Issue |
Math. Model. Nat. Phenom.
Volume 17, 2022
Coronavirus: Scientific insights and societal aspects
|
|
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Article Number | 9 | |
Number of page(s) | 20 | |
DOI | https://doi.org/10.1051/mmnp/2022017 | |
Published online | 20 May 2022 |
- S. Anita, M. Banerjee, S. Ghosh and V. Volpert, Vaccination in a two-group epidemic model. Appl. Math. Lett. 119 (2021) 107197. [CrossRef] [Google Scholar]
- F. Balabdaoui and D. Mohr, Age-stratified discrete compartment model of the COVID-19 epidemic with application to Switzerland. Sci. Rep. 10 (2020) 1–12. [CrossRef] [Google Scholar]
- L. Berec, M. Smid, L. Pribylova, O. Majek, T. Pavlik, J. Jarkovsky, M. Zajicek, J. Weiner, T. Barusova and J. Trnka, Real-life protection provided by vaccination, booster doses and previous infection against covid-19 infection, hospitalisation or death over time in the Czech Republic: a whole country retrospective view. medRxiv (2021). [Google Scholar]
- D. Bichara and A. Iggidr, Multi-patch and multi-group epidemic models: a new framework. J. Math. Biol. 77 (2018) 107–134. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
- P. Bosetti, C.T. Kiem, A. Andronico, J. Paireau, C. Emergen and S. Cauchemez, Complément d’Analyse. Impact du sous- variant BA.2 et du relâchement des mesures de contrôle en France métropolitaine (2022). [Google Scholar]
- A. Bouchnita, S.J. Fox, J.L.H.-D. Michael Lachmann, G. Gibson and L.A. Meyers, COVID-19 Scenario Projections: The Emergence of Omicron in the US - January 2022. The University of Texas CO VID-19 Modeling Consortium (2022). [Google Scholar]
- A. Bouchnita and A. Jebrane, A hybrid multi-scale model of COVID-19 transmission dynamics to assess the potential of non-pharmaceutical interventions. Chaos Solitons Fractals 138 (2020). [Google Scholar]
- F. Brauer, C. Castillo-Chavez and Z. Feng, vol. 32 of Mathematical models in epidemiology. Springer (2019). [Google Scholar]
- M.C. Chan, K.P. Hui, J. Ho, M.C. Cheung, K.C. Ng, R. Ching, K.L. Lai, T. Kam, H. Gu, K.-Y. Sit et al., SARS-CoV-2 Omicron variant replication in human respiratory tract ex vivo, https://doi.org/10.21203/rs.3.rs-1189219/v1, (2021). [Google Scholar]
- H. Chemaitelly et. al., Duration of mRNA vaccine protection againstSARS-CoV-2 Omicron BA. 1 and BA. 2 subvariants in Qatar. medRxiv (2022). [Google Scholar]
- F. Ebrahim, S. Tabal, Y. Lamami, I.M. Alhudiri, S.E. El Meshri, S.M. Al Dwigen, R. Arfa, A. Alboeshi, H.A. Alemam, F. Abuhtna et al., Anti-SARS-CoV-2 IgG antibodies after recovery from COVID-19 or vaccination in Libyan population: comparison of four vaccines. medRxiv (2022). [Google Scholar]
- European Centre for Disease Prevention and Control, Seasonal influenza 2018-2019. ECDC. Annual Epidemiological Report for 2018 (2019). [Google Scholar]
- S. Ghosh, V. Volpert and M. Banerjee, An epidemic model with time-distributed recovery and death rates. Preprint. [Google Scholar]
- M.A. Gilchrist and A. Sasaki, Modeling host-parasite coevolution: a nested approach based on mechanistic models. J. Theor. Biol. 218 (2002) 289–308. [CrossRef] [Google Scholar]
- H.W. Hethcote, The mathematics of infectious diseases. SIAM Rev. 42 (2000) 599–653. [CrossRef] [MathSciNet] [Google Scholar]
- H.S. Hurd and J.B. Kaneene, The application of simulation models and systems analysis in epidemiology: a review. Prevent. Veter. Med. 15 (1993) 81–99. [CrossRef] [Google Scholar]
- M.J. Keeling and K.T. Eames, Networks and epidemic models. J. Royal Soc. Interface 2 (2005) 295–307. [CrossRef] [PubMed] [Google Scholar]
- C.T. Kelley, Iterative methods for optimization, SIAM (1999). [Google Scholar]
- J. Love, L.T. Keegan, F.J. Angulo, J.M. McLaughlin, K.M. Shea, D.L. Swerdlow, M.H. Samore and D.J. Toth, Continued need for non-pharmaceutical interventions after COVID-19 vaccination in long-term-care facilities. Sci. Rep. 11 (2021) 1–5. [CrossRef] [Google Scholar]
- J. Marchi, M. Lassig, A.M. Walczak and T. Mora, Antigenic waves of virus-immune coevolution. Proc. Natl. Acad. Sci. 118 (2021), e2103398118. [CrossRef] [PubMed] [Google Scholar]
- D.H. May, B. Rubin, S.C. Dalai, K. Patel, S. Shafiani, R. Elyanow, M.T. Noakes, T.M. Snyder and H.S. Robins, Omicron variant partially escapes the T-cell response induced by SARS-CoV-2 vaccines, https://www.adaptivebiotech.com/wp-content/uploads/2021/12/omicron_t_cell_impact.pdf, (2021). [Google Scholar]
- B. Meng, A. Abdullahi, I.A. Ferreira, N. Goonawardane, A. Saito, I. Kimura, D. Yamasoba, P.P. Gerber, S. Fatihi, S. Rathore et al., Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts tropism and fusogenicity, Nature (2022) 1–1. [Google Scholar]
- B.Y. Reis, I.S. Kohane and K.D. Mandl, An epidemiological network model for disease outbreak detection. PLoS Med. 4 (2007) e210. [CrossRef] [PubMed] [Google Scholar]
- R.J. Rockett, A. Arnott, C. Lam, R. Sadsad, V. Timms, K.-A. Gray, J.-S. Eden, S. Chang, M. Gall, J. Draper et al., Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling. Nat. Med. 26 (2020) 1398–1404. [CrossRef] [PubMed] [Google Scholar]
- R.P. Sharma, S. Gautam, P. Sharma, R. Singh, H. Sharma, D. Parsoya, F. Deba, N. Bhomia, V.A. Potdar, P.D. Yadav et al., Clinico epidemiological profile of Omicron variant of SARS CoV2 in Rajasthan. medRxiv (2022). [Google Scholar]
- S. Sharma, V. Volpert and M. Banerjee, Extended SEIQR type model for COVID-19 epidemic and data analysis. Math. Biosci. Eng. 17 (2020) 7562–7604. [Google Scholar]
- J. Viana, C.H. van Dorp, A. Nunes, M.C. Gomes, M. van Boven, M.E. Kretzschmar, M. Veldhoen and G. Rozhnova, Controlling the pandemic during the SARS-CoV-2 vaccination rollout. Nat. Commun. 12 (2021) 1–15. [CrossRef] [Google Scholar]
- J. Yu, A.Y. Collier et al., Neutralization of the SARS-CoV-2 Omicron BA.1 and BA.2 Variants. N. Engl. J. Med. (2022). [Google Scholar]
- Y. Yuan and J. Bélair, Threshold dynamics in an SEIRS model with latency and temporary immunity. J. Math. Biol. 69 (2014) 875–904. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
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