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dc.contributor.authorLemaitre, Joseph Chadi et al.
dc.date.accessioned2020-05-19T19:05:11Z
dc.date.available2020-05-19T19:05:11Z
dc.date.issued2020-05-08
dc.identifier.urihttps://doi.org/10.1101/2020.05.04.20090639en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/1562
dc.description.abstractFollowing the rapid dissemination of COVID-19 cases in Switzerland, large-scale non- pharmaceutical interventions (NPIs) were implemented by the cantons and the federal government between February 28 and March 20. Estimates of the impact of these interventions on SARS-CoV-2 transmission are critical for decision making in this and future outbreaks. We here aim to assess the impact of these NPIs on disease transmission by estimating changes in the basic reproduction number (R0) at national and cantonal levels in relation to the timing of these NPIs. We estimate the time- varying R0 nationally and in twelve cantons by fitting a stochastic transmission model explicitly simulating within hospital dynamics. We use individual-level data of >1,000 hospitalized patients in Switzerland and public daily reports of hospitalizations and deaths. We estimate the national R0 was 3.15 (95% CI: 2.13-3.76) at the start of the epidemic. Starting from around March 6, we find a strong reduction in R0 with an 85% median decrease (95% quantile range, QR: 83%-90%) to a value of 0.44 (95% QR: 0.27-0.65) in the period of March 29-April 5. At the cantonal-level R0 decreased over the course of the epidemic between 71% and 94%. We found that reductions in R0 were synchronous with changes in mobility patterns as estimated through smartphone activity, which started before the official implementation of NPIs. We found that most of the reduction of transmission is due to behavioural changes as opposed to natural immunity, the latter accounting for only about 3% of the total reduction in effective transmission. As Switzerland considers relaxing some of the restrictions of social mixing, current estimates of R0 well below one are promising. However most of inferred transmission reduction was due to behaviour change (<3% due to natural immunity buildup), with an estimated 97% (95% QR: 96.6%-97.2%) of the Swiss population still susceptible to SARS-CoV-2 as of April 24. These results warrant a cautious relaxation of social distance practices and close monitoring of changes in both the basic and effective reproduction numbers.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectInfectious Diseasesen_US
dc.subjectSARS-CoVen_US
dc.subjectSwitzerlanden_US
dc.subjectDisease Transmission, Infectiousen_US
dc.titleAssessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerlanden_US
eihealth.countryGlobal (WHO/OMS)en_US
eihealth.categoryPublic Health Interventionsen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySlow Spread / Reducir la Dispersiónen_US
dc.relation.ispartofjournalmedRxiven_US


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