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Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system.
Geospat Health ; 8(2): 429-35, 2014 May.
Article in En | MEDLINE | ID: mdl-24893019
ABSTRACT
Influenza poses a constant, heavy burden on society. Recent research has focused on ecological factors associated with influenza incidence and has also studied influenza with respect to its geographic spread at different scales. This research explores the temporal and spatial parameters of influenza and identifies factors influencing its transmission. A spatial autocorrelation analysis, a spatial-temporal cluster analysis and a spatial regression analysis of influenza rates, carried out in Jiangsu province from 2004 to 2011, found that influenza rates to be spatially dependent in 2004, 2005, 2006 and 2008. South-western districts consistently revealed hotspots of high-incidence influenza. The regression analysis indicates that railways, rivers and lakes are important predictive environmental variables for influenza risk. A better understanding of the epidemic pattern and ecological factors associated with pandemic influenza should benefit public health officials with respect to prevention and controlling measures during future epidemics.
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Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Influenza, Human Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Geospat Health Year: 2014 Document type: Article
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Influenza, Human Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Geospat Health Year: 2014 Document type: Article