2021
DOI: 10.1007/s00148-021-00857-y
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Local mortality estimates during the COVID-19 pandemic in Italy

Abstract: Estimates of the real death toll of the COVID-19 pandemic have proven to be problematic in many countries, Italy being no exception. Mortality estimates at the local level are even more uncertain as they require stringent conditions, such as granularity and accuracy of the data at hand, which are rarely met. The “official” approach adopted by public institutions to estimate the “excess mortality” during the pandemic draws on a comparison between observed all-cause mortality data for 2020 and averages of mortal… Show more

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Cited by 34 publications
(28 citation statements)
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“…For that reason, comparison between the COVID-19 caseload and birth numbers was not feasible. Instead, excess mortality is considered the more reliable measure of the impact of the pandemic ( Leon et al , 2020 ; Cerqua et al , 2021 ; Giattino et al , 2021 ). Based on this, we compared the monthly birth numbers with the excess mortality in 14 European countries.…”
Section: Methodsmentioning
confidence: 99%
“…For that reason, comparison between the COVID-19 caseload and birth numbers was not feasible. Instead, excess mortality is considered the more reliable measure of the impact of the pandemic ( Leon et al , 2020 ; Cerqua et al , 2021 ; Giattino et al , 2021 ). Based on this, we compared the monthly birth numbers with the excess mortality in 14 European countries.…”
Section: Methodsmentioning
confidence: 99%
“…Estimates of excess mortality from all causes are heterogeneous across the country with dramatic increases in northern geographical areas, but there remain no figures of net mortality in central and southern Italy. Figures are periodically updated by the Italian National Institute of Statistics (ISTAT) and the National Institute of Health (ISS), and several studies estimated the excess total mortality in Italy [ 8 , 9 , 10 , 11 ]. However, a few studies have been published on mortality data by specific cause of death [ 12 , 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…We employ data on excess mortality by LMAs taken from Cerqua et al. (2020) ; these data were estimated through Machine Learning techniques in order to generate a counterfactual scenario of mortality in the absence of COVID-19 rather than merely comparing mortality of 2020 with that of previous years, thus obtaining more reliable mortality data.…”
Section: Introductionmentioning
confidence: 99%