Literature DB >> 35231023

Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.

Amy Gimma1, James D Munday1, Kerry L M Wong1, Pietro Coletti2, Kevin van Zandvoort1, Kiesha Prem1, Petra Klepac1, G James Rubin3, Sebastian Funk1, W John Edmunds1, Christopher I Jarvis1.   

Abstract

BACKGROUND: During the Coronavirus Disease 2019 (COVID-19) pandemic, the United Kingdom government imposed public health policies in England to reduce social contacts in hopes of curbing virus transmission. We conducted a repeated cross-sectional study to measure contact patterns weekly from March 2020 to March 2021 to estimate the impact of these policies, covering 3 national lockdowns interspersed by periods of less restrictive policies. METHODS AND
FINDINGS: The repeated cross-sectional survey data were collected using online surveys of representative samples of the UK population by age and gender. Survey participants were recruited by the online market research company Ipsos MORI through internet-based banner and social media ads and email campaigns. The participant data used for this analysis are restricted to those who reported living in England. We calculated the mean daily contacts reported using a (clustered) bootstrap and fitted a censored negative binomial model to estimate age-stratified contact matrices and estimate proportional changes to the basic reproduction number under controlled conditions using the change in contacts as a scaling factor. To put the findings in perspective, we discuss contact rates recorded throughout the year in terms of previously recorded rates from the POLYMOD study social contact study. The survey recorded 101,350 observations from 19,914 participants who reported 466,710 contacts over 53 weeks. We observed changes in social contact patterns in England over time and by participants' age, personal risk factors, and perception of risk. The mean reported contacts for adults 18 to 59 years old ranged between 2.39 (95% confidence interval [CI] 2.20 to 2.60) contacts and 4.93 (95% CI 4.65 to 5.19) contacts during the study period. The mean contacts for school-age children (5 to 17 years old) ranged from 3.07 (95% CI 2.89 to 3.27) to 15.11 (95% CI 13.87 to 16.41). This demonstrates a sustained decrease in social contacts compared to a mean of 11.08 (95% CI 10.54 to 11.57) contacts per participant in all age groups combined as measured by the POLYMOD social contact study in 2005 to 2006. Contacts measured during periods of lockdowns were lower than in periods of eased social restrictions. The use of face coverings outside the home has remained high since the government mandated use in some settings in July 2020. The main limitations of this analysis are the potential for selection bias, as participants are recruited through internet-based campaigns, and recall bias, in which participants may under- or overreport the number of contacts they have made.
CONCLUSIONS: In this study, we observed that recorded contacts reduced dramatically compared to prepandemic levels (as measured in the POLYMOD study), with changes in reported contacts correlated with government interventions throughout the pandemic. Despite easing of restrictions in the summer of 2020, the mean number of reported contacts only returned to about half of that observed prepandemic at its highest recorded level. The CoMix survey provides a unique repeated cross-sectional data set for a full year in England, from the first day of the first lockdown, for use in statistical analyses and mathematical modelling of COVID-19 and other diseases.

Entities:  

Mesh:

Year:  2022        PMID: 35231023      PMCID: PMC8887739          DOI: 10.1371/journal.pmed.1003907

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


  15 in total

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2.  Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents.

Authors:  Jacco Wallinga; Peter Teunis; Mirjam Kretzschmar
Journal:  Am J Epidemiol       Date:  2006-09-12       Impact factor: 4.897

3.  The impact of local and national restrictions in response to COVID-19 on social contacts in England: a longitudinal natural experiment.

Authors:  Christopher I Jarvis; Amy Gimma; Kevin van Zandvoort; Kerry L M Wong; W John Edmunds
Journal:  BMC Med       Date:  2021-02-19       Impact factor: 8.775

4.  Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England.

Authors:  Katharine Sherratt; Sam Abbott; Sophie R Meakin; Joel Hellewell; James D Munday; Nikos Bosse; Mark Jit; Sebastian Funk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-31       Impact factor: 6.237

5.  Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.

Authors:  Sam Abbott; Rosanna C Barnard; Christopher I Jarvis; Adam J Kucharski; James D Munday; Carl A B Pearson; Timothy W Russell; Damien C Tully; Alex D Washburne; Tom Wenseleers; Nicholas G Davies; Amy Gimma; William Waites; Kerry L M Wong; Kevin van Zandvoort; Justin D Silverman; Karla Diaz-Ordaz; Ruth Keogh; Rosalind M Eggo; Sebastian Funk; Mark Jit; Katherine E Atkins; W John Edmunds
Journal:  Science       Date:  2021-03-03       Impact factor: 63.714

6.  Rapid Review of Social Contact Patterns During the COVID-19 Pandemic.

Authors:  Carol Y Liu; Juliette Berlin; Moses C Kiti; Emanuele Del Fava; André Grow; Emilio Zagheni; Alessia Melegaro; Samuel M Jenness; Saad B Omer; Benjamin Lopman; Kristin Nelson
Journal:  Epidemiology       Date:  2021-11-01       Impact factor: 4.822

7.  Age-dependent effects in the transmission and control of COVID-19 epidemics.

Authors:  Petra Klepac; Yang Liu; Nicholas G Davies; Kiesha Prem; Mark Jit; Rosalind M Eggo
Journal:  Nat Med       Date:  2020-06-16       Impact factor: 53.440

