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Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2
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Nitzsche, Christian; Simm, Stefan (2024): Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2 . Scientific Reports. DOI: 10.1038/s41598-024-63795-1
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https://www.hs-coburg.de/publikation/4558-agent-based-modeling-to-estimate-the-impact-of-lockdown-scenarios-and-events-on-a-pandemic-exemplified-on-sars-cov-2/
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Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2
Titel:
Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2
Veröffentlichungsdatum:
11.06.2024
Publikationsart:
Zeitschriftenbeiträge
Forschungsschwerpunkt:
Medien:
Scientific Reports
DOI:
Weblink:
Heft:
Band:
Artikelnummer:
ISBN:
Autoren:
Christian Nitzsche, Stefan Simm
Medien:
Scientific Reports
Herausgeber:
Seiten:
Open Access:
Peer reviewed:
Nein
Zitierung:
Nitzsche, Christian; Simm, Stefan (2024): Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2 . Scientific Reports. DOI: 10.1038/s41598-024-63795-1