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Author: Gou Faxiang
Abstract: Objective To understand the epidemiological characteristics of COVID-19 cases in different epidemic stages in Gansu province. Methods Epidemiological investigation was conducted to collect the information of confirmed COVID-19 cases, including demographic, epidemiological and clinical information. Results As of 25 February 2020, a total of 91 confirmed COVID-19 cases had been reported in Gansu. The epidemic of COVID-19 in Gansu can be divided as three different stages, i.e. imported case stage, imported-case plus indigenous case stage, and indigenous case stage. A total of 63 cases were clustered cases (69.23%), 3 cases were medical staff infected with non-occupational exposure. The initial symptoms included fever (54.95%, 50/91), cough (52.75%, 48/91), or fatigue (28.57%, 26/91), the proportion of each symptom showed a decreasing trend along with the three epidemic stages, but only the differences in proportions of fever (trend χ 2 =2.20, P <0.05) and fatigue (trend χ 2 =3.18, P <0.05) among the three epidemic stages were statistically significant. The cases with critical severe symptoms accounted for 42.85% (6/14), 23.73% (14/59) and 16.67% (3/18), respectively, in three epidemic stages, showed a decreasing trend ( H =6.45, P <0.05). Also, the incubation period prolonged along with the epidemic stage ( F =51.65, P <0.01), but the intervals between disease onset and hospital visit ( F =5.32, P <0.01), disease onset and diagnosis ( F =5.25, P <0.01) became shorter along with the epidemic stage. Additionally, the basic reproduction number (R0) had decreased from 2.61 in imported case stage to 0.66 in indigenous case stage. Conclusions The COVID-19 epidemic in Gansu was caused by the imported cases, and about 2/3 cases were clustered ones. No medical worker was observed to be infected by occupational exposure. With the progression of COVID-19 epidemic in Gansu, the change in initial symptom and incubation period suggests, the early screening cannot only depend on body temperature monitoring.
Journal:Chinese Journal of Epidemiology
Publishing Time:2020,41:E032-E032
DOI:10.3760/cma.j.cn112338-20200229-00216