Literature DB >> 28829728

Spatiotemporal Analysis of the Malaria Epidemic in Mainland China, 2004-2014.

Qiang Huang1, Lin Hu1, Qi-Bin Liao1, Jing Xia1, Qian-Ru Wang2, Hong-Juan Peng1.   

Abstract

The purpose of this study is to characterize spatiotemporal heterogeneities in malaria distribution at a provincial level and investigate the association between malaria incidence and climate factors from 2004 to 2014 in China to inform current malaria control efforts. National malaria incidence peaked (4.6/100,000) in 2006 and decreased to a very low level (0.21/100,000) in 2014, and the proportion of imported cases increased from 16.2% in 2004 to 98.2% in 2014. Statistical analyses of global and local spatial autocorrelations and purely spatial scan statistics revealed that malaria was localized in Hainan, Anhui, and Yunnan during 2004-2009 and then gradually shifted and clustered in Yunnan after 2010. Purely temporal clusters shortened to less than 5 months during 2012-2014. The two most likely clusters detected using spatiotemporal analysis occurred in Anhui between July 2005 and November 2007 and Yunnan between January 2010 and June 2012. Correlation coefficients for the association between malaria incidence and climate factors sharply decreased after 2010, and there were zero-month lag effects for climate factors during 2010-2014. Overall, the spatiotemporal distribution of malaria in China changed from relatively scattered (2004-2009) to relatively clustered (2010-2014). As the proportion of imported cases increased, the effect of climate factors on malaria incidence has gradually become weaker since 2011. Therefore, new warning systems should be applied to monitor resurgence and outbreaks of malaria in mainland China, and quarantine at borders should be reinforced to control the increasingly trend of imported malaria cases.

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Year:  2017        PMID: 28829728      PMCID: PMC5544075          DOI: 10.4269/ajtmh.16-0711

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  32 in total

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Journal:  Am J Trop Med Hyg       Date:  2011-09       Impact factor: 2.345

2.  Environmental factors associated with larval habitats of anopheline mosquitoes (Diptera: Culicidae) in irrigation and major drainage areas in the middle course of the Rift Valley, central Ethiopia.

Authors:  Oljira Kenea; Meshesha Balkew; Teshome Gebre-Michael
Journal:  J Vector Borne Dis       Date:  2011-06       Impact factor: 1.688

3.  Temporal correlation analysis between malaria and meteorological factors in Motuo County, Tibet.

Authors:  Fang Huang; Shuisen Zhou; Shaosen Zhang; Hongju Wang; Linhua Tang
Journal:  Malar J       Date:  2011-03-04       Impact factor: 2.979

4.  Spatial and temporal structure of typhoid outbreaks in Washington, D.C., 1906-1909: evaluating local clustering with the Gi* statistic.

Authors:  Sarah E Hinman; Jason K Blackburn; Andrew Curtis
Journal:  Int J Health Geogr       Date:  2006-03-27       Impact factor: 3.918

5.  Spatio-temporal analysis of the role of climate in inter-annual variation of malaria incidence in Zimbabwe.

Authors:  Musawenkoi L H Mabaso; Penelope Vounatsou; Stanely Midzi; Joaquim Da Silva; Thomas Smith
Journal:  Int J Health Geogr       Date:  2006-05-15       Impact factor: 3.918

6.  Establishing a China malaria diagnosis reference laboratory network for malaria elimination.

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Journal:  Malar J       Date:  2015-01-28       Impact factor: 2.979

7.  Striding Toward Malaria Elimination in China.

Authors:  Michelle S Hsiang; Roly D Gosling
Journal:  Am J Trop Med Hyg       Date:  2015-06-15       Impact factor: 2.345

8.  Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China.

Authors:  Ji-Xia Huang; Zhi-Gui Xia; Shui-Sen Zhou; Xiao-Jun Pu; Mao-Gui Hu; Da-Cang Huang; Zhou-Peng Ren; Shao-Sen Zhang; Man-Ni Yang; Duo-Quan Wang; Jin-Feng Wang
Journal:  Parasit Vectors       Date:  2015-03-07       Impact factor: 3.876

9.  An agent-based model driven by tropical rainfall to understand the spatio-temporal heterogeneity of a chikungunya outbreak.

Authors:  Carlos J Dommar; Rachel Lowe; Marguerite Robinson; Xavier Rodó
Journal:  Acta Trop       Date:  2013-08-16       Impact factor: 3.112

10.  Monitoring Plasmodium vivax chloroquine sensitivity along China-Myanmar border of Yunnan Province, China during 2008-2013.

Authors:  Hui Liu; Heng-lin Yang; Lin-hua Tang; Xing-liang Li; Fang Huang; Jia-zhi Wang; Chun-fu Li; Heng-ye Wang; Ren-hua Nie; Xiang-rui Guo; Ying-xue Lin; Mei Li; Jian-Wei Xu
Journal:  Malar J       Date:  2014-09-15       Impact factor: 2.979

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  2 in total

1.  Risk factors for the accuracy of the initial diagnosis of malaria cases in China: a decision-tree modelling approach.

Authors:  Gang Li; Donglan Zhang; Zhuo Chen; Da Feng; Xinyan Cai; Xiaoyu Chen; Shangfeng Tang; Zhanchun Feng
Journal:  Malar J       Date:  2022-01-07       Impact factor: 2.979

2.  Malaria in China: a longitudinal population-based surveillance study.

Authors:  Cheng Ding; Chenyang Huang; Yuqing Zhou; Xiaofang Fu; Xiaoxiao Liu; Jie Wu; Min Deng; Lanjuan Li; Shigui Yang
Journal:  Epidemiol Infect       Date:  2020-02-24       Impact factor: 2.451

  2 in total

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