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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.
Disaster Med Public Health Prep. 2023 Apr 11; 17:e393.DM

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.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Xu R
School of Nursing, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Hu JP
Center for Grassland Microbiome, Lanzhou University, Lanzhou, P. R. China.
Chen LL
Cancer Epidemiology Research Center, Gansu Provincial Cancer Hospital, Lanzhou, P. R. China.
Miao JF
School of Nursing, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Wang Q
School of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, P. R. China.
Hu JJ
Affiliated Hospital of Gansu Medical College, Pingliang, P. R. China.
Chang XH
School of Public Health, Lanzhou University, Lanzhou, P. R. China.
Zhang JL
Center for Grassland Microbiome, Lanzhou University, Lanzhou, P. R. China.

MeSH

HumansCOVID-19PandemicsChina

Pub Type(s)

Journal Article

Language

eng

PubMed ID

37039438

Citation

Xu, Rui, et al. "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." Disaster Medicine and Public Health Preparedness, vol. 17, 2023, pp. e393.
Xu R, Hu JP, Chen LL, et al. 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. Disaster Med Public Health Prep. 2023;17:e393.
Xu, R., Hu, J. P., Chen, L. L., Miao, J. F., Wang, Q., Hu, J. J., Chang, X. H., & Zhang, J. L. (2023). 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. Disaster Medicine and Public Health Preparedness, 17, e393. https://doi.org/10.1017/dmp.2023.56
Xu R, et al. 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. Disaster Med Public Health Prep. 2023 Apr 11;17:e393. PubMed PMID: 37039438.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 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. AU - Xu,Rui, AU - Hu,Jin-Peng, AU - Chen,Li-Li, AU - Miao,Jun-Fang, AU - Wang,Qiang, AU - Hu,Ji-Jun, AU - Chang,Xu-Hong, AU - Zhang,Jin-Lin, Y1 - 2023/04/11/ PY - 2023/5/12/medline PY - 2023/4/12/pubmed PY - 2023/4/11/entrez KW - COVID-19 KW - Gansu Province KW - epidemiological analysis KW - food sources SP - e393 EP - e393 JF - Disaster medicine and public health preparedness JO - Disaster Med Public Health Prep VL - 17 N2 - 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. SN - 1938-744X UR - https://www.unboundmedicine.com/medline/citation/37039438/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_ DB - PRIME DP - Unbound Medicine ER -