Evidence map›Paper›PMID 36709318›Full record

ArticleInfectious diseases of poverty2023

Spatio-temporal trends of malaria incidence from 2011 to 2017 and environmental predictors of malaria transmission in Myanmar.

Yan Zhao, Pyae Linn Aung, Shishao Ruan, Kyawt Mon Win, Zifang Wu, Than Naing Soe, Myat Thu Soe, Yaming Cao, Jetsumon Sattabongkot, Myat Phone Kyaw and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.1field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

13 authors at 6 institutions in 4 countries.

Yan Zhao *Department of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Pyae Linn Aung *Myanmar Health Network Organization, Yangon, Myanmar.
Shishao RuanDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Kyawt Mon Win *Department of Public Health, Ministry of Health, NayPyiTaw, Myanmar.
Zifang WuDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Than Naing SoeDepartment of Public Health, Ministry of Health, NayPyiTaw, Myanmar.
Myat Thu SoeMyanmar Health Network Organization, Yangon, Myanmar.
Yaming CaoDepartment of Immunology, College of Basic Medical Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
Jetsumon SattabongkotMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Myat Phone KyawMyanmar Health Network Organization, Yangon, Myanmar.
Liwang CuiDivision of Infectious Diseases and International Medicine, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, FL, 33612, USA.
Lynette MenezesDivision of Infectious Diseases and International Medicine, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, FL, 33612, USA. lmenezes@usf.edu.
Daniel M ParkerDepartment of Population Health and Disease Prevention, Department of Epidemiology, University of California, Irvine, USA. dparker1@hs.uci.edu.ORCID http://orcid.org/0000-0002-5352-7338
China Medical University · CNMahidol University · THMinistry of Health and Sports · MMMyanmar Oxford Clinical Research Unit · MMUniversity of South Florida · USCalifornia Health and Human Services Agency · US

Funding

Southeast Asia Malaria Research CenterU19AI089672 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI CUI, LIWANG · 2010 to 2023
$28.9M
NIAID NIH HHS U19 AI089672
6 · The paper itself

Abstract

backgroundMyanmar bears the heaviest malaria burden in the Greater Mekong Subregion (GMS). This study assessed the spatio-temporal dynamics and environmental predictors of Plasmodium falciparum and Plasmodium vivax malaria in Myanmar.

methodsMonthly reports of malaria cases at primary health centers during 2011-2017 were analyzed to describe malaria distribution across Myanmar at the township and state/region levels by spatial autocorrelation (Moran index) and spatio-temporal clustering. Negative binomial generalized additive models identified environmental predictors for falciparum and vivax malaria, respectively.

resultsFrom 2011 to 2017, there was an apparent reduction in malaria incidence in Myanmar. Malaria incidence peaked in June each year. There were significant spatial autocorrelation and clustering with extreme spatial heterogeneity in malaria cases and test positivity across the nation (P < 0.05). Areas with higher malaria incidence were concentrated along international borders. Primary clusters of P. falciparum persisted in western townships, while clusters of P. vivax shifted geographically over the study period. The primary cluster was detected from January 2011 to December 2013 and covered two states (Sagaing and Kachin). Annual malaria incidence was highest in townships with a mean elevation of 500‒600 m and a high variance in elevation (states with both high and low elevation). There was an apparent linear relationship between the mean normalized difference vegetative index and annual P. falciparum incidence (P < 0.05).

conclusionThe decreasing trends reflect the significant achievement of malaria control efforts in Myanmar. Prioritizing the allocation of resources to high-risk areas identified in this study can achieve effective disease control.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxHumansIncidenceMyanmarPlasmodium falciparumPlasmodium vivaxEnvironmental predictorMyanmarPlasmodium falciparumPlasmodium vivaxSpatial distributionSpatiotemporal clusteringTemporal clustering

Identifiers

PMID36709318
PMCPMC9883610
OpenAlexW4318318074

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.