FACTORS ASSOCIATED WITH FOODBORNE PATHOGENS AMONG FOOD HANDLERS IN THIKA, KIAMBU COUNTY, KENYA JOSEPH MAINA KIMEMIA A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF MASTER OF PUBLIC HEALTH DEGREE OF MOUNT KENYA UNIVERSITY JUNE 2023 ii DECLARATION AND APPROVAL iii DEDICATION This project is dedicated to my family. Special thanks to my late grandpa, Mr. Joseph Maina, for his words of wisdom and motivation. iv ACKNOWLEDGEMENT Firstly, I would like to acknowledge God who has given me the gift of life, grace, and the strength to develop and accomplish this work. I would like to recognize the DAAD organization for granting me this opportunity in pursuing this master’s scholarship. I appreciate all my friends and family members for their ceaseless support to ensure that I finish this course successfully. My utmost gratitude goes to my supervisors Dr. John Kariuki and Dr. Alfred Owino, who dedicated their time and effort to make sure that I accomplish my academic goal. Not forgetting my Data collection team, the Sub-County ward public health officers, and Mount Kenya librarians who greatly dedicated their time and efforts to see this work done. Lastly, Special thanks go to Mount Kenya University's department of Community Health Epidemiology and Biostatistics for their ceasless support. v ABSTRACT Increasing risks of infections with foodborne pathogens may occur as a result of poor food handling practices. The present cross-sectional study employed a mixed-methods approach to determine the factors associated with foodborne pathogens among food handlers working in food establishments in Thika, Kiambu County, Kenya. Random sampling was used to enrol respondents in the survey. A single stool specimen was collected from each study participant. Laboratory analysis of the specimen was done to test for selected foodborne pathogens. Overall, 44 out of the 285 food handlers who took part in the study had at least one food-transmitted pathogen, putting the prevalence of foodborne infections among the food handlers at 15.4% (95% confidence interval (CI) 11.7%–20.1%). The findings from binary logistic regression indicated the following protective factors for foodborne pathogens among the studied food handlers: being female (adjusted odds ratio (AOR) 0.098 (95% CI 0.0304 to 0.315, p< 0.001); having a valid medical examination certificate (AOR 0.141 (95% CI 0.141 to 1. 0.439, p = 0.001)); not boiling or treating water before serving the water to customers was a risk factor for having infections with foodborne pathogens (AOR 3.043 (95% CI 1.2225 to 7.577, p = 0.017)). The presence of foodborne pathogens among the food handlers in the study area potentially highlights the need to address the spread and transmission of foodborne infections in the study area. There is a need to institute appropriate control measures, including reducing the duration of regular screening of food handlers for foodborne illnesses in addition to training them on safe food handling practices, hand hygiene practices with provision of running water should be mandatory, regular monitoring of the food handling practices and policies on antimicrobial resistance of foodborne pathogens should be included in food safety control. vi TABLE OF CONTENTS DECLARATION AND APPROVAL ........................................................................... ii DEDICATION ............................................................................................................... iii ACKNOWLEDGEMENT ............................................................................................. iv ABSTRACT ..................................................................................................................... v LIST OF TABLES ......................................................................................................... ix LIST OF FIGURES ........................................................................................................ x LIST OF ABBREVIATIONS AND ACRONYMS ..................................................... xi CHAPTER ONE .............................................................................................................. 1 INTRODUCTION ........................................................................................................... 1 1.1 Background of the study ............................................................................................. 1 1.2 Statement of the Problem ............................................................................................ 3 1.3 Objetives of the Study ................................................................................................. 4 1.3.1 General Objetive ...................................................................................................... 4 1.3.2 Specific Objectives ................................................................................................... 4 1.4 Research Questions ..................................................................................................... 5 1.5 Justification of the Study ............................................................................................. 5 1.6 Significance of the Study ............................................................................................ 6 1.7 Scope of the Study ...................................................................................................... 6 1.8 Study Limitations ........................................................................................................ 7 1.9 Delimitations ............................................................................................................... 7 1.10 Study Assumptions .................................................................................................... 7 1.11 Definitions of Operational Terms ............................................................................. 8 CHAPTER TWO .......................................................................................................... 10 LITERATURE REVIEW ............................................................................................. 10 2.0 Introduction ............................................................................................................... 10 2.1 Theoretical Framework ............................................................................................. 10 2.2 Empirical Literature .................................................................................................. 11 2.2.1 Prevalence of foodborne pathogens ....................................................................... 11 2.2.2 Food-borne pathogens ............................................................................................ 15 2.2.3 Sociodemographic factors ...................................................................................... 20 2.2.4 The level of knowledge of food hygiene and safety practices ............................... 20 vii 2.2.5 Association between food handling practices and prevalence of foodborne pathogens. ................................................................................................................ 22 2.3 Conceptual Framework ............................................................................................. 23 2.4 Summary of Literature Review ................................................................................. 24 CHAPTER THREE ...................................................................................................... 27 RESEARCH METHODOLOGY ................................................................................ 27 3.0 Introduction ............................................................................................................... 27 3.1 Study design .............................................................................................................. 27 3.2 Study Variables ......................................................................................................... 27 3.3 Study Area ................................................................................................................. 27 3.4 Target Population ...................................................................................................... 28 3.4.1 Inclusion Criteria .................................................................................................... 28 3.4.2 Exclusion Criteria ................................................................................................... 29 3.5 Sample Size ............................................................................................................... 29 3.6 Sampling Technique .................................................................................................. 29 3.7 Data Collection method and procedures ................................................................... 30 3.7.1 Questionnaire ......................................................................................................... 30 3.7.2. Focus group discusión guides and key informant interview ................................. 31 3.7.3 Observation Checklist ............................................................................................ 31 3.7.4 Sample collection and laboratory procedures. ....................................................... 32 3.8 Testing for Validity and Reliability .......................................................................... 33 3.8.1 Pilot Testing ........................................................................................................... 33 3.8.2 Testing for Validity and Reliability ....................................................................... 33 3.9 Data Analysis Techniques and Procedures ............................................................... 33 3.10 Ethical Considerations ............................................................................................ 34 CHAPTER FOUR ......................................................................................................... 35 RESEARCH FINDINGS AND DISCUSSIONS ......................................................... 35 4.0 Introduction ............................................................................................................... 35 4.1 Response Rate ........................................................................................................... 35 4.2 Demographic Information ......................................................................................... 35 4.3 Prevalence of selected foodborne pathogens ............................................................ 37 4.4 Knowledge of food hygiene and safety practices. .................................................... 39 4.5 Food handling practices ............................................................................................ 45 viii 4.6 Biviriate analysis on assessment of the association between sociodemographic characteristics and prevalence of foodborne pathogens. .......................................... 48 4.7 Biviriate análysis on evaluation of the association between food handling practices and prevalence of foodborne pathogens................................................................... 53 4.8 Findings based on observations made on the studied food establishments .............. 59 CHAPTER FIVE ........................................................................................................... 63 SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS .............................. 63 5.0 Introduction ............................................................................................................... 63 5.1 Summary of Findings ................................................................................................ 