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A regression discontinuity analysis of the social distancing recommendations for older adults in Sweden during COVID-19.
Bonander, Carl; Stranges, Debora; Gustavsson, Johanna; Almgren, Matilda; Inghammar, Malin; Moghaddassi, Mahnaz; Nilsson, Anton; Capdevila Pujol, Joan; Steves, Claire; Franks, Paul W; Gomez, Maria F; Fall, Tove; Björk, Jonas.
  • Bonander C; Health Economics & Policy, School of Public Health & Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Stranges D; Department of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
  • Gustavsson J; Centre for Societal Risk Research, Faculty of Arts and Social Sciences, Karlstad University, Karlstad, Sweden.
  • Almgren M; Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden.
  • Inghammar M; Department of Clinical Sciences Lund, Section for Infection Medicine, Skåne University Hospital, Lund University, Lund, Sweden.
  • Moghaddassi M; Department of Clinical Sciences Malmö, Social Medicine and Global Health, Lund University, Malmö, Sweden.
  • Nilsson A; Department of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
  • Capdevila Pujol J; ZOE Limited, London, UK.
  • Steves C; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Franks PW; Department of Clinical Sciences, Lund University Diabetes Center, Skåne University Hospital, Malmö, Sweden.
  • Gomez MF; Department of Nutrition, Harvard Chan School of Public Health, Boston, MA, USA.
  • Fall T; Department of Clinical Sciences in Malmö, Diabetic Complications Unit, Lund University Diabetes Centre, Lund, Sweden.
  • Björk J; Department of Medical Sciences, Molecular Epidemiology, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Eur J Public Health ; 32(5): 799-806, 2022 10 03.
Article in English | MEDLINE | ID: covidwho-1992174
ABSTRACT

BACKGROUND:

This article investigates the impact of a non-mandatory and age-specific social distancing recommendation on isolation behaviours and disease outcomes in Sweden during the first wave of the coronavirus disease 2019 (COVID-19) pandemic (March to July 2020). The policy stated that people aged 70 years or older should avoid crowded places and contact with people outside the household.

METHODS:

We used a regression discontinuity design-in combination with self-reported isolation data from COVID Symptom Study Sweden (n = 96 053; age range 39-79 years) and national register data (age range 39-100+ years) on severe COVID-19 disease (hospitalization or death, n = 21 804) and confirmed cases (n = 48 984)-to estimate the effects of the policy.

RESULTS:

Our primary analyses showed a sharp drop in the weekly number of visits to crowded places (-13%) and severe COVID-19 cases (-16%) at the 70-year threshold. These results imply that the age-specific recommendations prevented approximately 1800-2700 severe COVID-19 cases, depending on model specification.

CONCLUSIONS:

It seems that the non-mandatory, age-specific recommendations helped control COVID-19 disease during the first wave of the pandemic in Sweden, as opposed to not implementing a social distancing policy aimed at older adults. Our study provides empirical data on how populations may react to non-mandatory, age-specific social distancing policies in the face of a novel virus.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Adult / Aged / Humans / Middle aged Country/Region as subject: Europa Language: English Journal: Eur J Public Health Journal subject: Epidemiology / Public Health Year: 2022 Document Type: Article Affiliation country: Eurpub

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Adult / Aged / Humans / Middle aged Country/Region as subject: Europa Language: English Journal: Eur J Public Health Journal subject: Epidemiology / Public Health Year: 2022 Document Type: Article Affiliation country: Eurpub