Policy Impact Analysis - 117/HR/9597

Bill Overview

Title: Wildlife Disease Surveillance for Pandemic Prevention Act of 2022

Description: This bill establishes programs, grants, and activities to support surveillance of and response to diseases that affect wildlife (i.e., any animal that is not livestock or poultry).

Sponsors: Rep. Porter, Katie [D-CA-45]

Target Audience

Population: People potentially affected by pandemics related to wildlife diseases

Estimated Size: 330000000

Reasoning

Simulated Interviews

Wildlife Biologist (South Dakota)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 2/20

Statement of Opinion:

  • The act will significantly enhance our ability to monitor wildlife health and respond swiftly to potential threats.
  • Having better resources for wildlife disease surveillance means we are better prepared for containing outbreaks.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Official (New York)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy is a crucial step for long-term pandemic prevention.
  • It allows us to gather important data on zoonotic diseases, which affects our preparation efforts.

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 8 5
Year 20 8 5

Ranch Owner (Texas)

Age: 52 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 4/20

Statement of Opinion:

  • While this doesn't directly impact my daily work, the results could affect wildlife management near our ranch.
  • It's another layer of protection, but I don't expect immediate changes to our routines.

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 6 5
Year 10 5 4
Year 20 5 4

Healthcare Worker (California)

Age: 29 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Increased surveillance might not change hospital policies immediately but provides valuable data for patient treatment.
  • Any effort towards reducing potential outbreaks is beneficial.

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 8 6
Year 20 7 5

Tour Guide (Alaska)

Age: 38 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Healthier wildlife populations mean fewer tour disruptions and safer interactions for tourists.
  • I'm hopeful this will sustain our business in the long run.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Activist (Oregon)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • This legislation aligns with my advocacy for better wildlife management.
  • I'm optimistic it will strengthen efforts to protect our ecosystems.

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 5
Year 10 8 5
Year 20 7 5

Retired School Teacher (Florida)

Age: 62 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope this means I'll see more healthy species around in my local wildlife reserves.
  • I feel a bit more secure knowing there are people watching out for disease.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (New Mexico)

Age: 27 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • It's good to know that there might be more data available for my research.
  • Surveillance efforts can indirectly influence the topics and scope of my academic work.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Illinois)

Age: 46 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • While the act is more focused on wildlife, any data that can help prevent disease outbreaks is good for business.
  • I'm interested to see if it indirectly affects pet health advice.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Georgia)

Age: 50 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy is reassuring, but it's not something that'll change my day-to-day life.
  • I feel it's a responsible measure to protect health globally.

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 7 7
Year 10 7 7
Year 20 7 7

Cost Estimates

Year 1: $250000000 (Low: $200000000, High: $300000000)

Year 2: $255000000 (Low: $205000000, High: $305000000)

Year 3: $260000000 (Low: $210000000, High: $310000000)

Year 5: $270000000 (Low: $220000000, High: $320000000)

Year 10: $300000000 (Low: $250000000, High: $350000000)

Year 100: $350000000 (Low: $280000000, High: $400000000)

Key Considerations