{"title":"Prevalence of malaria and associated risk factors among asymptomatic migrant laborers in West Armachiho District, Northwest Ethiopia.","authors":"Yibeltal Aschale, Abeba Mengist, Abebaw Bitew, Bekalu Kassie, Asmare Talie","doi":"10.2147/RRTM.S165260","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Malaria is a febrile illness caused by protozoan parasites of the genus <i>Plasmodium</i>. It is prevalent in tropical and subtropical countries and becomes a challenge to a highly endemic area of Africa including Ethiopia. The West Armachiho district is a malaria-endemic lowland area where communities are experiencing hyperendemic malaria transmission.</p><p><strong>Objective: </strong>The aim of this study was to determine the prevalence of malaria and the associated risk factors among asymptomatic migrant laborers in the West Armachiho district, Northwest Ethiopia.</p><p><strong>Materials and methods: </strong>Community-based cross-sectional study was conducted from September to December 2016 on 385 migrant laborers selected by proportionate two-stage sampling method in Agricultural camps of the West Armachiho district. A standardized questionnaire was used to collect sociodemographic data and risk factors. Capillary blood was collected for Giemsa-stained blood film examination to detect and identify <i>Plasmodium</i> parasites. Data were coded, entered, checked for completeness, and analyzed using SPSS version-20 statistical software. Multivariate logistic regression was used to asses significantly associated risk factors. A <i>P</i>-value <0.05 was considered as statistically significant.</p><p><strong>Results: </strong>The prevalence of malaria was found to be 18.4% (n=71). Education level, home area or origin of migrant laborers, number of visits, outdoor sleeping, and bed net utilization were associated with the risk of malaria (<i>P</i><0.05).</p><p><strong>Conclusion: </strong>Malaria was high in this study area and associated with outdoor sleeping, number of visits, home area, and bed net utilization.</p>","PeriodicalId":21138,"journal":{"name":"Research and Reports in Tropical Medicine","volume":"9 ","pages":"95-101"},"PeriodicalIF":3.1000,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/RRTM.S165260","citationCount":"56","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research and Reports in Tropical Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/RRTM.S165260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 56
Abstract
Background: Malaria is a febrile illness caused by protozoan parasites of the genus Plasmodium. It is prevalent in tropical and subtropical countries and becomes a challenge to a highly endemic area of Africa including Ethiopia. The West Armachiho district is a malaria-endemic lowland area where communities are experiencing hyperendemic malaria transmission.
Objective: The aim of this study was to determine the prevalence of malaria and the associated risk factors among asymptomatic migrant laborers in the West Armachiho district, Northwest Ethiopia.
Materials and methods: Community-based cross-sectional study was conducted from September to December 2016 on 385 migrant laborers selected by proportionate two-stage sampling method in Agricultural camps of the West Armachiho district. A standardized questionnaire was used to collect sociodemographic data and risk factors. Capillary blood was collected for Giemsa-stained blood film examination to detect and identify Plasmodium parasites. Data were coded, entered, checked for completeness, and analyzed using SPSS version-20 statistical software. Multivariate logistic regression was used to asses significantly associated risk factors. A P-value <0.05 was considered as statistically significant.
Results: The prevalence of malaria was found to be 18.4% (n=71). Education level, home area or origin of migrant laborers, number of visits, outdoor sleeping, and bed net utilization were associated with the risk of malaria (P<0.05).
Conclusion: Malaria was high in this study area and associated with outdoor sleeping, number of visits, home area, and bed net utilization.
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