4.7 Article

A scenario modeling pipeline for COVID-19 emergency planning

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-86811-0

Keywords

-

Funding

  1. State of California
  2. US Department of Health and Human Services
  3. US Department of Homeland Security
  4. Swiss National Science Foundation [200021-172578]
  5. mobility Grant
  6. US Office of Foreign Disaster Assistance [130492]
  7. Centers for Disease Control and Prevention [126280, 5U01CK000538-03]
  8. University of Utah Immunology, Inflammation, & Infectious Disease Initiative [26798]
  9. Amazon Web Services
  10. Johns Hopkins Health System at the Johns Hopkins Bloomberg School of Public Health
  11. Office of the Dean at the Johns Hopkins Bloomberg School of Public Health
  12. Swiss National Science Foundation (SNF) [200021_172578] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

The article introduces a flexible scenario modeling pipeline that provides support for public health decision makers to compare projections of epidemic trajectories and healthcare impacts from COVID-19 under different intervention scenarios in different locations. The article also points out the limitations of the model and future development directions.
Coronavirus disease 2019 (COVID-19) has caused strain on health systems worldwide due to its high mortality rate and the large portion of cases requiring critical care and mechanical ventilation. During these uncertain times, public health decision makers, from city health departments to federal agencies, sought the use of epidemiological models for decision support in allocating resources, developing non-pharmaceutical interventions, and characterizing the dynamics of COVID-19 in their jurisdictions. In response, we developed a flexible scenario modeling pipeline that could quickly tailor models for decision makers seeking to compare projections of epidemic trajectories and healthcare impacts from multiple intervention scenarios in different locations. Here, we present the components and configurable features of the COVID Scenario Pipeline, with a vignette detailing its current use. We also present model limitations and active areas of development to meet ever-changing decision maker needs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available