Evidence map›Paper›PMID 36712697›Full record

ArticleEnvironmetrics2022

Two years of COVID-19 pandemic: The Italian experience of Statgroup-19.

Giovanna Jona Lasinio, Fabio Divino, Gianfranco Lovison, Marco Mingione, Pierfrancesco Alaimo Di Loro, Alessio Farcomeni, Antonello Maruotti

Abstract read
In one paragraph

Article in Environmetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Giovanna Jona LasinioDepartment of Statistical Sciences "La Sapienza" University of Rome Rome Italy.ORCID https://orcid.org/0000-0001-8912-5018
Fabio DivinoDepartment of Bio-Sciences University of Molise Italy.
Gianfranco LovisonDepartment of Economics Management and Statistics, University of Palermo Palermo Italy.
Marco MingioneDepartment of Political Sciences University of Roma Tre Rome Italy.
Pierfrancesco Alaimo Di LoroDepartment of GEPLI Libera Univerità Maria Ss. Assunta (LUMSA) Rome Italy.
Alessio FarcomeniDepartment of Economics and Finance University of Rome "Tor Vergata" Rome Italy.
Antonello MaruottiDepartment of GEPLI Libera Univerità Maria Ss. Assunta (LUMSA) Rome Italy.ORCID https://orcid.org/0000-0001-8377-9950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amount and poor quality of available data and the need of appropriate modeling of the main epidemic indicators require specific skills. In this context, the statistician plays a key role in the process that leads to policy decisions, starting with monitoring changes and evaluating risks. The "what" and the "why" of these changes represent fundamental research questions to provide timely and effective tools to manage the evolution of the epidemic. Answers to such questions need appropriate statistical models and visualization tools. Here, we give an overview of the role played by Statgroup-19, an independent Italian research group born in March 2020. The group includes seven statisticians from different Italian universities, each with different backgrounds but with a shared interest in data analysis, statistical modeling, and biostatistics. Since the beginning of the COVID-19 pandemic the group has interacted with authorities and journalists to support policy decisions and inform the general public about the evolution of the epidemic. This collaboration led to several scientific papers and an accrued visibility across various media, all made possible by the continuous interaction across the group members that shared their unique expertise.

Indexed as

COVID‐19data qualityepidemic data

Identifiers

PMID36712697
PMCPMC9874523

What OpenQuestion holds

Textmetadata
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.