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Modeling the SARS-CoV-2 Omicron variant dynamics in the United States with booster dose vaccination and waning immunity.
León, Ugo Avila-Ponce de; Pérez, Angel G C; Avila-Vales, Eric.
  • León UA; Programa de Doctorado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Mexico City, Mexico.
  • Pérez AGC; Facultad de Matemáticas, Universidad Autónoma de Yucatán, Anillo Periférico Norte, Tablaje Catastral 13615, C.P. 97119, Mérida, Yucatán, Mexico.
  • Avila-Vales E; Facultad de Matemáticas, Universidad Autónoma de Yucatán, Anillo Periférico Norte, Tablaje Catastral 13615, C.P. 97119, Mérida, Yucatán, Mexico.
Math Biosci Eng ; 20(6): 10909-10953, 2023 Apr 21.
Article in English | MEDLINE | ID: covidwho-2313997
ABSTRACT
We carried out a theoretical and numerical analysis for an epidemic model to analyze the dynamics of the SARS-CoV-2 Omicron variant and the impact of vaccination campaigns in the United States. The model proposed here includes asymptomatic and hospitalized compartments, vaccination with booster doses, and the waning of natural and vaccine-acquired immunity. We also consider the influence of face mask usage and efficiency. We found that enhancing booster doses and using N95 face masks are associated with a reduction in the number of new infections, hospitalizations and deaths. We highly recommend the use of surgical face masks as well, if usage of N95 is not a possibility due to the price range. Our simulations show that there might be two upcoming Omicron waves (in mid-2022 and late 2022), caused by natural and acquired immunity waning with respect to time. The magnitude of these waves will be 53% and 25% lower than the peak in January 2022, respectively. Hence, we recommend continuing to use face masks to decrease the peak of the upcoming COVID-19 waves.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: North America Language: English Journal: Math Biosci Eng Year: 2023 Document Type: Article Affiliation country: Mbe.2023484

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: North America Language: English Journal: Math Biosci Eng Year: 2023 Document Type: Article Affiliation country: Mbe.2023484