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Age-specific chikungunya outbreak response immunisation strategies in Brazil: a modelling study

  • Hyolim Kang
  • , Ahyoung Lim
  • , Andrew Clark
  • , Felipe J. Colón González
  • , Hannah Eleanor Clapham
  • , Jean Paul Carrera
  • , Jong Hoon Kim
  • , Megan Auzenbergs
  • , Preethi Lakshminarayanan
  • , Sandra López-Vergès
  • , So Yoon Sim
  • , Su Myat Han
  • , Thiago Cerqueira-Silva
  • , Timothy Endy
  • , Zulma M. Cucunubá
  • , W. John Edmunds
  • , Sushant Sahastrabuddhe
  • , Oliver J. Brady
  • , Kaja Abbas
  • London School of Hygiene and Tropical Medicine
  • Nagasaki University
  • Wellcome Trust
  • National University of Singapore
  • Carson Centre for Health and Ecosystems Research
  • University of Oxford
  • International Vaccine Institute, Seoul
  • Imperial College London
  • Gorgas Memorial Institute for Health Studies
  • World Health Organization
  • Instituto Oswaldo Cruz - IOC
  • Coalition for Epidemic Preparedness Innovations
  • Yonsei University College of Medicine
  • University of Saint-Etienne
  • Public Health Foundation of India
  • National Institute of Infectious Diseases

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Two chikungunya vaccines, Ixchiq and Vimkunya are licensed. In April 2025, Brazil is the first endemic country to license Ixchiq, but optimal age groups for vaccination remain unclear. Our aim is to model the public health impact of age-specific chikungunya outbreak response immunisation strategies in Brazil and infer broader implications for vaccine use case scenarios in outbreak prone regions. Methods: We developed an age-structured transmission dynamic model calibrated with state-level Brazilian surveillance data for 2022 and long-term average annual force of infections. We simulated outbreak response immunisation strategies targeting ages 1–11, 12–17, 18–59, and ≥60 years for Ixchiq and Vimkunya across 11 out of 27 states in Brazil. We assessed vaccine impact by symptomatic cases, deaths, and disability-adjusted life years (DALYs) averted and number needed to vaccinate (NNV) based on vaccine protection against disease only and against both disease and infection. Findings: Ixchiq and Vimkunya showed similar vaccine impact. Across strategies, vaccinating children 1–11 years yielded the lowest NNV for both vaccines, whereas vaccinating adults 18–59 years achieved the greatest absolute reduction in symptomatic cases, averting 62.5% (95% Uncertainty Intervals [UI]: 54.2–84.1) of total symptomatic cases with Vimkunya and 66.2% (58.2–86.0) with Ixchiq, under disease and infection blocking mechanism. Vaccinating adults 18–59 years with Ixchiq or Vimkunya yielded similar efficiency, with NNVs to avert a DALY of 339 (39–3412) and 361 (40–3777) respectively, under disease and infection-blocking mechanism. Interpretation: Under current licensure, vaccinating adolescents aged 12–17 years first, followed by 18–59 years are efficient strategies, with similar NNVs for both Ixchiq and Vimkunya. If eligibility expands to younger populations, vaccinating 1–11-year age group will have relatively higher efficiency. Funding: International Vaccine Institute and Japan Agency for Medical Research and Development.

Original languageEnglish
Article number103690
JournaleClinicalMedicine
Volume90
DOIs
StatePublished - Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Age-specific vaccination
  • Chikungunya
  • Outbreak response immunisation
  • Vaccine impact modelling

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