Math. Model. Nat. Phenom.
Volume 15, 2020
Coronavirus: Scientific insights and societal aspects
|Number of page(s)||15|
|Published online||17 August 2020|
- C.T. Bauch, J.O. Lloyd-Smith, M.P. Coffee and AP Galvani, Dynamically modeling SARS and other newly emerging respiratory illnesses: past, present, and future. Epidemiology 16 (2005) 791–801. [CrossRef] [PubMed] [Google Scholar]
- D. Gamerman and H.F. Lopes, Markov chain Monte Carlo: stochastic simulation for Bayesian inference. Chapman and Hall/, Boca Raton (2006). [CrossRef] [Google Scholar]
- A.J. Kucharski, T.W. Russell, C. Diamond, et al., Early dynamics of transmission and control of COVID-19: a mathematical modelling study. Lancet Infect. Dis. (2020). https://doi.org/10.1016/S1473-3099(20)30144-4. [Google Scholar]
- X.Z. Li, J.Y. Yang and M. Martcheva, Age structured epidemic modelling, Interdisciplinary Applied Mathematics. Cham, Switzerland (2020) 11, 6330 [Google Scholar]
- Q. Li, X.H. Guan, P. Wu, et al., Early transmision dynamics in Wuhan, China, of noval coronavirus-infected pneumonia. New England J. Med. 382 (2020) 1199–1207 [CrossRef] [Google Scholar]
- Z. Liu, P. Magal, O. Seydi and G. Webb, Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data. Preprint medRxiv (2020). https://arxiv.org/abs/2002.12298. [Google Scholar]
- X. Luo, S. Feng, J. Yang, et al., Analysis of potential risk of COVID-19 infections in China based on a pairwise epidemic model. (2020). https://www.preprints.org/manuscript/202002.0398/v1. [Google Scholar]
- M.I. Meltzer, M. Gambhir, C.Y. Atkins and D.L. Swerdlow, Standardizing scenarios to assess the need to respond to an influenza pandemic. Clin. Infect. Dis. 60 (2015) S1–8. [CrossRef] [PubMed] [Google Scholar]
- K. Prem, A.R. Cook and M. Jim, Projecting social contact matrices in 152 countries using contact surveys and demographic data, Plos. Comput. Biol. 13 (2017) e1005697. [Google Scholar]
- J.M. Read, J. Lessler, S. Riley, S. Wang, L.J. Tan, K.O. Kwok, Y. Guan, C.Q. Jiang and D.A.T. Cummings, Social mixing patterns in rural and urban areas of southern China. Proc. R. Soc. B 281 (2014) 20140268 [CrossRef] [Google Scholar]
- P. Shao and Y.G. Shan, Beware of asymptomatic transmission: study on 2019-nCov preventtion and control measures based on SEIR model (2020). https://doi.org/10.1101/2020.01.28.923169. [Google Scholar]
- The Novel Coronavirus Pneumonia Emergency Response Epidemilogy Team. The epidemiological characteristics of an outbreakof 2019 Novel coronavirus disease (COVID-19)-China, 2020. CCDC Weekly 2 (2020) 113–122. [CrossRef] [Google Scholar]
- P. Van Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180 (2002) 29–48. [Google Scholar]
- J. Wallinga, P. Teunis and M. Kretzschmar. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am. J. Epidemiol. 164 (2006) 936–944. [Google Scholar]
- S.L. Zhao and H. Chen, Modelling the epidemic dynamics and control of COVID-19 outbreak in China, Quant. Biol. (2020). https://doi.org/10.1007/s40484-020-0199-0. [Google Scholar]
- Chinese Control Disease Center and Prevention. The trends and risk estimation of COVID-19. (2020). http://www.chinacdc.cn/jkzt/crb/zl/szkb11803/jszl11811/202001/P020200127544648420736.pdf. [Google Scholar]
- Official news on the change of diagnosed approaches issused by the Chinese govenment (in Chinese). (2020). http://www.gov.cn/zhengce/zhengceku/2020-02/09/content5476407.htm. [Google Scholar]
- Chinese Population Statistic Yearbook 2019. http://www.stats.gov.cn/tjsj/ndsj/2019/indexch.htm. [Google Scholar]
- 2019 novel coronavirus (in Chinese). https://baike.baidu.com/item/2019novelcoronavirus/24267858?fr=aladdin. [Google Scholar]
- The National Health Commission of the People's Republic of China. http://www.nhc.gov.cn/xcs/yqtb/listgzbd.shtml. [Google Scholar]
- China News. Mayor of Wuhan: More than 5 million people left Wuhan. 2020. http://ent.chinanews.com/sh/2020/01-26/9070484.shtml. [Google Scholar]
- Chinese Control Disease Center and Prevention. http://www.chinacdc.cn/jkzt/crb/zl/szkb11803/jszl11809. [Google Scholar]
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