63 5.2 Conclusions ............................................................................................................... 63 5.3 Recommendations ..................................................................................................... 64 5.4 Recommendation for Further Studies ....................................................................... 65 REFERENCES .............................................................................................................. 66 APPENDICES ............................................................................................................... 71 Appendix I: Introduction Letter ...................................................................................... 71 Appendix II: Informed Consent form. ............................................................................ 72 Appendix III: Questionnaire ........................................................................................... 75 Appendix IV: Observation Checklist .............................................................................. 81 Appendix V: Introduction Letter .................................................................................... 83 Appendix VI: ERC Certificate ........................................................................................ 84 Appendix VII: Research Permit Nacosti ......................................................................... 85 Appendix VIII: Clearance To Conduct Research In Kiambu County ............................ 86 Appendix IX:Map of Kiambu County ............................................................................ 87 Appendix X: Similarity Index ......................................................................................... 88 ix LIST OF TABLES Table 1: Sampling framework ........................................................................................ 30 Table 2: Sociodemographic characteristics of the study Participants ............................ 36 Table 3: Responses on the causes of foodborne pathogens. .......................................... 41 Table 4: Assessment of knowledge on food hygiene practices, routes of transmission of foodborne pathogens and symptoms of foodborne illnesses. ......................................... 42 Table 5: Assessment of knowledge of food hygiene ..................................................... 43 Table 6: Assessment of knowledge on food contamination ........................................... 44 Table 7: Level of knowledge on food hygiene and safety practices .............................. 44 Table 8: Food handling practices ................................................................................... 46 Table 9: Association between sociodemographic characteristics and prevalence of foodborne pathogen. ....................................................................................................... 52 Table 10: Bivariate analysis of the association between food handling practices and the prevalence of foodborne pathogens. .............................................................................. 57 Table 11: Multivariable analysis on the association between food handling practices and the prevalence of foodborne pathogens. ......................................................................... 59 Table 12: Distribution of the food premises .................................................................. 60 Table 13: Distribution of food handlers ......................................................................... 60 Table 14: Observations on food handling practices and hygiene .................................. 62 x LIST OF FIGURES Figure 1: The worldwide problem of foodborne ailment (DALYs per 100,000 population) by risk clusters and subregions for 2010. ................................................... 13 Figure 2: Foodborne Disability-Adjusted Life Years (DALYs) per 100,000 population, per World Health Organization sub-region. ................................................................... 13 Figure 3: Conceptual Framework ................................................................................... 24 Figure 4: Food handling experience of the studied food handlers ................................. 37 Figure 5: Prevalence of selected foodborne pathogens .................................................. 38 Figure 6: Source of information on food hygiene and safety practices among food handlers .......................................................................................................................... 40 xi LIST OF ABBREVIATIONS AND ACRONYMS CAC : Codex Alimentarios Commission CDC : Centre for Disease Control and Prevention CIDP : County Integrated Development Plan COR : Crude Odds Ratio DPH : Department of Public Health FBD : Foodborne diseases FDG : Focus Group Discussion ISO : International Organization for Standardization KEBS : Kenya Bureau of Standards KII : Key Informant Interview LMICs : Lower middle-income economies OFSP : Orange Fleshed Sweet potato PPEs : Personal Protective Equipment SCFHs : Street Cooked Food Handlers SPSS : Statistical Package for Social Sciences TCBS : Thiosulfate Citrate Bile Salts Sucrose WHO : World Health Organization 1 CHAPTER ONE INTRODUCTION Chapter one provides an introduction to the study by discussing the background and context of the research, including the problem that the study aims to address. It also outlines the objectives of the study and explains the meaning and scope of the research. Additionally, the chapter discusses the limitations and delimitations of the study, which may affect the generalizability and applicability of the findings. 1.1 Background of the study Food safety is an essential public health matter to prevent foodborne diseases. To respond to the expanding cases of foodborne diseases, governments in different parts of the world are increasing their strategies for improving food safety Dagne et al., (2019). Both food producers, processors, distributors, and customers are interested in having safe food for healthy living. Those foods that do not cause injury or sickness to the customer have been defined as safe food. In the context of food safety, handling, preparing, and storing food in such a way as to prevent contamination by harmful chemicals is referred to as food safety. Pathogenic microorganisms that cause food-borne illnesses are also included in Mekonnen et al., (2021b). Food that has been contaminated with toxins or bacteria may be the source of food poisoning. If insufficient preservation measures are performed, the food may also get contaminated due to the bacteria that are present on the nails or skin of the person handling the food. This may also happen if incorrect handling practices are used, as can filthy contact surfaces. In an environment that is polluted due to improper food preparation and storage practices, disease-causing microbes including viruses, bacteria, and other food-borne pathogens have the potential to flourish and spread Zyoud et al., (2019). Signs and symptoms of toxigenic food poisoning mostly appear within the first 2 24 hours after consumption of filthy foods, symptoms of contaminated food include vomiting, nausea, fever, severe headache, pain in the abdomen, and diarrhea. Life- threatening conditions such as hepatic failure, neurological and renal failure may occur which can cause severe morbidity and mortality depending on the virulence of pathogens and microbes ingested Tshipamba et al., (2018). Foodborne pathogens are rampant in developing nations, including Kenya, due to the current poor food handling methods, poor regulatory systems, and inadequate safety laws on food, lack of education among handlers, and inadequate funds to buy safety equipment for use in food industries Karari, (2019). Between the years 2017 and 2018, there was an outbreak of Listeriosis in South Africa from a company that was processing meat and it led to 978 people being infected and 183 people dying while 15 countries that imported the meat from the processing company were put at risk Smith et al., (2019). Consequently, this reveals how the core activities of food safety such as control and assurance policies have been neglected. It is the lack of precautionary measures, inadequate oversight systems, poor certification as well the absence of training on proper hygiene measures that contribute to food-borne disease outbreaks, Boatemaa et al., (2018). In Kenya, the informal food sector largely accounts for at least 80% of the local markets. The hygiene control of this sector is limited because monitoring is difficult. It is because of inadequate hygiene control in these informal sectors that promotes the incidences of food-borne illnesses Oloo, (2015). In the Kenyan context, guided by Kenyan law (food drugs and chemical substances Act, Cap 254), every food handler must be subjected to routine medical examination of food handlers to reduce the spread of foodborne diseases. This entails Stool and urine tests for Salmonella Enterica, Campylobacter spp, Entamoeba histolytica, parasites, and urethra infections. 3 Studies on the factors related to food safety practices among food handlers have been carried out in specific regions of Kenya, such as hospital environments Abuga et al., (2017). These studies are important because they provide a countrywide analysis of foodborne diseases, safe food knowledge practices, training and awareness on food safety, safe food handling practices, and compliance levels of food handlers on regulatory bodies of food safety. However, published information concerning food safety in Thika sub-County is lacking. It is from this backdrop that this study aims to shed more light. 1.2 Statement of the Problem In both developed and developing countries, food safety is still a menace. According to WHO 2021 reports, over 200 infections reported were as a result of consuming food contaminated by pathogens. Food contamination can occur at any stage of the food chain leading to foodborne illnesses Jung et al., (2021). The careless handling of food by food handlers can increase the transmission of foodborne pathogens. Studies suggest that approximately 10% to 20% of foodborne illness outbreaks occur due to contamination of food by food handlers Dagne et al., (2021). According to Erick Yen et al., (2020), in Kenya, contaminated food contributed to recent cholera outbreaks that killed 76 and 3967 hospitalizations in the initial months of 2017. Studies have reviewed the cost of care among those affected by food-borne illness as at KSH 1,034 and KSH 4,136 in Nigeria and Ethiopia per case respectively Hoffmann & Baral, (2019). However, data concerning foodborne diseases in Africa is still rare Legesse et al., (2017). Research has confirmed that food poisoning can result from the absence of knowledge on food safety practices and failure to implement the acquired knowledge. Additionally, inadequate training and awareness of hygiene and handling techniques among traders and 4 retailers can also play a role in the spread of foodborne diseases WHO (2016). The role of food handlers to ensure food safety practices in food premises is highly significant. Likewise, it is paramount to understand their level of food handling knowledge. Different cross-sectional studies have been conducted. However, foodborne illnesses among food handlers in food premises have been rarely studied in the Kenyan context Carron et al., (2018). Therefore, it is significant to comprehend the association of the existing food safety practices, and knowledge of food handlers with food-borne illnesses to reduce foodborne outbreaks. From the above backdrop, the study aimed to determine factors associated with food-borne pathogens among food handlers in food premises of Thika, Kiambu County, Kenya. 