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Abstract
Background
Cases of coronavirus disease (COVID-19) are increasing at an alarming rate throughout the world, including Ethiopia. Food handlers in food and drink establishments are at high risk of exposure to the virus due to their many daily contacts with customers. Since there is a paucity of evidence about infection prevention practices and associated factors among this high-risk group in Ethiopia including in Dessie City and Kombolcha Town, this study was designed to address this gap.
Method
An institution-based cross-sectional study was conducted among 422 food handlers in Dessie City and Kombolcha Town food and drink establishments in July and August 2020. The study participants were selected using a simple random sampling technique. Data were collected by trained data collectors using a pretested structured questionnaire and an on-the-spot observational checklist. Data were entered into EpiData version 4.6 and exported to STATA version 14.0 for data cleaning and analysis. Data were analyzed using bivariable and multivariable logistic regression model at 95% confidence interval (CI). From the bivariable analysis, variables with a p-value <0.25 were retained into multivariable analysis. Finally, variables that had a p-value <0.05 were declared as factors significantly associated with good infection prevention practices of COVID-19 among food handlers.
Main findings
The overall rate of good practice in infection prevention among food handlers was 43.9% (95% CI: 39.2–48.4%). Among the total 401 food handlers, 79.8% had good knowledge and 58.4% had a favorable attitude about COVID-19 infection prevention. Factors significantly associated with good COVID-19 infection prevention practices were: educational status of college or above (AOR = 1.97; 95% CI: 1.32–3.75), food handling work experience greater than five years (AOR = 2.55; 95% CI: 1.43–5.77), availability of written guidelines within the food and drink establishment (AOR = 2.68; 95% CI: 1.52–4.75), and taking training about infection prevention (AOR = 3.26; 95% CI: 1.61–6.61).
Conclusion
Our findings showed that around one-third of food handlers had good infection prevention practices. Thus, to reduce COVID-19 transmission, integrated work is urgently needed to further improve food handlers’ good practices, knowledge and attitude about infection prevention through providing health education, training and by making written infection prevention guidelines available in food and drink establishments.
Citation: Andualem A, Tegegne B, Ademe S, Natnael T, Berihun G, Abebe M, et al. (2022) COVID-19 infection prevention practices among a sample of food handlers of food and drink establishments in Ethiopia. PLoS ONE 17(1): e0259851. https://doi.org/10.1371/journal.pone.0259851
Editor: Ammal Mokhtar Metwally, National Research Centre of Egypt, EGYPT
Received: April 14, 2021; Accepted: October 25, 2021; Published: January 24, 2022
Copyright: © 2022 Andualem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: Wollo University funded this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; COVID, corona virus disease; PPE, personal protective equipment; WHO, World Health Organization
Introduction
Around the world, coronavirus disease (COVID-19) is the most overwhelming problem of the first part of the 21st century. Caused by severe acute respiratory syndrome, coronavirus 2 (SARS-CoV-2) was first reported in Wuhan, China in December 2019 and then rapidly spread throughout countries and territories outside of China [1, 2]. COVID-19 results in morbidity and mortality ranging from mild respiratory illness to severe acute respiratory distress syndrome, septic shock and other metabolic and homeostasis disorders and death [3]. Even though COVID-19 affects the whole population, the most frequent occurrence of fatal acute respiratory distress syndrome (ARDS) has been in older adults and people who have existing chronic medical conditions such as diabetes, cancer, hypertension and diseases of the heart, lung and kidneys [4–6]. COVID-19 exacerbates the existing social, political, religious and socio-economic crises in the whole population [7, 8].
According to a World Health Organization (WHO) report, 30.6 million COVID-19 cases with 950,000 deaths worldwide had been recorded by September 20, 2020. On that date, Africa accounted for 1,145,397 COVID-19 cases with 24,757 deaths, while in Ethiopia the number of COVID-19 cases reached 68,131 and confirmed deaths reached 1,089 [9].
SARS-CoV-2 appears to be transmitted from person to person through direct contact with respiratory droplets, saliva, discharge from the nose when the infected person coughs or sneezes, or indirectly through contaminated objects and surfaces as previously seen in SARS-CoV and MERS-CoV, the two other zoonotic coronaviruses [10, 11]. Implementation of stringent infection prevention measures is the most effective way to reduce the spread of the COVID-19 [11]. WHO has strongly recommended that community members, especially those working in crowded areas such as food and drink establishments, cover their noses and mouths with a tissue or elbow when coughing and sneezing, wear a mask, keep social distancing, wash their hands with soap or use appropriate alcohol-based hand rub and use appropriate personal protective equipment (PPE), all of which are simple and low-cost protective procedures against COVID-19 transmission as compared to the serious impact of dealing with this disease [12, 13].
