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本文引用的文献

1
Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates.新型冠状病毒 2019-nCoV (COVID-19)：流行病学参数和疫情规模的早期估计。
Philos Trans R Soc Lond B Biol Sci. 2021 Jul 19;376(1829):20200265. doi: 10.1098/rstb.2020.0265. Epub 2021 May 31.
2
Corrigendum to "Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents" [J Hosp Infect 104 (2020) 246-251].《关于“冠状病毒在无生命表面的持久性及其被消毒剂灭活”的勘误》[《医院感染杂志》104 (2020) 246 - 251]
J Hosp Infect. 2020 Jun 17;105(3):587. doi: 10.1016/j.jhin.2020.06.001.
3
First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment.中国湖北省以外地区采取控制措施后第一波 COVID-19 的传染性和严重程度，以及第二波疫情情景规划：模型影响评估。
Lancet. 2020 Apr 25;395(10233):1382-1393. doi: 10.1016/S0140-6736(20)30746-7. Epub 2020 Apr 8.
4
Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions.公共卫生干预下中国新冠疫情趋势的改进型SEIR模型及人工智能预测
J Thorac Dis. 2020 Mar;12(3):165-174. doi: 10.21037/jtd.2020.02.64.
5
Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand".评 Ferguson 等人的“减少 COVID-19 死亡率和医疗需求的非药物干预（NPIs）的影响”一文。
Bull Math Biol. 2020 Apr 8;82(4):52. doi: 10.1007/s11538-020-00726-x.
6
Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1.与严重急性呼吸综合征冠状病毒1（SARS-CoV-1）相比，严重急性呼吸综合征冠状病毒2（SARS-CoV-2）在气溶胶和表面的稳定性
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7
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).大量未记录的感染使新型冠状病毒（SARS-CoV-2）迅速传播。
Science. 2020 May 1;368(6490):489-493. doi: 10.1126/science.abb3221. Epub 2020 Mar 16.
8
Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions.2019新型冠状病毒传播风险评估及其对公共卫生干预措施的启示
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Mathematical models for COVID-19: applications, limitations, and potentials.

作者信息

Wang Jin

机构信息

Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

出版信息

J Public Health Emerg. 2020 Jun;4. doi: 10.21037/jphe-2020-05. Epub 2020 Jun 25.

DOI:10.21037/jphe-2020-05
PMID:32724894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7386428/
Abstract
摘要