Spatial analysis of malaria in Anhui province, China

Abstract 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 resou...

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Published in:Malaria Journal
Main Authors: Wang Jianjun, Hui Fengming, Jiang Jiafu, Xu Youfu, Ma Jiaqi, Fang Liqun, Wang Liping, Zhang Wenyi, Liang Song, Yang Hong, Cao Wuchun
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2008
Subjects:
Online Access:https://doi.org/10.1186/1475-2875-7-206
https://doaj.org/article/ee3fbd31da9a4a3eab6fc06608eb5b72
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spelling ftdoajarticles:oai:doaj.org/article:ee3fbd31da9a4a3eab6fc06608eb5b72 2023-05-15T15:07:16+02:00 Spatial analysis of malaria in Anhui province, China Wang Jianjun Hui Fengming Jiang Jiafu Xu Youfu Ma Jiaqi Fang Liqun Wang Liping Zhang Wenyi Liang Song Yang Hong Cao Wuchun 2008-10-01T00:00:00Z https://doi.org/10.1186/1475-2875-7-206 https://doaj.org/article/ee3fbd31da9a4a3eab6fc06608eb5b72 EN eng BMC http://www.malariajournal.com/content/7/1/206 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-7-206 1475-2875 https://doaj.org/article/ee3fbd31da9a4a3eab6fc06608eb5b72 Malaria Journal, Vol 7, Iss 1, p 206 (2008) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2008 ftdoajarticles https://doi.org/10.1186/1475-2875-7-206 2022-12-30T23:05:22Z Abstract 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 7 1 206
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Wang Jianjun
Hui Fengming
Jiang Jiafu
Xu Youfu
Ma Jiaqi
Fang Liqun
Wang Liping
Zhang Wenyi
Liang Song
Yang Hong
Cao Wuchun
Spatial analysis of malaria in Anhui province, China
topic_facet Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
description Abstract 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.
format Article in Journal/Newspaper
author Wang Jianjun
Hui Fengming
Jiang Jiafu
Xu Youfu
Ma Jiaqi
Fang Liqun
Wang Liping
Zhang Wenyi
Liang Song
Yang Hong
Cao Wuchun
author_facet Wang Jianjun
Hui Fengming
Jiang Jiafu
Xu Youfu
Ma Jiaqi
Fang Liqun
Wang Liping
Zhang Wenyi
Liang Song
Yang Hong
Cao Wuchun
author_sort Wang Jianjun
title Spatial analysis of malaria in Anhui province, China
title_short 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_sort spatial analysis of malaria in anhui province, china
publisher BMC
publishDate 2008
url https://doi.org/10.1186/1475-2875-7-206
https://doaj.org/article/ee3fbd31da9a4a3eab6fc06608eb5b72
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 7, Iss 1, p 206 (2008)
op_relation http://www.malariajournal.com/content/7/1/206
https://doaj.org/toc/1475-2875
doi:10.1186/1475-2875-7-206
1475-2875
https://doaj.org/article/ee3fbd31da9a4a3eab6fc06608eb5b72
op_doi https://doi.org/10.1186/1475-2875-7-206
container_title Malaria Journal
container_volume 7
container_issue 1
container_start_page 206
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