Many factors can affect food handlers’ practice of coronavirus infection prevention strategies, such as availability of supplies, knowledge, attitude, training and socio-demographic characteristics. Hence, to overcome the problem of COVID-19, all food workers should follow physical distancing guidance of at least 2 meters (6 feet), wear a face mask and clean all surfaces with which employees and customers come into contact [14].
Failure to follow proper infection prevention strategies puts communities at risk. According to existing reports, despite the increment of COVID-19 prevalence in many developed and developing countries, the practice of infection prevention strategies among community members is not well studied [15]. Eastern Amhara, which includes the urban areas of Dessie City and Kombolcha Town, is one of the hotspot areas for COVID-19 due to the nearby road running from Djibouti to Afar to Batti City to Kombolcha Town and then to Dessie City. Residents and travellers in Dessie City and Kombolcha Town use food and drink establishments together, increasing the transmission of COVID-19. Therefore, this study was designed to assess COVID-19 infection prevention practices and associated factors among food handlers in Dessie City and Kombolcha Town food and drink establishments, aiming to provide key information to guide policy makers about the problem while they are designing intervention guidelines to improve COVID-19 infection prevention practices.
Methods and materials
Study area description
The study was carried out in Dessie City and Kombolcha Town, both found in South Wollo Zone, one of the 13 zones within the Amhara Regional State, Ethiopia. Dessie City and Kombolcha Town are located 401 km and 377 km from Addis Ababa with an average elevation of 2510 m and 1857 m above sea level, respectively. The 2007 national census conducted by the Central Statistical Agency) [16] of Ethiopia reported that Dessie City had a total population of 151,174, of which 72,932 were male and 78,242 were female, whereas Kombolcha Town had 126,144 total population, 60,226 male and 65,918 female. According to a 2020 Ethiopia Ministry of Urban Development and Construction report, there were 73 manufacturing companies, 400 service trades, six fuel stations, nine banks and one microfinance organization in Dessie City. Kombolcha Town had 3 manufacturing companies, 45 wholesale and 1,780 retail trades, 21 garages, 6 fuel stations, three banks and two microfinance organizations.
Study design, period and population
An institution-based cross-sectional study was conducted in July and August 2020 among food handlers in food and drink establishments in Dessie City and Kombolcha Town. The study population was food handlers among the selected food and drink establishments. Food and drink establishments that had no eligible food handlers during the data collection period were excluded.
Sample size determination and sampling techniques
The sample size was determined using a single population proportion formula with the assumptions of expected good COVID-19 infection prevention practices among food handlers of 50% due to the absence of previous studies in a similar setting, Zα/2 value 1.96 at 95% confidence interval (CI) and 5% margin of error. After considering a 10% non-response rate from the calculated sample size of 384, the final sample size was 422.
The total sample size was proportionally allocated based on the total of 349 and 204 food and drink establishments (including hotels, restaurants, bars/restaurants, cafeterias and butcher houses) in Dessie City and Kombolcha Town, respectively. For each town, the proportionate number of study subjects was determined using, n = nf/N *ni where, ni = number of food and drink establishments in each town, nf = total sample size, N = total number of food and drink establishments in Dessie City and Kombolcha Town all together. Therefore, the numbers of food and drink establishments in the two towns by proportional allocation were 266 from Dessie City and 156 from Kombolcha Town.
The sampling units were food and drink establishments that had at least one food handler whose age was 18 years or above. The sampling frame and source population were prepared by creating a list of food and drink establishments that had at least one food handler, aged 18 years or above. Then, those eligible food and drink establishments were coded to easily differentiate them during establishment-to-establishment visits at the time of data collection. Using the sampling frame, a systematic random sampling with a fixed interval of ‘K’ was used to get the next food and drink establishment within each town. To select the food and drink establishment paired with one eligible study participant, the data collector started with a bench mark of the known location and then walked straight forward to identify each food and drink establishment.
Further, when more than one eligible study participant was present in a selected food and drink establishment, a lottery method was used to select one study participant to estimate the proportion of good or poor practices of infection prevention among the study participants relative to the total sample size. To minimize the non-response rate, if one eligible study participant was not available from a selected food and drink establishment, a second visit was made the same day. If they were again not available, another visit was made the next day. If not available after the third visit, that participant was taken as non-respondent.
Measurement of the outcome variable
The outcome variable of this study was the good or poor practices of COVID-19 infection prevention among food handlers. Nine yes/no questions, one observational checklist and five multiple choice infection prevention practices questions were asked with a minimum score of 1 and maximum score of 25. Good infection prevention practice (the variable of interest) was determined for food handlers who scored 75% or above, whereas poor infection prevention practices refers to those food handlers who scored below 75% on the practice questions [17].
