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We analyse more than more than 3,000 time-stamped and geo-referenced near-full chikungunya genomes representing more than 5% of confirmed cases, to assess the epidemiological and dispersal dynamics of the virus. In brief 👇

>> We find that virus dispersal events were on average more likely between geographically close locations with, however, frequent dispersal between distant residential areas, at least partly due to human mobility 🚗

>> Finally, we show that the population immunity resulting from both the current and the 2005-2006 epidemic is sufficient to explain the decrease in transmission rate leading to the end of the epidemic. 📉