Network based evidence of the financial impact of Covid-19 pandemic

Ahelegbey, Daniel Felix; Cerchiello, Paola; Scaramozzino, Roberta

doi:10.1016/j.irfa.2022.102101

Cited by 21 publications

(1 citation statement)

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“…Statistical methods, such as Principal Component Analysis (PCA) or Dynamic Factor Models (DFM), allow to create statistical models of epidemiological susceptibility risks around the world [ 24 ], providing a further instrument for policy makers and organizations to assess the epidemiological risk during epidemics and predict possible consequences. Statistical an ML analysis has been performed also on economic data, for example in Ahelegbey et al [ 25 ], where network analysis has been used to study the connections among several companies before and during the pandemic, showing that there were important changes reflecting the economic difficulties caused by the spread of the virus.…”

Section: Discussionmentioning

confidence: 99%

A New Interactive Tool to Visualize and Analyze COVID-19 Data: The PERISCOPE Atlas

Pala

Parimbelli

Larizza

et al. 2022

IJERPH

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Since the start of the 21st century, the world has not confronted a more serious threat to global public health than the COVID-19 pandemic. While governments initially took radical actions in response to the pandemic to avoid catastrophic collapse of their health care systems, government policies have also had numerous knock-on socioeconomic, political, behavioral and economic effects. Researchers, thus, have a unique opportunity to forward our collective understanding of the modern world and to respond to the emergency situation in a way that optimizes resources and maximizes results. The PERISCOPE project, funded by the European Commission, brings together a large number of research institutions to collect data and carry out research to understand all the impacts of the pandemic, and create predictive models that can be used to optimize intervention strategies and better face possible future health emergencies. One of the main tangible outcomes of this project is the PERISCOPE Atlas: an interactive tool that allows to visualize and analyze COVID-19-related health, economic and sociopolitical data, featuring a WebGIS and several dashboards. This paper describes the first release of the Atlas, listing the data sources used, the main functionalities and the future development.

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Section: Discussionmentioning

confidence: 99%