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http://hdl.handle.net/1942/43338
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DC Field | Value | Language |
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dc.contributor.author | Reichmuth, Martina L. | - |
dc.contributor.author | Heron, Leonie | - |
dc.contributor.author | Beutels, Philippe | - |
dc.contributor.author | HENS, Niel | - |
dc.contributor.author | Low, Nicola | - |
dc.contributor.author | Althaus, Christian L. | - |
dc.date.accessioned | 2024-07-08T08:35:13Z | - |
dc.date.available | 2024-07-08T08:35:13Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-07-08T06:21:39Z | - |
dc.identifier.citation | Epidemics (Print), 47 (Art N° 100771) | - |
dc.identifier.uri | http://hdl.handle.net/1942/43338 | - |
dc.description.abstract | To mitigate the spread of SARS-CoV-2, the Swiss government enacted restrictions on social contacts from 2020 to 2022. In addition, individuals changed their social contact behavior to limit the risk of COVID-19. In this study, we aimed to investigate the changes in social contact patterns of the Swiss population. As part of the CoMix study, we conducted a survey consisting of 24 survey waves from January 2021 to May 2022. We collected data on social contacts and constructed contact matrices for the age groups 0-4, 5-14, 15-29, 30-64, and 65 years and older. We estimated the change in contact numbers during the COVID-19 pandemic to a synthetic pre-pandemic contact matrix. We also investigated the association of the largest eigenvalue of the social contact and transmission matrices with the stringency of pandemic measures, the effective reproduction number (Re), and vaccination uptake. During the pandemic period, 7084 responders reported an average number of 4.5 contacts (95% confidence interval, CI: 4.5-4.6) per day overall, which varied by age and survey wave. Children aged 5-14 years had the highest number of contacts with 8.5 (95% CI: 8.1-8.9) contacts on average per day and participants that were 65 years and older reported the fewest (3.4, 95% CI: 3.2-3.5) per day. Compared with the prepandemic baseline, we found that the 15-29 and 30-64 year olds had the largest reduction in contacts. We did not find statistically significant associations between the largest eigenvalue of the social contact and transmission matrices and the stringency of measures, Re, or vaccination uptake. The number of social contacts in Switzerland fell during the COVID-19 pandemic and remained below pre-pandemic levels after contact restrictions were lifted. The collected social contact data will be critical in informing modeling studies on the transmission of respiratory infections in Switzerland and to guide pandemic preparedness efforts. | - |
dc.description.sponsorship | Funding This study received funding from the European Union’s Horizon 2020 research and innovation program - project EpiPose (No 101003688), the Swiss Federal Office of Public Health (No 142004995), and the Swiss National Science Foundation (No 176233). We like to thank the European Centre for Disease Prevention and Control (ECDC) and the CoMix Europe Working Group for setting up the CoMix study across 20 European countries, and the partners at Ipsos MORI for running the survey. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | - |
dc.subject.other | COVID-19; Social contacts; Matrices; Behavior; Pandemic | - |
dc.title | Social contacts in Switzerland during the COVID-19 pandemic: Insights from the CoMix study | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 47 | - |
local.format.pages | 10 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Althaus, CL (corresponding author), Univ Bern, Inst Social & Prevent Med, Mittelstr 43, CH-3012 Bern, Switzerland. | - |
dc.description.notes | christian.althaus@alumni.ethz.ch | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 100771 | - |
local.type.programme | H2020 | - |
local.relation.h2020 | 101003688 | - |
dc.identifier.doi | 10.1016/j.epidem.2024.100771 | - |
dc.identifier.pmid | 38821037 | - |
dc.identifier.isi | WOS:001249382800001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Reichmuth, Martina L.; Heron, Leonie; Low, Nicola; Althaus, Christian L.] Univ Bern, Inst Social & Prevent Med, Mittelstr 43, CH-3012 Bern, Switzerland. | - |
local.description.affiliation | [Beutels, Philippe] Ctr Hlth Econ Res & Modelling Infect Dis, Vaccine & Infect Dis Inst, Antwerp, Belgium. | - |
local.description.affiliation | [Low, Nicola] Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium. | - |
local.description.affiliation | [Low, Nicola; Althaus, Christian L.] Univ Bern, Multidisciplinary Ctr Infect Dis, Bern, Switzerland. | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.contributor | Reichmuth, Martina L. | - |
item.contributor | Heron, Leonie | - |
item.contributor | Beutels, Philippe | - |
item.contributor | HENS, Niel | - |
item.contributor | Low, Nicola | - |
item.contributor | Althaus, Christian L. | - |
item.fullcitation | Reichmuth, Martina L.; Heron, Leonie; Beutels, Philippe; HENS, Niel; Low, Nicola & Althaus, Christian L. (2024) Social contacts in Switzerland during the COVID-19 pandemic: Insights from the CoMix study. In: Epidemics (Print), 47 (Art N° 100771). | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 1755-4365 | - |
crisitem.journal.eissn | 1878-0067 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Social contacts in Switzerland during the COVID-19 pandemic_ Insights from the CoMix study.pdf | Published version | 4.35 MB | Adobe PDF | View/Open |
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