The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy

Loo, Sara L.; Howerton, Emily; Contamin, Lucie; Smith, Claire P.; Borchering, Rebecca K.; Mullany, Luke C.; Bents, Samantha; Carcelen, Erica; Jung, Sung-mok; Bogich, Tiffany; van Panhuis, Willem G.; Kerr, Jessica; Espino, Jessi; Yan, Katie; Hochheiser, Harry; Runge, Michael C.; Shea, Katriona; Lessler, Justin; Viboud, Cécile; Truelove, Shaun

doi:10.1016/j.epidem.2023.100738

Epidemics

2024

DOI: 10.1016/j.epidem.2023.100738

|View full text |Cite

The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy

Sara L. Loo,

Emily Howerton,

Lucie Contamin

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 8 publications

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy

Cited by 8 publications

References 33 publications

A transportation Revitalization index prediction model based on Spatial-Temporal attention mechanism

A transportation Revitalization index prediction model based on Spatial-Temporal attention mechanism

flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic

Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: Modeling the initial Omicron outbreak

Contact Info

Product

Resources

About