Policy Impact Analysis - 117/S/4014

Bill Overview

Title: Brycen Gray and Ben Price COVID–19 Cognitive Research Act

Description: This bill directs the National Science Foundation (NSF) to award competitive, merit-reviewed grants to eligible entities, including through the RAPID funding mechanism, to support interdisciplinary research on the disruption of regular cognitive processes associated with both short-term and long-term COVID-19 infections, including with respect to children and adolescents. No later than 45 days after the enactment of this bill, the NSF shall enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to study and produce a report on the disruption of cognitive processes associated with COVID-19 infection.

Sponsors: Sen. Duckworth, Tammy [D-IL]

Target Audience

Population: Individuals globally affected by cognitive impacts of COVID-19

Estimated Size: 80000000

Reasoning

Simulated Interviews

School Teacher (New York, NY)

Age: 37 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • I hope this research brings more understanding to what I went through. It was hard to focus on my work.

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 6
Year 10 8 6
Year 20 9 7

Researcher (Los Angeles, CA)

Age: 42 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy should provide much-needed funding to understand the cognitive impact of COVID-19 better.

Wellbeing Over Time (With vs Without Policy)

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

Student (Chicago, IL)

Age: 15 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 14/20

Statement of Opinion:

  • I hope they find something that can help us focus better after having COVID.

Wellbeing Over Time (With vs Without Policy)

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

Parent (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 16/20

Statement of Opinion:

  • This research is crucial; I've seen how much my kids have struggled post-COVID.

Wellbeing Over Time (With vs Without Policy)

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

Healthcare Worker (Boston, MA)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Cognitive issues weren't part of my experience, but I'm glad research is being done for those who need it.

Wellbeing Over Time (With vs Without Policy)

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

Student (Houston, TX)

Age: 12 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 17/20

Statement of Opinion:

  • I'm not sure how this affects me, but maybe it can help my friends who had COVID.

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 8
Year 20 8 8

Retired (Miami, FL)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 13/20

Statement of Opinion:

  • If this research can help improve the understanding and treatment, it would be invaluable to many.

Wellbeing Over Time (With vs Without Policy)

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

Tech Professional (Atlanta, GA)

Age: 33 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 11/20

Statement of Opinion:

  • I'm not affected by COVID-19, but funding research is always a positive move.

Wellbeing Over Time (With vs Without Policy)

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

Research Assistant (Denver, CO)

Age: 25 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • This is a great chance for advancing research in this area which can have long-term benefits.

Wellbeing Over Time (With vs Without Policy)

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

Retired Healthcare Administrator (Portland, OR)

Age: 65 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 13/20

Statement of Opinion:

  • Investing in research will hopefully lead to better post-COVID recovery strategies.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $40000000, High: $60000000)

Year 2: $52000000 (Low: $42000000, High: $62000000)

Year 3: $54000000 (Low: $44000000, High: $64000000)

Year 5: $58000000 (Low: $48000000, High: $68000000)

Year 10: $60000000 (Low: $50000000, High: $70000000)

Year 100: $65000000 (Low: $55000000, High: $75000000)

Key Considerations