1.3 Objetives of the Study 1.3.1 General Objetive To assess factors associated with food-borne pathogens among food handlers of Thika Sub County, Kiambu County, Kenya. 1.3.2 Specific Objectives 1. To determine the prevalence of selected foodborne pathogens among food handlers in Thika, Kiambu County. 2. To assess the level of knowledge on food hygiene and safety practices among food handlers in Thika, Kiambu County. 3. To examine social-demographic characteristics of food handlers associated with food-borne pathogens in Thika, Kiambu County. 4. To determine the association between food handling practices and the prevalence of foodborne pathogens among food handlers in Thika, Kiambu County. 5 1.4 Research Questions 1. What are the most prevalent selected foodborne pathogens among food handlers of Thika, Kiambu County? 2. What is the level of knowledge on food hygiene and safety practices among food handlers in Thika, Kiambu County? 3. What are the social-demographic factors associated with foodborne pathogens among food handlers in Thika, Kiambu County? 4. What is the association between food handling practices and the prevalence of foodborne pathogens among food handlers in Thika, Kiambu County? 1.5 Justification of the Study In Africa particularly Kenya, little research work has focused on the surveillance of foodborne pathogens. There may be a far larger number of cases of foodborne illness than the Ministry of Health reports, due to both underreporting and a lack of proper diagnostic facilities. A report by WHO on foodborne diseases in 2015 reported that FBDs in LMICs are a menace due to poor hygienic practices, inappropriate food handling methods, and lack of infrastructure. This is connoted by ignorance, poor food sanitation practices, poor enactment of food safety laws, inadequate regulatory systems, and inadequate financial resources. Even though governments worldwide have different approaches to improving food safety in the food supply, the prevalence of foodborne disease continues to be a considerable issue. In this regard, the safety of food handlers is thus one of the most indispensable health and safety aspects that many developing countries experience in food-eating premises that it results in social and public health problems. These foodborne diseases pose a big public health challenge and are foreseeable to be of concern in the future 6 despite some global and local successes in fighting them due to the increase of local food- eating premises. Based on the above background, it is imperative to determine the factors associated with food foodborne pathogens among food handlers in the food premises of Thika, Kiambu County, Kenya. 1.6 Significance of the Study The findings derived from this research may be used to formulate interventions at the community level aimed at deepening the knowledge and food handling practices of food handlers concerning the prevention and control of foodborne pathogens, and information on safe practices on food handling to reduce the cases of food poisonings and the outbreak of foodborne diseases at the communities. Likewise, from these research outcomes, the government can establish the effectiveness of regulatory bodies in food safety practices among food handlers. If the policies are not well implemented, the government can put stricter measures to ensure food safety. The findings and suggestions from this study may also contribute to the formulation of policies that fund extensive educational initiatives on food safety and cleanliness. The study will also provide important information to current and potential scholars on the factors associated with foodborne illnesses among handlers. It will enable them to expand their knowledge on the same topic, identify gaps and find specific areas to conduct further research. The information from the study will aid in bridging the gap in information on the prevalence of foodborne pathogens, and the association with food safety practices among food handlers in food-eating premises of Thika, Sub-County through documentation of the research findings. 1.7 Scope of the Study The study examined the factors related to foodborne pathogens among food handlers working in Thika Sub County, located in Kiambu County, Kenya. The participants of the study were food handlers working in specific food establishments within the selected 7 areas. These premises must have been licensed to operate by the local county government, and there is a record of their existence. The study covered social demographic factors, knowledge of foodborne pathogens, and food handlers’ practices that are associated with foodborne pathogens in selected food establishments. 1.8 Study Limitations The present study is not without limitations. Time limitation when collecting data was a big challenge due to busy working hours. Only one stool specimen was collected from each participant. However, it is known that the studied foodborne pathogens are transmitted intermittently in the stool of chronic carriers (Salvato, et, al, 2005) Thus, our study may have underestimated the prevalence of foodborne pathogens infections among food handlers. 1.9 Delimitations Time limitation was addressed by employing more data collection team members to help in data collection. The study was delimited to licensed food handlers of the Thika sub- county, the prevalence of selected foodborne pathogens, socio-demographic factors, and knowledge of food handlers on factors associated with foodborne pathogens. The study was further delimited to a questionnaire, checklist, and laboratory analysis of stool samples, focus group discussion guide, and key informants interview guide as tools for data collection. 1.10 Study Assumptions The study assumed that the participants willingly collaborated and, in the right conscience, provided genuine responses to the questionnaires provided to them. Further, the researcher assumed that the conclusions derived from the study sample were adequate to give a general deduction concerning the factors connected with foodborne pathogens among food handlers in Thika, Kiambu County, Kenya. 8 1.11 Definitions of Operational Terms Eating and drinking premises: In this study, this applies to licensed premises where food is prepared and served for commercial purposes (Cap 242 laws of Kenya). Food handler: This refers to any person who works in the kitchen as a cook, chef, waitress, or waiter; this person comes into close contact with food and food substances during its preparation, processing, production, packaging, and distribution (Cap 254 laws of Kenya) Food handling: Refers to those aspects involved in the preparation, storage, transport, packaging, covering, or delivery of food (Cap 254 laws of Kenya) Food premises: Includes both eating and drinking establishments (Cap 254 laws of Kenya) Food safety: Guarantee that the food provided will not cause any health danger to the consumers after its preparation and consumption to satisfy their needs. Dagne et al., (2019) Foodborne disease outbreak -this is defined as: -Two or more people suffering from a similar disease, usually gastrointestinal after consuming a common food and epidemiological analysis links food as the common source of illness CDC, (2019). Foodborne diseases: These are the disease that arises after consuming contaminated food. Various disease-causing pathogens or microbes can contaminate food; thus, there are various kinds of foodborne diseases. Many foodborne illnesses are due to contaminations caused by parasites, bacteria, and viruses CDC, (2019). Knowledge: An awareness, understanding, or familiarity of something, for instance, skills or information, which is attained through learning, education, or discovering Mekonnen et al., (2021). Licensed: limited under the county government. 9 Personal hygiene: It is a personal protective responsibility practice that enhances cleanliness and reduces infectious diseases, mainly those spread through direct contact. These practices include cleaning hands with sanitizer, soap, and water and keeping clothes and the body always clean (Cap 242 laws of Kenya). Regulatory bodies: They are government entities, for example, the Kenya Bureau of Standards (KEBS) and the Public Health that ensure the safety of food products. Selected food establishments: Includes hotels, restaurants, and butcheries licensed by the county government of Kiambu. 10 CHAPTER TWO LITERATURE REVIEW 2.0 Introduction The conceptual framework and empirical review are presented in this chapter. This is followed by a criticism of the examined literature, the identification of research gaps, and, ultimately, a summary of the reviewed literature 2.1 Theoretical Framework The epidemiological triangle model is the theoretical framework. The model has three corners: the host, the agent, and the environment. The agent produces the illness, the host has the sickness, and the environment allows the disease to spread. In public health, this model is often used to examine the transmission of infectious illnesses Merrill, (2012). The chain of infection occurs when an infectious agent reaches a susceptible host after leaving the source, whether via indirect or direct contact CDC, (2015). The microorganism is the agent, the food handler is the host, and the food premise is the setting in which this research will be conducted. It is possible to have a food-borne epidemic in a hotel if two or more guests become sick after eating anything from the same dish. The Centers for Disease Control and Prevention, (2012) food can be contaminated by biological, chemical, or physical means. ServSafe, (2013) Working with raw and cooked food on the same tabletop while cleaning food-contact surfaces is a common way for food handlers to contaminate both the food they prepare and the food they serve. Other ways include touching soiled surfaces, being ill at the time of the job, and cooking the food incorrectly ServSafe, (2013). People with Escherichia Coli infections are more likely to have eaten ground beef from a fast-food restaurant, according to a study by Kassenborg et al. Over half of the hotel 11 managers failed to use a thermometer to verify the meal's temperature before serving, and a third failed to wash and rinse food-contact surfaces before serving, according to research on food handling procedures conducted by Brown et al. (2013). According to Summer and co-authors Summer et al. (2011), 20% of respondents experienced working while unwell with symptoms including vomiting and diarrhea at least once, while another 12% reported working while ill for more than two shifts. Foodborne infections are caused by food handlers' ignorance, simple errors, and unsafe food handling methods in food outlets. Interfering with the chain of transmission destroys the relationship between the agent, host, and environment and thereby prevents the food- borne disease from spreading CDC, (2012). 2.2 Empirical Literature 2.2.1 Prevalence of foodborne pathogens Global prevalence Globally one person in ten falls ill from foodborne pathogens, and 420,000 people die yearly, WHO, (2015). The Centers for Disease Control and Prevention (CDC) reported that in the United States, approximately 9 million instances of foodborne illness, 56,000 hospitalizations, and 1,300 deaths occur each year as a result of foodborne infections. This is an indication that the prevalence of foodborne infections is a challenge for not only underdeveloped but also developed nations CDC, (2019). Globally, the prevalence of food-borne pathogens is high and most of them remain undetected and untreated. A study done in Pakistan reported a 9.1% prevalence of Salmonella typhi among food handlers Siddiqui et al., (2015). Different research conducted in Ethiopia revealed a salmonella prevalence rate of 5.04% across the board and Shigella spp Marami et al., (2018). In Nigeria, a high prevalence of 31.5% was reported among food handlers JO et al., (2015). 