Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic
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DOI: 10.1038/s41467-021-21899-6
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Cited by:
- Arnab K Ghosh & Sara Venkatraman & Evgeniya Reshetnyak & Mangala Rajan & Anjile An & John K Chae & Mark A Unruh & David Abramson & Charles DiMaggio & Nathaniel Hupert, 2022. "Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-13, March.
- Trystan Leng & Edward M. Hill & Alex Holmes & Emma Southall & Robin N. Thompson & Michael J. Tildesley & Matt J. Keeling & Louise Dyson, 2022. "Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Christiaan H. van Dorp & Emma E. Goldberg & Nick Hengartner & Ruian Ke & Ethan O. Romero-Severson, 2021. "Estimating the strength of selection for new SARS-CoV-2 variants," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
- Otilia Boldea & Adriana Cornea-Madeira & João Madeira, 2023. "Disentangling the effect of measures, variants, and vaccines on SARS-CoV-2 infections in England: a dynamic intensity model," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 444-466.
- Maira Aguiar & Giovanni Dosi & Damian A. Knopoff & Maria Enrica Virgillito, 2021. "A multiscale network-based model of contagion dynamics: heterogeneity, spatial distancing and vaccination," LEM Papers Series 2021/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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