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Awarded contract·U.S. Department Of Health And Human Services·District of Columbia

Medicaid Data Analysis for Bacterial Respiratory Pathogens and Information Systems

Won by MATHEMATICA INC.$5.0MAwarded 9/26/2026Single Award
Contract source

Awarded vendors

  • MATHEMATICA INC.

Description

The CDC’s Division of Bacterial Diseases is procuring a sole‑source BPA to continue advanced Medicaid data analysis for bacterial respiratory pathogens. Mathematica Inc. will refine infant GBS case‑count validation, enhance mother‑infant linkage algorithms, estimate maternal vaccination coverage, and reduce gestational‑age missingness using privileged CMS Medicaid data. The effort builds on prior CDC contracts, leveraging Mathematica’s “innovator‑status” access and proprietary methodology. • Four technical tasks: (1) GBS case validation, (2) probabilistic mother‑infant linkage, (3) maternal vaccine coverage estimation, (4) gestational‑age data completion. • Base period 27 Sep 2026 – 26 Sep 2027 with up to four one‑year options, potentially extending to 26 Sep 2031. • Estimated BPA value ≈ $5 million; pricing based on GSA Schedule rates (FAR 8.401 sole‑source justification).

Attached files

Key dates

Bids closed
10/31/2026
Intent to award
9/26/2026
Awarded
9/26/2026
Contract modified
10/16/2026
Starts
9/27/2026
Ends
9/26/2027Renews
Duration
1 year

Last updated

Details

Award type
Single Award
Procurement
Sole Source
Industry
Consulting Services
NAICS
541611
Solicitation №
47QRAA18D00BQ75D30126F21594

Contract value

$4,995,629

The PDF summary explicitly states the “Estimated Total Value of This BPA” as $4,995,629.94. Adding the cumulative value of prior related awards ($1,722,564.92) suggests a total historic investment of roughly $6.7 million, but the current BPA alone is priced at just under $5 million. Therefore the contract’s monetary worth is essentially $5 million, driven by GSA schedule rates for senior statisticians, data scientists, and subject‑matter experts over a one‑year base period with optional extensions.

AI estimate from the award documents

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