Beate Jahn|Sarah Friedrich|Joachim Behnke|Joachim Engel|Ursula Garczarek|Ralf Münnich|Markus Pauly|Adalbert Wilhelm|Olaf Wolkenhauer|Markus Zwick|Uwe Siebert|Tim Friede
On the role of data, statistics and decisions in a pandemic
Universitätsmedizin Göttingen|Zeppelin Universität gemeinnützige GmbH|Ludwigsburg University of Education|Cytel (United States)|Universität Trier|TU Dortmund University|Constructor University|University of Rostock|Goethe University Frankfurt|Harvard University|Massachusetts General Hospital|Universitätsmedizin Göttingen
pandemic poses particular challenges decisionmaking need continuously adapt decisions rapidly changing evidence available data example countermeasures appropriate particular stage pandemic severity pandemic measured effect vaccination population groups vaccinated first process decisionmaking starts data collection modeling continues dissemination results subsequent decisions taken goal paper give overview process provide recommendations different steps statistical perspective particular discuss range modeling techniques including mathematical statistical decisionanalytic models along applications covid19 context overview aim foster understanding goals modeling approaches specific data requirements essential interpretation results successful interdisciplinary collaborations special focus role played data different models incorporate discussion importance statistical literacy effective dissemination communication findings