Evidence map›Paper›PMID 38291392›Full record

ArticleMalaria journal2024

Forest-goers as a heterogeneous population at high-risk for malaria: a case-control study in Aceh Province, Indonesia.

Sarah Gallalee, Iska Zarlinda, Martha G Silaen, Chris Cotter, Carmen Cueto, Iqbal R F Elyazar, Jerry O Jacobson, Roly Gosling, Michelle S Hsiang, Adam Bennett and 2 more

Open access · goldAbstract 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 5 institutions in 4 countries.

Sarah GallaleeMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA. sarah.gallalee@ucsf.edu.
Iska ZarlindaMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Martha G SilaenMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Chris CotterMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Carmen CuetoMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Iqbal R F ElyazarEijkman-Oxford Clinical Research Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Jerry O JacobsonMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Roly GoslingMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Michelle S HsiangMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Adam BennettMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
Farah N Coutrier *Malaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Jennifer L Smith *Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USEijkman Institute for Molecular Biology · IDGlobal Brain Health Institute · USOxford University Clinical Research Unit IndonesiaUppsala University · SE

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
Bill and Melinda Gates Foundation A122394NIAID NIH HHS K01 AI153555
6 · The paper itself

Abstract

backgroundA major challenge to malaria elimination is identifying and targeting populations that are harbouring residual infections and contributing to persistent transmission. In many near-elimination settings in Southeast Asia, it is known that forest-goers are at higher risk for malaria infection, but detailed information on their behaviours and exposures is not available.

methodsIn Aceh Province, Indonesia, a near-elimination setting where a growing proportion of malaria is due to Plasmodium knowlesi, a case-control study was conducted to identify risk factors for symptomatic malaria, characteristics of forest-goers, and key intervention points. From April 2017 to September 2018, cases and controls were recruited and enrolled in a 1:3 ratio. Cases had confirmed malaria infection by rapid diagnostic test or microscopy detected at a health facility (HF). Gender-matched controls were recruited from passive case detection among individuals with suspected malaria who tested negative at a health facility (HF controls), and community-matched controls were recruited among those testing negative during active case detection. Multivariable logistic regression (unconditional for HF controls and conditional for community controls) was used to identify risk factors for symptomatic malaria infection.

resultsThere were 45 cases, of which 27 were P. knowlesi, 17 were Plasmodium vivax, and one was not determined. For controls, 509 and 599 participants were recruited from health facilities and the community, respectively. Forest exposures were associated with high odds of malaria; in particular, working and sleeping in the forest (HF controls: adjusted odds ratio (aOR) 21.66, 95% CI 5.09-92.26; community controls: aOR 16.78, 95% CI 2.19-128.7) and having a second residence in the forest (aOR 6.29, 95% CI 2.29-17.31 and 13.53, 95% CI 2.10-87.12). Male forest-goers were a diverse population employed in a variety of occupations including logging, farming, and mining, sleeping in settings, such as huts, tents, and barracks, and working in a wide range of group sizes. Reported use of protective measures, such as nets, hammock nets, mosquito coils, and repellents was low among forest-goers and interventions at forest residences were absent.

conclusionsSecond residences in the forest and gaps in use of protective measures point to key malaria interventions to improve coverage in forest-going populations at risk for P. knowlesi and P. vivax in Aceh, Indonesia. Intensified strategies tailored to specific sub-populations will be essential to achieve elimination.

Indexed as

MalariaMalaria, VivaxCase-Control StudiesForestsHumansIndonesiaMaleForest-goersHigh-risk populationsIndonesiaMalariaMalaria eliminationPlasmodium knowlesiPlasmodium vivaxSurveillance

Identifiers

PMID38291392
PMCPMC10826189
OpenAlexW4391361478

What OpenQuestion 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 OpenQuestion graph.