Impact of high-risk and low-risk population on COVID-19 dynamics considering antimicrobial resistance and control strategies
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,Fluid Flow and Transfer Processes
Link
https://link.springer.com/content/pdf/10.1140/epjp/s13360-023-04328-z.pdf
Reference37 articles.
1. G.M. Knight et al., Antimicrobial resistance and COVID-19: Intersections and implications. eLife 10, 56 (2021). https://doi.org/10.7554/elife.64139
2. R. Nieuwlaat et al., Coronavirus disease 2019 and antimicrobial resistance: parallel and interacting health emergencies. Clin. Infectious Dis. 72(9), 1657–1659 (2020). https://doi.org/10.1093/cid/ciaa773
3. R. Asempapa et al., A COVID-19 mathematical model of at-risk populations with nonpharmaceutical preventive measures: the case of Brazil and South Africa. Infect. Dis. Modell. 7(1), 45–61 (2022). https://doi.org/10.1016/j.idm.2021.11.005
4. C. Kavitha, A. Gowrisankar, S. Banerjee, The second and third waves in India: when will the pandemic be culminated? Eur. Phys. J. Plus 136, 5 (2021). https://doi.org/10.1140/epjp/s13360-021-01586-7
5. A. Gowrisankar, T.M.C. Priyanka, S. Banerjee, Omicron: a mysterious variant of concern. Eur. Phys. J. Plus 137, 1 (2022). https://doi.org/10.1140/epjp/s13360-021-02321-y
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