Evidence map›Paper›PMID 40835917›Full record

ArticleMalaria journal2025

Occupations at high risk for malaria in Zanzibar: a case-control study, may-august 2023.

Geofrey Makenga, Sarah Gallalee, Humphrey Mkali, Mwinyi Issa Khamis, Abdulhamid Ramadhan, Mohamed Haji Ali, Wahida S Hassan, Juma Hassan, Stella Makwaruzi, Saidi Mgata and 15 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Serological evidence of continued exposure toFrontiers in microbiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Geofrey Makenga *PMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania. geofmacky@gmail.com.
Sarah Gallalee *Malaria Elimination Initiative, University of California, San Francisco, USA.
Humphrey MkaliPMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Mwinyi Issa KhamisZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Abdulhamid RamadhanZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Mohamed Haji AliZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Wahida S HassanZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Juma HassanZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Stella MakwaruziPMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Saidi MgataPMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Michael GulakaPMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Nicodem James GovellaPMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Fabrizio MolteniSwiss Tropical Public Health, Dar es Salaam, United Republic of Tanzania.
Chonge KitojoU.S. President's Malaria Initiative, US Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Erik ReavesU.S. President's Malaria Initiative, US Centers for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania.
Sarah-Blythe BallardU.S. President's Malaria Initiative, US Centers for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania.
Naomi SerbantezU.S. President's Malaria Initiative, US Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Albert IkonjeU.S. President's Malaria Initiative, US Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Marguerite AfenuPopulation Services International, Washington, DC, USA.
Sigisbert MkudePMI Dhibiti (Control) Malaria Project, Population Services International, Dar es Salaam, United Republic of Tanzania.
Jennifer L SmithMalaria Elimination Initiative, University of California, San Francisco, USA.
Safia MohamedZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Shija J ShijaZanzibar Malaria Elimination Programme (ZAMEP), Ministry of Health, MjiniMagharibi, Zanzibar, United Republic of Tanzania.
Cara Smith GueyeMalaria Elimination Initiative, University of California, San Francisco, USA.
Roly GoslingPopulation Services International, Washington, DC, USA.

Funding

Bill & Melinda Gates Foundation INV-024346Gates Foundation INV-024346U.S. President's Malaria Initiative (PMI) 72062122CA0008
6 · The paper itself

Abstract

backgroundIn 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.

methodsA 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.

resultsIn 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).

conclusionTailored interventions targeting specific occupational groups could be an effective strategy to reduce malaria in urban areas in Zanzibar.

Indexed as

MalariaOccupationsAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolFemaleHumansMaleMiddle AgedRisk FactorsRural PopulationTanzaniaUrban Population

Identifiers

PMID40835917
PMCPMC12366202

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.