Incubation period of coronavirus disease 2019: new implications for intervention and control.
The COVID-19 pandemic has been causing serious disasters to mankind. The incubation period is a key parameter for epidemic control and also an important basis for epidemic prediction, but its distribution law remains unclear. This paper analyzed the epidemiological information of 787 confirmed non-W...
| Publicado en: | International Journal of Environmental Health Research Vol. 32; no. 8; pp. 1707 - 1716 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157791806&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157791806 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Aug2022 vid: 32 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 157791806 149641867 157791806 157791806 10.1080/09603123.2021.1905781 157791806 ppf: 1707 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Incubation period of coronavirus disease 2019: new implications for intervention and control. aug: au: Huang, Shunxiang Li, Jing Dai, Chengguqiu Tie, Zihan Xu, Jiazhao Xiong, Xiang Hao, Xingjie Wang, Zhongyi Lu, Chan affil: Institute of NBC Defense of PLA, Beijing, China sug: subj: COVID-19 Pandemic COVID-19 Prevention and Control COVID-19 Transmission COVID-19 Symptoms Time Factors Age Factors Severity of Illness Sex Factors COVID-19 Diagnosis Human Confidence Intervals Male Female Male Female ab: The COVID-19 pandemic has been causing serious disasters to mankind. The incubation period is a key parameter for epidemic control and also an important basis for epidemic prediction, but its distribution law remains unclear. This paper analyzed the epidemiological information of 787 confirmed non-Wuhan resident cases, and systematically studied the characteristics of the incubation period of COVID-19 based on the interval-censored data estimation method. The results show that the incubation period of COVID-19 approximately conforms to the Gamma distribution with a mean value of 7.8 (95%CI:7.4–8.5) days and a median value of 7.0 (95%CI:6.7–7.3) days. The incubation period was positively correlated with age and negatively correlated with disease severity. Female cases presented a slightly higher incubation period than that of males. The proportion of infected persons who developed symptoms within 14 days was 91.6%. These results are of great significance to the prevention and control of the COVID-19 pandemic. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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