On the role of data, statistics and decisions in a pandemic

Beate Jahn, Sarah Friedrich, Joachim Behnke, Joachim Engel, Ursula Garczarek, Ralf Münnich, Markus Pauly, Adalbert Wilhelm, Olaf Wolkenhauer, Markus Zwick, Uwe Siebert and Tim Friede ()
Additional contact information
Beate Jahn: UMIT – University for Health Sciences, Medical Informatics and Technology
Sarah Friedrich: University Medical Center Göttingen
Joachim Behnke: Zeppelin University Friedrichshafen
Joachim Engel: Pädagogische Hochschule Ludwigsburg
Ursula Garczarek: Cytel Inc
Ralf Münnich: Trier University
Markus Pauly: TU Dortmund University
Adalbert Wilhelm: Jacobs University Bremen
Olaf Wolkenhauer: University of Rostock
Markus Zwick: Goethe University Frankfurt
Uwe Siebert: UMIT – University for Health Sciences, Medical Informatics and Technology
Tim Friede: University Medical Center Göttingen

AStA Advances in Statistical Analysis, 2022, vol. 106, issue 3, No 1, 349-382

Abstract: Abstract A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which countermeasures are appropriate at a particular stage of the pandemic? How can the severity of the pandemic be measured? What is the effect of vaccination in the population and which groups should be vaccinated first? The process of decision-making starts with data collection and modeling and continues to the dissemination of results and the subsequent decisions taken. The goal of this paper is to give an overview of this process and to provide recommendations for the different steps from a statistical perspective. In particular, we discuss a range of modeling techniques including mathematical, statistical and decision-analytic models along with their applications in the COVID-19 context. With this overview, we aim to foster the understanding of the goals of these modeling approaches and the specific data requirements that are essential for the interpretation of results and for successful interdisciplinary collaborations. A special focus is on the role played by data in these different models, and we incorporate into the discussion the importance of statistical literacy and of effective dissemination and communication of findings.

Keywords: COVID-19; SARS-CoV-2; Health-decision framework; Decision-analytic modeling (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10182-022-00439-7

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