Spatiotemporal evolution of COVID-19 epidemic in the early phase in China.
10.3760/cma.j.cn112338-20211217-00996
- VernacularTitle:我国新型冠状病毒肺炎早期时空演变规律分析
- Author:
Rui GAO
1
;
Shi Cheng YU
1
;
Qi Qi WANG
1
;
Xiao Hua ZHOU
2
;
Nan Kun LIU
1
;
Feng TAN
1
Author Information
1. Chinese Center for Disease Control and Prevention, Beijing 102206, China.
2. Peking University Health Science Center, Beijing 100191, China.
- Publication Type:Journal Article
- MeSH:
COVID-19/epidemiology*;
China/epidemiology*;
Communicable Disease Control;
Epidemics;
Humans;
Spatio-Temporal Analysis
- From:
Chinese Journal of Epidemiology
2022;43(3):297-304
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Based on the geographic information systems, we exploreed the spatiotemporal clustering and the development and evolution of COVID-19 epidemic at prefectural level in China from the time when the epidemic was discovered to the time when the lockdown ended in Wuhan. Methods: The information and data of the confirmed COVID-19 cases from December 8, 2019 to April 8, 2020 were collected from 367 prefectures in China for a spatial autocorrelation analysis with software GeoDa, and software ArcGIS was used to visualize the results. Software SatScan was used for spatiotemporal scanning analysis to visualize the hot-spot areas of the epidemic. Results: The incidence of new cases of COVID-19 had obvious global autocorrelation and the partial autocorrelation results showed that incidence of COVID-19 had different spatial distribution at different times from December 8, 2019 to March 4, 2020. There was no significant difference in global autocorrelation coefficient from March 5, 2020 to April 8, 2020. The statistical analysis of spatiotemporal scanning identified two kinds of spatiotemporal clustering areas, the first class clustering areas included 10 prefectures, mainly distributed in Hubei, from January 13 to February 25, 2020. The secondary class clustering areas included 142 prefectures, mainly distributed in provinces in the north and east of Hubei, from January 23 to February 1, 2020. Conclusions: There was a clear spatiotemporal correlation in the distribution of the outbreaks in the early phase of COVID-19 epidemic (December 8, 2019-March 4, 2020) in China. With the decrease of the case and effective prevention and control measures, the epidemics had no longer significant correlations among areas from March 5 to April 8. The study results showed relationship with time points of start and adjustment of emergency response at different degree in provinces. Furthermore, improving the early detection of new outbreaks and taking timely and effective prevention and control measures played an important role in blocking the transmission.
