EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 12 (2021) Int. J. Metrol. Qual. Eng., 12 (2021) 14 References
Issue
Int. J. Metrol. Qual. Eng.
Volume 12, 2021
Topical Issue - Advances in Metrology and Quality Engineering
Article Number 14
Number of page(s) 19
DOI https://doi.org/10.1051/ijmqe/2021012
Published online 10 June 2021
  1. WHO, Naming the coronavirus disease (COVID-19) and the virus that causes it (2020) https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/namingthe-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it [Google Scholar]
  2. D.S. Hui et al., The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — the latest2019 novel coronavirus outbreak in Wuhan, China, Int. J. Infectious Dis. 91, 264–266 (2020) [CrossRef] [PubMed] [Google Scholar]
  3. R. Breban, J. Riou, A. Fontanet, Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk, The Lancet 382, 694–699 (2013) [CrossRef] [Google Scholar]
  4. A. Cheng, Faculty of 1000 evaluation for Pandemic potential of a strain of influenza A (H1N1): early findings, in F1000 ‑ Post-publication peer review of the biomedical literature 324.5934 (2009) 1557–1561 [Google Scholar]
  5. H.-J. Chang, Evaluation of the basic reproduction number of MERS-CoV during the2015 outbreak in South Korea, in 2016 16th International Conference on Control, Automation and Systems (ICCAS) (2016). DOI: 10.1109/iccas.2016.7832428 [Google Scholar]
  6. R. Ke et al., Estimating the reproductive number R0 of SARS-CoV-2 in the United States and eight European countries and implications for vaccination (2020) DOI: 10.1101/2020.07.31.20166298 [Google Scholar]
  7. C. Rinzivillo et al., Estimation of the R0 factor of the SIR Model in Italy and some its regions as consequence of the pandemic Sars-Covid-2 (2020) DOI: 10.21203/rs.3.rs-34627/v1 [Google Scholar]
  8. M. D'arienzo, A. Coniglio, Assessment of the SARS-CoV-2 basic reproduction number, R0, based on the early phase of COVID-19 outbreak in Italy, Biosaf. Health 2, 57–59 (2020) [CrossRef] [PubMed] [Google Scholar]
  9. T. Obadia, R. Haneef, P.-Y. Boëlle, The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks, in BMC Medical Informatics and Decision Making 12 (2012) DOI: 10.1186/1472-6947-12-147 [CrossRef] [Google Scholar]
  10. Imperial College London, Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand (2020) https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPImodelling-16-03-2020.pdf [Google Scholar]
  11. R. Cuffe, C. Jeavans, How the UK's coronavirus epidemic compares to other countries (2020) https://www.bbc.co.uk/news/health-52056111 [Google Scholar]
  12. S. Sanche et al., High contagiousness and rapid spread of severe acute respiratory syndrome coronavirus 2, Emerg. Infect. Dis. 26 (2020) [Google Scholar]
  13. N. Williams, Social distancing in the covid-19 pandemic, Occupat. Med. (2020) 10.1093/occmed/kqaa072 [Google Scholar]
  14. World Health Organization, China Joint Mission on Coronavirus Disease 2019 (COVID-19) (2020) https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-oncovid-19-final-report.pdf [Google Scholar]
  15. Q. Gao et al., The epidemiological characteristics of2019 novel coronavirus diseases (COVID-19) in Jingmen, Hubei, China (2020) 113–122. DOI: 10.1101/2020.03.07.20031393. [Google Scholar]
  16. Data of Confirmed Cases on COVID-19. 2020. http://www.nhc.gov.cn/xcs/xxgzbd/gzbd_index.shtml [Google Scholar]
  17. GOV.UK. Coronavirus (COVID-19) in the UK. June 2020. https://coronavirus.data.gov.uk/ [Google Scholar]
  18. C. Bezier, G. Anthoine, A. Charki, Reliability of real-time RT-PCR tests to detect SARS-Cov-2: a literature review, Int. J. Metrol. Qual. Eng. 11, 16 (2020) [CrossRef] [Google Scholar]
  19. C. Bezier, G. Anthoine, A. Charki, Reliability of RT-PCR tests to detect SARSCoV-2: risk analysis, Int. J. Metrol. Qual. Eng. 11, 15 (2020) [CrossRef] [EDP Sciences] [Google Scholar]
  20. R.M. Anderson, R.M. May, Infectious diseases of humans: dynamics and control (Oxford University Press, 2010) [Google Scholar]
  21. I. Nesteruk, Statistics based predictions of coronavirus 2019-nCoV spreading in mainland China (2020). DOI: 10.1101/2020.02.12.20021931 [Google Scholar]
  22. O. Diekmann, J.a.p. Heesterbeek, J.a.j. Metz, On the definition and the computation of the basic reproduction ratio R 0 in models for infectious diseases in heterogeneous populations, J. Math. Biol. 28 (1990) [CrossRef] [Google Scholar]
  23. C. Castillo-Chavez, Z. Feng, W. Huang, On the Computation of R 0 and its role on global stability, Math. Approach. Emerg. Reemerging Infectious Diseases 229–250 (2002) [CrossRef] [Google Scholar]
  24. M. Jit, P. White, Economic analysis of interventions against infectious diseases, Infect. Disease Epidemiol. 243–256 (2016) [CrossRef] [Google Scholar]
  25. P.J. White, Mathematical models in infectious disease epidemiology, Infect. Dis. (2017) 10.1016/b978-0-7020-6285-8.00005-8 [Google Scholar]
  26. O. Diekmann, J.A.P. Heesterbeek, Mathematical epidemiology of infectious diseases: model building, analysis and interpretation (Wiley, 2000) [Google Scholar]
  27. P. Van Den Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci. 180, 29–48 (2002) [Google Scholar]
  28. L.M.A. Bettencourt, R.M. Ribeiro, Real time Bayesian estimation of the epidemic potential of emerging infectious diseases, PLoS ONE 3 (2008) [Google Scholar]
  29. K. Systrom, The MetricWe Need to Manage COVID-19 (2020) http://systrom.com/blog/themetric-we-need-to-manage-covid-19/ [Google Scholar]
  30. Worldometer. Coronavirus Incubation Period: 2020. https://www.worldometers.info/coronavirus/coronavirus-incubation-period/ [Google Scholar]
  31. COVID Sympton Study. How long does COVID-19 last? June 2020. https://covid.joinzoe.com/post/covid-long-term. [Google Scholar]
  32. M. Roser et al., Coronavirus Pandemic (COVID-19) − Statistics and Research (2020) https://ourworldindata.org/coronavirus [Google Scholar]
  33. Imperial College London and I. Mori, Real-time Assessment of Community Transmission findings (2020) https://www.imperial.ac.uk/medicine/research-and-impact/groups/react-study/realtime-assessment-of-community-transmission-findings/ [Google Scholar]
  34. H. Sjödin et al., COVID-19 healthcare demand and mortality in Sweden in response to non-pharmaceutical mitigation and suppression scenarios, Int. J. Epidemiol. (2020). DOI: 10.1093/ije/dyaa121 [Google Scholar]
  35. V. Chalmers, NHS used HALF as many ICU beds during Covid-19 crisis in the spring as France (2020) https://www.dailymail.co.uk/news/article-8879633/NHS-used-HALF-ICU-beds-Covid-19-crisis-spring-France.html [Google Scholar]
  36. NHS, The NHS and healthcare in Europe, Eur. Heart J. 39, 3923–3924 (2018) [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.