Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution

DOI10.1016/j.mbs.2021.108648zbMath1475.92174OpenAlexW3173869574MaRDI QIDQ2241984

Wadim Koslow, Kathrin Rack, Michael E. Meyer-Hermann, Martin Siggel, Sebastian Binder, Jan Kleinert, Daniel Abele, Christoph D. Spinner, Xiao Xiang Zhu, Tanmay Mitra, Sahamoddin Khailaie, Margrit Klitz, Luca Spataro, Melanie Stecher, Jonas Gilg, Achim Basermann, Majid Abedi, Lena Plötzke, Martin J. Kühn, Matthias Häberle

Publication date: 9 November 2021

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2021.108648

zbMATH Keywords

forecastmitigationSARS-CoV-2coronavirus diseasenon-pharmaceutical interventionsCovid-19

Mathematics Subject Classification ID

Epidemiology (92D30) Mathematical geography and demography (91D20)

Related Items (1)

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Cites Work

• Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel coronavirus
• Effects of ventilation on the indoor spread of COVID-19

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