Limits...
Spatial analysis of malaria in Anhui province, China.

Zhang W, Wang L, Fang L, Ma J, Xu Y, Jiang J, Hui F, Wang J, Liang S, Yang H, Cao W - Malar. J. (2008)

Bottom Line: The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province.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.

View Article: PubMed Central - HTML - PubMed

Affiliation: Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, PR China. zwy0419@126.com

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.

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Annualized average incidence of malaria in Anhui province, China, 2000–2006.
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Figure 1: Annualized average incidence of malaria in Anhui province, China, 2000–2006.

Mentions: In Anhui Province, a total of 77,674 malaria cases had been reported from 2000 to 2006. Annualized average incidence at the county-level ranged from 0 to 138.37 per 100,000. Among the total 78 counties and cities in Anhui Province, one county was non-endemic (covering 1.89% of total land and occupied by 0.95% of the total population), 52 counties and cities were low-endemic (covering 66.62% of total land and occupied by 61.40% of the total population), 14 counties and cities were medium-endemic (covering 17.57% of total land and occupied by 17.96% of the total population), and 11 counties and cities were high-endemic (covering 13.92% of total land and occupied by 19.69% of the total population). Most of the cases in Anhui Province occurred on low-lying lands along the Huai River. The four type areas were displayed in the thematic map as showed in Figure 1.


Spatial analysis of malaria in Anhui province, China.

Zhang W, Wang L, Fang L, Ma J, Xu Y, Jiang J, Hui F, Wang J, Liang S, Yang H, Cao W - Malar. J. (2008)

Annualized average incidence of malaria in Anhui province, China, 2000–2006.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2572066&req=5

Figure 1: Annualized average incidence of malaria in Anhui province, China, 2000–2006.
Mentions: In Anhui Province, a total of 77,674 malaria cases had been reported from 2000 to 2006. Annualized average incidence at the county-level ranged from 0 to 138.37 per 100,000. Among the total 78 counties and cities in Anhui Province, one county was non-endemic (covering 1.89% of total land and occupied by 0.95% of the total population), 52 counties and cities were low-endemic (covering 66.62% of total land and occupied by 61.40% of the total population), 14 counties and cities were medium-endemic (covering 17.57% of total land and occupied by 17.96% of the total population), and 11 counties and cities were high-endemic (covering 13.92% of total land and occupied by 19.69% of the total population). Most of the cases in Anhui Province occurred on low-lying lands along the Huai River. The four type areas were displayed in the thematic map as showed in Figure 1.

Bottom Line: The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province.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.

View Article: PubMed Central - HTML - PubMed

Affiliation: Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, PR China. zwy0419@126.com

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.

Show MeSH
Related in: MedlinePlus