Prediction of local COVID-19 spread in Heidelberg

Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecas...

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Autores principales: Koeppel, Lisa, Gottschalk, Claudius, Welker, Andreas, Knorr, Britta, Denkinger, Claudia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445560/
https://www.ncbi.nlm.nih.gov/pubmed/32864101
http://dx.doi.org/10.12688/f1000research.23034.1
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author Koeppel, Lisa
Gottschalk, Claudius
Welker, Andreas
Knorr, Britta
Denkinger, Claudia M.
author_facet Koeppel, Lisa
Gottschalk, Claudius
Welker, Andreas
Knorr, Britta
Denkinger, Claudia M.
author_sort Koeppel, Lisa
collection PubMed
description Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures.
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spelling pubmed-74455602020-08-27 Prediction of local COVID-19 spread in Heidelberg Koeppel, Lisa Gottschalk, Claudius Welker, Andreas Knorr, Britta Denkinger, Claudia M. F1000Res Research Article Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures. F1000 Research Limited 2020-04-02 /pmc/articles/PMC7445560/ /pubmed/32864101 http://dx.doi.org/10.12688/f1000research.23034.1 Text en Copyright: © 2020 Koeppel L et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Koeppel, Lisa
Gottschalk, Claudius
Welker, Andreas
Knorr, Britta
Denkinger, Claudia M.
Prediction of local COVID-19 spread in Heidelberg
title Prediction of local COVID-19 spread in Heidelberg
title_full Prediction of local COVID-19 spread in Heidelberg
title_fullStr Prediction of local COVID-19 spread in Heidelberg
title_full_unstemmed Prediction of local COVID-19 spread in Heidelberg
title_short Prediction of local COVID-19 spread in Heidelberg
title_sort prediction of local covid-19 spread in heidelberg
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445560/
https://www.ncbi.nlm.nih.gov/pubmed/32864101
http://dx.doi.org/10.12688/f1000research.23034.1
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