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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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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. |
format | Text |
id | pubmed-2194774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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