Operational definitions
Infection prevention is a scientific approach and practical solution designed to place barriers between a susceptible host and the microorganism [18].
COVID-19 is a disease caused by SARS-CoV-2, a new member of a large family of transmissible viruses [19].
Food handlers are any persons who directly handle packaged or unpackaged food, food equipment and utensils, or food contact surfaces and are therefore expected to comply with food hygiene requirements [20].
Food and drink establishments are institutions that provide food and drink services to a relatively large number of users [20], which in this study included hotels, restaurants, bars/restaurants, cafeterias and butcher houses.
Good knowledge about COVID-19 infection prevention practices refers to study participants who correctly answered more than or equal to 70% of knowledge questions [21].
Poor knowledge about COVID-19 infection prevention practices refers to study participants who correctly answered less than 70% of knowledge questions [21].
Favorable attitude towards COVID-19 infection prevention practices refers to study participants who scored greater than or equal to the mean score on attitude questions [22].
Unfavorable attitude towards COVID-19 infection prevention practices refers to study participants who scored less than the mean score on attitude questions [22].
Data collection and quality control
Data were collected using a structured, pre-tested questionnaire and an on-the-spot observational checklist. The questionnaire and observational checklist were adapted from a variety of reviewed literature, such as WHO and EMOH guidelines about COVID-19 infection prevention [7, 13, 23, 24]. The prepared English version of the questionnaire (S1 Questionnaires) was translated to Amharic (S2 Questionnaires), which is a local language, and then retranslated back to English by bilingual experts to ensure its consistency.
Independent variables were socio-demographic characteristics, availability of supplies (10 items on observational checklist and 9 interview questions), knowledge about and attitude towards COVID-19 infection prevention practices. Eleven yes/no questions were used to assess food handlers’ knowledge, with the minimum and maximum scores being 2 and 11, respectively, and the mean score 9.33 (SD [standard deviation]: ±1.97). In order to determine food handlers’ attitude regarding COVID-19 infection prevention practices, nine attitude statements were given with the value of each option being strongly disagree 1, disagree 2, neutral 3, agree 4 and strongly agree 5. The minimum and maximum scores were 9 and 36, respectively, with a mean score of 27.59 and SD of ±3.81.
Four data collectors and two supervisors were recruited who were BSc. nurses and environmental health professionals, respectively. All data collectors and supervisors had previous experience of COVID-19 data collection and supervision activities in a similar setting. Two days of training were given to data collectors and supervisors by the principal investigator with respect to the aim of the study, data collection procedures, contents of the structured questionnaire and observational checklist, including how to record data, how to keep social distance and wear a mask during an interview and the ethical aspects of approaching the participants. Data collectors kept a social distance of at least 2 meters, wore masks and approached the participants politely and respectfully at the time of the interview. The supervisors monitored the data collection process daily; if a problem arose data collectors tried to solve it or they contacted the principal investigator by mobile or in person.
To assure the data quality, the questionnaire and observational checklist were pre-tested among a number of food handlers 10% of the sample size at Haike Town food and drink establishments, an area not included in this study. Based on the pre-test result, amendments of unclear and vague questions were made. Using the pre-test result, internal reliability was checked, which gave Cronbach’s Alpha value of 0.920, 0.729 and 0.813 for practices, knowledge and attitude questions, respectively. Content validity of the instrument was evaluated by one senior environmental health professional and one nursing educator. Each questionnaire and observational checklist was checked daily for completeness; any incomplete questionnaire or checklist was corrected the same day by visiting the food and drink establishments again.
Data management and analysis
The collected data were coded and entered into EpiData version 4.6 and exported to STATA version 14.0 for data cleaning and analysis. Means with standard deviation (SD) were reported for continuous variables and frequencies with proportion were computed for categorical variables.
Data were analyzed using a binary logistic regression model at 95% confidence interval and variables with p-value< 0.25 during the bivariable analysis were entered into a multivariable logistic regression analysis to control confounding variables. Adjusted odds ratio (AOR) with 95% CI was calculated to determine the strength of association; variables with a p-value less than 0.05 were declared as statistically significant. The Hosmer-Lemeshow test (p-value = 0.910) showed the model was fitted. Multicollinearity was tested using the Variance Inflation Factor (VIF) and tolerance test. Since VIF = 1.516, which is less than 5, and tolerance value = 0.667, which is greater than 0.2, it showed that there was no multicollinearity.
