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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Surveillance Systems (462) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Intensive Care Unit (ICU) (112) Secondary Use of Clinical Data for Research and Surveillance (366) Statistical Methods for Surveillance and Population Health (156) Innovative Methods in Public Health and Surveillance (332)

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 (9) Tweetations (3) Metrics

Journals

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  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
  8. Beene D, Miller C, Gonzales M, Kanda D, Francis I, Erdei E. Spatial nonstationarity and the role of environmental metal exposures on COVID-19 mortality in New Mexico. Applied Geography 2024;171:103400 View