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
Author Information
  1. Giovanna Jona Lasinio: Department of Statistical Sciences "La Sapienza" University of Rome Rome Italy. ORCID
  2. Fabio Divino: Department of Bio-Sciences University of Molise Italy.
  3. Gianfranco Lovison: Department of Economics Management and Statistics, University of Palermo Palermo Italy.
  4. Marco Mingione: Department of Political Sciences University of Roma Tre Rome Italy.
  5. Pierfrancesco Alaimo Di Loro: Department of GEPLI Libera Univerit�� Maria Ss. Assunta (LUMSA) Rome Italy.
  6. Alessio Farcomeni: Department of Economics and Finance University of Rome "Tor Vergata" Rome Italy.
  7. Antonello Maruotti: Department of GEPLI Libera Univerit�� Maria Ss. Assunta (LUMSA) Rome Italy. ORCID

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.

Keywords

References

  1. PLoS Curr. 2016 May 31;8: [PMID: 27366586]
  2. Science. 2021 Feb 19;371(6531): [PMID: 33323424]
  3. Environmetrics. 2022 Dec;33(8):e2768 [PMID: 36712697]
  4. Biom J. 2021 Mar;63(3):503-513 [PMID: 33251604]
  5. Front Public Health. 2022 Apr 04;10:820642 [PMID: 35444988]
  6. Biom J. 2022 Mar;64(3):523-538 [PMID: 34914131]
  7. PLoS One. 2021 May 27;16(5):e0237277 [PMID: 34043653]
  8. Nat Hum Behav. 2020 Dec;4(12):1303-1312 [PMID: 33199859]
  9. Int J Forecast. 2022 Apr-Jun;38(2):423-438 [PMID: 32863495]
  10. Stat Med. 2021 Jul 20;40(16):3843-3864 [PMID: 33955571]
  11. Spat Stat. 2022 Jun;49:100544 [PMID: 36407655]

Word Cloud

Created with Highcharts 10.0.0dataepidemicgroupItalianqualityneedappropriatemodelingrolepolicydecisionschangesresearchquestionstoolsevolutionstatisticaldifferentsharedCOVID-19acrossamountpooravailablemainindicatorsrequirespecificskillscontextstatisticianplayskeyprocessleadsstartingmonitoringevaluatingrisks"what""why"representfundamentalprovidetimelyeffectivemanageAnswersmodelsvisualizationgiveoverviewplayedStatgroup-19independentbornMarch2020includessevenstatisticiansuniversitiesbackgroundsinterestanalysisbiostatisticsSincebeginningpandemicinteractedauthoritiesjournalistssupportinformgeneralpubliccollaborationledseveralscientificpapersaccruedvisibilityvariousmediamadepossiblecontinuousinteractionmembersuniqueexpertiseTwoyearspandemic:experienceof Statgroup-19COVID���19

Similar Articles

Cited By (3)