BMJ Global Health (Jul 2023)

Cost-effectiveness of measles and rubella elimination in low-income and middle-income countries

  • ,
  • Mark Jit,
  • Emilia Vynnycky,
  • Amy Winter,
  • Kevin McCarthy,
  • Ann Levin,
  • Winthrop Morgan,
  • Colleen Burgess,
  • Stephanie Shendale,
  • Raymond Cw Hutubessy,
  • Brian Lambert,
  • Heather Santos,
  • Jennifer K Knapp,
  • Lidia K Kayembe,
  • Matthew Ferrari,
  • Timos Papadopoulos

DOI
https://doi.org/10.1136/bmjgh-2022-011526
Journal volume & issue
Vol. 8, no. 7

Abstract

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Background Since 2000, the incidence of measles and rubella has declined as measles–rubella (MR) vaccine coverage increased due to intensified routine immunisation (RI) and supplementary immunisation activities (SIAs). The World Health Assembly commissioned a feasibility assessment of eliminating measles and rubella. The objective of this paper is to present the findings of cost-effectiveness analysis (CEA) of ramping up MR vaccination with a goal of eliminating transmission in every country.Methods We used projections of impact of routine and SIAs during 2018–2047 for four scenarios of ramping up MR vaccination. These were combined with economic parameters to estimate costs and disability-adjusted life years averted under each scenario. Data from the literature were used for estimating the cost of increasing routine coverage, timing of SIAs and introduction of rubella vaccine in countries.Results The CEA showed that all three scenarios with ramping up coverage above the current trend were more cost-effective in most countries than the 2018 trend for both measles and rubella. When the measles and rubella scenarios were compared with each other, the most cost-effective scenario was likely to be the most accelerated one. Even though this scenario is costlier, it averts more cases and deaths and substantially reduces the cost of treatment.Conclusions The Intensified Investment scenario is likely the most cost-effective of the vaccination scenarios evaluated for reaching both measles and rubella disease elimination. Some data gaps on costs of increasing coverage were identified and future efforts should focus on filling these gaps.