Evidence map›Paper›PMID 31861988›Full record

ArticleMalaria journal2019

Risk factor assessment for clinical malaria among forest-goers in a pre-elimination setting in Phu Yen Province, Vietnam.

Sara E Canavati, Gerard C Kelly, Cesia E Quintero, Thuan Huu Vo, Long Khanh Tran, Colin Ohrt, Thang Duc Ngo, Duong Thanh Tran, Nicholas J Martin

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

9 authors at 2 institutions in 2 countries.

Sara E CanavatiVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Gerard C KellyVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Cesia E QuinteroVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Thuan Huu VoVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Long Khanh TranVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Colin OhrtVysnova Partners, Inc., 4915 St. Elmo Ave., Bethesda, 20814, USA.
Thang Duc NgoNational Institute of Malariology, Parasitology and Entomology, 35 Trung Van, Hanoi, Vietnam.
Duong Thanh TranNational Institute of Malariology, Parasitology and Entomology, 35 Trung Van, Hanoi, Vietnam.
Nicholas J MartinNaval Medical Research Unit TWO, PSA Sembawang Deptford Rd., Building 7-4, Singapore, 759657, Singapore. Martin.Nicholas.mil@afrims.org.ORCID http://orcid.org/0000-0002-2030-8702
National Institute of Malariology, Parasitology and Entomology · VNMaritime and Port Authority of Singapore · SG

Funding

Defense Health Program Research and Development Program Work Unit Number D1423. Number D1423.
6 · The paper itself

Abstract

backgroundThe transition from malaria control to elimination requires understanding and targeting interventions among high-risk populations. In Vietnam, forest-goers are often difficult to test, treat and follow-up for malaria because they are highly mobile. If undiagnosed, forest-goers can maintain parasite reservoirs and contribute to ongoing malaria transmission.

methodsA case-control study was conducted to identify malaria risk factors associated with forest-goers in three communes in Phu Yen Province, Vietnam. Cases (n = 81) were residents from the study area diagnosed with malaria and known to frequent forest areas. Controls (n = 94) were randomly selected forest-going residents from within the study area with no identified malaria infection. Participants were interviewed face-to-face using a standard questionnaire to identify malaria risk factors. Logistic regression was used to calculate odds ratios (ORs) and 95% CI for risk factors after adjusting for socio-demographic characteristics.

resultsAmong the cases, malaria infection varied by species: 66.7% were positive for Plasmodium falciparum, 29.6% for Plasmodium vivax, and 3.7% were diagnosed as mixed infection. Cases were less likely than controls to use treated nets (aOR = 0.31; 95% CI 0.12-0.80), work after dark (aOR = 2.93; 95% CI 1.35, 6.34), bath in a stream after dark (aOR = 2.44; 95% CI 1.02-5.88), and collect water after dark (aOR = 1.99; 95% CI 1.02-3.90).

conclusionsAs Vietnam moves toward malaria elimination, these findings can inform behaviour change communication and malaria prevention strategies, incorporating the risk of after-dark and water-related activities, in this priority and difficult-to-access population group.

Indexed as

AdultCase-Control StudiesFemaleForestsHumansMalaria, FalciparumMalaria, VivaxMaleMiddle AgedPlasmodium falciparumPlasmodium vivaxPrevalenceRisk FactorsVietnamYoung AdultCase–control studyForest-goersMalariaMalaria eliminationMobile and migrant populationsRisk behaviorsRisk factor analysisVietnam

Identifiers

PMID31861988
PMCPMC6923829
OpenAlexW2995210554

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.