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Identifying Meteorological Drivers for the Seasonal Variations of Influenza Infections in a Subtropical City – Hong Kong

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Publisher MDPI
Date 2015 Jan 31
PMID 25635916
Citations 20
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Abstract

Compared with temperate areas, the understanding of seasonal variations of influenza infections is lacking in subtropical and tropical regions. Insufficient information about viral activity increases the difficulty of forecasting the disease burden and thus hampers official preparation efforts. Here we identified potential meteorological factors that drove the seasonal variations in influenza infections in a subtropical city, Hong Kong. We fitted the meteorological data and influenza mortality data from 2002 to 2009 in a Susceptible-Infected-Recovered model. From the results, air temperature was a common significant driver of seasonal patterns and cold temperature was associated with an increase in transmission intensity for most of the influenza epidemics. Except 2004, the fitted models with significant meteorological factors could account for more than 10% of the variance in additional to the null model. Rainfall was also found to be a significant driver of seasonal influenza, although results were less robust. The identified meteorological indicators could alert officials to take appropriate control measures for influenza epidemics, such as enhancing vaccination activities before cold seasons. Further studies are required to fully justify the associations.

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References
1.
Weber T, Stilianakis N . A note on the inactivation of influenza A viruses by solar radiation, relative humidity and temperature. Photochem Photobiol. 2008; 84(6):1601-2. DOI: 10.1111/j.1751-1097.2008.00416.x. View

2.
Chan P, Mok H, Lee T, Chu I, Lam W, Sung J . Seasonal influenza activity in Hong Kong and its association with meteorological variations. J Med Virol. 2009; 81(10):1797-806. DOI: 10.1002/jmv.21551. View

3.
Li F, Choi B, Sly T, Pak A . Finding the real case-fatality rate of H5N1 avian influenza. J Epidemiol Community Health. 2008; 62(6):555-9. DOI: 10.1136/jech.2007.064030. View

4.
Cowling B, Lau E, Lam C, Cheng C, Kovar J, Chan K . Effects of school closures, 2008 winter influenza season, Hong Kong. Emerg Infect Dis. 2008; 14(10):1660-2. PMC: 2609897. DOI: 10.3201/eid1410.080646. View

5.
Shaman J, Jeon C, Giovannucci E, Lipsitch M . Shortcomings of vitamin D-based model simulations of seasonal influenza. PLoS One. 2011; 6(6):e20743. PMC: 3108988. DOI: 10.1371/journal.pone.0020743. View