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Modelling Singapore’s Covid-19 Pandemic Using SEIRQV and Hybrid Epidemiological Models

  • Published:2023 Issue: Volume: Page:559-575
  • ISSN:
  • Container-title:IRC-SET 2022
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Author:

Mu Chuping,Teo Jovern,Cheong Joshua

Publisher

Springer Nature Singapore

Reference41 articles.

1. Levin, E. G., Lustig, Y., Cohen, C., Fluss, R., Indenbaum, V., Amit, S., Doolman, R., Asraf, K., Mendelson, E., Ziv, A., Rubin, C., Freedman, L., Kreiss, Y., & Regev-Yochay, G. (2021). Waning immune humoral response to BNT162b2 Covid-19 vaccine over 6 months. New England Journal of Medicine, 385(24), e84. https://doi.org/10.1056/NEJMoa2114583

2. Chemaitelly, H., Tang, P., Hasan, M. R., AlMukdad, S., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., Coyle, P., Ayoub, H. H., Al Kanaani, Z., Al Kuwari, E Jeremijenko, A., Kaleeckal, A. H., Latif, A. N. Shaik, R. M., Abdul Rahim, H. F., et al. (2021). Waning of BNT162b2 vaccine protection against SARS-CoV-2 infection in Qatar. New England Journal of Medicine. https://doi.org/10.1056/NEJMoa2114114

3. Cooper, I., Mondal, A., & Antonopoulos, C. G. (2020). A SIR model assumption for the spread of COVID-19 in different communities. Chaos, Solitons, and Fractals, 139, 110057. https://doi.org/10.1016/j.chaos.2020.110057

4. Carcione, J. M., Santos, J. E., Bagaini, C., & Ba, J. (2020). A simulation of a COVID-19 epidemic based on a deterministic SEIR model. Frontiers in Public Health, 8, 230. https://doi.org/10.3389/fpubh.2020.00230

5. Musulin, J., Baressi Šegota, S., Štifanić, D., Lorencin, I., Anđelić, N., Šušteršič, T., Blagojević, A., Filipović, N., Ćabov, T., & Markova-Car, E. (2021). Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: A systematic review. International Journal of Environmental. https://doi.org/10.3390/ijerph18084287

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