12 Regional Prevalence Food safety continues to be an essential requirement for the protection of public health all over the world. Both developed and developing countries are equally at risk from the widespread threat posed by food-borne infectious diseases, which pose a serious threat to public health. According to a report published by the WHO in 2018, there were approximately two million deaths among children under the age of five that were attributed to diarrheal disease. It is important to remember that hundreds of millions of children do suffer from frequent episodes of diarrhea and the associated effects. This has been strongly linked to the presence of food or waterborne pathogens WHO, (2009). Around 290 million people are living in the United States of America, and according to research published by the Center for Disease Control and Prevention in those states, food- borne diseases are responsible for more than 76 million infections each year. It is important to keep in mind that approximately 18% of cases of the disease and 36% of mortality cases are caused by known pathogens, while the remaining cases are caused by unrecognized agents. There are more than 325,000 cases of diseases caused by food contamination that results in hospitalizations, resulting in more than 5000 cases of mortality. Figure 1 and Figure 2 present similar data on the international problem of foodborne diseases despite being collected at different timeframes. 13 Figure 1: The worldwide problem of foodborne ailment (DALYs per 100,000 population) by risk clusters and subregions for 2010. Source: Havelaar et al., (2015) Figure 2: Foodborne Disability-Adjusted Life Years (DALYs) per 100,000 population, per World Health Organization sub-region. Source: Torgerson et al., 2015; Kirk et al., (2015). 14 Africa Prevalence Foodborne pathogens are rampant in developing nations, including Kenya, due to the current poor food handling methods, poor regulatory systems, and inadequate safety laws on food, lack of education among handlers, and inadequate funds to buy safe equipment Karari, (2019). Studies carried out in the Northern area of Ethiopia indicate that 30.3 percent and 52.5 percent among handlers of food had effective food handling methods in Dangila and Gondar town correspondingly Gizaw, (2014). The study done in humans Metropolis Ghana found that the majority of the incidents leading to foodborne deaths are linked to poor knowledge and lack of awareness attributed to lack of food handlers’ pieces of training Ababio & Adi, (2012). Between the years 2017 and 2018 there was an outbreak of Listeriosis in South Africa from a company that was processing meat and it led to 978 people being infected and 183 people died while 15 countries that imported the meat from the processing company were put at risk Smith et al., (2019). Prevalence in Kenya, Kiambu County A demographic health survey of 2014 reported that over 15% of Kenyans were reported suffering from diarrhea two weeks before this survey was undertaken, of these cases, 4.4% were foodborne. The survey concluded that 1,328 Kenyans die yearly due to diarrheal Infections. Hospital data from 4 health centers in Thika Sub-County revealed that 725 cases of foodborne illnesses were reported between February 2021 and August 2021 as follows; Salmonella-200,campylobacter-165, E.histolytica-156 and parasitic infections-100 and UTIs-104 respectively. On 19th Oct 2022, the Ministry of Health Kenya announced the multi-County cholera outbreak alert as follows; Kiambu(31), Nairobi(17), Muranga(1), Kajiado(2), Nakuru(2), Uashi Gishu(8) resulting from a wedding occasion that was held in Kiambu County. This 15 led to thirteen(13) cases being hospitalized and forty (40) treated as outpatients. MOH,(2022). 2.2.2 Food-borne pathogens A great number of diseases have been caused by different types of Foodborne pathogens causing substantial effects on human health and the entire population. Some of these pathogenic micro-organisms include; (Bacillus cereus, Campylobacter jejunitis, Clostridium botulinum, Clostridium perfringens, Cronobacter sakazakii, Escherichia coli, Listeria monocytogenes, Salmonella spp., Shigella spp., Staphylococcus aureus, Vibrio spp., and Yersinia enterocolitica), viruses (Hepatitis A and Noroviruses) and parasites (Cyclospora cayetanensis, Toxoplasma gondii, and Trichinella spiralis), together with other outbreaks. Foodborne pathogens studied in this research included Salmonella Enterica, Campylobacter spp, and Entamoeba histolytica. Salmonella Enterica This bacterium is gram-negative and is responsible for causing typhoid fever. It has a rod- like shape, is flagellated, and can only survive within the human body. The prevalence of this bacterium is particularly high in developing countries due to inadequate sanitation and insufficient food safety measures Siddiqui et al., (2015). This microorganism belongs to the Enterobacteriaceae family. There are more than 2,500 distinct serotypes, or serovars, that have been identified among the two main species of Salmonella, Salmonella enterica, and Salmonella bongori. Salmonella is a type of bacteria that is widely distributed and very hardy, capable of surviving for many weeks in dry conditions and several months in water Siddiqui et al., (2015). On the other hand, each serotype has the capability of causing disease in people. When some serotypes of bacteria infect people, the resulting illness is frequently severe and in some cases can even be fatal. On the other hand, the overwhelming majority of serotypes 16 can be found in several different hosts. These serotypes are responsible for the majority of instances of gastroenteritis, which is typically a basic condition that does not require any treatment from a doctor. Those who are young, old, or who have a damaged immune system are more likely to experience severe symptoms from this illness. The most widespread serovars of Salmonella that can be transmitted from animals to humans globally are Salmonella enterica serovar Typhimurium and Salmonella enterica serovar Enteritidis. Both of these serovars can result in severe sickness in humans Siddiqui et al., (2015). The World Health Organization (WHO) identifies these two serovars in this classification. Salmonellosis, an illness characterized by abrupt onset of symptoms such as fever, abdominal pain, diarrhea, nausea, and occasional vomiting, is caused by the Salmonella bacterium. Other symptoms may also be present. The development of sickness symptoms may occur anywhere from 6 to 72 hours (typically between 12 and 36 hours) after consumption of Salmonella, and the duration of the illness can range anywhere from 2 to 7 days. Salmonellosis is characterized by relatively moderate symptoms, and in the majority of instances, patients will recover even in the absence of any special therapy. Nevertheless, the related dehydration may sometimes progress to a severe state, which poses a significant risk to the patient's life, especially in younger patients and those who are older. Instances of salmonellosis may not be identified as part of a known outbreak and are categorized as sporadic cases, or they may not be recognized as such at all, even though significant Salmonella outbreaks often draw media attention. The percentage of sporadic cases ranges from 60–80 percent of all salmonellosis cases. WHO,(2018). Children and young adults in nations with low per capita income have a higher risk of contracting typhoid fever Crump et al., (2015). It is projected that there were 11.9 million 17 cases of typhoid fever in the year 2010 and that there were 129 thousand deaths that happened as a direct consequence of typhoid fever in poor and middle-income nations Mogasale et al., (2014). On the other hand, these cases may be underreported because the majority of cases are not reported because they are treated on an outpatient basis, and some of them are not treated at all. A person contracts typhoid fever by ingesting food contaminated with excreta and can survive in the stomach before attaching it to the small intestine. Campylobacter spp. Campylobacter spp is one of the most common infectious infections, and it is anticipated that it will continue to provide a threat to the health of people all over the world in the years to come. Both the incidence and prevalence have seen a significant rise in recent years around the globe, particularly in the Americas, Europe, Australia, and Africa. Campylobacter spp is an endemic disease that affects children across Asia and the Middle East. The primary reservoir of the disease and its primary route of transmission to people is poultry Legesse et al., (2017a). In 1886, Theodor Esherich may have detected campylobacters in the intestines of infants who had died of cholera infantum. Esherich named this condition "cholera infantum" Skirrow and Butzler (2019). Although Campylobacter was recognized in the 1940s, it was not until 1972 that it was identified by Dekyser and Butzler from the feces and blood of a young, previously healthy woman with acute febrile hemorrhagic enteritis Skirrow and Butzler (2019). Members of the Campylobacteraceae family, such as Campylobacter, Arcobacter, and Bacteroides ureolyticus, are generally benign commensal organisms present in humans and domestic animals Vandamme (2017). Individuals often move around either of the extremities of their cells with a single polar unsheathed flagellum in a distinctive corkscrew-like motion Vandamme (2017). 18 Menaquinones are the sole respiratory quinones that have been detected, and the primary components are menaquinone-6 and menaquinone-5. The Campylobacteraceae family does not ferment or oxidize carbohydrates to produce energy but instead relies on amino acids or tricarboxylic acid cycle intermediates for energy Vandamme (2017). All 14 Campylobacter spp. except for Campylobacter gracilis, exhibit oxidase activity Fitzgerald et al; Vandamme (2017). Since campylobacters are typically microaerophilic, they may be grown in environments that include 3–15% oxygen and 1–10% CO2 Forsythe (2016). Human gastrointestinal sickness is most often linked to the thermophilic campylobacters C. jejuni, C. coli, C. lardis, and C. upsaliensis. In the United Kingdom, C. coli and C. jejuni ssp. jejuni accounts for 95% of all clinical isolates Silva, Jet. al (2011). There is a preferred host for each strain of Campylobacter; for example, C. jejuni, the most frequent human pathogen, is strongly linked to chickens and has adapted to thrive in the digestive tract of birds kept at temperatures about 42 degrees Celsius van Igwaran, A., & Okoh, A. I. (2019). Because of its relatively high minimum growth temperature (>30°C), C. jejuni often does not replicate once ejected into the environment Wagenaa et al. (2015). Contrary to Salmonella, campylobacters are often unable to proliferate in food and are not typically associated with significant outbreaks of campylobacteriosis. In the summer, sporadic instances account for more than 90% of all cases. However, campylobacters, are to blame for the bulk of intestinal infectious disorders around the globe. Due to underreporting, the real public health incidence is thought to be up to ten times greater than the number of reported cases Allos (2015). Campylobacteriosis causes significant yearly losses due to medical expenses and missed workdays, amounting to $1 to $2 billion annually in the USA Forsythe (2016). 19 Entamoeba histolytica Protozoa known as Entamoeba histolytica is responsible for amoebic dysentery and amoebiasis. There is a possibility that a Sanskrit account of bloody mucoid diarrhea from 3000 BCE was the earliest episode of amebiasis ever recorded. 