Explaining regional differences in mortality during the first wave of Covid-19 in Italy.
TLDR
In this paper, the authors investigate demographic and socio-economic factors contributing to the diverse regional impact of the Covid-19 pandemic during the first wave and find that Covid19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic.Abstract:
Italy was hit harshly by the Covid-19 pandemic, registering more than 35,000 Covid-19 deaths between February and July 2020. During this first wave of the epidemic, the virus spread unequally across the country, with northern regions witnessing more cases and deaths. We investigate demographic and socio-economic factors contributing to the diverse regional impact of the virus during the first wave. Using generalized additive mixed models, we find that Covid-19 mortality at regional level is negatively associated with the degree of intergenerational co-residence, number of intensive care unit beds per capita, and delay in the outbreak of the epidemic. Conversely, we do not find strong associations for several variables highlighted in recent literature, such as population density or the share of the population who are older or have at least one chronic disease. Our results underscore the importance of context-specific analysis for the study of a pandemic.read more
Citations
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Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review
Mehdi Alidadi,Ayyoob Sharifi +1 more
TL;DR: In this paper , a systematic literature review of papers indexed on the Web of Science and Scopus was conducted to find out how the built environment and human factors have affected the transmission of COVID-19 on different scales, including country, state, county, city, and urban district.
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Mass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19
TL;DR: In this paper , the authors studied the impact of reported coronavirus 2019 (COVID-19) cases and deaths in Spain resulting from large mass gatherings that occurred from March 6 to March 8, 2020.
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Statistical modelling of COVID-19 data: Putting generalized additive models to work
TL;DR: In this article , the authors further substantiate the success story of generalized additive models (GAMs) by focusing on three relevant pandemic-related issues, including the interdepency among infections in different age groups, concentrating on school children.
Statistical modelling of COVID-19 data: Putting Generalised Additive Models to work (preprint)/ en
TL;DR: In this paper , the authors further substantiate the success story of generalized additive models (GAMs) by focusing on three relevant pandemic-related issues, including the interdepency among infections in different age groups, concentrating on school children.
Statistical modelling of COVID-19 data: Putting generalized additive models to work
Cornelius Fritz,Giacomo De Nicola,Martje Rave,Maximilian Weigert,Yeganeh Khazaei,Ursula Berger,Helmut Kuchenhoff,Göran Kauermann +7 more
TL;DR: In this article , the authors further substantiate the success story of generalized additive models (GAMs) by focusing on three relevant pandemic-related issues, including the interdepency among infections in different age groups, concentrating on school children.
References
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TL;DR: The role of age structure in deaths thus far in Italy and South Korea and how the pandemic could unfold in populations with similar population sizes but different age structures are examined, showing a dramatically higher burden of mortality in countries with older versus younger populations.
Posted Content
Economic Growth and Social Capital in Italy
TL;DR: This paper found strong convergence of per capita incomes among the Italian regions during the 1960s and 1970s, using any of three measures: an index of civic community, the effectiveness of regional government, and citizen satisfaction with regional government.