Ethical considerations
Ethical clearance was obtained from the ethical review committee of Wollo University, College of Medicine and Health Sciences (Protocol number: CMHS/451/013/2020). After a request for cooperation from the health bureau of Dessie City and Kombolcha Town, permission was obtained to conduct the study. Written consent was obtained from study subjects prior to data collection. Data collectors wore facemasks to prevent COVID-19 transmission to or from food handlers. Furthermore, social distancing was maintained between data collectors and food handlers based on WHO recommended guidelines. Participants were informed of the objective of the study and assured that confidentiality would be kept. Data collection was conducted anonymously.
Results
Socio-demographic characteristics of participants
In this study, out of the total 422 eligible food handlers, 401participated, giving a response rate of 95%. Two hundred seventeen (54.1%) of the participants were female. More than one-third (41.9%) of food handlers were married, whereas just over half (51.1%) were single. The age of study participants ranged from 18 to 65 years with a median age of 26 years (IQR [interquartile range] = 23–32) and 273 (68.1%) under age 30. About 207 (51.7%) food handlers were waiters in the food and drink establishments. Nearly half (49.4%) of food and drink establishments had 5–10 food handlers and 181 (45.2%) food handlers had a monthly income of $27–$54 US (Table 1).
Availability of supplies
Our results showed that about 96 (23.9%) of the food and drink establishments had written COVID-19 prevention guidelines, 43 (10.7%) had a COVID-19 infection prevention focal person, 166 (41.4%) had a specific budget for PPE and 222 (55.4%) had personal protective equipment against COVID-19 for their workers. The majority 362 (90.3%) of food and drink establishments had arranged COVID-19 infection prevention training for food handlers (Table 2).
Knowledge about COVID-19 infection prevention strategies
To determine the level of food handlers’ knowledge about COVID-19 infection prevention strategies, 11 questions that had yes/no alternatives were asked in the interviews. Our results showed that around three-fourths (79.8%) (95% CI: 75.183.3%) of food handlers had good knowledge about infection prevention (Table 3). The majority of food handlers 371 (92.5%) knew that all people are at risk of COVID-19 including themselves. Almost as many 358 (89.3%) food handlers knew that touching the nose, mouth and eyes is not recommended even if gloves are worn when giving service. Three hundred seventy-eight (94.3%) food handlers knew that washing hands frequently with water and soap and applying sanitizer would physically remove, inhibit or kill the coronavirus. Three hundred seventy-five (92.8%) food handlers knew the importance of social distance and 371 (92.5%) wore PPE at work (Table 4).
Attitude towards COVID-19 infection prevention practices
Our findings showed that 234 (58.4%) (95% CI: 53.6–63.6%) food handlers had a favorable attitude about infection prevention practices (Table 3). More than three-quarters (79.3%) of study participants agreed that washing hands with soap or an alcohol-based antiseptic decreases the risk of transmission of COVID-19 while only 17 (4.2%) respondents strongly disagreed. Regarding social distancing, 303 (75.6%) food handlers agreed it was an important way to reduce the transmission of the coronavirus (Table 5).
Food handlers’ COVID-19 infection prevention practices
We found that 176 (43.9%) (95% CI: 39.2–48.4%) food handlers had good COVID-19 infection prevention practices. Among all respondents, 365 (91.0%) reported that they washed their hands regularly; of this group 131 (35.9%) demonstrated practical handwashing techniques perfectly. Among the remaining 36 (9.0%) respondents who did not wash their hands regularly, the unavailability of handwashing materials was the important reason. Three hundred eighty-nine (97%) food handlers reported that when they sneezed, they covered their nose and mouth with an elbow. Around 365 (91.0%) food handlers wore PPE, while the remaining 36 (9.0%) respondents did not wear PPE. Among the 36 (9.0%) food handlers who did not wear PPE, 10 (27.8%) thought that wearing PPE was not always necessary to prevent COVID-19. Masks were worn by 351 (87.8%) food handlers (Table 6).
Bivariable and multivariable logistic regression analysis
From the bivariable analysis; age, educational status, years of experience, availability of COVID-19 prevention guidelines, availability of COVID-19 infection prevention focal person, availability of specific budget for COVID-19 infection prevention, availability of PPE in food and drink establishments, ever having taken COVID-19 infection prevention training and attitude toward COVID-19 infection prevention had a p-value <0.25 and were retained into the multivariable analysis.
