The Impact of Urbanization and Human Mobility on Seasonal Influenza in Northern China

被引:4
|
作者
Yang, Jiao [1 ]
Guo, Xudong [2 ]
Zhang, Ting [1 ]
Wang, Qing [1 ]
Zhang, Xingxing [1 ]
Yang, Jin [1 ]
Lai, Shengjie [3 ]
Feng, Luzhao [1 ]
Yang, Weizhong [1 ]
机构
[1] Chinese Acad Med Sci CAMS, Peking Union Med Coll PUMC, Sch Populat Med & Publ Hlth, Beijing 100730, Peoples R China
[2] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
[3] Univ Southampton, Sch Geog & Environm Sci, WorldPop, Southampton SO171BJ, England
来源
VIRUSES-BASEL | 2022年 / 14卷 / 11期
关键词
seasonal influenza; human mobility; driver; China; SCHOOL CLOSURES; AIRLINE TRAVEL; TRANSMISSION; SPREAD; VIRUS; HUMIDITY;
D O I
10.3390/v14112563
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The intensity of influenza epidemics varies significantly from year to year among regions with similar climatic conditions and populations. However, the underlying mechanisms of the temporal and spatial variations remain unclear. We investigated the impact of urbanization and public transportation size on influenza activity. We used 6-year weekly provincial-level surveillance data of influenza-like disease incidence (ILI) and viral activity in northern China. We derived the transmission potential of influenza for each epidemic season using the susceptible-exposed-infectious-removed-susceptible (SEIRS) model and estimated the transmissibility in the peak period via the instantaneous reproduction number (R-t). Public transport was found to explain approximately 28% of the variance in the seasonal transmission potential. Urbanization and public transportation size explained approximately 10% and 21% of the variance in maximum R-t in the peak period, respectively. For the mean R-t during the peak period, urbanization and public transportation accounted for 9% and 16% of the variance in R-t, respectively. Our results indicated that the differences in the intensity of influenza epidemics among the northern provinces of China were partially driven by urbanization and public transport size. These findings are beneficial for predicting influenza intensity and developing preparedness strategies for the early stages of epidemics.
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页数:11
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