COVID-19 forecasting and mathematical modeling

Details

• Corporate Authors:
  National Center for Immunization and Respiratory Diseases (U.S.). Division of Viral Diseases.
• Description:
  Updated Mar. 15, 2023
  
  CDC is working closely with state, tribal, local, and territorial health departments, and other public health partners, to respond to the COVID-19 pandemic. Forecasts of disease burden help inform public health decision making by projecting the likely impact of COVID-19 in the next few weeks. These forecasts are generated using mathematical models by CDC partners in the COVID-19 Forecast Hub. Forecasts are used to inform public health decisions about pandemic planning, resource allocation, implementation of social distancing measures, and other interventions.
  
  
• Subjects:
  Coronavirus Infections COVID-19 Forecasting Hospitalization Mathematics Models, Theoretical Mortality Pandemics Public Health Surveillance
• Document Type:
  Webpage
• Place as Subject:
  United States
• Pages in Document:
  https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/forecasting-math-modeling.html
• Collection(s):
  Stephen B. Thacker CDC Library
• Main Document Checksum:
  urn:sha256:ffe878813c3945f32835abb741c0a9389043f4273ccdd3eaacf66f0a474ab3a4
• Download URL:
  https://stacks.cdc.gov/view/cdc/125978/cdc_125978_DS1.pdf
• File Type:
  [PDF - 99.09 KB ]