Viral genomes tracked and helped to understand the drivers of the 2024-2025 chikungunya epidemic on Réunion Island
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Viral genomes tracked and helped to understand the drivers of the 2024-2025 chikungunya epidemic on Réunion Island


Between August 2024 and June 2025, Réunion Island experienced a massive chikungunya epidemic, with more than 54,000 confirmed cases and 43 deaths, making it the second major Chikungunya virus outbreak on the island after the 2005-2006 epidemic, which had affected about a third of the islands’ population. Chikungunya is a mosquito-borne virus transmitted by Aedes mosquitoes; while rarely fatal, it causes severe joint pain that can persist for months or years. In 2025, the Réunion epidemic lineage went on to reach other Indian Ocean islands and, over the summer, fuelled unprecedented numbers of cases in more temperate regions of Europe and in China. Throughout the outbreak, the associated Arbovirus National Reference Center in Réunion carried out intensive genomic surveillance, sequencing more than 3,000 near-complete viral genomes across the whole island, a sampling fraction of confirmed cases matched for only a handful of other pathogens, such as Ebola and SARS-CoV-2. This dataset provided a strong basis to track how the virus evolved, spread, and eventually receded.

To exploit these data, the team of Belgian, French and American researchers applied phylodynamic and phylogeographic approaches (statistical methods that read the evolutionary relationships between viral genomes to reconstruct where and how a pathogen has travelled). The analyses indicate that the epidemic likely stemmed from a single introduction and that the virus then circulated in a highly intermixed fashion, with frequent movements between municipalities, driven by human mobility and population density. This human-driven spread was especially visible at the peak of the epidemic, with repeated viral exchanges between distant residential areas.

The researchers also examined the factors explaining why the epidemic ended. Their models show that the epidemic's dynamics were associated with climatic conditions (temperature and precipitation, which shape mosquito density and activity), but that climate alone cannot account for the decline in transmission. The gradual build-up of population immunity was, in theory, sufficient to push – on its own – the effective reproduction number below 1, bringing the outbreak to an end. With an estimated 66% of the population now immune to the virus, the authors conclude that the risk of a large resurgence is low. This prediction was borne out by the following season, during which only a handful of local cases were reported despite continued chikungunya virus circulation elsewhere in the Indian Ocean. The study shows the value of integrating genomic, demographic, environmental, and immunity data into epidemiological assessment, and points to concrete tools for the future, such as continuous seroprevalence monitoring to anticipate shifts in transmission and targeted vector control.
E. Frumence,R. Klitting,K. Serres,Y. Shao,F. Monti,M. Vincent,M.S. Gill,M.A. Suchard,P. Lemey,X. de Lamballerie,M. Jaffar-Bandjee, & S. Dellicour, Unraveling the epidemiological and dispersal dynamics of the 2024–2025 chikungunya virus epidemic on Réunion Island, Proc. Natl. Acad. Sci. U.S.A. 123 (38) e2621019123, https://doi.org/10.1073/pnas.2621019123 (2026).
Attached files
  • Illustration 1: reconstruction of the dispersal dynamic of the massive 2024-2025 chikungunya virus epidemic on Réunion island. This reconstruction is based on the analysis of more than 3,000 viral genomes sequenced during the outbreak (over 5% of all confirmed cases, a rare level of genomic coverage).
  • Illustration 2: analysis of the factors having impacted the course of the massive 2024-2025 chikungunya virus epidemic on Réunion island. The illustration displays four graphics: (A) the cumulative sampling map of the >3,000 viral genomes sequenced to analyse the epidemic; as well as the evolution during the epidemic of (B) the number of confirmed cases in relation to the evolution of climatic variables, (C) the viral population size, and (D) the effective reproduction number (the average number of new infections caused by one infected person at a specific point in time). The analyses show that the epidemic's dynamics were associated with climatic conditions (temperature and precipitation), and that the gradual build-up of population immunity was in theory sufficient to push the effective reproduction number below one, bringing the outbreak to an end.
  • Illustration 3: preparation of samples for the genomic sequencing of the chikungunya virus during the massive 2024-2025 chikungunya epidemic on Réunion island.
Regions: Europe, Belgium, France, North America, United States
Keywords: Health, Environmental health, Medical, Science, Life Sciences

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