First wave of Sars‐COV2 in Europe
Study and typology of the 15 worst affected European countries
Bibliographic Data
| ID | 12789331 |
|---|---|
| Authors | Alexandra Tragaki (0000-0003-0768-3345, Harokopio University of Athens, corresponding author), Jean‐luc Richard (0000-0002-6723-4958, Centre National de la Recherche Scientifique) |
| Year | 2021 |
| Volume | 28 |
| Issue | 1 |
| Pages | e2534-e2534 |
| Publication date | 2021-10-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Population Space and Place (JOURNAL) |
| Journal identifiers | ISSN: 1544-8444 • E-ISSN: 1544-8452 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/psp.2534 |
| PMID | 34899095 |
| OpenAlex | W3209398287 |
| Language | EN |
| Citations received | 4 |
| References cited | 19 |
Since 11 March 2020 when officially declared a global pandemic, Covid-19 (or SARS-COV2) has turned out to be a multifaceted disease differently affecting countries and individuals. What makes certain countries more vulnerable than others has attracted the interest of scientists from various disciplines. This paper intends to compare the impact of demographic parameters, population health conditions and policy actions on prevalence and fatality levels of Covid-19 during the first 3 months since its declaration of global pandemic. A country-level exploratory analysis has been conducted in order to assess how demography, national health conditions and measures taken interact and condition the disease outcomes. Analysis relies on publicly available data on Covid-19 reported cases, deaths and number of persons tested. Those data are combined with demographic parameters (sex ratio, mean age, population density and life expectancy), health data (cardiovascular death rate, diabetes prevalence, share of smokers among males and females and number of hospital beds) and information about relative national policies aiming the management of the pandemic (lockdown timing and duration). Our analysis confirms the diversity of factors and the complexity of their interaction in explaining the propagation and fatality of the disease across Europe. Our findings question some well-established attitudes concerning the role of demographic variables and public health conditions in the spread of the disease
Case fatality rate · Coronavirus disease 2019 (COVID-19 · Declaration · Demographic economics · Disease · Diversity (politics · Economics · Geography · Infectious disease (medical specialty · Life expectancy · Pandemic · Political science · Population · Public health · Sociology · Typology · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Medicine
Predisposing factors for admission to intensive care units of patients with Covid-19 infection—Results of the German nationwide inpatient sample
Informing the design of urban green and blue spaces through an understanding of Europeans' usage and preferences
Do variations in anomalous mortality in Europe in fall and winter of 2019–2020 tell us anything on the timing of Sars‐CoV‐2 outbreak
First wave of Sars‐COV2 in Europe
Is the lockdown important to prevent the Covid-19 pandemic? Effects on psychology, environment and economy-perspective
Magnitude, demographics and dynamics of the effect of the first wave of the Covid-19 pandemic on all-cause mortality in 21 industrialized countries
Demographic science aids in understanding the spread and fatality rates of Covid-19
Estimates of the severity of coronavirus disease 2019
First wave of Sars‐COV2 in Europe
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,8 |
| Citation span | 2021 - 2023 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |