Evidence map›Paper›PMID 37039438›Full record

ArticleDisaster medicine and public health preparedness2023

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.

Rui Xu, Jin-Peng Hu, Li-Li Chen, Jun-Fang Miao, Qiang Wang, Ji-Jun Hu, Xu-Hong Chang, Jin-Lin Zhang

Abstract read
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Article in Disaster medicine and public health preparedness, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Rui XuSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Jin-Peng HuCenter for Grassland Microbiome, Lanzhou University, Lanzhou, P. R. China.
Li-Li ChenCancer Epidemiology Research Center, Gansu Provincial Cancer Hospital, Lanzhou, P. R. China.
Jun-Fang MiaoSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Qiang WangSchool of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Ji-Jun HuAffiliated Hospital of Gansu Medical College, Pingliang, P. R. China.
Xu-Hong ChangSchool of Public Health, Lanzhou University, Lanzhou, P. R. China.
Jin-Lin ZhangCenter for Grassland Microbiome, Lanzhou University, Lanzhou, P. R. China.ORCID 0000-0002-3562-920X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19ChinaHumansPandemicsCOVID-19epidemiological analysisfood sourcesGansu Province

Identifiers

PMID37039438
PMCPMC10203535

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