Your browser doesn't support javascript.
Magnitude and time-course of excess mortality during COVID-19 outbreak: population-based empirical evidence from highly impacted provinces in northern Italy.
Conti, Sara; Ferrara, Pietro; Mazzaglia, Giampiero; D'Orso, Marco I; Ciampichini, Roberta; Fornari, Carla; Madotto, Fabiana; Magoni, Michele; Sampietro, Giuseppe; Silenzi, Andrea; Sileo, Claudio V; Zucchi, Alberto; Cesana, Giancarlo; Manzoli, Lamberto; Mantovani, Lorenzo G.
  • Conti S; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • Ferrara P; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • Mazzaglia G; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • D'Orso MI; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • Ciampichini R; Health Protection Agency of Bergamo (ATS Bergamo), Bergamo, Italy.
  • Fornari C; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • Madotto F; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
  • Magoni M; Value-based Healthcare Unit, IRCCS Multimedica, Sesto San Giovanni, Italy.
  • Sampietro G; Health Protection Agency of Brescia (ATS Brescia), Brescia, Italy.
  • Silenzi A; Health Protection Agency of Bergamo (ATS Bergamo), Bergamo, Italy.
  • Sileo CV; Health Protection Agency of Brescia (ATS Brescia), Brescia, Italy.
  • Zucchi A; Center for Leadership in Medicine Research and Studies, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Cesana G; Health Protection Agency of Brescia (ATS Brescia), Brescia, Italy.
  • Manzoli L; Health Protection Agency of Bergamo (ATS Bergamo), Bergamo, Italy.
  • Mantovani LG; Center for Public Health Research, University of Milano - Bicocca, Monza, Italy.
ERJ Open Res ; 6(3)2020 Jul.
Article in English | MEDLINE | ID: covidwho-814557
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT

BACKGROUND:

The real impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on overall mortality remains uncertain as surveillance reports have attributed a limited number of deaths to novel coronavirus disease 2019 (COVID-19) during the outbreak. The aim of this study was to assess the excess mortality during the COVID-19 outbreak in highly impacted areas of northern Italy.

METHODS:

We analysed data on deaths that occurred in the first 4 months of 2020 provided by the health protection agencies (HPAs) of Bergamo and Brescia (Lombardy), building a time-series of daily number of deaths and predicting the daily standardised mortality ratio (SMR) and cumulative number of excess deaths through a Poisson generalised additive model of the observed counts in 2020, using 2019 data as a reference.

RESULTS:

We estimated that there were 5740 (95% credible set (CS) 5552-5936) excess deaths in the HPA of Bergamo and 3703 (95% CS 3535-3877) in Brescia, corresponding to a 2.55-fold (95% CS 2.50-2.61) and 1.93 (95% CS 1.89-1.98) increase in the number of deaths. The excess death wave started a few days later in Brescia, but the daily estimated SMR peaked at the end of March in both HPAs, roughly 2 weeks after the introduction of lockdown measures, with significantly higher estimates in Bergamo (9.4, 95% CI 9.1-9.7).

CONCLUSION:

Excess mortality was significantly higher than that officially attributed to COVID-19, disclosing its hidden burden likely due to indirect effects on the health system. Time-series analyses highlighted the impact of lockdown restrictions, with a lower excess mortality in the HPA where there was a smaller delay between the epidemic outbreak and their enforcement.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 23120541.00458-2020

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: 23120541.00458-2020