Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27888, first published .
How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis

How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis

How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis

Lauren A Castro   1, 2 , DPhil ;   Courtney D Shelley   1 , DPhil ;   Dave Osthus   3 , DPhil ;   Isaac Michaud   3 , DPhil ;   Jason Mitchell   4 , MD ;   Carrie A Manore   1 , DPhil ;   Sara Y Del Valle   1 , DPhil

1 Information Systems & Modeling Group, Analytics, Intelligence and Technology Division, Los Alamos National Laboratory, Los Alamos, NM, United States

2 Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States

3 Statistical Sciences Group, Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States

4 Presbyterian Health Services, Albuquerque, NM, United States

Corresponding Author:

  • Lauren A Castro, DPhil
  • Information Systems & Modeling Group
  • Analytics, Intelligence and Technology Division
  • Los Alamos National Laboratory
  • PO Box 1663
  • Los Alamos, NM, 87545
  • United States
  • Phone: 1 505-667-7544
  • Email: lcastro@lanl.gov