Social contact patterns during the early COVID-19 pandemic in Norway: insights from a panel study, April to September 2020

被引:2
作者
Veneti, Lamprini [1 ]
Robberstad, Bjarne [2 ]
Steens, Anneke [3 ]
Forland, Frode [1 ]
Winje, Brita A. [3 ]
Vestrheim, Didrik F. [3 ]
Jarvis, Christopher I. [4 ]
Gimma, Amy [4 ]
Edmunds, W. John [4 ]
Van Zandvoort, Kevin [4 ]
de Blasio, Birgitte Freiesleben [5 ,6 ]
机构
[1] Norwegian Inst Publ Hlth, Dept Infect Control & Preparedness, Lovisenberggata 8, N-0456 Oslo, Norway
[2] Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen, Norway
[3] Norwegian Inst Publ Hlth, Dept Infect Control & Vaccine, Oslo, Norway
[4] London Sch Hyg & Trop Med, Ctr Math Modelling Infect Dis, Dept Infect Dis Epidemiol, London, England
[5] Norwegian Inst Publ Hlth, Dept Method Dev & Analyt, Oslo, Norway
[6] Univ Oslo, Inst Basic Med Sci, Oslo Ctr Biostat & Epidemiol, Dept Biostat, Oslo, Norway
关键词
COVID-19; Physical distancing; Social distance; Contact pattern; Contact matrices; Control measures; CoMix;
D O I
10.1186/s12889-024-18853-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background During the COVID-19 pandemic, many countries adopted social distance measures and lockdowns of varying strictness. Social contact patterns are essential in driving the spread of respiratory infections, and country-specific measurements are needed. This study aimed to gain insights into changes in social contacts and behaviour during the early pandemic phase in Norway. Methods We conducted an online panel study among a nationally representative sample of Norwegian adults by age and gender. The panel study included six data collections waves between April and September 2020, and 2017 survey data from a random sample of the Norwegian population (including children < 18 years old) were used as baseline. The market research company Ipsos was responsible for carrying out the 2020 surveys. We calculated mean daily contacts, and estimated age-stratified contact matrices during the study period employing imputation of child-to-child contacts. We used the next-generation method to assess the relative reduction of R0 and compared the results to reproduction numbers estimated for Norway during the 2020 study period. Results Over the six waves in 2020, 5 938 observations/responses were registered from 1 718 individuals who reported data on 22 074 contacts. The mean daily number of contacts among adults varied between 3.2 (95%CI 3.0-3.4) to 3.9 (95%CI 3.6-4.2) across the data collection waves, representing a 67-73% decline compared to pre-pandemic levels (baseline). Fewer contacts in the community setting largely drove the reduction; the drop was most prominent among younger adults. Despite gradual easing of social distance measures during the survey period, the estimated population contact matrices remained relatively stable and displayed more inter-age group mixing than at baseline. Contacts within households and the community outside schools and workplaces contributed most to social encounters. Using the next-generation method R0 was found to be roughly 25% of pre-pandemic levels during the study period, suggesting controlled transmission. Conclusion Social contacts declined significantly in the months following the March 2020 lockdown, aligning with implementation of stringent social distancing measures. These findings contribute valuable empirical information into the social behaviour in Norway during the early pandemic, which can be used to enhance policy-relevant models for addressing future crises when mitigation measures might be implemented.
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页数:18
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共 39 条
  • [1] Visiting crowded places during the COVID-19 pandemic. A panel study among adult Norwegians
    Aaro, Leif Edvard
    Veneti, Lamprini
    Vedaa, Oystein
    Smith, Otto R. F.
    De Blasio, Birgitte Freiesleben
    Robberstad, Bjarne
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [2] Anda EE, 2022, EUROSURVEILLANCE, V27, DOI [10.2807/1560-7917.ES.2022.27.13.2100376, 10.2807/1560-7917ES.2022.27.13.2100376]
  • [3] Impact of physical distancing measures against COVID-19 on contacts and mixing patterns: repeated cross-sectional surveys, the Netherlands, 2016-17, April 2020 and June 2020
    Backer, Jantien A.
    Mollema, Liesbeth
    Vos, Eric R. A.
    Klinkenberg, Don
    van der Klis, Fiona R. M.
    de Melker, Hester E.
    van den Hof, Susan
    Wallinga, Jacco
    [J]. EUROSURVEILLANCE, 2021, 26 (08) : 19 - 27
  • [4] Quantifying contact patterns in response to COVID-19 public health measures in Canada
    Brankston, Gabrielle
    Merkley, Eric
    Fisman, David N.
    Tuite, Ashleigh R.
    Poljak, Zvonimir
    Loewen, Peter J.
    Greer, Amy L.
    [J]. BMC PUBLIC HEALTH, 2021, 21 (01)
  • [5] CoMix: comparing mixing patterns in the Belgian population during and after lockdown
    Coletti, Pietro
    Wambua, James
    Gimma, Amy
    Willem, Lander
    Vercruysse, Sarah
    Vanhoutte, Bieke
    Jarvis, Christopher I.
    Van Zandvoort, Kevin
    Edmunds, John
    Beutels, Philippe
    Hens, Niel
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [6] Control ECfDPa, 2022, Data on country response measures to COVID-19
  • [7] How trust was maintained in Scandinavia through the first crisis of modernity
    Dahlen, Oystein Pedersen
    Skirbekk, Helge
    [J]. CORPORATE COMMUNICATIONS, 2021, 26 (01) : 23 - 39
  • [8] Complexity of the Basic Reproduction Number (R0)
    Delamater, Paul L.
    Street, Erica J.
    Leslie, Timothy F.
    Yang, Y. Tony
    Jacobsen, Kathryn H.
    [J]. EMERGING INFECTIOUS DISEASES, 2019, 25 (01) : 1 - 4
  • [9] ( DSS) Ds-os, Tidslinje: myndighetenes handtering av koronasituasjonen
  • [10] A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting
    Engebretsen, Solveig
    Palomares, Alfonso Diz-Lois E.
    Ro, Gunnar
    Kristoffersen, Anja Brathen E.
    Lindstrom, Jonas Christoffer E.
    Engo-Monsen, Kenth
    Kamineni, Meghana E.
    Chan, Louis Yat Hin
    Dale, Orjan
    Midtbo, Jorgen Eriksson
    Stenerud, Kristian Lindalen
    Di Ruscio, Francesco
    White, Richard
    Frigessi, Arnoldo
    de Blasio, Birgitte Freiesleben
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2023, 19 (01)