Evidence map›Paper›PMID 39696271›Full record

ArticleMalaria journal2024

Identifying populations at high risk of malaria: a mixed-methods case-control study to inform targeted interventions in Senegal.

Tidiane Thiam, Demba Kande, Henry Ntuku, Caterina Guinovart, Natalie Galles, Laura Merriman, Moustapha Cissé, Abiboulaye Sall, Ndack Diop, Aichatou Barry Diouf and 8 more

Abstract read
In one paragraph

Article in Malaria journal, 2024. 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. 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

18 authors.

Tidiane ThiamPATH, Seattle, USA.
Demba KandePATH, Seattle, USA.
Henry NtukuPATH, Seattle, USA. hntuku@path.org.
Caterina GuinovartPATH, Seattle, USA.
Natalie GallesPATH, Seattle, USA.
Laura MerrimanPATH, Seattle, USA.
Moustapha CisséPATH, Seattle, USA.
Abiboulaye SallPATH, Seattle, USA.
Ndack DiopPATH, Seattle, USA.
Aichatou Barry DioufSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Mama Moussa DiawSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Mamadou DiopSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Baba CamaraSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Niene SeckSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Aliou NdourSenegal Ministry of Health, National Malaria Control Programme, Dakar, Senegal.
Yakou DieyePATH, Seattle, USA.
Jennifer SmithMalaria Elimination Initiative, University of California San Francisco, San Francisco, CA, USA.
Adam BennettPATH, Seattle, USA.

Funding

Genetic and social network analysis to target interventions for malaria eliminationK01AI153555 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SMITH, JENNIFER LINNEA · 2020 to 2024
$725k
NIAID NIH HHS K01 AI153555
6 · The paper itself

Abstract

backgroundSenegal has made significant progress in reducing the burden of malaria, but transmission remains highly heterogeneous, with specific population subgroups likely at higher risk. Consultations with the National Malaria Control Programme (NMCP) and a review of available data identified nomadic pastoralists, gold miners, and Koranic school students as potential high-risk populations (HRPs). This study aimed to evaluate whether these populations are at higher risk of malaria and better characterize their exposure patterns to inform the design of targeted intervention strategies.

methodsA mixed-methods study was conducted in the districts of Ranérou, Kaolack, and Saraya between November 2020 and December 2021. A formative assessment including key informant interviews (KII) and focus group discussions (FGD) was conducted with non-HRP and HRP members (nomadic pastoralists, gold miners, Koranic school students). A health facility-based case-control study was then conducted in nine health facilities across the three districts. 501 confirmed malaria cases and 1002 non-malaria controls were frequency matched by age and sex with a ratio of 1:2. A standardized questionnaire was administered to collect sociodemographic information, including occupation, use of malaria prevention measures, mosquito exposure, and travel history. Multivariable logistic regression was used to identify malaria risk factors.

resultsKIIs and FGDs indicated that nomadic pastoralists, gold miners and Koranic school students have high exposure to mosquito bites through outdoor sleeping, spending time outside at night and sleeping in informal structures, with important gaps in the coverage of indoor residual spraying (IRS) and long-lasting insecticidal nets (LLINs) and limited access to health services. Compared to controls, cases had higher odds of being a nomadic pastoralist (odds ratio (OR) 4.67 95% CI 1.96-11.11) or gold miner (OR 1.92 95% CI 1.20-3.07). No evidence was found of an association with being a Koranic school student (OR 1.39 95% CI 0.80-2.39).

conclusionsNomadic pastoralists and gold miners in the study areas are at higher risk of malaria. Targeted interventions are needed to cover gaps in malaria prevention coverage and access to health services.

Indexed as

MalariaAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedMinersRisk FactorsSenegalTransients and MigrantsHigh risk populationsMalariaRisk factors

Identifiers

PMID39696271
PMCPMC11657195

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.