From the multivariable analysis, respondents who had an educational status of college or above were almost twice as likely to have good practices than those who were unable to read and write (AOR = 1.97; 95% CI:1.32–3.75). Food handlers who had work experience of greater than 5 years were almost 2.55 times (AOR = 2.55; CI: 1.43–5.77) more likely to have good COVID-19 infection prevention practices than those who had 5 or fewer years’ experience of handling food. Those food handlers who had written COVID-19 prevention guidelines in their workplace were almost 2.68 times more likely to practice COVID-19 infection prevention strategies than those who did not (AOR = 2.68; 95% CI: 1.52–4.75). Food handlers who had taken COVID-19 infection prevention training were almost 3.26 times more likely to have good COVID-19 infection prevention practices than those who had not taken such training (AOR = 3.26; 95% CI: 1.61–6.61) (Table 7).
Discussion
We conducted a cross-sectional study in Northeastern Ethiopia to assess the level of COVID-19 infection prevention practices among food handlers in Dessie City and Kombolcha Town food and drink establishments. Out of 401 food handlers, around three-fourths had good knowledge about COVID-19 infection prevention strategy practices. Regarding the attitude of food handlers about COVID-19 infection prevention strategy practices, 58.4% had a favorable attitude. We found that educational status, years of experience, availability of COVID-19 infection prevention guidelines and ever having taken COVID-19 infection prevention training had a statistically significant association with the food handlers’ practices of COVID-19 infection prevention strategies.
In this study, 43.9% of food handlers had good COVID-19 infection prevention practices. Our study finding was consistent with those of previous studies in Addis Zemen, Ethiopia (47.3%) [6] and Bangladesh (44.8%) [25]. This finding was lower than reported by studies in Amhara region (62%) [17], Uganda (74%) [26], China (89.7%) [27] and Pakistan (88.7%) [28]. The possible reasons for this discrepancy might include the difference in conduciveness to good practices of food handlers’ working environment, availability of managerial support and educational level of study participants [17], difference in socio-demographic and environmental factors [26], difference in culture and socio economic status of respondents [27, 28]. On the other hand, the current study finding was higher than reported by studies conducted in Bale Zone, Ethiopia (36.8%) [29] and the Philippines (32.4%) [30]. The probable reasons for our higher finding are the differences in study participants where our study focused on food handlers, sample size and study period [29] and differences in socio-cultural practices, in the tool used for assessment of COVID-19 infection prevention practices, health policy and strategies to prevent COVID-19 in the two study localities and environmental factors [30].
Though the execution was questionable, most of the food handlers tried to follow Ethiopia’s Ministry of Health and WHO infection prevention practices recommendations. These include regular wearing of PPE including a face mask, hand hygiene and social distancing. About 91.0% of food handlers reported wearing PPE, of whom 87.8% wore a face mask. Ninety-one percent and 83.8% of participants reported washing hands regularly and keeping social distance of one meter, respectively. These findings were supported by an Ethiopian study conducted at Jimma University Medical Center [31]. In contrast, a study conducted in Mizan-Aman Ethiopia revealed that about 81.8% of waiters did not wash their hands frequently [32].
The overall rate of good COVID-19 infection prevention knowledge was about 79.8%, in line with an online survey conducted in Ethiopia [33] and studies conducted in Jordan [34] and Nigeria [35]. This finding indicates the importance of enhancing COVID-19 knowledge through various techniques as a factor to improve the preventive strategies against the disease. Food handlers need to be encouraged to improve their attitude towards COVID-19 infection prevention. The current study’s finding with respect to attitude is similar to that found in studies conducted in northern Ethiopia [36] and China [37].
This study identified factors significantly associated with COVID-19 infection prevention practices. Higher educational status was significantly associated with good practices of infection prevention among food handlers. This finding was supported by studies conducted in Addis Zemen, Ethiopia [6], Mizan-Aman, Ethiopia [32], Uganda [26], Iran [38] and China [39]. The probable reasons for this finding are that educated food handlers may have good understanding, perception, knowledge and skill with respect to COVID-19 infection prevention measures; also they may easily access the recommendations of health care professionals about COVID-19 preventive measures.
Having long work experience was associated with good COVID-19 infection prevention practices among food handlers. This finding was supported by studies in Pakistan [28] and China [27]. The possible explanation is a difference in the understanding of the importance of COVID-19 infection prevention between inexperienced and more senior food handlers. As food handlers’ work experience increases over time and they face challenges due to the impacts of poor infection prevention practices, their attitude about the benefit of infection prevention implementation improves. It is also possible that as workers’ food handling skills increase, they find it easier to remember and perform the extra tasks required for infection prevention even when they are busy.
Availability of written COVID-19 guidelines increased good COVID-19 infection prevention practices. This finding was similar to that of studies in the Amhara region [17] and South Africa [40]. This could be because standardized COVID-19 prevention guidelines are used as the source of information about how to practices infection prevention strategies that reduce its transmission. Also, food handlers may become alarmed when they see COVID-19 prevention guidelines in the catering area and be motivated to become familiar with them.
