Abstract
The Covid-19 pandemic has spread across the world at a rate never seen before, affecting different countries and having a huge impact not only on health care systems but also on economic systems. Never as in this situation the continuous exchange of views between scientists of different disciplines must be considered the keystone to overcome this emergency. The dramatic global situation has prompted many researchers from different fields to focus on studying the Covid-19 pandemic and its economic and social implications in a multi-facet fashion. This volume collects the contributions to the COVid-19 Empirical Research (COVER) Conference, organized by the Centre of Excellence in Economics and Data Science of the Department of Economics, Management and Quantitative Methods, University of Milan, Italy, October 30th, 2020. This conference aimed to collect different points of view by opening an interdisciplinary discussion on the possible developments of the pandemic. The conference contributions ranged in the social, economic and mathematical-statistical areas
Highlights
The health crisis caused by the Covid-19 disease has created major problems to Italian manufacturing sectors
An analysis based on the ISCO indicator, allows the identification of the most competitive sectors
In this work we have presented a two–strain SIR model to explain the spread of SARS–COV–2 variants like B.1.1.7 in Germany
Summary
The health crisis caused by the Covid-19 disease has created major problems to Italian manufacturing sectors. In elaborating a recovery and restart strategy for the Italian manufacturing sectors it is important to highlight the elements of weakness and competitive advantages of the Italian manufacturing sectors, in the wake of a “New Industrial Strategy for Europe"[1] that identifies (for Europe) the strategic sectors in which to invest, in order to face future challenges and reduce the dependence from foreign countries, in particular from the People’s Republic of China These sectors are food, infrastructure, robotics, microelectronics, pharmaceuticals, 5g communications networks, nanotechnologies, quantum technology, biomedicine, biotechnology. The coronavirus pandemic has proven to be the highest level of natural variability healthcare systems have ever experienced: a phenomenon which has undermined the ability to predict Covid-19’s impact on patient flows and the ability to implement consistent approaches for service delivery Since this disease is new, wholly unknown, there has been complete lack of information about:[1] i) its spread through the population; ii) expected inpatient flow to hospitals; iii) consequences on patients’ health and subsequent level of care assistance requirements. The responsibility for the provision of care, for governance, for the design of the organizational model of public Local Health Authorities (LHAs) and hospitals, and typically for the contracts with accredited private hospitals, is decentralised to Regional level.[4]
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