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Tag: NUTS regions

Constraints from geotemporal evolution of all-cause mortality on the hypothesis of disease spread during Covid

Update 2025-06-21: This article is now available on HAL open science Update 2025-06-18: Maintenant disponible en français ici Update 2025-06-16: This article is now available on preprints.org CORRELATION has published a new report entitled “Constraints from geotemporal evolution of all-cause mortality on the hypothesis of disease spread during Covid” authored by Joseph Hickey, Denis G.… Continue reading Constraints from geotemporal evolution of all-cause mortality on the hypothesis of disease spread during Covid

Published June 13, 2025
Categorized as All-cause mortality, COVID, SIR models Tagged age groups, all-cause mortality, biological stress, county-level data, COVID, COVID-19, epidemiology, Europe, excess deaths, excess mortality, first-wave, geographic heterogeneity of excess mortality, high-resolution geotemporal data, iatrogenic death, ICU, inequality, infectious disease spread, Intensive Care Unit, lockdowns, long-term care homes, measures, mechanical ventilation, nursing homes, NUTS regions, P-score, pneumonia, poverty, respiratory disease spread, respiratory diseases, SARS-CoV-2, sedatives, social vulnerability, socioeconomic variables, spatial epidemic models, temporal synchrony of excess mortality, The Bronx, USA, viral spread paradigm, virus
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