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Distribution and risk factors of 2009 pandemic influenza A (H1N1) in mainland China.


ABSTRACT: Data from all reported cases of 2009 pandemic influenza A (H1N1) were obtained from the China Information System for Disease Control and Prevention. The spatiotemporal distribution patterns of cases were characterized through spatial analysis. The impact of travel-related risk factors on invasion of the disease was analyzed using survival analysis, and climatic factors related to local transmission were identified using multilevel Poisson regression, both at the county level. The results showed that the epidemic spanned a large geographic area, with the most affected areas being in western China. Significant differences in incidence were found among age groups, with incidences peaking in school-age children. Overall, the epidemic spread from southeast to northwest. Proximity to airports and being intersected by national highways or freeways but not railways were variables associated with the presence of the disease in a county. Lower temperature and lower relative humidity were the climatic factors facilitating local transmission after correction for the effects of school summer vacation and public holidays, as well as population density and the density of medical facilities. These findings indicate that interventions focused on domestic travel, population density, and climatic factors could play a role in mitigating the public health impact of future influenza pandemics.

SUBMITTER: Fang LQ 

PROVIDER: S-EPMC3339311 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

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Distribution and risk factors of 2009 pandemic influenza A (H1N1) in mainland China.

Fang Li-Qun LQ   Wang Li-Ping LP   de Vlas Sake J SJ   Liang Song S   Tong Shi-Lu SL   Li Yan-Li YL   Li Ya-Pin YP   Qian Quan Q   Yang Hong H   Zhou Mai-Geng MG   Wang Xiao-Feng XF   Richardus Jan Hendrik JH   Ma Jia-Qi JQ   Cao Wu-Chun WC  

American journal of epidemiology 20120405 9


Data from all reported cases of 2009 pandemic influenza A (H1N1) were obtained from the China Information System for Disease Control and Prevention. The spatiotemporal distribution patterns of cases were characterized through spatial analysis. The impact of travel-related risk factors on invasion of the disease was analyzed using survival analysis, and climatic factors related to local transmission were identified using multilevel Poisson regression, both at the county level. The results showed  ...[more]

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