Evidence map›Paper›PMID 33472630›Full record

ArticleMalaria journal2021

Choosing interventions to eliminate forest malaria: preliminary results of two operational research studies inside Cambodian forests.

Amber Kunkel, Chea Nguon, Sophea Iv, Srean Chhim, Dom Peov, Phanith Kong, Saorin Kim, Sarun Im, Mark Debackere, Nimol Khim and 6 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

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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

16 authors at 3 institutions in 2 countries.

Amber KunkelEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia. agkunkel@gmail.com.ORCID http://orcid.org/0000-0002-8376-4713
Chea NguonNational Center for Parasitology, Entomology and Malaria Control, Phnom Penh, Cambodia.
Sophea IvEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Srean ChhimEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Dom PeovEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Phanith KongEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Saorin KimMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Sarun ImPartners for Development, Phnom Penh, Cambodia.
Mark DebackereMalaria Consortium, Phnom Penh, Cambodia.
Nimol KhimMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Jean PopoviciMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Sreynet SrunMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Amélie VantauxMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Jean-Olivier GuintranWorld Health Organization, Cambodia Country Office, Phnom Penh, Cambodia.
Benoit WitkowskiMalaria Molecular Epidemiology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Patrice PiolaEpidemiology and Public Health Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia.
Institut Pasteur du Cambodge · KHCambodia National Malaria Center · KHInstitut Pasteur · FR

Funding

French Initiative 5% 17SANIN205Regional Artemisinin-resistance Initiative QSE-M-UNOPSWorld Health Organization 001
6 · The paper itself

Abstract

backgroundRapid elimination of Plasmodium falciparum malaria in Cambodia is a goal with both national and international significance. Transmission of malaria in Cambodia is limited to forest environments, and the main population at risk consists of forest-goers who rely on forest products for income or sustenance. The ideal interventions to eliminate malaria from this population are unknown.

methodsIn two forested regions of Cambodia, forest-goers were trained to become forest malaria workers (FMWs). In one region, FMWs performed mass screening and treatment, focal screening and treatment, and passive case detection inside the forest. In the other region, FMWs played an observational role for the first year, to inform the choice of intervention for the second year. In both forests, FMWs collected blood samples and questionnaire data from all forest-goers they encountered. Mosquito collections were performed in each forest.

resultsMalaria prevalence by PCR was high in the forest, with 2.3-5.0% positive for P. falciparum and 14.6-25.0% positive for Plasmodium vivax among forest-goers in each study site. In vectors, malaria prevalence ranged from 2.1% to 9.6%, but no P. falciparum was observed. Results showed poor performance of mass screening and treatment, with sensitivity of rapid diagnostic tests equal to 9.1% (95% CI 1.1%, 29.2%) for P. falciparum and 4.4% (95% CI 1.6%, 9.2%) for P. vivax. Malaria infections were observed in all demographics and throughout the studied forests, with no clear risk factors emerging.

conclusionsMalaria prevalence remains high among Cambodian forest-goers, but performance of rapid diagnostic tests is poor. More adapted strategies to this population, such as intermittent preventive treatment of forest goers, should be considered.

Indexed as

ForestsAnimalsAsian PeopleCambodiaCulicidaeDisease EradicationFemaleHumansMalariaMalaria, FalciparumMalaria, VivaxMass ScreeningMosquito VectorsOperations ResearchPrevalenceRisk FactorsCambodiaForestForest-goersGreater mekong subregionMalariaMass screening and treatmentPlasmodium falciparumPlasmodium vivaxRapid diagnostic test

Identifiers

PMID33472630
PMCPMC7818569
OpenAlexW3125486450

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.