Author: Nicolas Banholzer; Eva van Weenen; Bernhard Kratzwald; Arne Seeliger; Daniel Tschernutter; Pierluigi Bottrighi; Alberto Cenedese; Joan Puig Salles; Stefan Feuerriegel; Werner Vach
Title: Estimating the impact of non-pharmaceutical interventions on documented infections with COVID-19: A cross-country analysis Document date: 2020_4_21
ID: mds06a8i_23
Snippet: We assume the number of new cases of COVID-19 to be affected by which NPIs are implemented. We assume that NPIs can only influence new case numbers with a delay of t 0 = 7 days. This is informed by prior research on SARS-CoV-2 transmissions, which indicate an incubation period of around 7 days 3,31 and, hence, we expect policy measures to affect the number of new cases with the same time delay. The impact of this assumption on the results is late.....
Document: We assume the number of new cases of COVID-19 to be affected by which NPIs are implemented. We assume that NPIs can only influence new case numbers with a delay of t 0 = 7 days. This is informed by prior research on SARS-CoV-2 transmissions, which indicate an incubation period of around 7 days 3,31 and, hence, we expect policy measures to affect the number of new cases with the same time delay. The impact of this assumption on the results is later studied as part of a sensitivity analysis.
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