Math. Model. Nat. Phenom.
Volume 15, 2020
Coronavirus: Scientific insights and societal aspects
|Number of page(s)||11|
|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] [PubMed] [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. [CrossRef] [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. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.