School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People's Republic of China.
School of Public Health, Zhejiang University, Hangzhou, People's Republic of China.
Emerg Microbes Infect. 2020 Dec;9(1):988-990. doi: 10.1080/22221751.2020.1760143.
Since Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across China (R = 0.85, < 0.001), especially cities in Hubei (R = 0.88, < 0.001). Removing the travel restriction would have increased 118% (91%-172%) of the overall cases for the coming week, and a travel ban taken three days or a week earlier would have reduced 47% (26%-58%) and 83% (78%-89%) of the early cases. We would expect a 61% (48%-92%) increase of overall cumulative cases without any restrictions on returning residents, and 11% (8%-16%) increase if the travel ban stays in place for Hubei. Cities from Yangtze River Delta, Pearl River Delta, and Capital Economic Circle regions are at higher risk.
自 2019 年 12 月以来,中国发生了由新型冠状病毒(2019-nCoV)引发的疫情。1 月 23 日,中国对湖北省武汉市实施旅行禁令,以减缓疫情蔓延。我们发现,武汉人口流入与中国其他城市确诊病例之间存在显著正相关关系(R=0.85,P<0.001),尤其是湖北省内城市(R=0.88,P<0.001)。取消旅行限制将使未来一周的总病例数增加 118%(91%-172%),而提前三天或一周实施旅行禁令将减少 47%(26%-58%)和 83%(78%-89%)的早期病例。如果不对返乡居民实施任何限制,我们预计总累计病例将增加 61%(48%-92%),如果禁令继续针对湖北省实施,累计病例将增加 11%(8%-16%)。长三角、珠三角和首都经济圈地区的城市风险更高。