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Estimating epidemic exponential growth rate and basic reproduction number
The initial exponential growth rate of an epidemic is an important measure of the severeness of the epidemic, and is also closely related to the basic reproduction number. Estimating the growth rate from the epidemic curve can be a challenge, because of its decays with time. For fast epidemics, the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962332/ https://www.ncbi.nlm.nih.gov/pubmed/31956741 http://dx.doi.org/10.1016/j.idm.2019.12.009 |
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author | Ma, Junling |
author_facet | Ma, Junling |
author_sort | Ma, Junling |
collection | PubMed |
description | The initial exponential growth rate of an epidemic is an important measure of the severeness of the epidemic, and is also closely related to the basic reproduction number. Estimating the growth rate from the epidemic curve can be a challenge, because of its decays with time. For fast epidemics, the estimation is subject to over-fitting due to the limited number of data points available, which also limits our choice of models for the epidemic curve. We discuss the estimation of the growth rate using maximum likelihood method and simple models. |
format | Online Article Text |
id | pubmed-6962332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-69623322020-01-17 Estimating epidemic exponential growth rate and basic reproduction number Ma, Junling Infect Dis Model Confronting Infectious Disease Models with Public Health Data; Edited by Prof. Michael Li, Prof. Julien Arino, Prof. Junling Ma, Prof. Zen Jin The initial exponential growth rate of an epidemic is an important measure of the severeness of the epidemic, and is also closely related to the basic reproduction number. Estimating the growth rate from the epidemic curve can be a challenge, because of its decays with time. For fast epidemics, the estimation is subject to over-fitting due to the limited number of data points available, which also limits our choice of models for the epidemic curve. We discuss the estimation of the growth rate using maximum likelihood method and simple models. KeAi Publishing 2020-01-08 /pmc/articles/PMC6962332/ /pubmed/31956741 http://dx.doi.org/10.1016/j.idm.2019.12.009 Text en © 2019 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Confronting Infectious Disease Models with Public Health Data; Edited by Prof. Michael Li, Prof. Julien Arino, Prof. Junling Ma, Prof. Zen Jin Ma, Junling Estimating epidemic exponential growth rate and basic reproduction number |
title | Estimating epidemic exponential growth rate and basic reproduction number |
title_full | Estimating epidemic exponential growth rate and basic reproduction number |
title_fullStr | Estimating epidemic exponential growth rate and basic reproduction number |
title_full_unstemmed | Estimating epidemic exponential growth rate and basic reproduction number |
title_short | Estimating epidemic exponential growth rate and basic reproduction number |
title_sort | estimating epidemic exponential growth rate and basic reproduction number |
topic | Confronting Infectious Disease Models with Public Health Data; Edited by Prof. Michael Li, Prof. Julien Arino, Prof. Junling Ma, Prof. Zen Jin |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962332/ https://www.ncbi.nlm.nih.gov/pubmed/31956741 http://dx.doi.org/10.1016/j.idm.2019.12.009 |
work_keys_str_mv | AT majunling estimatingepidemicexponentialgrowthrateandbasicreproductionnumber |