Author/Authors :
Yang, Liren Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Qi, Cuifang Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Yang, Zixuan Antai College of Economics and Management - Shanghai Jiao Tong University, Shanghai, China , Shang, Li Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Xie, Guilan Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Wang, Ruiqi Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Sun, Landi Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Xu, Mengmeng Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Yang, Wenfang Department of Obstetrics and Gynecology - Maternal & Child Health Center - the First Affiliated Hospital of Xi'an Jiaotong Uni-versity, China , Chung, Mei Chun Department of Public Health and Community Medicine - Tufts University School of Medicine - Massachusetts Boston - United States of America
Abstract :
This study investigated the impact of socio-economic factors on the spread and outbreak of COVID-19 based on Chinese data.
Methods: Cumulative confirmed cases were collected and divided into the First-stage cases cluster dominated by imported cases, and the Second-stage cases cluster dominated by secondary cases, according to the time of emergency state and Wuhan city lockdown. The linear regression was used for data analysis.
Results: A total of 12,877 cases in 30 provinces were analyzed in the study. The First-stage cases cluster includ-ed 675 cases and Second-stage cases cluster included 12,202 cases. The socio-economic factors were significantly associated with the cases (P<0.05). The GDP and proportion of population moving out of Wuhan were associ-ate with the First-stage dominated by imported cases (0, P<0.05). The First-stage cases cluster, proportion of population moving out of Wuhan and urban population were associate with the Second-stage dominated by secondary cases (0, P<0.05).
Conclusion: Socio-economic factors had impacts on the spread and outbreak of COVID-19. The combination of different socio-economic indicators at different stages of the epidemic may help control the epidemic.
Keywords :
Socio-economic , COVID-19 , China , Outbreak , Spread , Epidemic
