Evidence map›Paper›PMID 41931566›Full record

ArticlePLOS global public health2026

Adapting reactive case detection strategies for high-risk populations to increase malaria infection detection in Aceh Province, Indonesia.

Adam Bennett, Chris Cotter, Iska Zarlinda, Martha G Silaen, Rosa Nora Lina, Carmen Cueto, Iqbal Elyazar, Jerry O Jacobson, Lenny Ekawati, Michelle S Hsiang and 3 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Adam BennettMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.
Chris CotterMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.
Iska ZarlindaEijkman Research Center for Molecular Biology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia.
Martha G SilaenEijkman Research Center for Molecular Biology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia.ORCID https://orcid.org/0009-0009-0034-0965
Rosa Nora LinaEijkman Research Center for Molecular Biology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia.
Carmen CuetoMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.
Iqbal ElyazarOxford University Clinical Research Unit (OUCRU), Jakarta, Indonesia.
Jerry O JacobsonMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0009-0002-6190-0945
Lenny EkawatiOxford University Clinical Research Unit (OUCRU), Jakarta, Indonesia.
Michelle S HsiangMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.
Rintis NoviyantiEijkman Research Center for Molecular Biology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia.
Jennifer L SmithMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.
Farah N CoutrierEijkman Research Center for Molecular Biology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia.ORCID https://orcid.org/0000-0003-3141-0697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reactive case detection (RACD), or testing and treatment of close contacts of recent malaria cases, is widely used in settings nearing malaria elimination, but often results in very low yield and uncertain impact. In areas where the primary vector exposure occurs outside the home, adapting RACD to target high-risk populations with specific exposure profiles may increase yield, surveillance value, and impact on treatment rates and transmission. We evaluated the feasibility and yield of a risk-based RACD approach based upon forest-based exposure, in comparison with the standard neighborhood and household-based RACD conducted in Aceh Province, Indonesia. Index malaria cases were enrolled from public health facilities in five subdistricts. For each index case, standard RACD included testing members of households within 500 m, while risk-based RACD involved testing non-household contacts sharing a forest worksite or forest travel. Infection prevalence was measured by light microscopy, loop-mediated isothermal amplification (LAMP) and polymerase chain reaction (PCR). The study enrolled 47 index malaria cases during the study period, the majority (28) of which were diagnosed as P. knowlesi infections. Forty-one of the cases reported potential forest exposure outside the home, and follow-up was completed for 40 cases. Standard household-based RACD tested 847 household members from 34 index cases, yielding only 1 infection by LAMP/PCR (0.1%; 95% Confidence Interval (CI) 0.0 - 0.7%). Risk-based RACD tested 179 eligible contacts from 32 index cases, yielding 8 LAMP positive infections (4.5%; 95% CI 1.9 - 8.6%), including 3 confirmed by PCR (1.7%; 95% CI 0.3 - 4.8%). In Aceh Province, targeting RACD to non-household contacts with shared high-risk exposures substantially increased infection yield compared to household-based RACD. Risk-based, exposure-driven approaches may improve the effectiveness of RACD in settings where malaria risk is greater outside the home.

Identifiers

PMID41931566
PMCPMC13048492

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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.