Policy Impact Analysis - 117/S/3588

Bill Overview

Title: Medical Countermeasures Surge Capacity Act of 2022

Description: This bill expands the scope of research and development activities carried out by the Biomedical Advanced Research and Development Authority (BARDA) to include support for maintaining and improving domestic manufacturing surge capacity and capabilities for vaccines, diagnostics, and other medical countermeasures. In particular, BARDA must enter into transactions with facilities to ensure that domestic manufacturing surge capacity is available to manufacture medical countermeasures and related products in the event of a public health emergency (e.g., by supporting flexible or advanced manufacturing). The Government Accountability Office must report on these efforts. In addition, BARDA must address support for domestic manufacturing surge capacity in its strategic plan for countermeasure research, development, and procurement. The bill also reauthorizes through FY2028 a program through which BARDA may support innovative technologies to assist in medical countermeasure research and development using grants, cooperative agreements, and other transactions.

Sponsors: Sen. Romney, Mitt [R-UT]

Target Audience

Population: People worldwide who could benefit from improved public health emergency responses

Estimated Size: 330000000

Reasoning

Simulated Interviews

Vaccine Production Supervisor (New Jersey)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I believe this policy is crucial. Enhancing capacity prepares us better for emergencies.
  • It helps secure jobs and potentially provides quicker response times during pandemics.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 9 5
Year 20 9 4

Epidemiologist (California)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • With improved facilities, data-driven responses to outbreaks could become more efficient.
  • Investments could lead to faster vaccine and diagnostic tool availability.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 9 6
Year 20 10 5

School Teacher (Florida)

Age: 55 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • Knowing there's a strong domestic production means peace of mind during flu seasons.
  • I hope the policy quickens the delivery of vaccines to schools.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Logistics Coordinator (Texas)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • This bill can directly improve logistics and increase demand for our services.
  • I believe better manufacturing leads to quicker recovery from health crises.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 8 6
Year 10 9 6
Year 20 8 5

University Student (New York)

Age: 22 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • The policy might revolutionize how quickly we can study infectious disease dynamics.
  • If it supports research, it could benefit my future career in public health.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 8 5
Year 10 8 5
Year 20 9 4

Retired (Ohio)

Age: 62 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Enhanced manufacturing capacity should translate to better access to necessary medication.
  • I hope this prevents scarcity during emergencies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 4
Year 2 6 4
Year 3 6 4
Year 5 7 4
Year 10 7 4
Year 20 6 4

Pharmacist (Illinois)

Age: 47 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • This could streamline how quickly vaccines reach pharmacies.
  • I'm optimistic that this policy will improve our infrastructure significantly.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 9 6
Year 10 9 6
Year 20 9 5

Biomedical Engineer (Washington)

Age: 31 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm excited to see investments in flexible and advanced manufacturing.
  • This policy could strengthen our ability to innovate and respond to emergencies faster.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 9 6
Year 5 9 6
Year 10 10 6
Year 20 10 6

Health Policy Analyst (Texas)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • Investing in surge capacity can future-proof our response to pandemics.
  • The policy reflects a proactive strategy I support strongly.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 9 7
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 9 7

Software Developer (Michigan)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • A focus on advanced manufacturing will demand innovative software solutions for which I'm excited.
  • The policy may open up more developments in my work area.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 8 7
Year 10 8 7
Year 20 7 6

Cost Estimates

Year 1: $1500000000 (Low: $1200000000, High: $1800000000)

Year 2: $1550000000 (Low: $1240000000, High: $1860000000)

Year 3: $1600000000 (Low: $1280000000, High: $1920000000)

Year 5: $1700000000 (Low: $1360000000, High: $2040000000)

Year 10: $2000000000 (Low: $1600000000, High: $2400000000)

Year 100: $30000000000 (Low: $24000000000, High: $36000000000)

Key Considerations