Chong Ka Chun, Goggins William, Zee Benny Chung Ying, Wang Maggie Haitian
Division of Biostatistics, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Int J Environ Res Public Health. 2015 Jan 28;12(2):1560-76. doi: 10.3390/ijerph120201560.
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.
与温带地区相比,亚热带和热带地区对流感感染季节性变化的了解较为缺乏。关于病毒活动的信息不足增加了预测疾病负担的难度,从而阻碍了官方的防范工作。在此,我们确定了驱动亚热带城市香港流感感染季节性变化的潜在气象因素。我们将2002年至2009年的气象数据和流感死亡率数据拟合到易感-感染-康复模型中。结果显示,气温是季节性模式的常见显著驱动因素,寒冷天气与大多数流感流行期间传播强度的增加相关。除2004年外,包含显著气象因素的拟合模型除零模型外还能解释超过10%的方差。降雨也被发现是季节性流感的一个显著驱动因素,尽管结果不太稳健。所确定的气象指标可提醒官员针对流感流行采取适当的控制措施,如在寒冷季节来临前加强疫苗接种活动。需要进一步研究来充分证明这些关联。