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

Atlas COVID-19 PERISCOPE data mining pandemic policy making public health

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
26 07 2022
Historique:
received: 30 04 2022
revised: 04 07 2022
accepted: 20 07 2022
entrez: 28 7 2022
pubmed: 29 7 2022
medline: 30 7 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35897503
pii: ijerph19159136
doi: 10.3390/ijerph19159136
pmc: PMC9330557
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Daniele Pala (D)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Enea Parimbelli (E)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
Telfer School of Management, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Cristiana Larizza (C)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.

Cindy Cheng (C)

Hochschule für Politik, The TUM School of Governance, Technical University of Munich (TUM), 80333 Munich, Germany.

Manuel Ottaviano (M)

Departamento de Tecnología Fotónica y Bioingeniería, Universidad Politècnica de Madrid, 28040 Madrid, Spain.

Andrea Pogliaghi (A)

GeneGIS GI Srl, 20148 Milan, Italy.

Goran Đukić (G)

Research & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.

Aleksandar Jovanović (A)

Research & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.

Ognjen Milićević (O)

Research & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.

Vladimir Urošević (V)

Research & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.

Paola Cerchiello (P)

Dipartimento di Scienze Economiche e Aziendali, University of Pavia, 27100 Pavia, Italy.

Paolo Giudici (P)

Dipartimento di Scienze Economiche e Aziendali, University of Pavia, 27100 Pavia, Italy.

Riccardo Bellazzi (R)

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.

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