8.  Social contacts and mixing patterns relevant to the spread of infectious diseases.

Authors:  Joël Mossong; Niel Hens; Mark Jit; Philippe Beutels; Kari Auranen; Rafael Mikolajczyk; Marco Massari; Stefania Salmaso; Gianpaolo Scalia Tomba; Jacco Wallinga; Janneke Heijne; Malgorzata Sadkowska-Todys; Magdalena Rosinska; W John Edmunds
Journal:  PLoS Med       Date:  2008-03-25       Impact factor: 11.069

9.  Projecting social contact matrices in 152 countries using contact surveys and demographic data.

Authors:  Kiesha Prem; Alex R Cook; Mark Jit
Journal:  PLoS Comput Biol       Date:  2017-09-12       Impact factor: 4.475

10.  Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK.

Authors:  Christopher I Jarvis; Kevin Van Zandvoort; Amy Gimma; Kiesha Prem; Petra Klepac; G James Rubin; W John Edmunds
Journal:  BMC Med       Date:  2020-05-07       Impact factor: 8.775

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  16 in total

1.  Time trends in social contacts of individuals according to comorbidity and vaccination status, before and during the COVID-19 pandemic.

Authors:  Aurélie Godbout; Mélanie Drolet; Myrto Mondor; Marc Simard; Chantal Sauvageau; Gaston De Serres; Marc Brisson
Journal:  BMC Med       Date:  2022-05-23       Impact factor: 11.150

2.  Patterns of social mixing in England changed in line with restrictions during the COVID-19 pandemic (September 2020 to April 2022).

Authors:  Louise E Smith; Henry W W Potts; Richard Amlȏt; Nicola T Fear; Susan Michie; G James Rubin
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3.  Social contact patterns and implications for infectious disease transmission - a systematic review and meta-analysis of contact surveys.

Authors:  Andria Mousa; Peter Winskill; Oliver John Watson; Oliver Ratmann; Mélodie Monod; Marco Ajelli; Aldiouma Diallo; Peter J Dodd; Carlos G Grijalva; Moses Chapa Kiti; Anand Krishnan; Rakesh Kumar; Supriya Kumar; Kin O Kwok; Claudio F Lanata; Olivier Le Polain de Waroux; Kathy Leung; Wiriya Mahikul; Alessia Melegaro; Carl D Morrow; Joël Mossong; Eleanor Fg Neal; D James Nokes; Wirichada Pan-Ngum; Gail E Potter; Fiona M Russell; Siddhartha Saha; Jonathan D Sugimoto; Wan In Wei; Robin R Wood; Joseph Wu; Juanjuan Zhang; Patrick Walker; Charles Whittaker
Journal:  Elife       Date:  2021-11-25       Impact factor: 8.713

4.  Nationally Representative Social Contact Patterns among U.S. adults, August 2020-April 2021.

Authors:  Kristin N Nelson; Aaron J Siegler; Patrick S Sullivan; Heather Bradley; Eric Hall; Nicole Luisi; Palmer Hipp-Ramsey; Travis Sanchez; Kayoko Shioda; Benjamin A Lopman
Journal:  medRxiv       Date:  2022-03-30

5.  Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data.

Authors:  Nicolas Franco; Pietro Coletti; Lander Willem; Leonardo Angeli; Adrien Lajot; Steven Abrams; Philippe Beutels; Christel Faes; Niel Hens
Journal:  PLoS Comput Biol       Date:  2022-03-30       Impact factor: 4.475

6.  Alternative COVID-19 mitigation measures in school classrooms: analysis using an agent-based model of SARS-CoV-2 transmission.

Authors:  M J Woodhouse; W P Aspinall; R S J Sparks; E Brooks-Pollock; C Relton
Journal:  R Soc Open Sci       Date:  2022-08-10       Impact factor: 3.653

7.  Comparison of the 2021 COVID-19 roadmap projections against public health data in England.

Authors:  Matt J Keeling; Louise Dyson; Michael J Tildesley; Edward M Hill; Samuel Moore
Journal:  Nat Commun       Date:  2022-08-22       Impact factor: 17.694

8.  The impact of multi-level interventions on the second-wave SARS-CoV-2 transmission in China.

Authors:  Yuanchen He; Yinzi Chen; Lin Yang; Ying Zhou; Run Ye; Xiling Wang
Journal:  PLoS One       Date:  2022-09-16       Impact factor: 3.752

9.  Simulating respiratory disease transmission within and between classrooms to assess pandemic management strategies at schools.

Authors:  Akira Endo 遠藤彰; Mitsuo Uchida 内田満夫; Yang Liu 刘扬; Katherine E Atkins; Adam J Kucharski; Sebastian Funk
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-08       Impact factor: 12.779

10.  The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic.

Authors:  James Wambua; Lisa Hermans; Pietro Coletti; Frederik Verelst; Lander Willem; Christopher I Jarvis; Amy Gimma; Kerry L M Wong; Adrien Lajot; Stefaan Demarest; W John Edmunds; Christel Faes; Philippe Beutels; Niel Hens
Journal:  Sci Rep       Date:  2022-03-25       Impact factor: 4.379

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