Evidence map›Paper›PMID 39767465›Full record

ArticleInternational journal of environmental research and public health2024

Forest-Going as a Risk Factor for Confirmed Malaria in Champasak Province, Lao PDR: A Case-Control Study.

Sarah Gallalee, Emily Dantzer, Francois Rerolle, Keobouphaphone Chindavongsa, Khampheng Phongluxa, Wattana Lasichanh, Jennifer L Smith, Roly Gosling, Andrew Lover, Bouasy Hongvanthong and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. 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

11 authors.

Sarah GallaleeMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-0493-5693
Emily DantzerMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
Francois RerolleMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
Keobouphaphone ChindavongsaCenter for Malariology, Parasitology and Entomology, Ministry of Health, Vientiane 01000, Laos.
Khampheng PhongluxaLao Tropical and Public Health Institute, Ministry of Health, Vientiane 01000, Laos.
Wattana LasichanhCenter for Malariology, Parasitology and Entomology, Ministry of Health, Vientiane 01000, Laos.
Jennifer L SmithMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
Roly GoslingMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-6291-0024
Andrew LoverDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts-Amherst, Amherst, MA01003, USA.
Bouasy HongvanthongCenter for Malariology, Parasitology and Entomology, Ministry of Health, Vientiane 01000, Laos.
Adam BennettMalaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, 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
Gates Foundation OPP1116450NIAID NIH HHS K01 AI153555
6 · The paper itself

Abstract

Lao People's Democratic Republic (Lao PDR) has made significant progress in reducing malaria in recent years. In the Greater Mekong Subregion, forest-going is often a risk factor contributing to continuing malaria transmission. This study assessed forest-going and other potential risk factors for malaria cases in Champasak Province, Lao PDR. Routine passive surveillance data from August 2017 to December 2018 were extracted from health facilities in three districts for a case-control study; at the time of presentation, all fever cases were asked to report any recent forest travel. Multivariable logistic regression was used to assess the relationship between forest-going and malaria infection while controlling for other covariates. Of 2933 fever cases with data available on forest-sleeping and malaria diagnosis from 25 health facilities, 244 (8%) tested positive (cases), and 2689 (92%) tested negative (controls). Compared with spending 0-2 nights in the forest, spending 3-7 nights in the forest was associated with 9.7 times the odds of having a malaria infection (95% CI: 4.67-20.31,

Indexed as

ForestsMalariaAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolFemaleHumansInfantLaosMaleMiddle AgedRisk FactorsTravelforest-goershigh-risk populationsLao PDRmalariaPlasmodium falciparumPlasmodium vivaxsurveillance

Identifiers

PMID39767465
PMCPMC11675269

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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.