What, how and who: Cost-effectiveness analyses of COVID-19 vaccination to inform key policies in Nigeria.


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2023
Historique:
received: 05 09 2022
accepted: 10 02 2023
entrez: 24 3 2023
pubmed: 25 3 2023
medline: 25 3 2023
Statut: epublish

Résumé

While safe and efficacious COVID-19 vaccines have achieved high coverage in high-income settings, roll-out remains slow in sub-Saharan Africa. By April 2022, Nigeria, a country of over 200 million people, had only distributed 34 million doses. To ensure the optimal use of health resources, cost-effectiveness analyses can inform key policy questions in the health technology assessment process. We carried out several cost-effectiveness analyses exploring different COVID-19 vaccination scenarios in Nigeria. In consultation with Nigerian stakeholders, we addressed three key questions: what vaccines to buy, how to deliver them and what age groups to target. We combined an epidemiological model of virus transmission parameterised with Nigeria specific data with a costing model that incorporated local resource use assumptions and prices, both for vaccine delivery as well as costs associated with care and treatment of COVID-19. Scenarios of vaccination were compared with no vaccination. Incremental cost-effectiveness ratios were estimated in terms of costs per disability-adjusted life years averted and compared to commonly used cost-effectiveness ratios. Viral vector vaccines are cost-effective (or cost saving), particularly when targeting older adults. Despite higher efficacy, vaccines employing mRNA technologies are less cost-effective due to high current dose prices. The method of delivery of vaccines makes little difference to the cost-effectiveness of the vaccine. COVID-19 vaccines can be highly effective and cost-effective (as well as cost-saving), although an important determinant of the latter is the price per dose and the age groups prioritised for vaccination. From a health system perspective, viral vector vaccines may represent most cost-effective choices for Nigeria, although this may change with price negotiation.

Identifiants

pubmed: 36963054
doi: 10.1371/journal.pgph.0001693
pii: PGPH-D-22-01313
pmc: PMC10032534
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0001693

Informations de copyright

Copyright: © 2023 Ruiz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Francis J Ruiz (FJ)

Department of Global Health & Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Sergio Torres-Rueda (S)

Department of Global Health & Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Carl A B Pearson (CAB)

Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, Republic of South Africa.

Eleanor Bergren (E)

Department of Global Health & Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Chinyere Okeke (C)

Department of Community Medicine, University of Nigeria Nsukka, Enugu Campus, Nsukka, Nigeria.

Simon R Procter (SR)

Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Andres Madriz-Montero (A)

Department of Global Health & Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Mark Jit (M)

Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Anna Vassall (A)

Department of Global Health & Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Benjamin S C Uzochukwu (BSC)

Department of Community Medicine, University of Nigeria Nsukka, Enugu Campus, Nsukka, Nigeria.

Classifications MeSH