文献类型：期刊文献

英文题名：Risk of Coronavirus Disease 2019 Transmission in Train Passengers: an Epidemiological and Modeling Study

作者：Hu, Maogui[1];Lin, Hui[2];Wang, Jinfeng[1];Xu, Chengdong[1];Tatem, Andrew J.[3];Meng, Bin[4];Zhang, Xin[5];Liu, Yifeng[2];Wang, Pengda[2];Wu, Guizhen[6];Xie, Haiyong[2,7];Lai, Shengjie[3,8]

第一作者：Hu, Maogui

通讯作者：Wang, JF[1]

机构：[1]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China;[2]China Acad Elect & Informat Technol, Beijing, Peoples R China;[3]Univ Southampton, Sch Geog & Environm Sci, WorldPop, Southampton, Hants, England;[4]Beijing Union Univ, Beijing, Peoples R China;[5]Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China;[6]Chinese Ctr Dis Control & Prevent, Beijing, Peoples R China;[7]Univ Sci & Technol China, Hefei, Peoples R China;[8]Fudan Univ, Sch Publ Hlth, Shanghai, Peoples R China

第一机构：Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.

年份：2021

卷号：72

期号：4

起止页码：604-610

外文期刊名：CLINICAL INFECTIOUS DISEASES

收录：;Scopus(收录号：2-s2.0-85102153662);WOS:【SCI-EXPANDED(收录号:WOS:000637028800010)】；

基金：This work was supported by the National Science and Technology Major Project of China (grant numbers 2017ZX10201302 and 2016ZX10004222-009), and the National Natural Science Foundation of China (grant numbers 41771434, 41531179, and 81773498).

语种：英文

外文关键词：COVID-19; SARS-CoV-2; train; co-travel time; spatial distance

摘要：Background. Train travel is a common mode of public transport across the globe; however, the risk of coronavirus disease 2019 (COVID-19) transmission among individual train passengers remains unclear. Methods. We quantified the transmission risk of COVID-19 on high-speed train passengers using data from 2334 index patients and 72 093 close contacts who had co-travel times of 0-8 hours from 19 December 2019 through 6 March 2020 in China. We analyzed the spatial and temporal distribution of COVID-19 transmission among train passengers to elucidate the associations between infection, spatial distance, and co-travel time. Results. The attack rate in train passengers on seats within a distance of 3 rows and 5 columns of the index patient varied from 0 to 10.3% (95% confidence interval [CI], 5.3%-19.0%), with a mean of 0.32% (95% CI, .29%-.37%). Passengers in seats on the same row (including the adjacent passengers to the index patient) as the index patient had an average attack rate of 1.5% (95% CI, 1.3%-1.8%), higher than that in other rows (0.14% [95% CI, .11%-.17%]), with a relative risk (RR) of 11.2 (95% CI, 8.6-14.6). Travelers adjacent to the index patient had the highest attack rate (3.5% [95% CI, 2.9%-4.3%]) of COVID-19 infection (RR, 18.0 [95% CI, 13.9-23.4]) among all seats. The attack rate decreased with increasing distance, but increased with increasing co-travel time. The attack rate increased on average by 0.15% (P = .005) per hour of co-travel; for passengers in adjacent seats, this increase was 1.3% (P = .008), the highest among all seats considered. Conclusions. COVID-19 has a high transmission risk among train passengers, but this risk shows significant differences with co-travel time and seat location. During disease outbreaks, when traveling on public transportation in confined spaces such as trains, measures should be taken to reduce the risk of transmission, including increasing seat distance, reducing passenger density, and use of personal hygiene protection.