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ABSTRACT: Introduction
Intestinal parasites are amongst the major public health challenges facing Sub-Saharan Africa. The aim of the study was to determine the prevalence of intestinal parasites and its associated factors among food handlers in Medebay Zana District, Tigray, Ethiopia.Methods
A cross-sectional study was conducted among 401 food handler individuals selected by systematic random sampling. Binary and multivariable logistic regression was used to determine the possible association between the independent variable and outcome variables. Statistical significance was declared at p-value ResultThe prevalence of intestinal parasites was 33.2% within this sample. The dominant parasite was Entamoeba coli 50(37.4%), followed by Entamoeba histolytica/dispar 24(18%), Entamoeba hartmanni 18(13.5), Giardia lamblia 17(12.8%), Schistosoma mansoni 8(6%), Hymenolepis nana 7(5.3%), Entervious vermicularies 6(4.5%) and Taenia species 3(2.5%).Conclusion
This study revealed a high prevalence of intestinal parasites among food handlers for a range of intestinal parasites. The significant predictors were the source of water, washing hands before food preparation, washing hands with soap and water after visiting the toilet, shower installation at the workplace, washing the body regularly and eating raw vegetables and raw meat. Hence, local health planners should implement appropriate interventional measures for the novel risk factors to mitigate the problem.
SUBMITTER: Regassa K
PROVIDER: S-EPMC7847587 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Tropical diseases, travel medicine and vaccines 20210131 1
<h4>Introduction</h4>Intestinal parasites are amongst the major public health challenges facing Sub-Saharan Africa. The aim of the study was to determine the prevalence of intestinal parasites and its associated factors among food handlers in Medebay Zana District, Tigray, Ethiopia.<h4>Methods</h4>A cross-sectional study was conducted among 401 food handler individuals selected by systematic random sampling. Binary and multivariable logistic regression was used to determine the possible associat ...[more]