Evidence map›Paper›PMID 35897503›Full record

ArticleInternational journal of environmental research and public health2022

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

Daniele Pala, Enea Parimbelli, Cristiana Larizza, Cindy Cheng, Manuel Ottaviano, Andrea Pogliaghi, Goran Đukić, Aleksandar Jovanović, Ognjen Milićević, Vladimir Urošević and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Daniele PalaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
Enea ParimbelliDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-0679-828X
Cristiana LarizzaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.
Cindy ChengHochschule für Politik, The TUM School of Governance, Technical University of Munich (TUM), 80333 Munich, Germany.ORCID 0000-0002-7345-827X
Manuel OttavianoDepartamento de Tecnología Fotónica y Bioingeniería, Universidad Politècnica de Madrid, 28040 Madrid, Spain.
Andrea PogliaghiGeneGIS GI Srl, 20148 Milan, Italy.
Goran ĐukićResearch & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.
Aleksandar JovanovićResearch & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.
Ognjen MilićevićResearch & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.
Vladimir UroševićResearch & Development Department Belit Ltd., Trg Nikole Pašića 9, 11000 Belgrade, Serbia.
Paola CerchielloDipartimento di Scienze Economiche e Aziendali, University of Pavia, 27100 Pavia, Italy.
Paolo GiudiciDipartimento di Scienze Economiche e Aziendali, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-4198-0127
Riccardo BellazziDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Delivery of Health CareGlobal HealthGovernmentHumansPandemicsAtlasCOVID-19data miningpandemicPERISCOPEpolicy makingpublic health

Identifiers

PMID35897503
PMCPMC9330557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.