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Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region: a mathematical modelling study.
Liu, Yang; Sandmann, Frank G; Barnard, Rosanna C; Pearson, Carl A B; Pastore, Roberta; Pebody, Richard; Flasche, Stefan; Jit, Mark.
  • Liu Y; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Sandmann FG; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Barnard RC; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Pearson CAB; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Pastore R; Statistics, Modelling and Economics Department, National Infection Service, Public Health England; 61 Colindale Ave, London, United Kingdom NW9 5EQ.
  • Pebody R; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Flasche S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
  • Jit M; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine; Keppel St, London, United Kingdom WC1E 7HT.
Lancet Reg Health Eur ; 12: 100267, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1540829
ABSTRACT

BACKGROUND:

Countries in the World Health Organization (WHO) European Region differ in terms of the COVID-19 vaccine supply conditions. We evaluated the health and economic impact of different age-based vaccine prioritisation strategies across this demographically and socio-economically diverse region.

METHODS:

We fitted age-specific compartmental models to the reported daily COVID-19 mortality in 2020 to inform the immunity level before vaccine roll-out. Models capture country-specific differences in population structures, contact patterns, epidemic history, life expectancy, and GDP per capita.We examined four strategies that prioritise all adults (V+), younger (20-59 year-olds) followed by older adults (60+) (V20), older followed by younger adults (V60), and the oldest adults (75+) (V75) followed by incrementally younger age groups. We explored four roll-out scenarios (R1-4) - the slowest scenario (R1) reached 30% coverage by December 2022 and the fastest (R4) 80% by December 2021. Five decision-making metrics were summarised over 2021-22 mortality, morbidity, and losses in comorbidity-adjusted life expectancy, comorbidity- and quality-adjusted life years, and human capital. Six vaccine profiles were tested - the highest performing vaccine has 95% efficacy against both infection and disease, and the lowest 50% against diseases and 0% against infection.

FINDINGS:

Of the 20 decision-making metrics and roll-out scenario combinations, the same optimal strategy applied to all countries in only one combination; V60 was more or similarly desirable than V75 in 19 combinations. Of the 38 countries with fitted models, 11-37 countries had variable optimal strategies by decision-making metrics or roll-out scenarios. There are greater benefits in prioritising older adults when roll-out is slow and when vaccine profiles are less favourable.

INTERPRETATION:

The optimal age-based vaccine prioritisation strategies were sensitive to country characteristics, decision-making metrics, and roll-out speeds. A prioritisation strategy involving more age-based stages (V75) does not necessarily lead to better health and economic outcomes than targeting broad age groups (V60). Countries expecting a slow vaccine roll-out may particularly benefit from prioritising older adults.

FUNDING:

World Health Organization, Bill and Melinda Gates Foundation, the Medical Research Council (United Kingdom), the National Institute of Health Research (United Kingdom), the European Commission, the Foreign, Commonwealth and Development Office (United Kingdom), Wellcome Trust.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: Lancet Reg Health Eur Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: Lancet Reg Health Eur Year: 2022 Document Type: Article