COVID-19 Pandemic as a Change Agent in the Structure and Practice of Statistical Consulting Centers

Shing Lee, Emilia Bagiella, Roger Vaughan, Usha Govindarajulu, Paul Christos, Denise Esserman, Hua Zhong and Mimi Kim

The American Statistician, 2022, vol. 76, issue 2, 152-158

Abstract: When New York City (NYC) became an epicenter of the COVID-19 pandemic in the spring of 2020, statistical consulting centers at academic medical institutions in the area were immediately inundated with requests from hospital leadership and researchers for methodological support to address different aspects of the outbreak. Statisticians suddenly had to pivot from their usual responsibilities to focus entirely on COVID-19 work, and consulting centers had to devise innovative strategies to restructure their workflow and develop new infrastructure to address the acute demand for support. As statisticians from seven NYC-area institutions, we share our experiences and lessons learned during the pandemic, with the hope that this will lead not only to better preparedness for future public health crises when the skills and expertise of statisticians are critically needed, but also to lasting improvements to the structure and practice of statistical consulting centers.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2021.2023045 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:76:y:2022:i:2:p:152-158

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20

DOI: 10.1080/00031305.2021.2023045

Access Statistics for this article

The American Statistician is currently edited by Eric Sampson

More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().