Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid2208.150390
Personal Author:
Xu, Xin; Zhou, Guofa; Wang, Ying; Hu, Yue; Ruan, Yonghua; ... More +
Xu, Xin; Zhou, Guofa; Wang, Ying; Hu, Yue; Ruan, Yonghua; Fan, Qi; Yang, Zhaoqing; Yan, Guiyun; Cui, Liwang; Less -
Description:
To identify township-level high-risk foci of malaria transmission in Yunnan Province, China, along the international border, we retrospectively reviewed data collected in hospitals and clinics of 58 townships in 4 counties during 2011-2013. We analyzed spatiotemporal distribution, especially hot spots of confirmed malaria, using geographic information systems and Getis-Ord Gi*(d) cluster analysis. Malaria incidence, transmission seasonality, and Plasmodium vivax:P. falciparum ratio remained almost unchanged from 2011 to 2013, but heterogeneity in distribution increased. The number of townships with confirmed malaria decreased significantly during the 3 years; incidence became increasingly concentrated within a few townships. High-/low-incidence clusters of P. falciparum shifted in location and size every year, whereas the locations of high-incidence P. vivax townships remained unchanged. All high-incidence clusters were located along the China-Myanmar border. Because of increasing heterogeneity in malaria distribution, microgeographic analysis of malaria transmission hot spots provided useful information for designing targeted malaria intervention during the elimination phase.
Subject:
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Disease Eradication/history*
Female
History, 21st Century
Humans
Malaria
Male
Plasmodium
Research
Risk Factors
Seasons
Time Factors

Source:
Emerg Infect Dis. 22(8):1363-1370.;
Pubmed ID:
27433877
Pubmed Central ID:
PMC4982164
Document Type:
Journal Article;
Place as Subject:
China; Myanmar;
China; Myanmar; Less -
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
[+]
urn:sha256:143c43b00f818287821842f2a1f10679129a2f11406fa321566ac72ad1cac63d
File Type:

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