Evidence map›Paper›PMID 41029817›Full record

ArticleMalaria journal2025

Temporal and spatial trends of the prevalence of infections caused by Plasmodium parasites among rural community members in three regions with varying transmission intensities in Mainland Tanzania.

Daniel P Challe, Daniel A Petro, Filbert Francis, Misago D Seth, Rashid A Madebe, Salehe S Mandai, Rule Budodo, Angelina J Kisambale, Gervas A Chacha, Ramadhan Moshi and 14 more

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

24 authors.

Daniel P ChalleNational Institute for Medical Research, Tanga, Tanzania.
Daniel A PetroUniversity of Dar es Salaam, Dar es Salaam, Tanzania.
Filbert FrancisNational Institute for Medical Research, Tanga, Tanzania.
Misago D SethNational Institute for Medical Research, Dar es Salaam, Tanzania.
Rashid A MadebeNational Institute for Medical Research, Dar es Salaam, Tanzania.
Salehe S MandaiIfakara Health Institute, Dar es Salaam, Tanzania.
Rule BudodoIfakara Health Institute, Dar es Salaam, Tanzania.
Angelina J KisambaleIfakara Health Institute, Dar es Salaam, Tanzania.
Gervas A ChachaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Ramadhan MoshiNational Institute for Medical Research, Dar es Salaam, Tanzania.
Ruth B MbwamboNational Institute for Medical Research, Dar es Salaam, Tanzania.
Dativa PereusIfakara Health Institute, Dar es Salaam, Tanzania.
Catherine BakariIfakara Health Institute, Dar es Salaam, Tanzania.
Doris MbataNational Institute for Medical Research, Dar es Salaam, Tanzania.
Beatus LyimoNelson Mandela African Institute of Science and Technology, Arusha, Tanzania.
Grace K KanyankoleIfakara Health Institute, Dar es Salaam, Tanzania.
Sijenunu AaronNational Malaria Control Programme, Dodoma, Tanzania.
Daniel MbwamboNational Malaria Control Programme, Dodoma, Tanzania.
Stella KajangePresident's Office, Regional Administration and Local Government, Dodoma, Tanzania.
Samwel LazaroNational Malaria Control Programme, Dodoma, Tanzania.
Ntuli KapologweDirectorate of Preventive Services, Ministry of Health, Dodoma, Tanzania.
Celine I MandaraNational Institute for Medical Research, Dar es Salaam, Tanzania.
Vedastus W MakeneOpen University of Tanzania, Dar es Salaam, Tanzania.
Deus S IshengomaNational Institute for Medical Research, Dar es Salaam, Tanzania. deusishe@yahoo.com.

Funding

Bill & Melinda Gates Foundation [grant number INV. 002202 and INV. 067322]
6 · The paper itself

Abstract

backgroundRecent reports showed persistence of malaria transmission and disease burden in rural communities, which has limited the impact of ongoing control and elimination strategies. This study investigated temporal and spatial trends of the prevalence of infections caused by Plasmodium parasites among community members from three regions with heterogeneous transmission intensities, following intensive use of different malaria control interventions in the past 20 years in Mainland Tanzania.

methodsCommunity surveys were conducted from 2021 to 2023, and involved 8166 individuals aged ≥ 6, living in rural communities in three regions of Kigoma, Ruvuma and Tanga. Structured questionnaires were used to collect demographic, anthropometric, clinical, parasitological, bed net use, type of house (traditional or modern), and socio-economic status (SES) data. The trends of the prevalence of infections caused by Plasmodium parasites detected using rapid diagnostic tests (RDTs) were determined using descriptive statistics and, and factors associated with the infections were determined using modified Poisson regression. The results were presented as crude (cPR) and adjusted prevalence ratios (aPR), with their corresponding 95% confidence intervals (CI).

resultsThe overall prevalence was 23.2% (n = 1896), with significant variations across regions and years (22.9% in 2021, 20.6% in 2022, and 26.9% in 2023; p < 0.001). School children (5- < 15 years; p < 0.001) and males (p < 0.001) had significantly higher prevalence in all years. The prevalence increased consistently in individuals with a history of fever within 48 h before the survey, from 40.1% in 2021 to 45.7% in 2022 (p = 0.049), and further to 58.6% in 2023 (p < 0.001). The prevalence and odds of infections were significantly higher among individuals who were not using bed nets (p ≤ 0.003) and those living in households with traditional houses (p < 0.001) or low SES (p < 0.001).

conclusionThe prevalence of infections caused by Plasmodium parasites varied significantly over the 3 years, in the three regions, and among individuals with different demographic and clinical features. The highest prevalence was in 2023, and among school children, males, individuals with a fever history, and participants living in households with traditional houses or low SES. These findings underscore the need for targeted and adaptive malaria control strategies to address emerging hotspots and vulnerable groups or populations.

Indexed as

MalariaPlasmodiumRural PopulationAdolescentAdultAgedChildChild, PreschoolFemaleHumansMaleMiddle AgedPrevalenceSpatio-Temporal AnalysisTanzaniaYoung AdultMalaria infectionsPlasmodium parasitesRapid diagnostic testsTanzaniaVulnerable populations

Identifiers

PMID41029817
PMCPMC12487506

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LicenceCC BY-NC-ND
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Registered trials

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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.