EDP Sciences logo
Subscriber Authentication Point
Search
Menu
All issues Volume 15 (2020) Math. Model. Nat. Phenom., 15 (2020) 28 References
Issue
Math. Model. Nat. Phenom.
Volume 15, 2020
Coronavirus: Scientific insights and societal aspects
Article Number 28
Number of page(s) 12
DOI https://doi.org/10.1051/mmnp/2020011
Published online 21 April 2020
  1. R.M. Anderson and R.M. May, Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, New York (1991). [Google Scholar]
  2. V. Capasso and G. Serio, A generalization of the Kermack–McKendrick deterministic epidemic model. Math. Biosci. 42 (1978) 43–61. [Google Scholar]
  3. COVID-19 Community Mobility Reports. Available at: https://www.google.com/covid19/mobility/ (2020). [Google Scholar]
  4. S. Funk, M. Salathe and V.A.A. Jansen, Modelling the influence of human behaviour on the spread of infectious diseases: a review. J. R. Soc. Interface 7 (2010) 1247–1256. [CrossRef] [PubMed] [Google Scholar]
  5. G. Goh, Epidemic Calculator. Available at: https://gabgoh.github.io/COVID/index.html (2020). [Google Scholar]
  6. R.J. Hatchett, C.E. Mecher and M. Lipsitch, Public health interventions and epidemic intensity duringthe 1918 influenza pandemic. Proc. Natl Acad. Sci. USA 104 (2007) 7582–7587. [CrossRef] [Google Scholar]
  7. How many tests for COVID-19 are being performed around the world? Available at: https://ourworldindata.org/covid-testing (2020). [Google Scholar]
  8. W.O. Kermack and A.G. McKendrick, Contributions to the mathematical theory of epidemics—I. Proc. R. Soc. 115A (1927) 700–721. [Google Scholar]
  9. A.J. Kucharski, T.W. Russell, C. Diamond, Y. Liu, J. Edmunds et al., Early dynamics of transmission and control of COVID-19: A mathematical modelling study. To appear in: Lancet Infect. Dis. (2020). doi: 10.1016/S1473-3099(20)30144-4 [Google Scholar]
  10. C.-C. Lai, T.-P. Shih, W.-C. Ko, H.-J. Tang and P.-R. Hsueh, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges. Int. J. Antimicrob. Agents 55 (2020) 105924. [Google Scholar]
  11. S.A. Lauer, K.H. Grantz, Q. Bi, F.K. Jones, Q. Zheng et al., The incubation period of 2019-nCoV from publicly reported confirmed cases: estimation and application. Preprint medRxiv doi: 10.1101/2020.02.02.20020016 (2020). [Google Scholar]
  12. Q. Li, X. Guan, P. Wu, X. Wang, L. Zhou et al., Early transmission dynamics in Wuhan, China, of novel Coronavirus infected pneumonia. N. Engl. J. Med. 382 (2020) 1199–1207. [Google Scholar]
  13. R. Li, S. Pei, B. Chen, Y. Song, T. Zhang et al., Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science (2020) eabb3221. [Google Scholar]
  14. N.M. Linton, T. Kobayashi, Y. Yang, K. Hayashi, A.R. Akhmetzhanov et al., Incubation period and other epidemiological characteristicsof 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J. Clin. Med. 9 (2020) 538. [Google Scholar]
  15. Mathematica notebook. Available at: http://pmbm.ippt.pan.pl/model/covid19 (2020). [Google Scholar]
  16. Novel coronavirus (COVID-19) cases, provided by JHU CSSE. Available at: https://systems.jhu.edu/research/public-health/ncov (2020). [Google Scholar]
  17. N. Perra, D. Balcan, B. Goncalves and A. Vespignani, Towards a characterization of behavior-disease models. PLoS One 6 (2011) e23084. [CrossRef] [PubMed] [Google Scholar]
  18. J. Riou, A. Hauser, M.J. Counotte and C.L. Althaus, Adjusted age-specific case fatality ratio during the COVID-19 epidemic in Hubei, China, January and February 2020. Preprint medRxiv doi: 10.1101/2020.03.04.20031104 (2020). [Google Scholar]
  19. B. Tang, X. Wang, Q. Li, N.L. Bragazzi, S. Tang et al., Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. J. Clin. Med. 9 (2020) 462. [Google Scholar]
  20. X. Wang, W. Tian, X. Lv, Y. Shi, X. Zhou et al., Effects of Chinese strategies for controlling the diffusion and deterioration of novel coronavirus-infected pneumonia in China. Preprint medRxiv doi: 10.1101/2020.03.10.20032755 (2020). [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.