文献类型：期刊文献

英文题名：Food Sources May Affect the Symptom Rates of COVID-19, an Epidemiological Analysis Based on the Public Data in Gansu Province, China, During the Summer Epidemic Cycle in 2022

作者：Xu, Rui[1];Hu, Jin-Peng[2];Chen, Li-Li[3];Miao, Jun-Fang[1];Wang, Qiang[4];Hu, Ji-Jun[5];Chang, Xu-Hong[6];Zhang, Jin-Lin[2]

第一作者：许瑞

通信作者：Xu, R[1];Zhang, JL[2]

机构：[1]Gansu Univ Chinese Med, Sch Nursing, Lanzhou, Peoples R China;[2]Lanzhou Univ, Ctr Grassland Microbiome, Lanzhou, Peoples R China;[3]Gansu Prov Canc Hosp, Canc Epidemiol Res Ctr, Lanzhou, Peoples R China;[4]Gansu Univ Chinese Med, Sch Basic Med, Lanzhou, Peoples R China;[5]Gansu Med Coll, Affiliated Hosp, Pingliang, Peoples R China;[6]Lanzhou Univ, Sch Publ Hlth, Lanzhou, Peoples R China

第一机构：甘肃中医药大学护理学院

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Sch Nursing, Lanzhou, Peoples R China;[2]corresponding author), Lanzhou Univ, Ctr Grassland Microbiome, Lanzhou, Peoples R China.|[107352f23a9081f8152fc]甘肃中医药大学护理学院;[10735]甘肃中医药大学;

年份：2023

卷号：17

期号：7

外文期刊名：DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS

收录：;Scopus(收录号：2-s2.0-85153790175);WOS:【SSCI(收录号:WOS:001027437900001)，SCI-EXPANDED(收录号:WOS:001027437900001)】；

语种：英文

外文关键词：COVID-19; epidemiological analysis; food sources; Gansu Province

摘要：According to the public data collected from the Health Commission of Gansu Province, China, regarding the COVID-19 pandemic during the summer epidemic cycle in 2022, the epidemiological analysis showed that the pandemic spread stability and the symptom rate (the number of confirmed cases divided by the sum of the number of asymptomatic cases and the number of confirmed cases) of COVID-19 were different among 3 main epidemic regions, Lanzhou, Linxia, and Gannan; both the symptom rate and the daily instantaneous symptom rate (daily number of confirmed cases divided by the sum of daily number of asymptomatic cases and daily number of confirmed cases) in Lanzhou were substantially higher than those in Linxia and Gannan. The difference in the food sources due to the high difference of the population ethnic composition in the 3 regions was probably the main driver for the difference of the symptom rates among the 3 regions. This work provides potential values for prevention and control of COVID-19 in different regions.