The main purpose of COVID-19 infection prevention training was to demonstrate food and drink establishments’ commitment to the well-being of customers and staff. In this study, food handlers who had taken COVID-19 infection prevention training were more likely to have good COVID-19 infection prevention practices than those who had not taken it. This result was supported by studies conducted in the Amhara region [17], Uganda [26] and China [41]. This might be because training can impact knowledge about the COVID-19, equip food handlers with information about COVID-19 infection prevention precautions and update or enhance skills in how to use PPE and implement infection prevention guidelines.
A weakness of our study may be that of social desirability bias during self-reporting; however, we tried to control social desirability bias by the employment of proxy (representative) data. Furthermore, the level of accuracy of the measuring instrument was revised after pre-testing the data collection tools. The findings of this study may not represent the situation at the national level, as the study was conducted only in Dessie City and Kombolcha Town food and drink establishments.
Conclusion
This study revealed that more than one-third of food handlers had good infection prevention practices. Our results also showed that around three-fourths and more than half of food handlers had good knowledge and a favorable attitude about infection prevention, respectively. Factors significantly associated with good infection prevention practices included higher educational status, more years of experience, availability of WASH infection prevention guidelines and training. Due to the urgent need to control transmission of COVID-19, we recommend that integrated work be done to improve rates of good practices, knowledge and attitude about infection prevention among food handlers through providing these workers with health education and training. We also recommend that more studies be conducted on a larger scale, especially at regional and national levels.
Supporting information
S1 Questionnaires. English version of the questionnaires for COVID-19 infection prevention practices among food handlers in food and drink establishments of Dessie City and Kombolcha Town, Northeastern Ethiopia.
https://doi.org/10.1371/journal.pone.0259851.s001
(DOCX)
S2 Questionnaires. Amharic (local language) version of the questionnaires for COVID-19 infection prevention practices among food handlers in food and drink establishments of Dessie City and Kombolcha Town, Northeastern Ethiopia.
https://doi.org/10.1371/journal.pone.0259851.s002
(DOCX)
S1 Dataset. Raw data for COVID-19 infection prevention practices among food handlers in food and drink establishments of Dessie City and Kombolcha Town, Northeastern Ethiopia.
https://doi.org/10.1371/journal.pone.0259851.s003
(XLSX)
Acknowledgments
We thank Dessie City and Kombolcha Town Health Bureaus for the support we received during data collection. Our gratitude also goes to Dessie City and Kombolcha Town Culture and Tourism offices for providing the necessary data during the proposal development and data collection period. We also greatly appreciate the owners of Dessie City and Kombolcha Town food and drink establishments for their support and the information they provided when we needed it. We also extend our gratitude to food handlers, data collectors and supervisors for their valuable time and cooperation during the study. Last but not the least, we also thank the first English language speaker and Lisa Penttila for language editing of the manuscript.
References
- 1. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497–506. Epub 2020 Jan 24. Erratum in: Lancet. 2020 Jan 30;: pmid:31986264; PMCID: PMC7159299.
- 2.
World Health Organization. Coronavirus disease 2019 (COVID-19): Situation report, 70. World Health Organization. 2020. Available on: https://apps.who.int/iris/handle/10665/331683.
- 3.
World Health Organization. Infection prevention and control guidance for long-term care facilities in the context of COVID-19: Interim guidance, World Health Organization. 21 March 2020. https://apps.who.int/iris/handle/10665/331508.
- 4. Wu J, Mafham M, Mamas MA, et al. Place and Underlying Cause of Death During the COVID-19 Pandemic: Retrospective Cohort Study of 3.5 Million Deaths in England and Wales, 2014 to 2020. Mayo Clin Proc. 2021 Apr;96(4):952–963. Epub 2021 Feb 16. pmid:33714592; PMCID: PMC7885692.
- 5. Wu C, Chen X, Cai Y, et al. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020 Jul 1;180(7):934–943. Erratum in: JAMA Intern Med. 2020 Jul 1;180(7):1031. pmid:32167524; PMCID: PMC7070509.
- 6. Akalu Y, Ayelign B, Molla MD. Knowledge, Attitude and Practice Towards COVID-19 Among Chronic Disease Patients at Addis Zemen Hospital, Northwest Ethiopia. Infect Drug Resist. 2020 Jun 24;13:1949–1960. pmid:32612371; PMCID: PMC7322118.
- 7. Walker PGT, Whittaker C, Watson OJ, et al. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science. 2020 Jul 24;369(6502):413–422. Epub 2020 Jun 12. pmid:32532802; PMCID: PMC7292504.
