期刊论文详细信息
BMC Infectious Diseases
The influence of climatic conditions on the transmission dynamics of the 2009 A/H1N1 influenza pandemic in Chile
Andrea Olea2  Jose E Villarroel2  Monica Chiu2  Claudia Villarroel6  Mauricio Lima3  Mark A Miller5  Lone Simonsen1  Viviana Sotomayor2  Rodrigo Fuentes2  Cécile Viboud5  Sherry Towers4  Gerardo Chowell5 
[1] Department of Global Health, School of Public Health and Health Services, George Washington University, Washington DC, USA;Department of Epidemiology, Ministerio de Salud, Santiago, Chile;Center for Advanced Studies in Ecology and Biodiversity, Pontificia Universidad Católica de Chile, Santiago, Chile;Department of Mathematics, Purdue University, West Lafayette, IN, USA;Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA;Applied Meteorology, Dirección Meteorológica de Chile, Santiago, Chile
关键词: Chile;    Temperature;    Climatological variables, Specific humidity;    School cycles;    Spatial heterogeneity;    Reproduction number;    Influenza-like-illness;    Acute respiratory infection;    A/H1N1 influenza pandemic;   
Others  :  1159592
DOI  :  10.1186/1471-2334-12-298
 received in 2012-04-17, accepted in 2012-11-05,  发布年份 2012
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【 摘 要 】

Background

The role of demographic factors, climatic conditions, school cycles, and connectivity patterns in shaping the spatio-temporal dynamics of pandemic influenza is not clearly understood. Here we analyzed the spatial, age and temporal evolution of the 2009 A/H1N1 influenza pandemic in Chile, a southern hemisphere country covering a long and narrow strip comprising latitudes 17°S to 56°S.

Methods

We analyzed the dissemination patterns of the 2009 A/H1N1 pandemic across 15 regions of Chile based on daily hospitalizations for severe acute respiratory disease and laboratory confirmed A/H1N1 influenza infection from 01-May to 31-December, 2009. We explored the association between timing of pandemic onset and peak pandemic activity and several geographical and demographic indicators, school vacations, climatic factors, and international passengers. We also estimated the reproduction number (R) based on the growth rate of the exponential pandemic phase by date of symptoms onset, estimated using maximum likelihood methods.

Results

While earlier pandemic onset was associated with larger population size, there was no association with connectivity, demographic, school or climatic factors. In contrast, there was a latitudinal gradient in peak pandemic timing, representing a 16-39-day lag in disease activity from the southern regions relative to the northernmost region (P < 0.001). Geographical differences in latitude of Chilean regions, maximum temperature and specific humidity explained 68.5% of the variability in peak timing (P = 0.01). In addition, there was a decreasing gradient in reproduction number from south to north Chile (P < 0.0001). The regional mean R estimates were 1.6-2.0, 1.3-1.5, and 1.2-1.3 for southern, central and northern regions, respectively, which were not affected by the winter vacation period.

Conclusions

There was a lag in the period of most intense 2009 pandemic influenza activity following a South to North traveling pattern across regions of Chile, significantly associated with geographical differences in minimum temperature and specific humidity. The latitudinal gradient in timing of pandemic activity was accompanied by a gradient in reproduction number (P < 0.0001). Intensified surveillance strategies in colder and drier southern regions could lead to earlier detection of pandemic influenza viruses and improved control outcomes.

【 授权许可】

   
2012 Chowell et al.; licensee BioMed Central Ltd.

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