Geofrey Makenga, Sarah Gallalee, Humphrey Mkali, Mwinyi Issa Khamis, Abdulhamid Ramadhan, Mohamed Haji Ali, Wahida S Hassan, Juma Hassan, Stella Makwaruzi, Saidi Mgata, Michael Gulaka, Nicodem James Govella, Fabrizio Molteni, Chonge Kitojo, Erik Reaves, Sarah-Blythe Ballard, Naomi Serbantez, Albert Ikonje, Marguerite Afenu, Sigisbert Mkude, Jennifer L Smith, Safia Mohamed, Shija J Shija, Cara Smith Gueye, Roly Gosling
{"title":"桑给巴尔疟疾高危职业:2023年5月至8月的病例对照研究","authors":"Geofrey Makenga, Sarah Gallalee, Humphrey Mkali, Mwinyi Issa Khamis, Abdulhamid Ramadhan, Mohamed Haji Ali, Wahida S Hassan, Juma Hassan, Stella Makwaruzi, Saidi Mgata, Michael Gulaka, Nicodem James Govella, Fabrizio Molteni, Chonge Kitojo, Erik Reaves, Sarah-Blythe Ballard, Naomi Serbantez, Albert Ikonje, Marguerite Afenu, Sigisbert Mkude, Jennifer L Smith, Safia Mohamed, Shija J Shija, Cara Smith Gueye, Roly Gosling","doi":"10.1186/s12936-025-05517-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In malaria elimination settings, cases tend to cluster geographically and occur among certain subpopulations. Clustering is often related to specific factors such as occupation or mobility, which increase an individual's risk for malaria infection.</p><p><strong>Methods: </strong>A case-control study was conducted to identify malaria high-risk populations (HRPs) in Zanzibar. Patients presenting with symptoms of malaria at selected facilities were recruited from historically high burden areas in two urban districts (Mjini and Magharibi B) and two rural districts (Kati and Micheweni). Between May and August 2023, the study recruited 197 cases and 557 controls frequency matched by age group and sex. Logistic regression was used to explore associations between risk factors and the epidemiological outcome of local malaria infection, classified as confirmed malaria cases with no travel outside Zanzibar in the prior 3 weeks.</p><p><strong>Results: </strong>In urban districts, night watchmen/police (odds ratio [OR] 5.3, 95% confidence interval [CI]: 2.7-10.6, p < 0.001), construction workers (OR 3.0, 95% CI 1.8-5.0 p = 0.007), and farmers (OR 1.6, 95% CI 1.1-2.2, p = 0.01) were found to have higher odds of malaria infection compared to those not working in those professions. Other high-risk behaviours in urban districts included night-time activities (OR 2.8, 95% CI 1.8-4.3, p < 0.001), meals taken outside (OR 2.0, 95% CI 1.1-3.4, p = 0.01), and recent travel within Zanzibar (OR 3.3, 95% CI 1.5-7.1, p = 0.002). In rural districts, outdoor night-time activities (OR 3.8, 95% CI 1.5-9.9, p = 0.006) and taking meals outside (OR 2.7, 95% CI 1.1-6.6, p = 0.03) were risk factors for malaria; however, no higher risk occupational groups were identified. Overall, there was a trend towards net use being protective against malaria, but this association only reached statistical significance in rural districts (p = 0.015).</p><p><strong>Conclusion: </strong>Tailored interventions targeting specific occupational groups could be an effective strategy to reduce malaria in urban areas in Zanzibar.</p>","PeriodicalId":18317,"journal":{"name":"Malaria Journal","volume":"24 1","pages":"268"},"PeriodicalIF":3.0000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12366202/pdf/","citationCount":"0","resultStr":"{\"title\":\"Occupations at high risk for malaria in Zanzibar: a case-control study, may-august 2023.\",\"authors\":\"Geofrey Makenga, Sarah Gallalee, Humphrey Mkali, Mwinyi Issa Khamis, Abdulhamid Ramadhan, Mohamed Haji Ali, Wahida S Hassan, Juma Hassan, Stella Makwaruzi, Saidi Mgata, Michael Gulaka, Nicodem James Govella, Fabrizio Molteni, Chonge Kitojo, Erik Reaves, Sarah-Blythe Ballard, Naomi Serbantez, Albert Ikonje, Marguerite Afenu, Sigisbert Mkude, Jennifer L Smith, Safia Mohamed, Shija J Shija, Cara Smith Gueye, Roly Gosling\",\"doi\":\"10.1186/s12936-025-05517-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In malaria elimination settings, cases tend to cluster geographically and occur among certain subpopulations. Clustering is often related to specific factors such as occupation or mobility, which increase an individual's risk for malaria infection.