A COVID-19 Primer: Analyzing Health Care Claims, Administrative Data, and Public Use Files

Alex Bohl and Michelle Roozeboom-Baker

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: This primer is designed to help researchers, data scientists, and others who analyze health care claims or administrative data (herein referred to as “claims†) quickly join the effort to better understand, track, and contain COVID-19.

Keywords: COVID-19; Health Care (search for similar items in EconPapers)
Pages: 13
New Economics Papers: this item is included in nep-env
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... /covid-primer-v9.pdf (application/pdf)

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:mpr:mprres:454610dac1ae416188a69779f0986844

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).