Selecting pharmacies for COVID-19 testing to ensure access

Risanger S, Singh B, Morton DP, Meyers LA (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Health Care Management Science Springer Verlag (Germany)

DOI: 10.1007/s10729-020-09538-w

Abstract

Rapid diagnostic testing for COVID-19 is key to guiding social distancing orders and containing emerging disease clusters by contact tracing and isolation. However, communities throughout the US do not yet have adequate access to tests. Pharmacies are already engaged in testing, but there is capacity to greatly increase coverage. Using a facility location optimization model and willingness-to-travel estimates from US National Household Travel Survey data, we find that if COVID-19 testing became available in all US pharmacies, an estimated 94% of the US population would be willing to travel to obtain a test, if warranted. Whereas the largest chain provides high coverage in densely populated states, like Massachusetts, Rhode Island, New Jersey, and Connecticut, independent pharmacies would be required for sufficient coverage in Montana, South Dakota, and Wyoming. If only 1,000 ZIP code areas for pharmacies in the US are selected to provide testing, judicious selection, using our optimization model, provides estimated access to 29 million more people than selecting pharmacies simply based on population density.

Authors with CRIS profile

Bismark Singh Economics - Discrete Optimization - Mathematics (EDOM)

Involved external institutions

NTNU Trondheim - Norwegian University of Science and Technology NO Norway (NO) Northwestern University US United States (USA) (US) University of Texas at Austin US United States (USA) (US)

How to cite

APA:

Risanger, S., Singh, B., Morton, D.P., & Meyers, L.A. (2021). Selecting pharmacies for COVID-19 testing to ensure access. Health Care Management Science. https://dx.doi.org/10.1007/s10729-020-09538-w

MLA:

Risanger, Simon, et al. "Selecting pharmacies for COVID-19 testing to ensure access." Health Care Management Science (2021).

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