Covid-19 Mortality: A Matter of Vulnerability Among Nations Facing Limited Margins of Adaptation.
Context: The human development territories have been severely constrained under the Covid-19 pandemic. A common dynamics has been observed, but its propagation has not been homogeneous over each continent. We aimed at characterizing the non-viral parameters that were most associated with death rate. Methods: We tested major indices from five domains (demography, public health, economy, politics, environment) and their potential associations with Covid-19 mortality during the first 8 months of 2020, through a Principal Component Analysis and a correlation matrix with a Pearson correlation test. Data of all countries, or states in federal countries, showing at least 10 fatality cases, were retrieved from official public sites. For countries that have not yet finished the first epidemic phase, a prospective model has been computed to provide options of death rates evolution. Results: Higher Covid death rates are observed in the [25/65°] latitude and in the [-35/-125°] longitude ranges. The national criteria most associated with death rate are life expectancy and its slowdown, public health context (metabolic and non-communicable diseases (NCD) burden vs. infectious diseases prevalence), economy (growth national product, financial support), and environment (temperature, ultra-violet index). Stringency of the measures settled to fight pandemia, including lockdown, did not appear to be linked with death rate. Conclusion: Countries that already experienced a stagnation or regression of life expectancy, with high income and NCD rates, had the highest price to pay. This burden was not alleviated by more stringent public decisions. Inherent factors have predetermined the Covid-19 mortality: understanding them may improve prevention strategies by increasing population resilience through better physical fitness and immunity.
['De Larochelambert|Quentin|Q|', 'Marc|Andy|A|', 'Antero|Juliana|J|', 'Le Bourg|Eric|E|', 'Toussaint|Jean-François|JF|']
D000086382:COVID-19 D002423:Cause of Death D014943:Global Health D006801:Humans D008017:Life Expectancy D058873:Pandemics D025341:Principal Component Analysis D011446:Prospective Studies D000086402:SARS-CoV-2 D035862:Vulnerable Populations
COVID-19 demography public health environment lockdown niche adaptation