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, US

2 Center for Nonlinear Studies, Los Alamos National Laboratory , Los Alamos, NM, US

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

4 Presbyterian Health Services , Albuquerque, NM, US

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
  • US
  • Phone: 1 505-667-7544
  • Email: lcastro@lanl.gov