Evidence map›Paper›PMID 30700970›Full record

ArticleTropical medicine and health2019

Malaria prevalence, knowledge, perception, preventive and treatment behavior among military in Champasak and Attapeu provinces, Lao PDR: a mixed methods study.

Phoutnalong Vilay, Daisuke Nonaka, Phosadeth Senamonty, Malayvanh Lao, Moritoshi Iwagami, Jun Kobayashi, Paul Michael Hernandez, Ketkesone Phrasisombath, Sengchanh Kounnavong, Bouasy Hongvanthong and 2 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.3field-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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  6. Malaria signs, symptoms, prevention knowledge and its associated factors among rural Ethiopians.African journal of primary health care & family medicine · 2025
    Article
  7. Article
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  9. Forest-Going as a Risk Factor for Confirmed Malaria in Champasak Province, Lao PDR: A Case-Control Study.International journal of environmental research and public health · 2024
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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 5 countries.

Phoutnalong Vilay1Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara-cho, Okinawa, 903-0215 Japan.ORCID 0000-0002-1243-9235
Daisuke Nonaka1Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara-cho, Okinawa, 903-0215 Japan.
Phosadeth SenamontyMilitary Institute of Diseases Prevention, Department of Military Medical, Ministry of Defense, Vientiane, Lao PDR.
Malayvanh LaoMilitary Institute of Diseases Prevention, Department of Military Medical, Ministry of Defense, Vientiane, Lao PDR.
Moritoshi IwagamiSATREPS Project for Parasitic Diseases, Vientiane, Lao PDR.
Jun Kobayashi1Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara-cho, Okinawa, 903-0215 Japan.
Paul Michael Hernandez1Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, 207 Uehara-cho, Okinawa, 903-0215 Japan.
Ketkesone Phrasisombath8Academic Affairs Division, University of Health Sciences, Vientiane, Lao PDR.
Sengchanh KounnavongSATREPS Project for Parasitic Diseases, Vientiane, Lao PDR.
Bouasy Hongvanthong2Center of Malariology, Parasitology and Entomology, Ministry of Health, Vientiane, Lao PDR.
Paul T BreySATREPS Project for Parasitic Diseases, Vientiane, Lao PDR.
Shigeyuki KanoSATREPS Project for Parasitic Diseases, Vientiane, Lao PDR.
University of the Ryukyus · JPMinistry of Health · LANational Center for Global Health and Medicine · JPMinistry of Health · RWUniversity of Health Sciences Vientiane · LA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a major health problem in Lao People's Democratic Republic (Lao PDR) with high transmission in remote and forest areas, particularly in the South. The military is at risk of malaria infection especially those deployed in forest areas. This study determined the prevalence of malaria infection and assessed knowledge, perception, and preventive and treatment behavior regarding malaria among military personnel in two southern provinces in Lao PDR.

methodsQuantitative and qualitative approaches were undertaken in Champasak and Attapeu provinces in 2017. From 313 military personnel, quantitative data were collected through questionnaire-based interviews and blood samples used for parasite detection by polymerase chain reaction (PCR). Qualitative data were collected through 7 focus group discussions and 17 in-depth interviews among 49 military personnel. Fisher's exact test and Mann-Whitney

resultsThe prevalence of malaria infection was 11.2% (

conclusionsThe prevalence of symptomatic and asymptomatic malaria was conspicuous among military in forest areas. Many participants believed that malaria is transmitted not only by mosquito bites but also from drinking stream water. Preventive equipment was often insufficient. Self-treatment was practiced before referring to healthcare facility. To further prevent military from contracting malaria, the National Malaria Control Program and military body should provide adequate and suitable health education, protective equipment, and on-site malaria case management.

Indexed as

KnowledgeLaosMalariaMilitaryPerceptionPrevalencePreventive measureTreatment behavior

Identifiers

PMID30700970
PMCPMC6347756
OpenAlexW2921842562

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.