Evidence map›Paper›PMID 30777127›Full record

ArticleParasites & vectors2019

Geographical heterogeneity in prevalence of subclinical malaria infections at sentinel endemic sites of Myanmar.

Ziling Liu, Than Naing Soe, Yan Zhao, Aye Than, Cho Cho, Pyae Linn Aung, Yuling Li, Lin Wang, Huilin Yang, Xiangnan Li and 10 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
6.9field-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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  4. Asymptomatic/submicroscopicParasite epidemiology and control · 2025
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  5. SubclinicalResearch and reports in tropical medicine · 2025
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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

20 authors at 6 institutions in 3 countries.

Ziling LiuDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Than Naing SoeDepartment of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Yan ZhaoDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Aye ThanMyanmar Medical Association, Yangon, Myanmar.
Cho ChoMyanmar Medical Association, Yangon, Myanmar.
Pyae Linn AungMyanmar Medical Association, Yangon, Myanmar.
Yuling LiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Lin WangDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Huilin YangDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Xiangnan LiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Danni LiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Zhiping PengDepartment of Clinical Laboratory, Baotou central Hospital, Baotou, 014040, Inner Mongolia Province, China.
Jiangang WangDepartment of Clinical Laboratory, Baotou central Hospital, Baotou, 014040, Inner Mongolia Province, China.
Yan LiDepartment of Clinical Laboratory, Baotou central Hospital, Baotou, 014040, Inner Mongolia Province, China.
Zhaoqing YangDepartment of Pathogen Biology and Immunology, Kunming Medical University, Kunming, 650000, China.
Hongning ZhouYunnan Provincial Center of Arborvirus Research, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases, Pu'er, 665000, Yunnan, China.
Qinghui WangDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China. gaihui2010@163.com.
Myat Phone KyawMyanmar Medical Association, Yangon, Myanmar. kyaw606@gmail.com.
Yaming CaoDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China. ymcao@cmu.edu.cn.
Liwang CuiDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China. lcui@health.usf.edu.
China Medical University · CNBaotou Central Hospital · CNDepartment of Public Health · MMKunming Medical University · CNUniversity of South Florida · USYunnan Institute of Parasitic Diseases · CN

Funding

Southeast Asia Malaria Research CenterU19AI089672 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI CUI, LIWANG · 2010 to 2023
$28.9M
NIAID NIH HHS U19 AI089672the National institute of Allergy and Infectious Diseases,National institutes of Health 2U19AI089672
6 · The paper itself

Abstract

backgroundThe malaria burden of Myanmar still remains high within the Greater Mekong Subregion of Southeast Asia. An important indicator of progress towards malaria elimination is the prevalence of parasite infections in endemic populations. Information about malaria epidemiology is mostly derived from reports of confirmed acute malaria cases through passive case detection, whereas the prevalence of baseline subclinical malaria infections is much less known.

methodsIn this study, cross-sectional surveys were conducted during the rainy season of 2017 in four townships (Bilin, Thabeikkyin, Banmauk and Paletwa) of Myanmar with divergent annual malaria incidences. A total of 1991 volunteers were recruited from local villages and Plasmodium subclinical infections were estimated by light microscopy (LM), rapid diagnostic tests (RDTs) and nested PCR. The nested PCR analysis was performed with a modified pooling strategy that was optimized based on an initial estimate the infection prevalence.

resultsThe overall malaria infection prevalence based on all methods was 13.9% (277/1991) and it differed drastically among the townships, with Paletwa in the western border having the highest infection rate (22.9%) and Thabeikkyin in central Myanmar having the lowest (3.9%). As expected, nested PCR was the most sensitive and identified 226 (11.4%) individuals with parasite infections. Among the parasite species, Plasmodium vivax was the most prevalent in all locations, while Plasmodium falciparum also accounted for 32% of infections in the western township Paletwa. Two RDTs based on the detection of the hrp2 antigen detected a total of 103 P. falciparum infections, and the ultrasensitive RDT detected 20% more P. falciparum infections than the conventional RDT. In contrast, LM missed the majority of the subclinical infections and only identified 14 Plasmodium infections.

conclusionsCross-sectional surveys identified considerable levels of asymptomatic Plasmodium infections in endemic populations of Myanmar with P. vivax becoming the predominant parasite species. Geographical heterogeneity of subclinical infections calls for active surveillance of parasite infections in endemic areas. The pooling scheme designed for nested PCR analysis offers a more practical strategy for large-scale epidemiological studies of parasite prevalence. Such information is important for decision-makers to put forward a more realistic action plan for malaria elimination.

Indexed as

AdolescentAdultAgedAged, 80 and overAntigens, ProtozoanAsymptomatic InfectionsChildChild, PreschoolCross-Sectional StudiesEndemic DiseasesFemaleGeographyHumansInfantMalaria, FalciparumMalaria, VivaxAntigens, ProtozoanHRP-2 antigen, Plasmodium falciparumProtozoan ProteinsMalariaMyanmarPooling strategyPrevalenceSubclinical

Identifiers

PMID30777127
PMCPMC6378722
OpenAlexW2921494062

What OpenQuestion holds

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LicenceCC BY
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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.