Assessing the reliability of medical resource demand models in the context of COVID-19

The emerging field of demand modeling holds promise in averting medical resource shortages during future public health emergencies. However, achieving this potential necessitates focused efforts on standardization, transparency, and rigorous model validation before placing reliance on demand models in critical public health decision-making.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-10-31
DOI
https://doi.org/10.1186/s12911-024-02726-6
Citations
2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.79

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article

Assessing the reliability of medical resource demand models in the context of COVID-19

Kimberly A. Dautel, Ephraim Agyingi, Pras Pathmanathan
2 citations
BMC Medical Informatics and Decision Making
COVID-19 epidemiological studies
0.79
article

Assessing the reliability of medical resource demand models in the context of COVID-19

Kimberly A. Dautel, Ephraim Agyingi, Pras Pathmanathan
article en
2 citations

Abstract

The emerging field of demand modeling holds promise in averting medical resource shortages during future public health emergencies. However, achieving this potential necessitates focused efforts on standardization, transparency, and rigorous model validation before placing reliance on demand models in critical public health decision-making.

BMC Medical Informatics and Decision MakingVol. 24(1)
Center for Devices and Radiological Health (US), Rochester Institute of Technology (US), Office of Science (US)
U.S. Department of Energy, U.S. Food and Drug Administration, Oak Ridge Institute for Science and Education
Good health and well-being
Openalex Percentile: Top 29%
COVID-19 epidemiological studies
0.79
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