50 million individuals around the world are afflicted with amoebiasis, and the disease is responsible for over 100,000 fatalities each year, most of which occur in underdeveloped nations. At the worldwide level, Entamoeba histolytica is the third biggest cause of death from parasite diseases. Infection with E. histolytica is often asymptomatic; nonetheless, the parasite has the potential to cause severe disease. The origins, advantages, and precipitating factors of amoebic virulence are all quite complicated. The pathophysiology of the amoebic disease involves the breakdown of the mucosal barrier of the host, adhesion to the lumen of the colon, cytotoxicity, and invasion of the epithelium of the colon. Damage caused by the parasite might manifest as colitis and, in certain instances, as widespread illness. Both the genotypes of the host and the parasite, as well as the regulatory responses that each genotype is responsible for regulating at the interface between the host and the pathogen, have an effect on the course of the sickness. The environmental components of the host have an effect not only on the transmission of the parasite but also on the intestinal microenvironment that is influenced by E. histolytica infection. In this article, we focus on research that provides fresh light on previously undiscovered links between the host, the parasite, and environmental variables in the control of E. histolytic's virulence. This research was conducted by a team of scientists from the United States and the United Kingdom. Transmission may take place via the consumption of food and water infected with cysts as well as through fecal-oral pathways Kantor et al., (2018). 20 2.2.3 Sociodemographic factors Concerning age, a study done in Ethiopia significantly linked age with food safety practices Legesse et al., (2017a). However, other studies reported no significant difference between age and food safety practices Addo-Tham et al., (2020). Regarding gender, diverse results have been reported from previous research. One study done in Ethiopia reported that the female gender was more likely to have good food hygiene practices as compared to their male counterparts Lema et al., (2020). Contrary to this, several other studies did not have any significant relationship between gender and food hygiene and practices Oumer, (2019). Marital status, a study in Ghana reported a significant association between marital status and food safety practices Addo-Tham et al., (2020). However, some studies did not report any statistical association between marital status and food safety practices Lema et al., (2020). Concerning education status, a study done in Nigeria reported no significant association between education status and food hygiene knowledge and practices (Amelia Ngozi). This is dissimilar to a study in Ethiopia that significantly linked education status and food hygiene practices Lema et al., (2020). A study was done on the prevalence and associated factors of intestinal parasitic infections work experience were associated with intestinal parasitic infections Kumma et al., (2019). However, another study done in Ghana revealed no significant association between working experience and food safety practices Legesse et al., (2017b). Income was significantly associated with food hygiene practices among street vendors (Sarawak). 2.2.4 The level of knowledge of food hygiene and safety practices According to the WHO, contaminated food is responsible for 1.5 billion incidents of diarrhea in children and adults each year. The occurrence of food-borne diseases depends on food hygiene measures applied in the food production chain. However, this can also be affected by inadequate unhygienic 21 measures by the consumers. Studies carried out in the Northern area of Ethiopia indicate that 30.3 percent and 52.5 percent among handlers of food had effective food handling methods in Dangila and Gondar town correspondingly Gizaw, (2014). The study done in humans Metropolis Ghana found that the majority of the incidents leading to foodborne deaths are linked to poor knowledge and lack of awareness attributed to lack of food handlers’ pieces of training Ababio & Adi, (2012). Studies have recommended the use of different safeguarding measures to ensure the safety of humans during food consumption Eshetu et al., (2020). This includes washing hands after using the toilet, before touching any food, and after coming into contact with raw food by the use of soap and water for at least 15 seconds. It is also necessary to separate cooked and raw foods. Washing vegetables and fruits and other preventive measures. Studies done in Ethiopia have indicated that people fail to comply with hygiene and preventive techniques Eshetu et al., (2020). In the upcoming nations, many cases of food poisoning have risen due to the uptake of unhygienic foods, pesticide residues in water, and animal food products. Food poisoning does not only affect developing nations but also developed countries. This has been linked to a rise in demand for low-priced food and the inability to provide ideal care under the unhygienic condition when cooking and packaging foods Zyoud et al., (2019). The ability to comply with the lessons of food safety in the population should be highlighted and endorsed. Food consumers together with food handlers have been recognized as a critical factor in foodborne disease outbreaks which may arise from poor food handling in the process of planning, processing, and packaging. Foodborne illnesses can happen both in homes and at social events. In developing countries, a lack of knowledge regarding food safety can lead to a decrease in personal hygiene practices, poor handling of food, and inadequate household food preparation, 22 which all contribute to the outbreak of foodborne illnesses. This is often due to the contamination of raw foods with processed foods. Household preparation of food usually has a vital role in foodborne pathogens Tshipamba et al., (2018). Recognizing and understanding the significance of individuals' food safety knowledge, attitudes, and actions involved in food handling is a crucial step in assessing approaches to mitigate the incidence of foodborne illnesses. Therefore, food safety education is key to ensuring positive practices and good knowledge which can lead to increased food safety issues and thereby reduce the occurrence of foodborne pathogens Eshetu et al., (2020). 2.2.5 Association between food handling practices and prevalence of foodborne pathogens. Most food-borne infections caused by pathogens in humans are a result of the person handling that food having transmitted the pathogen to the food through improper handling of the food or poor sanitation of the environment in which the food is being kept. Food- borne infections have been recognized as a public health problem on a global scale and have been linked to the unsanitary handling of food and lack of sanitation procedures among those who work in the food industry Hossen et al., (2020). Foodborne illness results from the consumption of contaminated food, which can lead to the multiplication of pathogens in the human body or the ingestion of toxins produced by toxigenic pathogens in food. There are two main types of foodborne diseases: foodborne infection and foodborne intoxication. Foodborne infection typically involves an incubation period and a long time from ingestion to the onset of symptoms compared to foodborne intoxication Bintsis, (2017 ). Some of the common practices in handling food that results in to spread of pathogens include; inadequate handwashing, cross-contamination, storage and cooking temperatures, and lastly food contamination by animal wastes. There is a 23 need to advocate for good hygiene practices, especially on premises where food is being handled. This has been viewed as an effective strategy for protecting consumers from various public health risks. Insufficient and unhygienic handling practices account for a bigger proportion of food-borne disease outbreaks within society. Studies have estimated that 200 types of illnesses can be spread through food and water Hossen et al., (2020). For instance, in a study done in Bangladesh, the manifestation of foodborne illnesses and other food safety hazards was noticeably high due to the presence of dense populations, poor water sanitation, underdeveloped infrastructure, and unhygienic conditions. This has led to the occurrence of more than 30 million cases of foodborne illness in Bangladesh, of which the most occurring disease are diarrhea, hepatitis, and enteric fever. To keep the food free of contamination by microorganisms, chemicals, or other impurities that may render it unsuitable for human consumption, a variety of philosophies and practices have emerged around food safety Murimi & Waweru, (2020). The association between food handling practices and the prevalence of foodborne pathogens is very essential to prevent the spread of infectious pathogens linked to food and food processing, as well as to guarantee that food served to customers is not deceived Dagne et al., (2021). 2.3 Conceptual Framework Figure 3 shows the conceptual framework. The independent variables are social demographic factors, knowledge and awareness, and food handling practices related to food handlers in selected food premises. The intervening variable is law enforcement, while the dependent variable connotes the decrease in the prevalence of selected foodborne pathogens. 24 Figure 3: Conceptual Framework 2.4 Summary of Literature Review In Kenya, the majority population is in the middle-income and low-income groups who majorly work in the informal sector. Most of these populations eat their breakfast, lunch, and supper in the local food premises. Local food establishments constitute restaurants, Social demographic factors  Age  Gender  Level of education  Income status  Training  Religion  Work responsibility Prevalence of selected Foodborne pathogens.  Salmonella Enterica  Campylobacter spp  Entamoeba histolytica Food handling practices  Working environment  Personal Hygiene  Person Behaviors  Personal protective equipment  Valid required food safety certificates  HACCP Law Enforcement (regulatory systems)  Health policy  Existing health laws Independent variable Intervening variable Dependent variable Knowledge and awareness  Foodborne illnesses  Mode of transmission  Transmission paths  Food safety practices  Food laws and HACCP principles 25 market stalls, fast foods, and temporary food eateries. These premises are on arise especially in urban centers. Internationally and regionally, food-borne infections remain a serious public health problem. Every year, contaminated food is responsible for around 600 million cases of foodborne illness and 420,000 deaths in the United States. The World Health Organization (WHO) estimates that each year, 33 million healthy years of life are lost all over the world as a consequence of ingesting dangerous food, and this statistic is most definitely an understatement. World Health Organization, (2022) To ensure food safety, food handlers play a crucial role since they may introduce infections into foods during manufacturing, processing, and distribution (Ansari-Lari, Soodbakhsh & Lakzadeh, 2010). According to Siobhan S.reilly, Ph.D. Norovirus, Entamoeba histolytica, Salmonella, Clostridium perfringens, Campylobacter, and Staphylococcus aureus are the most frequent foodborne infections in Kenya. Foodborne infections are often caused and transmitted by food workers who lack enough expertise and engage in improper procedures. Food-borne disease transmission risks may be reduced in restaurants by enforcing strict food safety measures. To minimize the spread of food-borne diseases, all workers engaged in food preparation and handling must get proper training. Food safety knowledge, personal behaviors, limited resources, accessibility, equipment, training, and management all play key roles in improving food workers' knowledge and behavior, but education is also shown to be an important aspect of the process Phillips et al. (2014). Additionally, Pragelet al. (2013) revealed that food handling methods are influenced by management, training, and education. It was observed that certification affected food handling procedures Cates et, al., (2009). At the international level, a significant number of studies concerning the topic have been published. However, in the Kenyan context, there are scanty published works; further, 26 the same studies have focused on a few areas of the food industry. For example, Abuga, Nyamari, and Njagi (2017) focused on consumer food hygiene and safety practices in households while Malavi (2017) focused on the OFSP puree processing plant and bakery. There is limited information on the state of food safety in the food premises of Thika Sub- County. Therefore, this study intends to close the knowledge gap in information on the prevalence of foodborne pathogens in the sub-county by extending its focus to these premises. Recommendations will aid in the future development of policies that will provide a wide- ranging of training programs on food safety and hygiene practices. 