</p><p><strong>Methods: </strong>A case-control study was conducted to identify malaria high-risk populations (HRPs) in Zanzibar. Patients presenting with symptoms of malaria at selected facilities were recruited from historically high burden areas in two urban districts (Mjini and Magharibi B) and two rural districts (Kati and Micheweni). Between May and August 2023, the study recruited 197 cases and 557 controls frequency matched by age group and sex. Logistic regression was used to explore associations between risk factors and the epidemiological outcome of local malaria infection, classified as confirmed malaria cases with no travel outside Zanzibar in the prior 3 weeks.</p><p><strong>Results: </strong>In urban districts, night watchmen/police (odds ratio [OR] 5.3, 95% confidence interval [CI]: 2.7-10.6, p < 0.001), construction workers (OR 3.0, 95% CI 1.8-5.0 p = 0.007), and farmers (OR 1.6, 95% CI 1.1-2.2, p = 0.01) were found to have higher odds of malaria infection compared to those not working in those professions. Other high-risk behaviours in urban districts included night-time activities (OR 2.8, 95% CI 1.8-4.3, p < 0.001), meals taken outside (OR 2.0, 95% CI 1.1-3.4, p = 0.01), and recent travel within Zanzibar (OR 3.3, 95% CI 1.5-7.1, p = 0.002). 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Occupations at high risk for malaria in Zanzibar: a case-control study, may-august 2023.
Background: In malaria elimination settings, cases tend to cluster geographically and occur among certain subpopulations. Clustering is often related to specific factors such as occupation or mobility, which increase an individual's risk for malaria infection.
Methods: A case-control study was conducted to identify malaria high-risk populations (HRPs) in Zanzibar. Patients presenting with symptoms of malaria at selected facilities were recruited from historically high burden areas in two urban districts (Mjini and Magharibi B) and two rural districts (Kati and Micheweni). Between May and August 2023, the study recruited 197 cases and 557 controls frequency matched by age group and sex. Logistic regression was used to explore associations between risk factors and the epidemiological outcome of local malaria infection, classified as confirmed malaria cases with no travel outside Zanzibar in the prior 3 weeks.
Results: In urban districts, night watchmen/police (odds ratio [OR] 5.3, 95% confidence interval [CI]: 2.7-10.6, p < 0.001), construction workers (OR 3.0, 95% CI 1.8-5.0 p = 0.007), and farmers (OR 1.6, 95% CI 1.1-2.2, p = 0.01) were found to have higher odds of malaria infection compared to those not working in those professions. Other high-risk behaviours in urban districts included night-time activities (OR 2.8, 95% CI 1.8-4.3, p < 0.001), meals taken outside (OR 2.0, 95% CI 1.1-3.4, p = 0.01), and recent travel within Zanzibar (OR 3.3, 95% CI 1.5-7.1, p = 0.002). In rural districts, outdoor night-time activities (OR 3.8, 95% CI 1.5-9.9, p = 0.006) and taking meals outside (OR 2.7, 95% CI 1.1-6.6, p = 0.03) were risk factors for malaria; however, no higher risk occupational groups were identified. Overall, there was a trend towards net use being protective against malaria, but this association only reached statistical significance in rural districts (p = 0.015).
Conclusion: Tailored interventions targeting specific occupational groups could be an effective strategy to reduce malaria in urban areas in Zanzibar.
期刊介绍:
Malaria Journal is aimed at the scientific community interested in malaria in its broadest sense. It is the only journal that publishes exclusively articles on malaria and, as such, it aims to bring together knowledge from the different specialities involved in this very broad discipline, from the bench to the bedside and to the field.