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1.
BMJ Open ; 12(2): e055938, 2022 02 09.
Article in English | MEDLINE | ID: covidwho-1745691

ABSTRACT

OBJECTIVES: Characterise the reopening policies of European countries after the first wave of infections and evaluate how these policies affected economic activity and subsequent infections. STUDY DESIGN: Using publicly available data, we construct a database of reopening policy announcements by country authorities and develop measures related to the speed and timing of reopening. Using panel data regressions, we then assess how a country's reopening action subsequently affected its mobility and COVID-19 infections. Samples of 22 European countries used in the study comprise: Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Ireland, Israel, Italy, Netherlands, Norway, Poland, Portugal, Romania, Russia, Spain, Switzerland, Turkey, Ukraine and the UK. MAIN OUTCOMES: Mobility index as well as COVID-19 case and death counts. RESULTS: Reopening policies are associated with a 1.5 percentage point increase in mobility and a 4% increase in subsequent infections after 2 weeks. However, some reopening strategies are associated with lower infection risk. In particular, early and fast reopeners saw 5%-10% increases in infections relative to those that opened later and adopted a gradual approach. The sequencing of sectoral reopenings matters, with infection amplification effects larger for some sectors (like retail and events) than others (like schools). CONCLUSIONS: Findings suggest some merit of gradual and late reopening strategies with a careful sequencing of sectoral openings based on their infection amplification risks.


Subject(s)
COVID-19 , Data Analysis , Europe/epidemiology , France , Humans , SARS-CoV-2
2.
Science ; 371(6536)2021 03 26.
Article in English | MEDLINE | ID: covidwho-1061088

ABSTRACT

After initial declines, in mid-2020 a resurgence in transmission of novel coronavirus disease (COVID-19) occurred in the United States and Europe. As efforts to control COVID-19 disease are reintensified, understanding the age demographics driving transmission and how these affect the loosening of interventions is crucial. We analyze aggregated, age-specific mobility trends from more than 10 million individuals in the United States and link these mechanistically to age-specific COVID-19 mortality data. We estimate that as of October 2020, individuals aged 20 to 49 are the only age groups sustaining resurgent SARS-CoV-2 transmission with reproduction numbers well above one and that at least 65 of 100 COVID-19 infections originate from individuals aged 20 to 49 in the United States. Targeting interventions-including transmission-blocking vaccines-to adults aged 20 to 49 is an important consideration in halting resurgent epidemics and preventing COVID-19-attributable deaths.


Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Epidemics , Adolescent , Adult , Age Factors , Basic Reproduction Number , COVID-19/mortality , COVID-19/prevention & control , COVID-19 Vaccines , Cell Phone , Child , Child, Preschool , Communicable Disease Control , Epidemics/prevention & control , Humans , Infant , Middle Aged , Models, Theoretical , Pandemics/prevention & control , Schools , United States/epidemiology , Young Adult
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