Climate-dependent effectiveness of nonpharmaceutical interventions on COVID-19 mitigation

DOI10.1016/j.mbs.2023.109087OpenAlexW4387745683MaRDI QIDQ6194292

Jude Dzevela Kong, Lin Wang, Pouria Ramazi, Hao Wang, Juping Ji, James Watmough

Publication date: 14 February 2024

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2023.109087

zbMATH Keywords

inverse methodmachine learningtransmission ratenonpharmaceutical interventionsenvironmental conditionsgeneralized boosting model

Mathematics Subject Classification ID

Epidemiology (92D30) Medical epidemiology (92C60) Climate science and climate modeling (86A08)

Cites Work

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• The inverse method for a childhood infectious disease model with its application to pre-vaccination and post-vaccination measles data
• Vaccine hesitancy promotes emergence of new SARS-CoV-2 variants

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