A non-parametric method for determining epidemiological reproduction numbers

In the spreading of infectious diseases, an important number to determine is how many other people will be infected on average by anyone who has become infected themselves. This is known as the reproduction number. This paper describes a non-parametric inverse method for extracting the full transfer...

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Autor principal: Pijpers, Frank P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958596/
https://www.ncbi.nlm.nih.gov/pubmed/33721104
http://dx.doi.org/10.1007/s00285-021-01590-6
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author_facet Pijpers, Frank P.
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description In the spreading of infectious diseases, an important number to determine is how many other people will be infected on average by anyone who has become infected themselves. This is known as the reproduction number. This paper describes a non-parametric inverse method for extracting the full transfer function of infection, of which the reproduction number is the integral. The method is demonstrated by applying it to the timeline of hospitalisation admissions for covid-19 in the Netherlands up to May 20 2020, which is publicly available from the site of the Dutch National Institute of Public Health and the Environment (rivm.nl).
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spelling pubmed-79585962021-03-15 A non-parametric method for determining epidemiological reproduction numbers Pijpers, Frank P. J Math Biol Article In the spreading of infectious diseases, an important number to determine is how many other people will be infected on average by anyone who has become infected themselves. This is known as the reproduction number. This paper describes a non-parametric inverse method for extracting the full transfer function of infection, of which the reproduction number is the integral. The method is demonstrated by applying it to the timeline of hospitalisation admissions for covid-19 in the Netherlands up to May 20 2020, which is publicly available from the site of the Dutch National Institute of Public Health and the Environment (rivm.nl). Springer Berlin Heidelberg 2021-03-15 2021 /pmc/articles/PMC7958596/ /pubmed/33721104 http://dx.doi.org/10.1007/s00285-021-01590-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pijpers, Frank P.
A non-parametric method for determining epidemiological reproduction numbers
title A non-parametric method for determining epidemiological reproduction numbers
title_full A non-parametric method for determining epidemiological reproduction numbers
title_fullStr A non-parametric method for determining epidemiological reproduction numbers
title_full_unstemmed A non-parametric method for determining epidemiological reproduction numbers
title_short A non-parametric method for determining epidemiological reproduction numbers
title_sort non-parametric method for determining epidemiological reproduction numbers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958596/
https://www.ncbi.nlm.nih.gov/pubmed/33721104
http://dx.doi.org/10.1007/s00285-021-01590-6
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