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截至 2020 年 3 月 5 日对韩国和意大利冠状病毒病(COVID-19)疫情的基本繁殖数的估计。

Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020.

机构信息

Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.

JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese, University of Hong Kong, Shenzhen, China.

出版信息

Int J Infect Dis. 2020 Jun;95:308-310. doi: 10.1016/j.ijid.2020.04.044. Epub 2020 Apr 22.

DOI:10.1016/j.ijid.2020.04.044
PMID:32334115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7194543/
Abstract

The novel coronavirus disease 2019 (COVID-19) outbreak has caused 6088 cases and 41 deaths in Republic of Korea, and 3144 cases and 107 death in Italy by 5 March 2020, respectively. We modelled the transmission process in the Republic of Korea and Italy with a stochastic model, and estimated the basic reproduction number R as 2.6 (95% CI: 2.3-2.9) or 3.2 (95% CI: 2.9-3.5) in the Republic of Korea, under the assumption that the exponential growth starting on 31 January or 5 February 2020, and 2.6 (95% CI: 2.3-2.9) or 3.3 (95% CI: 3.0-3.6) in Italy, under the assumption that the exponential growth starting on 5 February or 10 February 2020, respectively.

摘要

截至 2020 年 3 月 5 日,新型冠状病毒病 2019(COVID-19)在韩国已导致 6088 例确诊病例和 41 例死亡,在意大利已导致 3144 例确诊病例和 107 例死亡。我们使用随机模型对韩国和意大利的传播过程进行了建模,并估计了基本繁殖数 R,在假设 1 月 31 日或 2 月 5 日开始指数增长的情况下,韩国的 R 值为 2.6(95%CI:2.3-2.9)或 3.2(95%CI:2.9-3.5);在假设 2 月 5 日或 2 月 10 日开始指数增长的情况下,意大利的 R 值为 2.6(95%CI:2.3-2.9)或 3.3(95%CI:3.0-3.6)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8e/7194543/fcfd5434a51a/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8e/7194543/fcfd5434a51a/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8e/7194543/fcfd5434a51a/gr1_lrg.jpg

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Int J Infect Dis. 2020 Apr;93:339-344. doi: 10.1016/j.ijid.2020.03.031. Epub 2020 Mar 18.
2
Serial Interval of COVID-19 among Publicly Reported Confirmed Cases.新型冠状病毒肺炎确诊病例的潜伏期。
Emerg Infect Dis. 2020 Jun;26(6):1341-1343. doi: 10.3201/eid2606.200357. Epub 2020 Jun 17.
3
Serial interval of novel coronavirus (COVID-19) infections.新型冠状病毒(COVID-19)感染的连续间隔。
评估隔离和接触者追踪干预措施对韩国新冠病毒早期传播动态的有效性。
IEEE Access. 2021 Mar 8;9:41456-41467. doi: 10.1109/ACCESS.2021.3064371. eCollection 2021.
4
An investigation of a hundred COVID-19 cases and close contacts in Ethiopia, May to June, 2020: A prospective case-ascertained study.2020 年 5 月至 6 月在埃塞俄比亚对 100 例 COVID-19 病例和密切接触者的调查:一项前瞻性病例确定研究。
PLoS One. 2022 Oct 14;17(10):e0275596. doi: 10.1371/journal.pone.0275596. eCollection 2022.
5
Transmission parameters of coronavirus disease 2019 in South Asian countries.2019年冠状病毒病在南亚国家的传播参数
Osong Public Health Res Perspect. 2022 Jun;13(3):191-202. doi: 10.24171/j.phrp.2021.0234. Epub 2022 Jun 23.
6
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8
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