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Prediction of local COVID-19 spread in Heidelberg.
Koeppel, Lisa; Gottschalk, Claudius; Welker, Andreas; Knorr, Britta; Denkinger, Claudia M.
Affiliation
  • Koeppel L; Division of Tropical Medicine, Heidelberg University, Heidelberg, Germany.
  • Gottschalk C; Division of Tropical Medicine, Heidelberg University, Heidelberg, Germany.
  • Welker A; Gesundheitsamt des Rhein-Neckar-Kreises, Heidelberg, Germany.
  • Knorr B; Gesundheitsamt des Rhein-Neckar-Kreises, Heidelberg, Germany.
  • Denkinger CM; Division of Tropical Medicine, Heidelberg University, Heidelberg, Germany.
F1000Res ; 9: 232, 2020.
Article in En | MEDLINE | ID: mdl-32864101
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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Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: F1000Res Year: 2020 Type: Article Affiliation country: Germany

Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: F1000Res Year: 2020 Type: Article Affiliation country: Germany