Evidence map›Paper›PMID 27507163›Full record

ArticleInfectious diseases of poverty2016

Malaria control along China-Myanmar Border during 2007-2013: an integrated impact evaluation.

Jian-Wei Xu, Yong Li, Heng-Lin Yang, Jun Zhang, Zai-Xing Zhang, Ya-Ming Yang, Hong-Ning Zhou, Joshua Havumaki, Hua-Xian Li, Hui Liu and 10 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Jian-Wei XuYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China. xjw426@163.com.
Yong LiYunnan Provincial Health and Family Planning Commission, Kunming, 650200, People's Republic of China.
Heng-Lin YangYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Jun ZhangYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Zai-Xing ZhangWorld Health Organization Regional Office for the Western Pacific, P.O. Box 2932, 1000, Manila, Philippines.
Ya-Ming YangYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Hong-Ning ZhouYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Joshua HavumakiFoundation for Innovative New Diagnostics, 1216, Cointrin, Geneva, Switzerland.
Hua-Xian LiYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Hui LiuYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Hua ZhouYunnan Provincial Health and Family Planning Commission, Kunming, 650200, People's Republic of China.
Xin-Yu XieYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Jia-Xiang DongYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Yue ZhangYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Xiao-Ying SunYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Bo LiYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Jia-Yin LiYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Yang-Hui TianYunnan Office of Health Poverty Action, Kunming, 650041, People's Republic of China.
Pi-Yu WangYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.
Ben-Fu LiYunnan Institute of Parasitic Diseases, Yunnan Provincial Center of Malaria Research, Yunnan Provincial Collaborative Innovation Center for Public Health and Disease Prevention and Control, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Puer, 665000, China.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundImplementing effective interventions remain a lot of difficulties along all border regions. The emergence of artemisinin resistance of Plasmodium falciparum strains in the Greater Mekong Subregion is a matter of great concern. China has effectively controlled cross-border transmission of malaria and artemisinin resistance of P. falciparum along the China-Myanmar border.

methodsA combined quantitative and qualitative study was used to collect data, and then an integrated impact evaluation was conducted to malaria control along the China-Myanmar border during 2007-2013.

resultsThe parasite prevalence rate (PPR) in the five special regions of Myanmar was decreased from 13.6 % in March 2008 to 1.5 % in November 2013. Compared with the baseline (PPR in March 2008), the risk ratio was only 0.11 [95 % confidence interval (CI), 0.09-0. 14) in November 2013, which is equal to an 89 % reduction in the malaria burden. Annual parasite incidence (API) across 19 Chinese border counties was reduced from 19.6 per 10 000 person-years in 2006 to 0.9 per 10 000 person-years in 2013. Compared with the baseline (API in 2006), the API rate ratio was only 0.05(95 % CI, 0.04-0.05) in 2013, which equates to a reduction of the malaria burden by 95.0 %. Meanwhile, the health service system was strengthened and health inequity of marginalized populations reduced along the international border.

conclusionThe effective collaboration between China, Myanmar and the international non-governmental organization promptly carried out the core interventions through simplified processes. The integrated approaches dramatically decreased malaria burden of Chinese-Myanmar border.

Indexed as

AntimalarialsChinaHumansIncidenceInternational CooperationMalaria, FalciparumMyanmarPlasmodium falciparumPrevalenceAntimalarialsArtemisinin resistanceBorder malariaChina-Myanmar borderControl

Identifiers

PMID27507163
PMCPMC4979141

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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.