On the reproduction number in epidemics
This note provides an elementary derivation of the basic reproduction number and the effective reproduction number from the discrete Kermack–McKendrick epidemic model. The derived formulae match those derived from the continuous version of the model; however, the derivation from discrete model is a...
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Taylor & Francis Group
2021
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oai:doaj.org-article:0cf2fafb5a124d6f96d9b8ac48e85e292021-11-26T11:19:48ZOn the reproduction number in epidemics1751-37581751-376610.1080/17513758.2021.2001584https://doaj.org/article/0cf2fafb5a124d6f96d9b8ac48e85e292021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/17513758.2021.2001584https://doaj.org/toc/1751-3758https://doaj.org/toc/1751-3766This note provides an elementary derivation of the basic reproduction number and the effective reproduction number from the discrete Kermack–McKendrick epidemic model. The derived formulae match those derived from the continuous version of the model; however, the derivation from discrete model is a bit more intuitive. The MATLAB functions for its calculation are given. A real case example is considered and the results are compared with those obtained by the R0 and the EpiEstim software packages.Milan BatistaTaylor & Francis Grouparticlebasic reproduction numbereffective reproduction numberkermack–mckendrick epidemic modelEnvironmental sciencesGE1-350Biology (General)QH301-705.5ENJournal of Biological Dynamics, Vol 15, Iss 1, Pp 623-634 (2021) |
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basic reproduction number effective reproduction number kermack–mckendrick epidemic model Environmental sciences GE1-350 Biology (General) QH301-705.5 |
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basic reproduction number effective reproduction number kermack–mckendrick epidemic model Environmental sciences GE1-350 Biology (General) QH301-705.5 Milan Batista On the reproduction number in epidemics |
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This note provides an elementary derivation of the basic reproduction number and the effective reproduction number from the discrete Kermack–McKendrick epidemic model. The derived formulae match those derived from the continuous version of the model; however, the derivation from discrete model is a bit more intuitive. The MATLAB functions for its calculation are given. A real case example is considered and the results are compared with those obtained by the R0 and the EpiEstim software packages. |
format |
article |
author |
Milan Batista |
author_facet |
Milan Batista |
author_sort |
Milan Batista |
title |
On the reproduction number in epidemics |
title_short |
On the reproduction number in epidemics |
title_full |
On the reproduction number in epidemics |
title_fullStr |
On the reproduction number in epidemics |
title_full_unstemmed |
On the reproduction number in epidemics |
title_sort |
on the reproduction number in epidemics |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/0cf2fafb5a124d6f96d9b8ac48e85e29 |
work_keys_str_mv |
AT milanbatista onthereproductionnumberinepidemics |
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1718409517581991936 |