The impact of the COVID-19 pandemic on excess mortality from all causes in 2020 varied across and within European countries. Using data for 2015–2019, we applied Bayesian spatio-temporal models to quantify the expected weekly deaths at the regional level had the pandemic not occurred in England, Greece, Italy, Spain, and Switzerland. With around 30%, Madrid, Castile-La Mancha, Castile-Leon (Spain) and Lombardia (Italy) were the regions with the highest excess mortality. In England, Greece and Switzerland, the regions most affected were Outer London and the West Midlands (England), Eastern, Western and Central Macedonia (Greece), and Ticino (Switzerland), with 15–20% excess mortality in 2020. Our study highlights the importance of the large transportation hubs for establishing community transmission in the first stages of the pandemic. Here, we show that acting promptly to limit transmission around these hubs is essential to prevent spread to other regions and countries. In this study, the authors estimate excess mortality at the regional level for five European countries (England, Greece, Italy, Spain, and Switzerland) in 2020. They identify the regions and time periods with highest excess mortality and show how these patterns evolved through different pandemic waves.
【저자키워드】 SARS-CoV-2, viral infection, Risk factors, Epidemiology, 【초록키워드】 pandemic, Bayesian, Mortality, COVID-19 pandemic, Transmission, Italy, Region, Spain, death, Greece, community transmission, London, England, Switzerland, first stage, West, Lombardia, European, FIVE, Prevent, limit, highlight, European country, highest, identify, affected, occurred, spread to, applied, cause, expected, acting, 【제목키워드】 Mortality, 2020 COVID-19 pandemic, Regional, FIVE, European country,