27 CHAPTER THREE RESEARCH METHODOLOGY 3.0 Introduction This chapter focuses on various aspects of the methodology section such as the study design, study area, target population, study population, sampling techniques, data collection tools, reliability and validity, data analysis, and ethical considerations. 3.1 Study design A research design is a strategy or framework for conducting a study. As a consequence of this, the strategy is recommended since it allows respondents to express their views in a setting that is more natural Mugenda & Mugenda, (2010). A combination of qualitative and quantitative techniques was used in a descriptive analytical study design to investigate the factors associated with food-borne pathogens among food handlers in licensed food establishments located in Thika Sub-County, Kiambu County, Kenya. Employing a descriptive cross-sectional study enabled the researcher to collect data that made it possible to portray the relationship between food-borne pathogens and associated factors. Quantitative methods, according to Creswell (2009), are based on meticulous observation and measurement of the world's objective reality by generating numerical measurements of observation Creswell, (2009). 3.2 Study Variables The independent variables included socio-demographic attributes, knowledge, medical certification, working environment, personal hygiene and food safety practices while the dependent variable was the prevalence of selected foodborne pathogens. 3.3 Study Area Kiambu County is one of the 47 Counties in the country. It is adherent to Nairobi county and it is a fast-growing town. Geographically, the County is found in the Central region, 28 it covers an area of 2543.5 km2 of the region of which approximately one-fifth of this area is forest (NBS,2009). The geo-coordinates of Kiambu County are 1◦8′46.28″ S and 36◦57′59.4″ E. Thika Sub-County is one of Kiambu County's twelve sub-counties, and it is located in the western part of the county with five administrative wards namely, Hospital ward, Township ward, Gatuanyaga ward, Kamenu, and Ngoliba ward. According to the 2019 National census, Thika has a population of 279,429 with a total area of 217.5 km2 and an elevation of 5,351 ft from sea level. Thika Sub-County is the commercial hub and industrial town of Kiambu County. The economy of the Thika depends on agriculture, Industries like textile industries, bakeries, oil industries, pharmaceutical and chemical industries, moto vehicle dealers, and cigarette manufacturing industries. Thika sub-County is home to three universities, tens and hundreds of middle-level colleges, and secondary and primary schools consecutively, the sub-county also has many financial institutions. This makes the sub-county have a big number of food and drinking establishments which amounts to around 2000, bringing the importance of conducting this kind of research in this fast-growing area. 3.4 Target Population "Population" is defined by Sekaran, (2010) as the total number of units from whom a sample will be drawn. In the work of Schindler and Cooper (2006), the individuals or items being measured are referred to as "population elements". The study targeted food handlers in licensed food eateries (eating premises) within Thika Sub-County, Kiambu County, Kenya. Key informants comprised public health officers and hotel managers. 3.4.1 Inclusion Criteria The research included food handlers in the area of study, working in the sampled licensed food eating premises for at least a month and who have consented to take part in the study. 29 3.4.2 Exclusion Criteria The research excluded food eateries which had not been approved for operation by Kiambu county government and food handlers who were recently employed (had worked less than 3 weeks). 3.5 Sample Size The minimum sample size was calculated using the Yamane formula (1967) at a 95% confidence level and p-value of 0.05 Whereby; n = 994 1 + 994(0.05) 2 N = is the total number of food handlers (N=994, obtained from Kiambu County revenue office and Sub-County Public Health Office) e = is the degree of precision. (0.05) then n(sample size) was 285 study participants 3.6 Sampling Technique From the perspective of Kumar (2012), research sampling procedures describes how cases are going to be selected. Kiambu county was purposively selected as it is the second-most populous county after Nairobi county(KNBS,2022). Thika sub-county was randomly selected from a list of 12 sub-counties that constitute Kiambu county (CADP,2021.22). All the wards of Thika Sub-County were sampled. Using a list of licensed food premises in all five wards in the Thika sub-county, obtained from the county revenue office, probability proportion to size was used to determine the number of 30 licensed food premises that participated in the study. Further, the probability proportional to size sampling technique was used to determine the number of food handlers enrolled in the research from the selected food premises. Simple random sampling by use of rotary method was used to sample individual food handlers per premise. Two key informant interviews were conducted and the key informants were selected purposively. The key informants included one public health officer per ward. A total of eight focus group discussions, comprising eight to ten individuals, were also conducted. Table 1 shows the distribution of the study participants by ward. Table 1: Sampling framework Ward No. of licensed food premises by county government No. of food handlers per ward No.of sampled food handlers per ward Township 63 357 102 Kamenu 40 209 60 Hospital 32 230 66 Gatuanyaga 15 90 26 Ngoliba 15 108 31 Total 165 994 285 Source: Kiambu county Revenue office and Sub-County Public Health Office November (2021) 3.7 Data Collection method and procedures 3.7.1 Questionnaire The equipment used to gather data, according to Oso and Onen (2009), is referred to as a research instrument. An interviewer-administered questionnaire was used to capture data from the participants. A questionnaire is a trustworthy research tool because it allows the researcher to collect information that would otherwise be impossible to get via open observation. After all, they probe deeper into the motives, experiences, sentiments, and 31 successes of those involved Bryman & Bell, (2015). It is an appropriate instrument for data collection to gather objective information since it does not allow for the respondents to the study to be under the control of the investigator. The questionnaire had closed-ended questions. It was divided into four sections, including Section A, which covered socio-demographic characteristics, Section B, which covered the knowledge of food hygiene and safety practices, Section C, which covered food safety practices and Section D, which covered the Effectiveness of regulatory bodies. 3.7.2. Focus group discusión guides and key informant interview FGD and KII were used to obtain qualitative data from the participants to answer research questions and the conversation was recorded digitally. One Public health officer in every ward and hotel managers were included in the Key informant interviews. Sampled food handlers were included in the focused group discussions.One supervisor and 10 research assistants with background training in environmental health and medical laboratory were hired and trained to familiarize themselves with data collection tools, procedures, and research ethics. 3.7.3 Observation Checklist An observation checklist was used to evaluate the cleanliness of the surroundings, the overall cleanliness of the food, and the practices of food handlers when it comes to handling food. The observation was carried out using a developed and standardized scoring methodology by the main principles of Codex Alimentarius food hygiene. This study adopted the checklist used by Fields (2014). Study participants were issued with a checklist to fill on arrival to laboratory being tested for foodborne pathogens. Variables like the presence of running water, toilet, hand sink, ordinary or antibacterial soap, refrigerators, slicing board for chapati, meat, and vegetables, insect traps, sleeping rooms for workers, lavatories for males and females, cooking in an open environment, having a 32 municipal license and a fence to ward off animals. All mentioned variables were examined to assess the vendor's commitment to ensuring good food handling practices. 3.7.4 Sample collection and laboratory procedures. The prevalence of foodborne pathogens among the food handlers was conducted through laboratory testing of stool samples of consenting food handlers from licensed food premises in the area of study. The stool sample collection was matched with respondents when filling out questionnaires. A stool specimen was collected from each food handler in a tight-lid plastic container. Participants were instructed to collect a spoonful of stool samples in the provided containers and take the samples to the Thika level 5 hospital where the food handlers go for their routine food handler’s medical examination. Stool processing and examination were conducted at Thika level 5 hospital laboratory department by qualified laboratory technicians. For salmonella specimen’s rapid antigen test cassette was used. This rapid test was used for the qualitative identification of S. typhi antigens in human feces specimens to help in the diagnosis of S. typhi infections. In the absence of any T lines (IgM and IgG), the test results are considered negative. The presence of a colored control line (C) should always be shown whether a positive or negative result is obtained. Its absence suggests that the test findings were faulty. (Source: Biozek Medical.) To detect Campylobacter, a stool culture (inoculated onto Mac-agar, Conkey's xylose lysine deoxycholate, and TSCB agar according to the World Health Organization protocol was done. Negative results (no bacteria found) were reported while positive results (bacteria found) were reported (campylobacter infection). Entamoeba histolytic: A direct microscopic examination test (formol ether concentration (Ritchie), and staining with modified acid-fast staining procedures) was done for the detection of cysts and trophozoites in the stool for Entamoeba. Positive (amoebiasis), negative (amoebiasis) (No amoebiasis). This was done 33 from May 2022 to July 2022 until all the food handlers were subjected to laboratory testing. Sample collection was per the Ministry of Health Kenya laboratory sample collection guidelines. 