Evidence map›Paper›PMID 42656838›Full record

ArticleMalariaWorld journal2026

Prevalence of malaria and its environmental and socio-cultural determinants in Tandahimba district council, Mtwara Region, Tanzania.

Sabina J Ipembe, Hussein Mohamed, Elibariki Mwakapeje

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Article in MalariaWorld journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sabina J IpembeDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, PO Box 65015, Dar es Salaam, Tanzania.
Hussein MohamedDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences (MUHAS), PO Box 65015, Dar es Salaam, Tanzania.
Elibariki MwakapejeTanzania Field Epidemiology and Laboratory Training Program (TFELTP), Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria remains a major public health and economic burden, especially in sub-Saharan Africa, which accounted for an estimated 94% of the 263 million global malaria cases and 597,000 deaths reported in 2023. In Tanzania, malaria prevalence is estimated at 8%, however regional disparities exist. Mtwara Region reported highest prevalence at 20% in 2022, increasing from 15% in 2017, despite the region's goal to eliminate malaria by 2030. Tandahimba district, in particular, has persistent high transmission despite ongoing control interventions, raising concerns about underlying environmental and socio-cultural factors to malaria transmission. This study aimed to determine the prevalence, environmental and socio-cultural influences linked with malaria cases in the Tandahimba District Council. Materials and Methods: A mixed-method study using a convergent parallel design was conducted. A multi-stage cluster sampling method was used to select 522 participants. Quantitative data were collected from these participants using structured questionnaires, while qualitative data were obtained through in-depth interviews with Ward Executive Officers and the District Vector Control Officer. Quantitative data were analysed using Stata version 17, applying a modified Poisson regression model to estimate adjusted prevalence ratios (aPRs) with 95% confidence intervals (CIs). Variables with p ≤ 0.05 were considered significant. Qualitative data were analysed thematically using NVivo and integrated with quantitative results to provide a comprehensive understanding. Results: Among the 522 participants, the mean age was 41 years (±22.5 SD). Maundo ward contributed the highest proportion of participants (24.1%). Environmental factors significantly associated with malaria included earth mud/grass wall materials (aPR = 1.47, 95%CI: 1.19-1.82, p < 0.001) and open eaves (aPR = 1.46, 95%CI: 1.23-1.73, p < 0.001), while metal sheet roofing was protective (aPR = 0.77, 95%CI: 0.69-0.86, p < 0.001). Socio-cultural factors such as travel history (aPR = 1.28, 95%CI: 1.07-1.53, p = 0.006) and staying outdoors at night (aPR = 1.29, 95%CI: 1.09-1.53, p = 0.003) increased malaria risk. Protective factors included bednet use, mosquito repellents, and mosquito sprays. Conclusions: Malaria prevalence in Tandahimba District is strongly influenced by environmental housing conditions and socio-cultural behaviours. Integrated, community-led interventions addressing housing improvements and preventive practices are essential for effective malaria control.

Identifiers

PMID42656838
PMCPMC13508120

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.