2020
DOI: 10.1093/pubmed/fdaa165
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COVID-19 in Italy: An Analysis of Death Registry Data

Abstract: Background There are still many unknowns about COVID-19. We do not know its exact mortality rate nor the speed through which it spreads across communities. This lack of evidence complicates the design of appropriate response policies. Methods We source daily death registry data for 4100 municipalities in Italy’s north and match them to Census data. We augment the dataset with municipality-level data on a host of co-factors of… Show more

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Cited by 85 publications
(83 citation statements)
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“…In Italy, a study comparing different variables that analyzed the effect of COVID-19 on daily deaths per 100,000 people of all genders and ages showed 30% higher mortality in men compared to women, with this difference becoming notably more striking in those aged 60 years and older. Worldwide, it is estimated that twice as many men die due to COVID-19 than women, according to data from the European Center for Disease Prevention and Control [ 9 , 10 ].…”
Section: Discussionmentioning
confidence: 99%
“…In Italy, a study comparing different variables that analyzed the effect of COVID-19 on daily deaths per 100,000 people of all genders and ages showed 30% higher mortality in men compared to women, with this difference becoming notably more striking in those aged 60 years and older. Worldwide, it is estimated that twice as many men die due to COVID-19 than women, according to data from the European Center for Disease Prevention and Control [ 9 , 10 ].…”
Section: Discussionmentioning
confidence: 99%
“…Next, we included a measure of urbanisation (percentage share of urban population), as studies show that the transmission of COVID-19 is higher in urban centres because of the ease of transmission and contraction due to travel, connection to outside world and so on, and urbanisation relates to the nature of egalitarian processes associated with modernisation [ 18 ]. Finally, we included a measure of the share of the population aged >65 years in country c sourced from the WDI data platform because research shows that the fatality rate from COVID-19 rises sharply with age due to co-morbidities [ 19 ]. We use the past five-year average on each of these variables.…”
Section: Methodsmentioning
confidence: 99%
“…To do so, we follow closely the methodology that we developed in two companion papers. 10,15 Specifically, we rely on a differences-in-differences approach to estimate the dynamic effects on the mortality rate, using the year 2016 as counterfactual of what mortality would have been in absence of Covid-19. The choice of using the year 2016 follows from a visual inspection of the data (see Appendix Figure A1), but the results are robust to using mean 2015-2019 mortality as alternative counterfactual.…”
Section: Empirical Methodologymentioning
confidence: 99%