3.8 Testing for Validity and Reliability 3.8.1 Pilot Testing According to Mugenda and Mugenda (2003), a pilot test is a test run of the methods and tools that the researcher intends to use throughout the study. The researcher can avoid making costly blunders by first conducting an inexpensive pilot study. Piloting is vital for eliminating any ambiguity, finding items that are expressed wrongly, and identifying occasions when there is not enough room to type responses. Pilot testing was conducted among 29 food handlers (10% of the sample size) randomly selected in a neighboring county (Murang’a County). Their views were analyzed, and results were used to improve the validity of the questions. 3.8.2 Testing for Validity and Reliability The researcher's questions should be able to be answered by the data that was obtained using the data gathering equipment. To ensure the questionnaire's validity, the feedback received from the experts was included in the final version. To ensure the validity and reliability of the laboratory tests, known samples were compared to the tests performed on an unknown patient's sample. 3.9 Data Analysis Techniques and Procedures After being imported into a sheet in Microsoft Excel, the quantitative data was then transferred into IBM SPSS version 24 for further analysis. To describe the categorical data, we employed both frequencies and percentages. The summary of the data was derived using the mean and the median for continuous data. Knowledge of food safety procedures was evaluated using a binary scale based on a set of 21 items to conduct an 34 inferential analysis. Those who answered correctly received a score of one, while those who did not receive any got 0. After the summation of all the scores, the respondents were dichotomized into those who had a low level of knowledge (scored less than 50%) and those who had a high level of knowledge (scored 50% or more). The study utilized various statistical methods to analyze the data. The Chi-square test of independence was used to examine the relationship between independent categorical variables and the dependent variable. For testing the association between a continuous variable and the categorical dependent variables, a t-test was used. Binary logistic regression analysis was employed to identify factors associated with foodborne illnesses while adjusting for confounders. The study also used Wilson's method to determine the 95% confidence interval Hald, (2008). The threshold of significant in hypothesis testing was set at a p-value <0.05. Qualitative data were transcribed and analyzed thematically using NVIVO v. 12 software. 3.10 Ethical Considerations According to Saunders, Lewis, and Thornhill (2012), a scientific study needs to offer adequate relevance to ethical considerations to make the entire research activity more credible. For this study, the investigator handed out informed consent papers for the subjects to fill out. The MKU Institutional Research Ethics and Review Committee were contacted to receive ethical approval (IREC). It was requested that the National Committee for Science, Technology, and Innovation provide additional permission (NACOSTI). The study was discussed with the relevant local authorities who were in charge. Before the presentation of the questionnaires and collection of the samples, it was determined whether the respondents had provided their informed consent. The findings were kept a secret from everyone, and personnel in the food industry who tested positive for any pathogen were given the appropriate treatment. 35 CHAPTER FOUR RESEARCH FINDINGS AND DISCUSSIONS 4.0 Introduction This chapter comprises the statistical analysis, presentation, and interpretation of the findings resulting from this study. The data analysis and interpretation of data were carried out in two phases. The first phase was based on the analysis of quantitative data captured using questionnaires. The second phase involved the analysis of qualitative data (data from observational checklists, key informant interviews, and focus group discussions). 4.1 Response Rate A total of 285 questionnaires were distributed to the study participants. Fifteen had missing data but the researcher was able to assess and include them in the analysis. Consequently, data analysis was done on all 285 questionnaires thus a response rate of 100%. The findings were presented in relationship to the research objectives stated in the study. In addition, the results were analyzed in the context of prior research and other relevant works of literature to highlight any parallels or discrepancies between the findings of this study and those of others. 4.2 Demographic Information In the current study, 285 food handlers were included and their socio-demographic characteristics were presented in Table 2. More than half of the participants were females (52.6%).This mighty have impacted on the high prevalence of foodborne pathogens among the females. The age of the participants varied from 18 to 58 years, with a mean age and standard deviation of 40.0 ± 11.63 years. Those who were aged twenty years and below were 6.3% while those who were aged more than fifty years were 22.5%. Participants who were aged between 41 and 50 years were 29.8%. The rest were aged 36 between 21 and 30 years and between 31 and 40 years (17.5% and 23.9% respectively). Analysis of the highest level of education attained by the study participants indicated that those who had attained primary, secondary, and tertiary education were 24.6%, 45.3%, and 27.7% respectively. The minority had no formal education (2.5%). Further, the majority were Christians (92.3%) and had not undergone training on food safety (74.4%). The study enrolled cooks (15.8%), cashiers (14.0%), service personnel (15.1%), and cleaners (12.3%) among other cadres of staff. Table 2: Sociodemographic characteristics of study participants Characteristic Frequency (n=285 (%)) Gender Male 135(47.4) Female 150(52.6) Age (years) ≤20 18(6.3) 21-30 50(17.5) 31-40 68(23.9) 41-50 85(29.8) >50 64(22.5) Level of education Primary 70(24.6) Secondary 129(45.3) Higher education 79(27.7) No formal education 7(2.5) Religion Christians 263(92.3) Muslim 22(7.7) Location Gatuanyaga 26(9.1) Hospital 65(22.8) Kamenu 61(21.4) Ngoliba 31(10.9) Township 102(35.8) Work experience < 1 month 20(7.0) 1-6 months 76(26.7) >6 months - 1 year 80(28.1) > 1 year 109(38.2) Work responsibility Cook 45(15.8) Cashier 40(14.0) 37 Service 43(15.1) Cleaner 35(12.3) All 98(34.4) Other 24(8.4) Trained in food safety Yes 73(25.6) No 212(74.4) Source: Field Data (2022) Figure 4 displays the work experience of the studied food handlers. The minority had worked for less than one month (7.0%). Those who had worked for more than one year were 38.2% while the rest had worked for a period of between one and six months (26.7%) and between 6 months and one year (28.1%). Figure 4: Food handling experience of the studied food handlers 4.3 Prevalence of selected foodborne pathogens Laboratory analysis of stool samples from the enrolled food handlers revealed 8, 12, and 24 cases of Campylobacter spp., S. typhi, and E. histolytica infections respectively. The corresponding prevalence of infections was as follows 4.2% (95% CI 2.4% - 7.2%), 2.8% (95% CI 1.4% - 5.4%), and 8.4% (5.7% - 12.2%) respectively. Overall 44 out of the 285 38 food handlers who took part in the study had at least one food-transmitted pathogen (prevalence 15.4%, 95% CI 11.7% - 20.1%) as shown in figure 5. Figure 5 illustrates the prevalence of selected foodborne pathogens isolated from the samples collected from the participating food handlers. Figure 5: Prevalence of selected foodborne pathogens Compared to the findings from our study, a similar survey done in Southwestern Nigeria showed a much similar prevalence of salmonellosis (7.0%) Olalekan (2018). The prevalence of foodborne pathogens documented in a study conducted among food handlers in catering establishments of public institutes in Dawuro Zone, South-Western Ethiopia was similar to the findings of the present study. In the Ethiopian study, the prevalence of salmonellosis was 6.4% Derso et al., (2017). However, another study conducted in the Conghua district of Guangzhou China revealed a higher prevalence of salmonellosis ranging at 20.39% Gong et al., (2022). Another study conducted in Gondar town in Ethiopia revealed a much lower prevalence of salmonellosis ranging to 5.5% Ejo et al., (2016). This was also consistent with another study conducted in Ambo and Holeta Towns in Ethiopia which recorded a prevalence of salmonella at 5.7% Gebremedhin et 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00% 16.00% 18.00% E.histolytica Campylobacter spp. S.typhi Overall Prevalence of selected foodborne pathogens 39 al., (2021). Another study done in a chicken slaughterhouse in Jiangsu china recorded a higher prevalence of 57% Gu et al., (2020). From this study, the prevalence of Entamoeba histolytica was 4.2%, these findings were similar to a study done in northeastern Brazil which recorded a prevalence of Entamoeba histolytica at 6.8%Silva et al., (2014). Another study conducted in Nishtar Hospital, Multan recorded a higher prevalence of entamoeba at 21.7% Alam et al., (2015), this was consistent with a study conducted on stool specimens at Muhondo Health Center, Rwanda recorded a prevalence of 16.8% regarding Entamoeba histolytica/dispar Gahamanyi et al., (2016). The current study found a 2.8% prevalence of Campylobacter spp. However, other studies conducted in different settings have reported a higher prevalence of this pathogen. For instance, a study conducted in South Africa reported a higher prevalence of 14.7% (Samie et al., 2022). A similar study done in West Africa recorded a higher prevalence of Campylobacter spp standing at 34%(Paintsil et al., 2022). The most probable explanation for the discrepancy in the findings between the surveys is the study population variance. 4.4 Knowledge of food hygiene and safety practices. Asked about their main source of knowledge on food hygiene and safety practices, the studied food handlers mentioned mass media (35.4%), health professionals (31.9%), and health centers (32.6%) as shown in Figure 6. These findings were similar to another study done in the metropolitan city of Nepal and among food handlers in Bahir Dar town, northwest Ethiopia Derso et al., 2017; Gautam et al., (2019) 40 Figure 6: Source of information on food hygiene and safety practices among food handlers Inquiries on the causes of foodborne pathogens yielded the responses displayed in Table 3. The majority of the interviewed food handlers mentioned germs as the causative agent of foodborne illness (64.6%). Those who responded in the affirmative on being asked if Salmonella spp. and Campylobacter spp. were causative agents of foodborne illness were 49.8% and 38.9% respectively. Similar findings were also reported in two similar studies done in the Desie region of Ethiopia and Northwest of Ethiopia Adane et al., 2018; Alemayehu et al., (2021). Mass media 35% Health professionals… Health centre 33% % Mass media Health professionals Health centre 41 Table 3: Responses on the causes of infections with foodborne pathogens among food handlers Response Number (n=285(%)) Salmonella spp. Agree 142(49.8) Disagree 143(50.2) Campylobacter spp. Agree 111(38.9) Disagree 174(61.1) Causes of foodborne illnesses Germs 184(64.6) Chemicals 75(26.3) Do not know 26(9.1) Source: Field Data (2022) Table 4 exhibits the findings on the assessment of the participant's knowledge of food hygiene practices, routes of transmission of foodborne pathogens, and symptoms of foodborne illnesses. The respondents reported that hand washing should be done at specific times, which include after using the restroom (41.9%), before and after preparing food (42.5%), after touching any object (33.3%), and after handling money (33.7%). The main routes of transmission of food-borne illnesses are contaminated food (42.5%), contaminated water (40.0%), and vectors (60.7%), as stated by the study participants. Symptoms of foodborne illnesses mentioned by the study participants included vomiting (31.9%), fever (36.5%), and diarrhea (32.6%). 