Issue |
Math. Model. Nat. Phenom.
Volume 15, 2020
Coronavirus: Scientific insights and societal aspects
|
|
---|---|---|
Article Number | 34 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/mmnp/2020021 | |
Published online | 19 June 2020 |
- F. Brauer and C. Castillo-Chavez, Mathematical Models in Population Biology and Epidemiology. Springer, New York, NY (2012). [CrossRef] [Google Scholar]
- N. Chen, M. Zhou, X. Dong, J. Qu, F. Gong, Y. Han, Y. Qiu, J. Wang, Y. Liu, Y. Wei, J. Xia, T. Yu, X. Zhang and L. Zhang, Epidemiological and clinical characteristics of 99 casesof 2019 novel coronavirus pneumonia in wuhan, china: a descriptive study. The Lancet 395 (2020) 507–513. [CrossRef] [PubMed] [Google Scholar]
- K. Csilléry, M.G. Blum, O.E. Gaggiotti and O. François, Approximate bayesian computation (abc) in practice. Trends Ecol. Evol. 25 (2010) 410–418. [CrossRef] [PubMed] [Google Scholar]
- A. Danchin, T.W.P. Ng and G. Turinici, A new transmission route for the propagation of the sars-cov-2 coronavirus. medRxiv, 2020. [Google Scholar]
- O. Diekmann and J.A.P. Heesterbeek, Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation. John Wiley, Chichester (2000). [Google Scholar]
- E. Dong, H. Du and L. Gardner, An interactive web-based dashboard to track covid-19 in real time. The Lancet Infectious Diseases 20 (2020) 533–534. [CrossRef] [PubMed] [Google Scholar]
- L. Gardner, Modeling the spreading risk of 2019-ncov. Technical report, Center for Systems Science and Engineering, Johns Hopkins University (2020). [Google Scholar]
- D.S. Hui, E.I. Azhar, T.A. Madani, F. Ntoumi, R. Kock, O. Dar, G. Ippolito, T.D. Mchugh, Z.A, Memish, C. Drosten, A. Zumla and E. Petersen. The continuing 2019-ncov epidemic threat of novel coronaviruses to global health - thelatest 2019 novel coronavirus outbreak in wuhan, china. Int. J. Infet. Dis. 91 (2020) 264–266. [CrossRef] [Google Scholar]
- N. Imai, I. Dorigatti, A. Cori, C. Donnelly, S. Riley and N.M. Ferguson, Report 2: Estimating the potential total number of novel coronavirus cases in wuhan city, china. Technical report, Imperial College London (2020). [Google Scholar]
- P. van den Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180 (2000) 29–48. [Google Scholar]
- H. Wang, Z. Wang, Y. Dong et al., Phase-adjusted estimation of the number of coronavirusdisease 2019 cases in wuhan, china. Cell Discovery 6 (2020) 10. [CrossRef] [PubMed] [Google Scholar]
- World Health Organization, COVID-19 (2020). [Google Scholar]
- World Health Organization, Naming the coronavirus disease (COVID-19) and the virus that causes it (2020). [Google Scholar]
- World Health Organization, Novel Coronavirus(2019-nCoV) Situation. Report 64 (2020). [Google Scholar]
- World Health Organization, Statement on the Second Meeting of the International Health Regulations. (2005). Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-nCoV) 2020. [Google Scholar]
- J.T. Wu, K. Leung and G.M. Leung, Nowcasting and forecasting the potential domestic and international spread of the 2019-ncov outbreak originating in wuhan, china: A modelling study. The Lancet 395 (2020) 689–697. [CrossRef] [PubMed] [Google Scholar]
- S. Zhao, Q. Lin, J. Musa Ran, S.S. Yang, G Wang., W. Lou, D.Y. Gao, L. Yang, D. He and M.H. Wang, Preliminary estimation of the basic reproduction number of novel coronavirus (2019-ncov) in china,from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. Int. Journal Infect. Dis. 92 (2020) 214–217. [Google Scholar]
- S. Zhao, S.S. Musa, Q. Lin, J. Ran, G. Yang, W. Wang, Y. Lou, et al., Estimating the unreported number of novel coronavirus (2019-ncov) cases in china in the first half of january 2020: A data-driven modelling analysis of the early outbreak. J. Clin. Med. 9 (2020) 388. [Google Scholar]
- P. Zhou, X. Yang, X. Wang, et al., A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579 (2020) 270–273. [PubMed] [Google Scholar]
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