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Comparing COVID-19 vaccine allocation strategies in India: A mathematical modelling study.
Foy, Brody H; Wahl, Brian; Mehta, Kayur; Shet, Anita; Menon, Gautam I; Britto, Carl.
  • Foy BH; Systems Biology Department, Harvard Medical School, USA; Center for Systems Biology and Department of Pathology, Massachusetts General Hospital, USA.
  • Wahl B; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA; International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
  • Mehta K; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA; International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
  • Shet A; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA; International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
  • Menon GI; Departments of Physics and Biology, Ashoka University, Sonepat, India; Theoretical Physics and Computational Biology, The Institute of Mathematical Sciences, Chennai, India.
  • Britto C; Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Division of Infectious Disease, St. John's Research Institute, Bengaluru, India. Electronic address: carl.britto@childrens.harvard.edu.
Int J Infect Dis ; 103: 431-438, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1002637
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ABSTRACT

BACKGROUND:

The development and widespread use of an effective SARS-CoV-2 vaccine could prevent substantial morbidity and mortality associated with COVID-19 and mitigate the secondary effects associated with non-pharmaceutical interventions.

METHODS:

We used an age-structured, expanded SEIR model with social contact matrices to assess age-specific vaccine allocation strategies in India. We used state-specific age structures and disease transmission coefficients estimated from confirmed incident cases of COVID-19 between 1 July and 31 August 2020. Simulations were used to investigate the relative reduction in mortality and morbidity of vaccine allocation strategies based on prioritizing different age groups, and the interactions of these strategies with concurrent non-pharmaceutical interventions. Given the uncertainty associated with COVID-19 vaccine development, we varied vaccine characteristics in the modelling simulations.

RESULTS:

Prioritizing COVID-19 vaccine allocation for older populations (i.e., >60 years) led to the greatest relative reduction in deaths, regardless of vaccine efficacy, control measures, rollout speed, or immunity dynamics. Preferential vaccination of this group often produced relatively higher total symptomatic infections and more pronounced estimates of peak incidence than other assessed strategies. Vaccine efficacy, immunity type, target coverage, and rollout speed significantly influenced overall strategy effectiveness, with the time taken to reach target coverage significantly affecting the relative mortality benefit comparative to no vaccination.

CONCLUSIONS:

Our findings support global recommendations to prioritize COVID-19 vaccine allocation for older age groups. Relative differences between allocation strategies were reduced as the speed of vaccine rollout was increased. Optimal vaccine allocation strategies will depend on vaccine characteristics, strength of concurrent non-pharmaceutical interventions, and region-specific goals.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / SARS-CoV-2 / COVID-19 / Models, Theoretical Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Vaccines Limits: Adult / Aged / Female / Humans / Middle aged / Young adult Country/Region as subject: Asia Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: J.ijid.2020.12.075

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / SARS-CoV-2 / COVID-19 / Models, Theoretical Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Vaccines Limits: Adult / Aged / Female / Humans / Middle aged / Young adult Country/Region as subject: Asia Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: J.ijid.2020.12.075