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Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study.
Int J Environ Res Public Health. 2020 03 04; 17(5)IJ

Abstract

After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013-2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan's migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan's migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan's total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan's migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3-4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan's migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions.

Authors+Show Affiliations

School of Sociology, Central China Normal University, Wuhan 430079, Hubei Province, China.School of Public Administration, Hangzhou Normal University, Hangzhou 311121, Zhejiang Province, China. School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Social and Behavioral Sciences, Nanjing University, Nanjing 210046, Jiangsu Province, China.School of Sociology, Wuhan University, Wuhan 430072, Hubei Province, China.School of Economics, Minzu University of China, Beijing 100081, China.School of Sociology, Central China Normal University, Wuhan 430079, Hubei Province, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32143519

Citation

Fan, Changyu, et al. "Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven By Spring Festival Transportation in China: a Population-Based Study." International Journal of Environmental Research and Public Health, vol. 17, no. 5, 2020.
Fan C, Liu L, Guo W, et al. Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study. Int J Environ Res Public Health. 2020;17(5).
Fan, C., Liu, L., Guo, W., Yang, A., Ye, C., Jilili, M., Ren, M., Xu, P., Long, H., & Wang, Y. (2020). Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study. International Journal of Environmental Research and Public Health, 17(5). https://doi.org/10.3390/ijerph17051679
Fan C, et al. Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven By Spring Festival Transportation in China: a Population-Based Study. Int J Environ Res Public Health. 2020 03 4;17(5) PubMed PMID: 32143519.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study. AU - Fan,Changyu, AU - Liu,Linping, AU - Guo,Wei, AU - Yang,Anuo, AU - Ye,Chenchen, AU - Jilili,Maitixirepu, AU - Ren,Meina, AU - Xu,Peng, AU - Long,Hexing, AU - Wang,Yufan, Y1 - 2020/03/04/ PY - 2020/02/07/received PY - 2020/02/22/revised PY - 2020/02/29/accepted PY - 2020/3/8/entrez PY - 2020/3/8/pubmed PY - 2020/3/19/medline KW - 2019 novel coronavirus KW - population size KW - quasi-experimental approach KW - social characteristics of floating population KW - the origins of Wuhan's migrants JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 17 IS - 5 N2 - After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013-2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan's migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan's migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan's total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan's migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3-4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan's migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions. SN - 1660-4601 UR - https://www.unboundmedicine.com/medline/citation/32143519/Prediction_of_Epidemic_Spread_of_the_2019_Novel_Coronavirus_Driven_by_Spring_Festival_Transportation_in_China:_A_Population_Based_Study_ L2 - http://www.mdpi.com/resolver?pii=ijerph17051679 DB - PRIME DP - Unbound Medicine ER -