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Alternative graphical displays for the monitoring of epidemic outbreaks, with application to COVID-19 mortality

ContributorsPerneger, Thomas; Kevorkian, Antoine; Grenet, Thierry; Gallée, Hubert; Gayet-Ageron, Angèle
Published inBMC Medical Research Methodology, vol. 20, no. 1, 248
Publication date2020
Abstract

Classic epidemic curves - counts of daily events or cumulative events over time -emphasise temporal changes in the growth or size of epidemic outbreaks. Like any graph, these curves have limitations: they are impractical for comparisons of large and small outbreaks or of asynchronous outbreaks, and they do not display the relative growth rate of the epidemic. Our aim was to propose two additional graphical displays for the monitoring of epidemic outbreaks that overcome these limitations.

Keywords
  • Betacoronavirus
  • Coronavirus Infections/epidemiology
  • Data Interpretation, Statistical
  • Epidemiologic Methods
  • Humans
  • Models, Theoretical
  • Pandemics
  • Pneumonia, Viral/epidemiology
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Research groups
Citation (ISO format)
PERNEGER, Thomas et al. Alternative graphical displays for the monitoring of epidemic outbreaks, with application to COVID-19 mortality. In: BMC Medical Research Methodology, 2020, vol. 20, n° 1, p. 248. doi: 10.1186/s12874-020-01122-8
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Article (Published version)
accessLevelPublic CC BY
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Additional URL for this publicationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537983/pdf/12874_2020_Article_1122.pdf
Journal ISSN1471-2288
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Creation30/10/2020 13:32:00
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Update time16/03/2023 00:54:19
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