This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) JMIR Theme Issue: COVID-19 Special Issue (2394) Surveillance Systems (430) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) Intensive Care Unit (ICU) (102) Secondary Use of Clinical Data for Research and Surveillance (326) Statistical Methods for Surveillance and Population Health (148) Innovative Methods in Public Health and Surveillance (307)

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

Authors of this article:

Lauren A Castro1, 2 Author Orcid Image ;   Courtney D Shelley1 Author Orcid Image ;   Dave Osthus3 Author Orcid Image ;   Isaac Michaud3 Author Orcid Image ;   Jason Mitchell4 Author Orcid Image ;   Carrie A Manore1 Author Orcid Image ;   Sara Y Del Valle1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Hametner C, Böhler L, Kozek M, Bartlechner J, Ecker O, Du Z, Kölbl R, Bergmann M, Bachleitner-Hofmann T, Jakubek S. Intensive care unit occupancy predictions in the COVID-19 pandemic based on age-structured modelling and differential flatness. Nonlinear Dynamics 2022;109(1):57 View
  2. Aleta A, Blas-Laína J, Tirado Anglés G, Moreno Y. Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference. BMC Medical Research Methodology 2023;23(1) View
  3. O’neil J, Geisler B, Rusinak D, Bassett I, Triant V, Mckenzie R, Mattison M, Baughman A. Discharge to post–acute care and other predictors of prolonged length of stay during the initial COVID-19 surge: a single site analysis. International Journal for Quality in Health Care 2023;35(1) View
  4. Meakin S, Abbott S, Bosse N, Munday J, Gruson H, Hellewell J, Sherratt K, Chapman L, Prem K, Klepac P, Jombart T, Knight G, Jafari Y, Flasche S, Waites W, Jit M, Eggo R, Villabona-Arenas C, Russell T, Medley G, Edmunds W, Davies N, Liu Y, Hué S, Brady O, Pung R, Abbas K, Gimma A, Mee P, Endo A, Clifford S, Sun F, McCarthy C, Quilty B, Rosello A, Sandmann F, Barnard R, Kucharski A, Procter S, Jarvis C, Gibbs H, Hodgson D, Lowe R, Atkins K, Koltai M, Pearson C, Finch E, Wong K, Quaife M, O’Reilly K, Tully D, Funk S. Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level. BMC Medicine 2022;20(1) View
  5. Vinci A, Pasquarella A, Corradi M, Chatzichristou P, D’Agostino G, Iannazzo S, Trani N, Parafati M, Palombi L, Ientile D. Emergency Medical Services Calls Analysis for Trend Prediction during Epidemic Outbreaks: Interrupted Time Series Analysis on 2020–2021 COVID-19 Epidemic in Lazio, Italy. International Journal of Environmental Research and Public Health 2022;19(10):5951 View
  6. Begen M, Rodrigues F, Rice T, Zaric G. A forecasting tool for a hospital to plan inbound transfers of COVID-19 patients from other regions. BMC Public Health 2024;24(1) View
  7. Grøntved S, Jørgine Kirkeby M, Paaske Johnsen S, Mainz J, Brink Valentin J, Mohr Jensen C. Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping. International Journal of Medical Informatics 2024;189:105527 View