ArticleBMC public health2020
Temporal dynamics in total excess mortality and COVID-19 deaths in Italian cities.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 66 papers, 1 of them a synthesis that pooled it.
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Who cites it
66 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Coronavirus disease 2019 (COVID-19) excess mortality outcomes associated with pandemic effects study (COPES): A systematic review and meta-analysis.Frontiers in medicine · 2022Pooled it
- Comparative GWAS using global and Indian Reference Panels reveals non-coding drivers of COVID-19 severity and mortality.PLoS neglected tropical diseases · 2026Article
- Unmasking pandemic patterns: decoding the COVID-19's impact on mortality in Italy with Generalized Gamma overdispersion model.BMC public health · 2025Article
- Excess Mortality in Türkiye during 2020-2022: Regional and Time-Based Analysis.Balkan medical journal · 2025Article
- Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases.Diagnostics (Basel, Switzerland) · 2025Article
- A genome-wide association study for survival from a multi-centre European study identified variants associated with COVID-19 risk of death.Scientific reports · 2024Article
- A proposed analytical approach to estimate excess daily mortality rates in Ecuador.Frontiers in public health · 2024Article
- The spread in time and space of COVID-19 pandemic waves: the Italian experience from mortality data analyses.Frontiers in public health · 2024Article
- Adjusting expected deaths for mortality displacement during the COVID-19 pandemic: a model based counterfactual approach at the level of individuals.BMC medical research methodology · 2023Article
- Comparing methods to predict baseline mortality for excess mortality calculations.BMC medical research methodology · 2023Article
- Impact of the COVID-19 pandemic on total, sex- and age-specific all-cause mortality in 20 countries worldwide during 2020: results from the C-MOR project.International journal of epidemiology · 2023Article
- Has COVID-19 increased inequality in mortality by income in the Netherlands?Journal of epidemiology and community health · 2023Article
- Estimating excess mortality during the COVID-19 pandemic from a population-based infectious disease surveillance in two diverse populations in Kenya, March 2020-December 2021.PLOS global public health · 2023Article
- Article
- Bayesian profile regression to study the ecologic associations of correlated environmental exposures with excess mortality risk during the first year of the Covid-19 epidemic in lombardy, Italy.Environmental research · 2023Article
- Assessing COVID-19-Related Excess Mortality Using Multiple Approaches-Italy, 2020-2021.International journal of environmental research and public health · 2022Article
- Is Covid-19 a dread risk? The death toll of the pandemic year 2020 in long-term and transnational perspective.Futures · 2022Article
- Mass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19.Economics and human biology · 2022Article
- Impact of COVID-19 emergency on the psychological well-being of susceptible individuals.Scientific reports · 2022Article
- Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand.Tropical medicine and infectious disease · 2022Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
15 authors.
Funding
Abstract
backgroundStandardized mortality surveillance data, capable of detecting variations in total mortality at population level and not only among the infected, provide an unbiased insight into the impact of epidemics, like COVID-19 (Coronavirus disease). We analysed the temporal trend in total excess mortality and deaths among positive cases of SARS-CoV-2 by geographical area (north and centre-south), age and sex, taking into account the deficit in mortality in previous months.
methodsData from the Italian rapid mortality surveillance system was used to quantify excess deaths during the epidemic, to estimate the mortality deficit during the previous months and to compare total excess mortality with deaths among positive cases of SARS-CoV-2. Data were stratified by geographical area (north vs centre and south), age and sex.
resultsCOVID-19 had a greater impact in northern Italian cities among subjects aged 75-84 and 85+ years. COVID-19 deaths accounted for half of total excess mortality in both areas, with differences by age: almost all excess deaths were from COVID-19 among adults, while among the elderly only one third of the excess was coded as COVID-19. When taking into account the mortality deficit in the pre-pandemic period, different trends were observed by area: all excess mortality during COVID-19 was explained by deficit mortality in the centre and south, while only a 16% overlap was estimated in northern cities, with quotas decreasing by age, from 67% in the 15-64 years old to 1% only among subjects 85+ years old.
conclusionsAn underestimation of COVID-19 deaths is particularly evident among the elderly. When quantifying the burden in mortality related to COVID-19, it is important to consider seasonal dynamics in mortality. Surveillance data provides an impartial indicator for monitoring the following phases of the epidemic, and may help in the evaluation of mitigation measures adopted.
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