Literature DB >> 32472939

Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland.

Joseph C Lemaitre1, Javier Perez-Saez2, Andrew S Azman2, Andrea Rinaldo3, Jacques Fellay4.   

Abstract

Following 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 28 February and 20 March 2020. 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 estimated the time-varying R0 nationally and in eleven cantons by fitting a stochastic transmission model explicitly simulating within-hospital dynamics. We used individual-level data from more than 1000 hospitalised patients in Switzerland and public daily reports of hospitalisations and deaths. We estimated the national R0 to be 2.8 (95% confidence interval 2.1–3.8) at the beginning of the epidemic. Starting from around 7 March, we found a strong reduction in time-varying R0 with a 86% median decrease (95% quantile range [QR] 79–90%) to a value of 0.40 (95% QR 0.3–0.58) in the period of 29 March to 5 April. At the cantonal level, R0 decreased over the course of the epidemic between 53% and 92%. Reductions in time-varying R0 were synchronous with changes in mobility patterns as estimated through smartphone activity, which started before the official implementation of NPIs. We inferred that most of the reduction of transmission is attributable to behavioural changes as opposed to natural immunity, the latter accounting for only about 4% of the total reduction in effective transmission. As Switzerland considers relaxing some of the restrictions of social mixing, current estimates of time-varying R0 well below one are promising. However, as of 24 April 2020, at least 96% (95% QR 95.7–96.4%) of the Swiss population remains susceptible to SARS-CoV-2. These results warrant a cautious relaxation of social distance practices and close monitoring of changes in both the basic and effective reproduction numbers.

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Year:  2020        PMID: 32472939     DOI: 10.4414/smw.2020.20295

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  20 in total

1.  Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19.

Authors:  Nicolas Banholzer; Stefan Feuerriegel; Werner Vach
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

Review 2.  Non-pharmaceutical interventions during the COVID-19 pandemic: A review.

Authors:  Nicola Perra
Journal:  Phys Rep       Date:  2021-02-13       Impact factor: 25.600

3.  The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries.

Authors:  You Li; Harry Campbell; Durga Kulkarni; Alice Harpur; Madhurima Nundy; Xin Wang; Harish Nair
Journal:  Lancet Infect Dis       Date:  2020-10-22       Impact factor: 25.071

4.  An evaluation of COVID-19 transmission control in Wenzhou using a modified SEIR model.

Authors:  Wenning Li; Jianhua Gong; Jieping Zhou; Lihui Zhang; Dongchuan Wang; Jing Li; Chenhui Shi; Hongkui Fan
Journal:  Epidemiol Infect       Date:  2021-01-08       Impact factor: 2.451

5.  Range of reproduction number estimates for COVID-19 spread.

Authors:  Damiano Pasetto; Joseph C Lemaitre; Enrico Bertuzzo; Marino Gatto; Andrea Rinaldo
Journal:  Biochem Biophys Res Commun       Date:  2020-12-09       Impact factor: 3.575

6.  COVID-19 lockdown induces disease-mitigating structural changes in mobility networks.

Authors:  Frank Schlosser; Benjamin F Maier; Olivia Jack; David Hinrichs; Adrian Zachariae; Dirk Brockmann
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-03       Impact factor: 11.205

7.  Practical considerations for measuring the effective reproductive number, Rt.

Authors:  Katelyn M Gostic; Lauren McGough; Edward B Baskerville; Sam Abbott; Keya Joshi; Christine Tedijanto; Rebecca Kahn; Rene Niehus; James A Hay; Pablo M De Salazar; Joel Hellewell; Sophie Meakin; James D Munday; Nikos I Bosse; Katharine Sherrat; Robin N Thompson; Laura F White; Jana S Huisman; Jérémie Scire; Sebastian Bonhoeffer; Tanja Stadler; Jacco Wallinga; Sebastian Funk; Marc Lipsitch; Sarah Cobey
Journal:  PLoS Comput Biol       Date:  2020-12-10       Impact factor: 4.475

8.  Key questions for modelling COVID-19 exit strategies.

Authors:  Robin N Thompson; T Déirdre Hollingsworth; Valerie Isham; Daniel Arribas-Bel; Ben Ashby; Tom Britton; Peter Challenor; Lauren H K Chappell; Hannah Clapham; Nik J Cunniffe; A Philip Dawid; Christl A Donnelly; Rosalind M Eggo; Sebastian Funk; Nigel Gilbert; Paul Glendinning; Julia R Gog; William S Hart; Hans Heesterbeek; Thomas House; Matt Keeling; István Z Kiss; Mirjam E Kretzschmar; Alun L Lloyd; Emma S McBryde; James M McCaw; Trevelyan J McKinley; Joel C Miller; Martina Morris; Philip D O'Neill; Kris V Parag; Carl A B Pearson; Lorenzo Pellis; Juliet R C Pulliam; Joshua V Ross; Gianpaolo Scalia Tomba; Bernard W Silverman; Claudio J Struchiner; Michael J Tildesley; Pieter Trapman; Cerian R Webb; Denis Mollison; Olivier Restif
Journal:  Proc Biol Sci       Date:  2020-08-12       Impact factor: 5.349

9.  The impact of school reopening on the spread of COVID-19 in England.

Authors:  Matt J Keeling; Michael J Tildesley; Benjamin D Atkins; Bridget Penman; Emma Southall; Glen Guyver-Fletcher; Alex Holmes; Hector McKimm; Erin E Gorsich; Edward M Hill; Louise Dyson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-31       Impact factor: 6.237

10.  Estimation of the reproduction number of influenza A(H1N1)pdm09 in South Korea using heterogeneous models.

Authors:  Yunjeong Lee; Dong Han Lee; Hee-Dae Kwon; Changsoo Kim; Jeehyun Lee
Journal:  BMC Infect Dis       Date:  2021-07-07       Impact factor: 3.090

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