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We contrasted these estimates with simple null models representing the absence of certain public health measures. We show that Switzerland\u2019s border closures decoupled case introductions from incidence in neighboring countries. Under a simple model, we estimate an 86 to 98% reduction in introductions during Switzerland\u2019s strictest border closures. Furthermore, the Swiss 2020 partial lockdown roughly halved the time for sampled introductions to die out. Last, we quantified local transmission dynamics once introductions into Switzerland occurred using a phylodynamic model. We found that transmission slowed 35 to 63% upon outbreak detection in summer 2020 but not in fall. This finding may indicate successful contact tracing over summer before overburdening in fall. The study highlights the added value of genome sequencing data for understanding transmission dynamics.<\/jats:p>","DOI":"10.1126\/scitranslmed.abn7979","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T10:47:48Z","timestamp":1667904468000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":30,"title":["Swiss public health measures associated with reduced SARS-CoV-2 transmission using genome data"],"prefix":"10.1126","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1008-8918","authenticated-orcid":true,"given":"Sarah A.","family":"Nadeau","sequence":"first","affiliation":[{"name":"Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland."},{"name":"SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy 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