42 Table 4: Assessment of knowledge on food hygiene practices, routes of transmission of foodborne pathogens, and symptoms of foodborne illnesses. Attribute Number (n=285 (%)) Best time for handwashing After using toilet 140(41.9) Before and after food preparation 121(42.5) After touching anything 95(33.3) After counting money 96(33.7) Main routes of transmission of food-borne illnesses Contaminated food 121(42.5) Contaminated water 114(40.0) Vectors 173(60.7) Do not know 35(12.3) Symptoms of foodborne illnesses Vomiting 91(31.9) Fever 104(36.5) Diarrhea 93(32.6) Do not know 30(10.5) Source: Field Data (2022) The majority of the respondents (52.6%) were in agreement with the statement that “Poor hygiene causes cross contamination” with those who agreed and strongly agreed to be 17.2% and 35.4%. Those who were in agreement and strong agreement with the statement that good hygiene practices prevent diarrhea were 17.9% and 33.3% respectively (Table 5). 43 Table 5: Assessment of knowledge of food hygiene Response Number (n=285 (%)) Poor hygiene causes cross contamination Strongly agree 101(35.4) Agree 49(17.2) Neutral 44(15.4) Disagree 46(16.1) Strongly disagree 45(15.8) Good hygiene practices prevent diarrhea Strongly agree 95(33.3) Agree 51(17.9) Neutral 42(14.7) Disagree 55(19.3) Strongly disagree 42(14.7) Source: Field Data (2022) Table 5 shows the results of the assessment of knowledge on food contamination among the food handlers. Those who agreed the following statements; “When hands are cleansed before beginning work, the risk of food contamination is reduced”, “Preparing meals ahead of time lowers the likelihood of infection” and “When people eat and drink at their desks, the risk of food contamination rises” were 49.8%, 46.7% and 52.3% respectively. Asked if pregnant women who get a foodborne illness are more likely to have an abortion and that when one has a skin problem, it is vital to take time off from work 49.1% and 52.3% responded in the affirmative. 44 Table 6: Assessment of knowledge on food contamination Characteristic Response (n (%)) Agree Uncertain Disagree When hands are cleansed before beginning work, the risk of food contamination is reduced. 142 (49.8) 70(24.6) 73(25.6) Preparing meals ahead of time lowers the likelihood of infection. 133 (46.7) 76(26.7) 76(26.7) When people eat and drink at their desks, the risk of food contamination rises. 149(52.3) 72(25.3) 64(22.5) Pregnant women who get a foodborne illness are more likely to have an abortion. 140(49.1) 68(23.9) 77(27.0) When you have a skin problem, it is vital to take time off from work. 149(52.3) 62(21.8) 74(26.0) Source: Field Data (2022) A summation of the scores derived from the nineteen knowledge assessment items revealed that the minimum and maximum scores were four and fifteen respectively. The mean ± sd score was 9.2 ± 1.77. Further analysis of the knowledge scores indicated that the respondents who were deemed to be highly knowledgeable on food hygiene and safety practices were 44.2% (95% confidence interval (CI): 38.6% - 50.0%). The majority were classified as having low knowledge on food hygiene and safety practices (55.8%, 95% CI: 50.0 - 61.4%) as shown in Table 7. Table 7: Level of knowledge on food hygiene and safety practices Knowledge level Frequency (n=285(%) ) 95% Confidence interval Lower Upper Low (<50%) 159(55.8) 50.0 61.4 High (≥50%) 126(44.2) 38.6 50.0 Source: Field Data (2022) 45 Data from KII indicated that lack of skills and knowledge of handling food safely is a major reason for inadequate food safety measures. “In my opinion, the cause of incorrect food handling is due to a lack of understanding regarding what is considered safe and unsafe. When there is a shortage of knowledge and information, individuals may resort to relying on their own common sense and natural instincts. Unfortunately, this approach can lead to improper food handling practices and mistakes. …” (KII 5, Male, 38 years) 4.5 Food handling practices Table 8 presents the findings of the self-reported assessment of assorted food handling practices among the interviewed food handlers. Those who reported that they had a valid medical examination certificate, washed hands with soap and water before handling food, and always donned gloves and hairnets when handling food were the majority (62.8%, 67.4%, and 63.2% respectively). Half of the respondents refuted undertaking the following; Chewing/smoking while working, working when having a cold and handling food when having diarrhoea (34.7%, 34.0% and 35.1% respectively). Most of the respondents mentioned that they adhered to the following food handling practices; cleaning food contact surfaces before and after preparing food (70.9%), checking the expiry dates/shelf life of food (65.3%), boiling or treating water before serving the customers (71.9%) and drying hands, after washing them, with a towel (70.2%). 46 Table 8: Food handling practices Practice Response (n (%)) Yes No Valid medical examination certificate 179(62.8) 106(37.2) Washes hands with soap and water before handling food 192(67.4) 93(32.6) Wears gloves and hairnets when handling food 180(63.2) 105(36.8) Chews/smokes while working 186(65.3) 99(34.7) Works when having a cold 188(66.0) 97(34.0) Handles food when having diarrhea 185(64.9) 100(35.1) Cleans food contact surfaces before and after preparing food 202(70.9) 83(29.1) Checks the expiry dates/shelf life of food 186(65.3) 99(34.7) Boils or treats water before serving the customers 205(71.9) 80(28.1) Dries hands after washing them with a towel 200(70.2) 85(29.8) Source: Field Data (2022) According to the participants in the focus group discussion, certain food safety measures cannot be put into practice due to a variety of limitations, such as time constraints and, most importantly, the absence of necessary resources like running water, freezers, and refrigerators. Despite having the correct understanding and awareness of the dangers of foodborne pathogens, they are also hampered by time constraints.. “The issue at hand is the absence of piped or running water, which is a prevalent problem in this region, not just specific to me. While acknowledging the hygienic and convenient benefits of having running water, there are no such facilities available in the vicinity, and the residents are accustomed to washing themselves in a basin.…” (FGD 1). The qualitative survey data indicated that pursuing quality of life affected risk perception and the adoption of measures to curb food-borne pathogens. Individuals who have a greater awareness and concern for their personal hygiene and health, as well as a desire for tasty food, were found to be more likely to practice safe food handling. 47 “Some individuals prioritize hygiene and take precautions such as washing their hands while cooking, while others may not consider it as important.. … (FGD 6) It is important to prioritize hygiene to avoid getting sick from stomach problems or food poisoning. Neglecting hygiene can be harmful, so it is necessary to take it seriously. …” (KII 7, Female, 42 years). Analysis of qualitative interview data showed that not adopting recommended food hygiene and safety standards was related to personality, including personal handling habits, laziness and past experiences. “Don't bother with safe operations, hygiene, or cleanliness, and I don't even consider the risks of foodborne illnesses or food safety. However, it is essential to make safe behaviour a habit. If you believe a habit is safe, you can continue doing it. I feel lazy and can't do everything for safety, or I will become too tired.…. “(FGD 8, Female 28 years) In the local culture, being sparing, or frugal is emphasized and praised. Further, the frugal culture also moderates the paths from food safety knowledge to behaviors and practices. “Despite being aware of the need to discard leftovers, I tend to keep them instead. This is because I feel it's wasteful to throw away food and money, and I would rather save and increase my earnings. ….”( FGD 6,Male 44 years) Additionally, many participants were highly pessimistic about the state of food safety; as a result, they either felt helpless or thought that adopting the recommended standards of food safety, maintaining hygiene and cleanliness would be rather costly and time- consuming. “Proper food handling measures can be expensive to implement, and the monetary benefits may not be immediately apparent, making it seem like they don't exist. This 48 can make your business less competitive as the cost of food may be too high. …” (FGD 3,Male 34 years) 4.6 Biviriate analysis on assessment of the association between sociodemographic characteristics and prevalence of foodborne pathogens. Table 9 shows the outcomes of the evaluation of sociodemographic characteristics of food handlers associated with foodborne pathogens. The mean ± standard error (SE) age of the group that was found infected with at least one foodborne pathogen was 41.2 ± 1.77 years. The average age of the healthy volunteers was 39.8 0.75 years (mean SE). The age difference between the groups was not statistically significant (p=0.861). When the age of infected and uninfected food workers was a factor in the study, no significant differences were found. These findings agreed with a study conducted in the USA which found no association between age and having a foodborne pathogen Stratev et al., (2017). This could be attributed to age being reported in an aggregate manner whereby interaction between the two variables i.e age and presence of foodborne pathogens could not be meaningfully assessed. However, another study conducted in Bulgaria was contrary to the study findings as the study reported that older food handlers were more likely to report having a foodborne disease as compared to their fellow counterparts Strassle et al., (2019). As indicated in table 9, male food handlers were 2 times less likely to be positive for foodborne pathogens as compared to their fellow counterparts who were females(odds ratio (COR) 2 (95% CI 0.234-0.916, p=0.031). According to a study of food handlers in Bahir Dar town, northwest Ethiopia, males were found to be four times more likely than females to get a foodborne disease Derso et al., (2017). This could be attributed to males being less likely to observe hygiene practices during food preparation, handling, and cooking thus increasing their exposure to foodborne diseases. These findings were 49 contrary to a study done in the USA which revealed that female partners were more likely to be involved in foodborne diseases. Sex distribution has predicted that women are more likely to engage in food preparation and cooking hence increased vulnerability to foodborne illnesses Strassle et al., (2019). Furthermore, owing to the difficulties of cleaning among female food workers, untrimmed fingernails may serve as a channel for the passage of intestinal parasites or enteric germs from source to food. In another two studies conducted in India and Nepal, they found no association between gender and having a food-borne pathogen Gautam et al., 2019; Sharma et al., (2022). From the present study, training on food safety reduced the odds of having a foodborne disease by 3 times as compared to lack of training on food safety(odds ratio (COR)3 (95% CI 0.234-0.916, p=0.031). A study of food handlers in hospitals and hotels found that those who had received formal training in food safety were much less l