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Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China.
Medicine (Baltimore). 2021 Jul 02; 100(26):e26298.M

Abstract

ABSTRACT

In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic prevention and control. We collected demographic characteristics, exposure history, and course of action of COVID-19 cases. We described the demographic and case characteristics of these cases to show the basic characteristics of COVID-19 cases in both provinces. Combined with the spatial analysis of confirmed cases, the distribution law of the number of confirmed cases in different regions was analyzed. We exhibit the relationship among COVID-19 cases with a transmission network. The transmission characteristics of COVID-19 were analyzed through the transmission network. Mainly cases in Liaoning and Jilin provinces were imported cases from other provinces and the vast majority of these cases were related to Hubei province. The number of confirmed cases in different regions was positively correlated with their GDP and population. The main clinical symptoms of the cases were fever. Judge from the transmission network relationship between the 2 provinces, the transmission chain in Liaoning province contains fewer cases than that in Jilin province. The main transmission routes of the local cases in the 2 provinces were the family members, and the infection of the imported cases were mainly occurred in public places. It was estimated that the unidentified asymptomatic infected cases in the 2 provinces account for approximately 7.3% of the total number of infected cases. The length of the transmission chain suggests that the spread of COVID-19 can be effectively controlled with effective prevention measures.

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Authors+Show Affiliations

Feng T
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Zhang Y
Department of Clinical Laboratory, Inner Mongolia Xingan League People's Hospital, The Inner Mongolian Autonomous Region.
Sun H
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Zhang H
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Sun M
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Wang Y
Prevention and Cure Center of School Hygiene and Student Common Diseases, Changchun Center for Disease Control, Changchun, Jilin, China.
Sun C
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Li K
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Wang Y
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Chai R
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Zheng P
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Chen Y
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Pan P
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Bi C
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Yao Y
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.
Liu S
School of Public Health, Jilin University, Changchun Center for Disease Control, Changchun, Jilin.

MeSH

AdolescentAdultAge DistributionAsymptomatic InfectionsCOVID-19ChildChinaEpidemiologic StudiesFemaleHumansInfectious Disease Transmission, Patient-to-ProfessionalMaleMiddle AgedPandemicsSARS-CoV-2Spatio-Temporal AnalysisTravel-Related IllnessYoung Adult

Pub Type(s)

Journal Article

Language

eng

PubMed ID

34190148

Citation

Feng, Tianyu, et al. "Epidemiological Study On Severe Acute Respiratory Syndrome Coronavirus 2 Virus Transmission Network in Northeast China." Medicine, vol. 100, no. 26, 2021, pp. e26298.
Feng T, Zhang Y, Sun H, et al. Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China. Medicine (Baltimore). 2021;100(26):e26298.
Feng, T., Zhang, Y., Sun, H., Zhang, H., Sun, M., Wang, Y., Sun, C., Li, K., Wang, Y., Chai, R., Zheng, P., Chen, Y., Pan, P., Bi, C., Yao, Y., & Liu, S. (2021). Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China. Medicine, 100(26), e26298. https://doi.org/10.1097/MD.0000000000026298
Feng T, et al. Epidemiological Study On Severe Acute Respiratory Syndrome Coronavirus 2 Virus Transmission Network in Northeast China. Medicine (Baltimore). 2021 Jul 2;100(26):e26298. PubMed PMID: 34190148.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China. AU - Feng,Tianyu, AU - Zhang,Yulong, AU - Sun,Helin, AU - Zhang,He, AU - Sun,Mengzi, AU - Wang,Yudan, AU - Sun,Chong, AU - Li,Kexin, AU - Wang,Yingshuang, AU - Chai,Ruiyu, AU - Zheng,Pingping, AU - Chen,Yang, AU - Pan,Pan, AU - Bi,Chunli, AU - Yao,Yan, AU - Liu,Siyu, PY - 2020/11/19/received PY - 2021/05/17/accepted PY - 2021/6/30/entrez PY - 2021/7/1/pubmed PY - 2021/7/7/medline SP - e26298 EP - e26298 JF - Medicine JO - Medicine (Baltimore) VL - 100 IS - 26 N2 - ABSTRACT: In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic prevention and control. We collected demographic characteristics, exposure history, and course of action of COVID-19 cases. We described the demographic and case characteristics of these cases to show the basic characteristics of COVID-19 cases in both provinces. Combined with the spatial analysis of confirmed cases, the distribution law of the number of confirmed cases in different regions was analyzed. We exhibit the relationship among COVID-19 cases with a transmission network. The transmission characteristics of COVID-19 were analyzed through the transmission network. Mainly cases in Liaoning and Jilin provinces were imported cases from other provinces and the vast majority of these cases were related to Hubei province. The number of confirmed cases in different regions was positively correlated with their GDP and population. The main clinical symptoms of the cases were fever. Judge from the transmission network relationship between the 2 provinces, the transmission chain in Liaoning province contains fewer cases than that in Jilin province. The main transmission routes of the local cases in the 2 provinces were the family members, and the infection of the imported cases were mainly occurred in public places. It was estimated that the unidentified asymptomatic infected cases in the 2 provinces account for approximately 7.3% of the total number of infected cases. The length of the transmission chain suggests that the spread of COVID-19 can be effectively controlled with effective prevention measures. SN - 1536-5964 UR - https://www.unboundmedicine.com/medline/citation/34190148/Epidemiological_study_on_severe_acute_respiratory_syndrome_coronavirus_2_virus_transmission_network_in_northeast_China_ DB - PRIME DP - Unbound Medicine ER -