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Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Liaoning Province, China, and this province was the most serious area affected by HFRS during 2004 to 2005. In this study, we conducted a spatial analysis of HFRS cases with the objective to determine the distribution of HFRS cas...

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Autores principales: Lin, Hualiang, Liu, Qiyong, Guo, Junqiao, Zhang, Jibo, Wang, Jinfeng, Chen, Huaxin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194774/
https://www.ncbi.nlm.nih.gov/pubmed/17697362
http://dx.doi.org/10.1186/1471-2458-7-207
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author Lin, Hualiang
Liu, Qiyong
Guo, Junqiao
Zhang, Jibo
Wang, Jinfeng
Chen, Huaxin
author_facet Lin, Hualiang
Liu, Qiyong
Guo, Junqiao
Zhang, Jibo
Wang, Jinfeng
Chen, Huaxin
author_sort Lin, Hualiang
collection PubMed
description BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Liaoning Province, China, and this province was the most serious area affected by HFRS during 2004 to 2005. In this study, we conducted a spatial analysis of HFRS cases with the objective to determine the distribution of HFRS cases and to identify key areas for future public health planning and resource allocation in Liaoning Province. METHODS: The annual average incidence at the county level was calculated using HFRS cases reported between 2000 and 2005 in Liaoning Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of HFRS incidence at the county level, and the difference of relative humidity and forestation between the cluster areas and non-cluster areas was analyzed. RESULTS: Spatial distribution of HFRS cases in Liaoning Province from 2000 to 2005 was mapped at the county level to show crude incidence, excess hazard, and spatial smoothed incidence. Spatial cluster analysis suggested 16 and 41 counties were at increased risk for HFRS (p < 0.01) with the maximum spatial cluster sizes at ≤ 50% and ≤ 30% of the total population, respectively, and the analysis showed relative humidity and forestation in the cluster areas were significantly higher than in other areas. CONCLUSION: Some clustering of HFRS cases in Liaoning Province may be etiologically linked. There was strong evidence some HFRS cases in Liaoning Province formed clusters, but the mechanism underlying it remains unknown. In this study we found the clustering was consistent with the relative humidity and amount of forestation, and showed data indicating there may be some significant relationships.
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spelling pubmed-21947742008-01-13 Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005 Lin, Hualiang Liu, Qiyong Guo, Junqiao Zhang, Jibo Wang, Jinfeng Chen, Huaxin BMC Public Health Research Article BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Liaoning Province, China, and this province was the most serious area affected by HFRS during 2004 to 2005. In this study, we conducted a spatial analysis of HFRS cases with the objective to determine the distribution of HFRS cases and to identify key areas for future public health planning and resource allocation in Liaoning Province. METHODS: The annual average incidence at the county level was calculated using HFRS cases reported between 2000 and 2005 in Liaoning Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of HFRS incidence at the county level, and the difference of relative humidity and forestation between the cluster areas and non-cluster areas was analyzed. RESULTS: Spatial distribution of HFRS cases in Liaoning Province from 2000 to 2005 was mapped at the county level to show crude incidence, excess hazard, and spatial smoothed incidence. Spatial cluster analysis suggested 16 and 41 counties were at increased risk for HFRS (p < 0.01) with the maximum spatial cluster sizes at ≤ 50% and ≤ 30% of the total population, respectively, and the analysis showed relative humidity and forestation in the cluster areas were significantly higher than in other areas. CONCLUSION: Some clustering of HFRS cases in Liaoning Province may be etiologically linked. There was strong evidence some HFRS cases in Liaoning Province formed clusters, but the mechanism underlying it remains unknown. In this study we found the clustering was consistent with the relative humidity and amount of forestation, and showed data indicating there may be some significant relationships. BioMed Central 2007-08-15 /pmc/articles/PMC2194774/ /pubmed/17697362 http://dx.doi.org/10.1186/1471-2458-7-207 Text en Copyright © 2007 Lin 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 Article
Lin, Hualiang
Liu, Qiyong
Guo, Junqiao
Zhang, Jibo
Wang, Jinfeng
Chen, Huaxin
Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title_full Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title_fullStr Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title_full_unstemmed Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title_short Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005
title_sort analysis of the geographic distribution of hfrs in liaoning province between 2000 and 2005
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194774/
https://www.ncbi.nlm.nih.gov/pubmed/17697362
http://dx.doi.org/10.1186/1471-2458-7-207
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