Epidemiological characteristics of 168 cases of COVID-19 in Hainan Island, tropical China: A descriptive study

摘要

Objective:To understand the epidemic characters of COVID-19 epidemic in Hainan province of tropical China and provid evidences for the prevention and control of the epidemic.Methods:Data on the COVID-19 epidemic collected from Health Commission of Hainan Province were analyzed by using the methods of retrospective descriptive epidemiology.Results:From January 22nd to February 21st,2020,COVID-19 was diagnosed in 168 confirmed cases(including 8 severe cases)in Hainan Province with the temporary fatality rate of 2.38%of 4 deaths,and 96 cases discharged from hospital,with the cure rate of 57.14%.The cases were distributed in altogether 15 cities and counties in Hainan Province,among which 121 cases were distributed in Sanya,Haikou,Danzhou and Wanning,accounting for 72.02%of the total number of cases.Cases in Sanya City were mainly found in Tianya district and Jiyang district,accounting for 69.81%of the total number of cases in Sanya.Cases in Haikou City were mainly found in Qiongshan district and Xiuying district,accounting for 72.5%of the total number of cases in Haikou.Among the patients,there were 81 males and 87 females,with a male-to-female ratio of 1.1;the youngest age was 3 months,the oldest was 79 years old,80%of the patients were in the age group of 30 to 69 years old,and the number of children and adolescents under 20 years old were relatively low.Conclusion:The daily number of new confirmed cases showed a gradual downward trend in Hainan province,and the epidemic situation was in transition from imported to local renewal,mainly in close contact between family members.With the increase of personnel mobility such as the resumption of work by enterprises and the return of migrant workers to the island,there is a risk of agglomeration epidemic.Prevention and control work in urban and rural areas should take a two-pronged approach.Amid preventing imported cases,more proactive measures should be taken to prevent and control the spread of local cases.