How Vaccination Helps to Relax the Population Mobility: An Agent-Based Model Approach
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56794-0_9
Reference22 articles.
1. Nouvellet, P., Bhatia, S., Cori, A., Ainslie, K.E., Baguelin, M., Bhatt, S., Boonyasiri, A., Brazeau, N.F., Cattarino, L., Cooper, L.V., et al.: Reduction in mobility and covid-19 transmission. Nat. Commun. 12(1), 1–9 (2021)
2. Chang, S.L., Harding, N., Zachreson, C., Cliff, O.M., Prokopenko, M.: Modelling transmission and control of the COVID-19 pandemic in Australia. Nat. Commun. 11(1), 5710 (2020)
3. Kato, H., Takizawa, A.: Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city. PLoS One 17(9), e0267335 (2022)
4. Jewell, S., Futoma, J., Hannah, L., Miller, A.C., Foti, N.J., Fox, E.B.: It’s complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US. NPJ Digital Med. 4(1), 1–11 (2021)
5. Levin, R., Chao, D.L., Wenger, E.A., Proctor, J.L.: Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning. Nat. Comput. Sci. 1(9), 588–597 (2021)
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