Scenario 10

Intervention Cost: 50% Decrease

Individual Support Tool’s Variables

  • Timeframe 1 Year
  • Vaccine Bivalent
  • Populations 200
  • Health System Budget $1,000 Per Vaccine
  • Intervention Cost $10,000 Annually

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Overall Results

Standing OrdersVaccine ChampionsFinancial IncentivesAFIXUCLA Vaccine Communication
VaccinatedItem Title HereItem Title HereItem Title HereItem Title HereItem Title Here
Cancer CasesItem Title HereItem Title HereItem Title HereItem Title HereItem Title Here
Cancer DeathsItem Title HereItem Title HereItem Title HereItem Title HereItem Title Here
Short-term Productivity Losses ($)Item Title HereItem Title HereItem Title HereItem Title HereItem Title Here

Costs Per Case

Select a state to see habitant morbi tristique senectus et netus et malesuada fames ac turpis.

Alabama
  • Value 1:14
  • Value 2:30
  • Value 3:47
Arizona
  • Value 1:80
  • Value 2:43
  • Value 3:98
Arkansas
  • Value 1:97
  • Value 2:63
  • Value 3:50
California
  • Value 1:85
  • Value 2:42
  • Value 3:16
Colorado
  • Value 1:19
  • Value 2:43
  • Value 3:28
Connecticut
  • Value 1:39
  • Value 2:70
  • Value 3:97
Delaware
  • Value 1:62
  • Value 2:83
  • Value 3:32
Florida
  • Value 1:48
  • Value 2:12
  • Value 3:19
Georgia
  • Value 1:57
  • Value 2:79
  • Value 3:15
Idaho
  • Value 1:42
  • Value 2:95
  • Value 3:38
Illinois
  • Value 1:79
  • Value 2:86
  • Value 3:35
Indiana
  • Value 1:2
  • Value 2:51
  • Value 3:50
Iowa
  • Value 1:75
  • Value 2:2
  • Value 3:36
Kansas
  • Value 1:72
  • Value 2:34
  • Value 3:58
Kentucky
  • Value 1:82
  • Value 2:47
  • Value 3:56
Louisiana
  • Value 1:25
  • Value 2:18
  • Value 3:53
Maine
  • Value 1:88
  • Value 2:54
  • Value 3:96
Maryland
  • Value 1:21
  • Value 2:46
  • Value 3:62
Massachusetts
  • Value 1:96
  • Value 2:52
  • Value 3:79
Michigan
  • Value 1:14
  • Value 2:63
  • Value 3:67
Minnesota
  • Value 1:28
  • Value 2:45
  • Value 3:7
Mississippi
  • Value 1:46
  • Value 2:85
  • Value 3:95
Missouri
  • Value 1:24
  • Value 2:74
  • Value 3:91
Montana
  • Value 1:14
  • Value 2:68
  • Value 3:17
Nebraska
  • Value 1:82
  • Value 2:31
  • Value 3:83
Nevada
  • Value 1:81
  • Value 2:44
  • Value 3:16
New Hampshire
  • Value 1:51
  • Value 2:14
  • Value 3:38
New Jersey
  • Value 1:64
  • Value 2:100
  • Value 3:61
New Mexico
  • Value 1:67
  • Value 2:100
  • Value 3:35
New York
  • Value 1:68
  • Value 2:34
  • Value 3:38
North Carolina
  • Value 1:10
  • Value 2:79
  • Value 3:41
North Dakota
  • Value 1:76
  • Value 2:58
  • Value 3:68
Ohio
  • Value 1:96
  • Value 2:98
  • Value 3:47
Oklahoma
  • Value 1:61
  • Value 2:27
  • Value 3:90
Oregon
  • Value 1:26
  • Value 2:74
  • Value 3:28
Pennsylvania
  • Value 1:29
  • Value 2:7
  • Value 3:71
Rhode Island
  • Value 1:94
  • Value 2:57
  • Value 3:97
South Carolina
  • Value 1:64
  • Value 2:67
  • Value 3:88
South Dakota
  • Value 1:14
  • Value 2:24
  • Value 3:85
Tennessee
  • Value 1:40
  • Value 2:81
  • Value 3:59
Texas
  • Value 1:44
  • Value 2:20
  • Value 3:1
Utah
  • Value 1:37
  • Value 2:76
  • Value 3:2
Vermont
  • Value 1:37
  • Value 2:56
  • Value 3:8
Virginia
  • Value 1:30
  • Value 2:55
  • Value 3:9
Washington
  • Value 1:44
  • Value 2:25
  • Value 3:88
West Virginia
  • Value 1:86
  • Value 2:38
  • Value 3:14
Wisconsin
  • Value 1:30
  • Value 2:94
  • Value 3:57
Wyoming
  • Value 1:93
  • Value 2:96
  • Value 3:23

Modifiable Parameters

Time Frame

This allows the user to see the effects in 1 year as compared to effects over the lifetime of vaccinated individuals. Since many cancer outcomes take place in later years, the main outcome that changes is vaccination.

Vaccinated Populations

This shows how the outcomes may alter if the number of vaccinated populations were to increase or decrease by 10% or 50%.

Health System Budget

This allows the user to implement budget constraints to see which interventions may be possible to implement within those budgets.

Intervention Costs

This alters the costs of the intervention to be 10% or 50% higher or lower to observe the effects of increasing/decreasing material costs and/or rising wages.