Prediction of local COVID-19 spread in Heidelberg [version 1; peer review: 1 approved, 2 approved with reservations]

Título

Prediction of local COVID-19 spread in Heidelberg [version 1; peer review: 1 approved, 2 approved with reservations]

Autor

Lisa Koeppel, Claudius Gottschalk, Andreas Welker, Britta Knorr, Claudia M. Denkinger

Descripción

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.

Fecha

2020

Identificador

10.12688/f1000research.23034.1

Fuente

Biotemas

Editor

Universidade Federal de Santa Catarina

Cobertura

Science, Medicine

Archivos

https://socictopen.socict.org/files/to_import/pdfs/39ade5103f4fbb422e68153515a1e00f.pdf

Colección

Citación

Lisa Koeppel, Claudius Gottschalk, Andreas Welker, Britta Knorr, Claudia M. Denkinger, “Prediction of local COVID-19 spread in Heidelberg [version 1; peer review: 1 approved, 2 approved with reservations],” SOCICT Open, consulta 16 de abril de 2026, https://www.socictopen.socict.org/items/show/5362.

Formatos de Salida

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