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We developed a mathematical metapopulation model describing RVF virus transmission in livestock across the four islands of the Comoros archipelago, accounting for island-specific environments and inter-island animal movements. By fitting our model in a Bayesian framework to 2004\u20132015 surveillance data, we estimated the importance of environmental drivers and animal movements on disease persistence, and tested the impact of different control scenarios on reducing disease burden throughout the archipelago. Here we report that (i) the archipelago network was able to sustain viral transmission in the absence of explicit disease introduction events after early 2007, (ii) repeated outbreaks during 2004\u20132020 may have gone under-detected by local surveillance, and (iii) co-ordinated within-island control measures are more effective than between-island animal movement restrictions.<\/jats:p>","DOI":"10.1038\/s41467-021-25833-8","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T10:03:10Z","timestamp":1632304990000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape"],"prefix":"10.1038","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5822-6887","authenticated-orcid":false,"given":"Warren S. 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