Citation
Lemaitre, Joseph C.; Grantz, Kyra H.; Kaminsky, Joshua; Meredith, Hannah R.; Truelove, Shaun A.; Lauer, Stephen A.; Keegan, Lindsay T.; Shah, Sam; Wills, Josh; & Kaminsky, Kathryn, et al. (2021). A Scenario Modeling Pipeline for COVID-19 Emergency Planning. Scientific Reports, 11(1), 7534. PMCID: PMC8024322Abstract
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.URL
http://dx.doi.org/10.1038/s41598-021-86811-0Reference Type
Journal ArticleYear Published
2021Journal Title
Scientific ReportsAuthor(s)
Lemaitre, Joseph C.Grantz, Kyra H.
Kaminsky, Joshua
Meredith, Hannah R.
Truelove, Shaun A.
Lauer, Stephen A.
Keegan, Lindsay T.
Shah, Sam
Wills, Josh
Kaminsky, Kathryn
Perez-Saez, Javier
Lessler, Justin
Lee, Elizabeth C.