Moving Forward From the COVID-19 Pandemic

The COVID-19 outbreak was the most serious pandemic in recent decades. More than 7 million deaths have been attributed to COVID-19 (https://covid19.who.int/). The pandemic demanded difficult decisions on the best ways to contain the public health threat while preserving economic and social functioning. These dilemmas led to an unprecedented effort to collect relevant data, which became essential tools for decision makers and standard reports to the public by the media. Like many statisticians worldwide, we were all engaged in those processes; our collective experience includes informing policy decisions in various European and Middle Eastern countries, India, and the USA. A common feature: we all found that our and statistics’ ability to influence policy was often less than desired, in some cases much less. The goal of this letter is to draw lessons from our experiences on what can and should be done to provide a better basis for expert statistical involvement and influence. COVID-19 has morphed to endemic disease, dropping out of the headlines, and much of the statistical response enterprise has also subsided. Although the return to “business as usual” is natural, we advocate that now is the time to exploit and act on the pandemic lessons learned. We begin by commenting on salient statistical issues that emerged, then relate to more general challenges of how to increase the value of our discipline in times of crisis (Grieve et al. 2023), and conclude with a list of action items.

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Publication Details

Journal
The American Statistician
Published
2025-09-19
DOI
https://doi.org/10.1080/00031305.2025.2562891
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
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article

Moving Forward From the COVID-19 Pandemic

Ralph Brinks, Geert Molenberghs, Arne C. Bathke, Amit Huppert et al.
The American Statistician
COVID-19 epidemiological studies
article

Moving Forward From the COVID-19 Pandemic

Ralph Brinks, Geert Molenberghs, Arne C. Bathke, Amit Huppert, Bhramar Mukherjee, David M. Steinberg, Filomena Maggino
article en

Abstract

The COVID-19 outbreak was the most serious pandemic in recent decades. More than 7 million deaths have been attributed to COVID-19 (https://covid19.who.int/). The pandemic demanded difficult decisions on the best ways to contain the public health threat while preserving economic and social functioning. These dilemmas led to an unprecedented effort to collect relevant data, which became essential tools for decision makers and standard reports to the public by the media. Like many statisticians worldwide, we were all engaged in those processes; our collective experience includes informing policy decisions in various European and Middle Eastern countries, India, and the USA. A common feature: we all found that our and statistics’ ability to influence policy was often less than desired, in some cases much less. The goal of this letter is to draw lessons from our experiences on what can and should be done to provide a better basis for expert statistical involvement and influence. COVID-19 has morphed to endemic disease, dropping out of the headlines, and much of the statistical response enterprise has also subsided. Although the return to “business as usual” is natural, we advocate that now is the time to exploit and act on the pandemic lessons learned. We begin by commenting on salient statistical issues that emerged, then relate to more general challenges of how to increase the value of our discipline in times of crisis (Grieve et al. 2023), and conclude with a list of action items.

The American StatisticianVol. 80(1)
Witten/Herdecke University (DE), Tel Aviv University (IL), Wittenberg University (US), Sheba Medical Center (IL), Yale University (US), Israel National Institute for Health Policy Research (IL), Artificial Intelligence in Medicine (Canada) (CA), Ludwig-Maximilians-Universität München (DE), Sapienza University of Rome (IT), Hasselt University (BE), KU Leuven (BE)
Openalex Percentile: Top 71%
COVID-19 epidemiological studies
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