1. Spatial analysis of COVID-19 epidemic situation of Yunnan.
- Author
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LI Zhenhui, LU Ran, QI Yanbo, GUO Hui, and LIN Yan
- Abstract
Objective To analyze the spatial distribution characteristics of coronavirus disease 2019 (COVID-19) epidemic of Yunnan province, and we provide targeted prevention and control advice. Methods From 23 January to 22 February 2020, geographic information system was established based on the data of COVID-19 epidemic and demographic information from online reporting system, local indication of spatial auto correlation (LISA) were conducted by GeoDa1.14.0 and Mapinfo 15.0 software. Results Except for Diqing and Nujiang in 16 prefectures (cities) of the province, cases were reported in 14 other prefectures (cities). Among them, the confirmed cases were mainly reported in economically developed regions and regions with more developed tourism industry. The epidemic situation of COVID-19 in Yunnan Province first increased sharply and then decreased slowly. There was no statistical difference in global autocorrelation in incidence, but there were some areas aggregated, local clusters appeared only in the early stages of the epidemic. There were 3 L-L clusters (Dehong, Banna and Zhaotong), 1 H-L cluster(Kunming), 4 L-H clusters(Yuxi, Qujing, Chuxiong and Honghe) of early outbreak. Spatial aggregation gradually disappears over time. Conclusion The previous epidemic situation can be prevented and controlled, and there is no space aggregation, but before the epidemic situation is completely extinguished, we still need to improve our alertness, with scientific and correct methods to prevention and control, and avoid the new outbreak and epidemic. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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