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 Courtney D Shelley Dave Osthus Isaac J Michaud Jason Mitchell Carrie A Manore Sara Y Del Valle

Published in: JMIR public health and surveillance (2021)

Real-time forecasting of the burden imposed by a spreading infectious disease is a crucial component of decision support during a public health emergency. Our proposed methodology demonstrated utility in providing near-term forecasts, particularly at the state level. This tool can aid other stakeholders as they face COVID-19 population impacts now and in the future.

Keyphrases

public health
coronavirus disease
sars cov
infectious diseases
healthcare
emergency department
preterm infants
current status
respiratory syndrome coronavirus
global health
risk factors
gestational age
health information
emergency medical