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Spatial analysis of malaria in Anhui province, China

BACKGROUND: Malaria has re-emerged in Anhui Province, China, and this province was the most seriously affected by malaria during 2005–2006. It is necessary to understand the spatial distribution of malaria cases and to identify highly endemic areas for future public health planning and resource allo...

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Autores principales: Zhang, Wenyi, Wang, Liping, Fang, Liqun, Ma, Jiaqi, Xu, Youfu, Jiang, Jiafu, Hui, Fengming, Wang, Jianjun, Liang, Song, Yang, Hong, Cao, Wuchun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572066/
https://www.ncbi.nlm.nih.gov/pubmed/18847489
http://dx.doi.org/10.1186/1475-2875-7-206
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author Zhang, Wenyi
Wang, Liping
Fang, Liqun
Ma, Jiaqi
Xu, Youfu
Jiang, Jiafu
Hui, Fengming
Wang, Jianjun
Liang, Song
Yang, Hong
Cao, Wuchun
author_facet Zhang, Wenyi
Wang, Liping
Fang, Liqun
Ma, Jiaqi
Xu, Youfu
Jiang, Jiafu
Hui, Fengming
Wang, Jianjun
Liang, Song
Yang, Hong
Cao, Wuchun
author_sort Zhang, Wenyi
collection PubMed
description BACKGROUND: Malaria has re-emerged in Anhui Province, China, and this province was the most seriously affected by malaria during 2005–2006. It is necessary to understand the spatial distribution of malaria cases and to identify highly endemic areas for future public health planning and resource allocation in Anhui Province. METHODS: The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of malaria incidence at the county level. RESULTS: The spatial distribution of malaria cases in Anhui Province from 2000 to 2006 was mapped at the county level to show crude incidence, excess hazard and spatial smoothed incidence. Spatial cluster analysis suggested 10 and 24 counties were at increased risk for malaria (P < 0.001) with the maximum spatial cluster sizes at < 50% and < 25% of the total population, respectively. CONCLUSION: The application of GIS, together with spatial statistical techniques, provide a means to quantify explicit malaria risks and to further identify environmental factors responsible for the re-emerged malaria risks. Future public health planning and resource allocation in Anhui Province should be focused on the maximum spatial cluster region.
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spelling pubmed-25720662008-10-24 Spatial analysis of malaria in Anhui province, China Zhang, Wenyi Wang, Liping Fang, Liqun Ma, Jiaqi Xu, Youfu Jiang, Jiafu Hui, Fengming Wang, Jianjun Liang, Song Yang, Hong Cao, Wuchun Malar J Research BACKGROUND: Malaria has re-emerged in Anhui Province, China, and this province was the most seriously affected by malaria during 2005–2006. It is necessary to understand the spatial distribution of malaria cases and to identify highly endemic areas for future public health planning and resource allocation in Anhui Province. METHODS: The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of malaria incidence at the county level. RESULTS: The spatial distribution of malaria cases in Anhui Province from 2000 to 2006 was mapped at the county level to show crude incidence, excess hazard and spatial smoothed incidence. Spatial cluster analysis suggested 10 and 24 counties were at increased risk for malaria (P < 0.001) with the maximum spatial cluster sizes at < 50% and < 25% of the total population, respectively. CONCLUSION: The application of GIS, together with spatial statistical techniques, provide a means to quantify explicit malaria risks and to further identify environmental factors responsible for the re-emerged malaria risks. Future public health planning and resource allocation in Anhui Province should be focused on the maximum spatial cluster region. BioMed Central 2008-10-10 /pmc/articles/PMC2572066/ /pubmed/18847489 http://dx.doi.org/10.1186/1475-2875-7-206 Text en Copyright © 2008 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Zhang, Wenyi
Wang, Liping
Fang, Liqun
Ma, Jiaqi
Xu, Youfu
Jiang, Jiafu
Hui, Fengming
Wang, Jianjun
Liang, Song
Yang, Hong
Cao, Wuchun
Spatial analysis of malaria in Anhui province, China
title Spatial analysis of malaria in Anhui province, China
title_full Spatial analysis of malaria in Anhui province, China
title_fullStr Spatial analysis of malaria in Anhui province, China
title_full_unstemmed Spatial analysis of malaria in Anhui province, China
title_short Spatial analysis of malaria in Anhui province, China
title_sort spatial analysis of malaria in anhui province, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572066/
https://www.ncbi.nlm.nih.gov/pubmed/18847489
http://dx.doi.org/10.1186/1475-2875-7-206
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