- 8. Tsai J, Wilson M. COVID-19: a potential public health problem for homeless populations. Lancet Public Health. 2020 Apr;5(4):e186–e187. Epub 2020 Mar 11. pmid:32171054; PMCID: PMC7104053.
- 9.
World Health Organization. Coronavirus disease ( COVID-19). 2020. Available on: www.who.int/emergencies/diseases/novel-coronavirus-2019.
- 10. Verdery AM, Smith-Greenaway E, Margolis R, Daw J. Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States. Proc Natl Acad Sci U S A. 2020 Jul 28;117(30):17695–17701. Epub 2020 Jul 10. pmid:32651279; PMCID: PMC7395491.
- 11. Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun. 2020 May;109:102433. Epub 2020 Feb 26. pmid:32113704; PMCID: PMC7127067.
- 12.
World Health Organization. Rational use of personal protective equipment for coronavirus disease (COVID-19): interim guidance, World Health Organization. 27 February 2020. Available on: https://apps.who.int/iris/handle/10665/331215.
- 13.
World Health Organization. Infection prevention and control during health care when novel coronavirus (nCoV) infection is suspected: interim guidance, World Health Organization. 25 January 2020. Available on: https://apps.who.int/iris/handle/10665/330674.
- 14.
COVID W. and Food Safety: Guidance for food businesses: Interim guidance. Geneva: WHO. 2020. Available on: https://www.who.int/publications-detail/covid-19-and-food-safety-guidance-for-food-businesses.
- 15. Allegranzi B, Bagheri Nejad S, Combescure C, et al. Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet. 2011 Jan 15;377(9761):228–41. Epub 2010 Dec 9. pmid:21146207.
- 16.
CSACE I. Central Statistical Agency (CSA)[Ethiopia] and ICF. Ethiopia Demographic and Health Survey 2016. Addis Ababa, Ethiopia, and Rockville, Maryland, USA: CSA and ICF; 2016. Available on: www.unicef.org/ethiopia/media/456/file/EDHS%202016.
- 17. Asemahagn MA. Factors determining the knowledge and prevention practice of healthcare workers towards COVID-19 in Amhara region, Ethiopia: a cross-sectional survey. Trop Med Health. 2020 Aug 20;48:72. pmid:32839649; PMCID: PMC7438679.
- 18.
World Health Organization. Improving infection prevention and control at the health facility: interim practical manual supporting implementation of the WHO Guidelines on Core Components of Infection Prevention and Control Programmes. In.: World Health Organization; 2018. Available on: www.who.int/publications-detail-redirect/WHO-HIS-SDS-2018.10.
- 19. Sohrabi C, Alsafi Z, O’Neill N, et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int J Surg. 2020 Apr;76:71–76. Epub 2020 Feb 26. Erratum in: Int J Surg. 2020 May;77:217. pmid:32112977; PMCID: PMC7105032.
- 20. Meleko A, Henok A, Tefera W, Lamaro T. Assessment of the sanitary conditions of catering establishments and food safety knowledge and practices of food handlers in Addis Ababa University Students’ Cafeteria. Science 2015, 3(5):733–743.
- 21. Huynh G, Nguyen TNH, Vo KN, Pham LA: Knowledge and attitude toward COVID-19 among healthcare workers at District 2 Hospital, Ho Chi Minh City. Asian Pacific Journal of Tropical Medicine 2020, 13(6):260.
- 22.
Ahmad N, Ahmad W, Arman R, Rahimi W, Ahmadi A, Vijay Raghavan S: Community Perception Survey—COVID 19 Knowledge. Attitude and Practice Survey in Kabul, Kunduz and Khost Province the JOHANNITER international assistance, JACK, OHW 2020.
- 23. Sahiledengle B, Gebresilassie A, Getahun T, Hiko D. Infection Prevention Practices and Associated Factors among Healthcare Workers in Governmental Healthcare Facilities in Addis Ababa. Ethiop J Health Sci. 2018 Mar;28(2):177–186. pmid:29983515; PMCID: PMC6016341.
- 24.
Baye K. COVID-19 prevention measures in Ethiopia: Current realities and prospects. ESSP Working Paper 141. Washington, DC; Addis Ababa, Ethiopia: International Food Policy Research Institute (IFPRI); Federal Democratic Republic of Ethiopia Policy Studies Institute. 2020. https://doi.org/10.2499/p15738coll2.133729.
- 25. Paul A, Sikdar D, Hossain MM, et al. Knowledge, attitudes, and practices toward the novel coronavirus among Bangladeshis: Implications for mitigation measures. PLoS ONE. 2020 Sep 2;15(9):e0238492. pmid:32877449; PMCID: PMC7467312.
