SOURCES SOUGHT
A -- Perform COVID-19 Modeling and Prediction Analyses
- Notice Date
- 4/30/2020 6:05:42 AM
- Notice Type
- Sources Sought
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- W4PZ USA MED RSCH ACQUIS ACT FORT DETRICK MD 21702-5014 USA
- ZIP Code
- 21702-5014
- Solicitation Number
- 0011485192
- Response Due
- 5/4/2020 10:00:00 AM
- Archive Date
- 05/19/2020
- Point of Contact
- Beverly R. Michaels, Phone: 301-619-1464, Sharew Hailu
- E-Mail Address
-
beverly.r.michaels.civ@mail.mil, sharew.hailu.civ@mail.mil
(beverly.r.michaels.civ@mail.mil, sharew.hailu.civ@mail.mil)
- Description
- The WRAIR aims to conduct biomedical research that is responsive to Department of Defense and US Army requirements and delivers life-saving products including knowledge, technology and medical material that sustain the combat effectiveness of the Warfighter. The purpose of this urgent requirement is to facilitate collaboration between a partnered research laboratory and WRAIR investigators, to perform requested COVID-19 modeling and prediction analyses within a specified time-period; including re-analyses as requested by WRAIR investigators. Such analyses will pertain to US military force health protection (FHP) throughout the COCOMS, and will leverage data inputs, assumptions and parameters specified by WRAIR investigators. These analyses will cover a range of FHP-relevant questions which will arise on-demand, and may include healthcare system predictions, epidemic spread predictions, clinical outcome predictions, resource allocation, and the impact of a range of non-pharmaceutical and pharmaceutical interventions. The contracted partner must have current capacity to provide immediate support, and capabilities to include the following:� substantive publication-proven experience in prior epidemic virus forecasting and modeling, a history of publications of substantive modeling analyses specifically for COVID-19, extensive expertise in developing and implementing agent-based models which use notional/synthetic populations and have experience in applying modeling for advanced vaccine development is also a key capability.
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/8040ee76069249f89bb1e28cb3d234b9/view)
- Record
- SN05641962-F 20200502/200430230149 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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