- 26. Olum R, Chekwech G, Wekha G, Nassozi DR, Bongomin F. Coronavirus Disease-2019: Knowledge, Attitude, and Practices of Health Care Workers at Makerere University Teaching Hospitals, Uganda. Front Public Health. 2020 Apr 30;8:181. pmid:32426320; PMCID: PMC7204940.
- 27. Zhang M, Zhou M, Tang F, et al. Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, China. J Hosp Infect. 2020 Jun;105(2):183–187. Epub 2020 Apr 9. pmid:32278701; PMCID: PMC7194961.
- 28. Saqlain M, Munir MM, Rehman SU, et al. Knowledge, attitude, practice and perceived barriers among healthcare workers regarding COVID-19: a cross-sectional survey from Pakistan. J Hosp Infect. 2020 Jul;105(3):419–423. Epub 2020 May 11. pmid:32437822; PMCID: PMC7211584.
- 29. Zenbaba D, Sahiledengle B, Bogale D. Practices of Healthcare Workers regarding Infection Prevention in Bale Zone Hospitals, Southeast Ethiopia. Advances in Public Health 2020.
- 30. Lau LL, Hung N, Go DJ, et al. Knowledge, attitudes and practices of COVID-19 among income-poor households in the Philippines: A cross-sectional study. J Glob Health. 2020 Jun;10(1):011007. pmid:32566169; PMCID: PMC7294392.
- 31. Kebede Y, Yitayih Y, Birhanu Z, Mekonen S, Ambelu A. Knowledge, perceptions and preventive practices towards COVID-19 early in the outbreak among Jimma university medical center visitors, Southwest Ethiopia. PLoS ONE. 2020 May 21;15(5):e0233744. pmid:32437432; PMCID: PMC7241810.
- 32. Qanche Q, Asefa A, Nigussie T, Hailemariam S, Duguma T. Knowledge of COVID-19 and preventive behaviors among waiters working in food and drinking establishments in Southwest Ethiopia. PLoS ONE. 2021 Jan 25;16(1):e0245753. pmid:33493226; PMCID: PMC7833477.
- 33. Bekele D, Tolossa T, Tsegaye R, Teshome W. The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study. PLoS ONE. 2021 Jan 28;16(1):e0234585. pmid:33507906; PMCID: PMC7843015.
- 34. Olaimat AN, Aolymat I, Shahbaz HM, Holley RA. Knowledge and Information Sources About COVID-19 Among University Students in Jordan: A Cross-Sectional Study. Front Public Health. 2020 May 29;8:254. pmid:32574314; PMCID: PMC7274134.
- 35. Reuben RC, Danladi MMA, Saleh DA, Ejembi PE. Knowledge, Attitudes and Practices Towards COVID-19: An Epidemiological Survey in North-Central Nigeria. J Community Health. 2021 Jun;46(3):457–470. pmid:32638198; PMCID: PMC7338341.
- 36. Tadesse DB, Gebrewahd GT, Demoz GT. Knowledge, attitude, practice and psychological response toward COVID-19 among nurses during the COVID-19 outbreak in northern Ethiopia, 2020. New Microbes New Infect. 2020 Nov;38:100787. Epub 2020 Oct 14. pmid:33072339; PMCID: PMC7556253.
- 37. Ma L, Liu H, Tao Z, Jiang N, Wang S, Jiang X. Knowledge, Beliefs/Attitudes, and Practices of Rural Residents in the Prevention and Control of COVID-19: An Online Questionnaire Survey. Am J Trop Med Hyg. 2020 Dec;103(6):2357–2367. Epub 2020 Oct 27. pmid:33124537; PMCID: PMC7695081.
- 38. Honarvar B, Lankarani KB, Kharmandar A, et al. Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran. Int J Public Health. 2020 Jul;65(6):731–739. Epub 2020 Jun 24. pmid:32583009; PMCID: PMC7311321.
- 39. Zhong BL, Luo W, Li HM, et al. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020 Mar 15;16(10):1745–1752. pmid:32226294; PMCID: PMC7098034.
- 40. Cooper S, Wiyeh A, Schmidt BM, Wiysonge CS. Cochrane corner: factors that influence compliance by healthcare workers with infection prevention and control guidelines for COVID-19 and other respiratory infections. Pan Afr Med J. 2020 May 6;35(Suppl 2):23. pmid:33623548; PMCID: PMC7875751.
- 41. Yu J, Ding N, Chen H, et al. Infection Control against COVID-19 in Departments of Radiology. Acad Radiol. 2020 May;27(5):614–617. Epub 2020 Apr 8. pmid:32276755; PMCID: PMC7141462.