| SKYAID to save 100,000 lives annually by 2010* | Urban + 911 | e.g. US | Urban w/o 911 | e.g. | India | |||
| - - - - - - - Sudden Cardiac Arrests (SCA) - - - - - - | ||||||||
| Population inside 24 mile circle [3] | 2,000,000 [1] | 2,000,000 [1] | ||||||
| Sudden Cardiac Arrests (SCA) | 800 [2] | Lives | 1,200 [13] | Lives | ||||
| Survival Rate [4] | % pop. | % SCA | Saved | Survival Rate [5] | % pop. | % SCA | Saved | |
| Situation 2000 | 6% | 100% | 100% | 48 | 1% | 100% | 100% | 12 |
| Skycar available to entire population (most w/o Skyaid Watch) | 25% | 90% | 80% | 160 | 21% | 95% | 90% | 227 |
| Skycar and Skyaid Watch subscribers | 65% | 10% [14] | 20% | 104 | 60% | 5% [6] | 10% | 72 |
| Additional lives saved by Skycar and Skycar+Skyaid Watch | 216 | 287 | ||||||
| Number of urban areas by 2010 | x by | 25 | x by | 60 [12] | ||||
| Total SCA lives saved for all urban areas | 5,400 | 17,208 | ||||||
| - - - - - - Heart Attacks and Strokes - - - - - - - - - - | ||||||||
| Population inside 140 mile circle [7] | 4,000,000 [8] | 4,000,000 | ||||||
| Stroke and Heart Attacks [9] | 6,000 | Lives | 7,200 | Lives | ||||
| Note: 1 year survival rate | Survival Rate | Saved | Survival Rate | Saved | ||||
| Survival rate in year 2000 | 75% | 100% | 4,500 | 50% [10] | 100% | 3,600 | ||
| Survival rate with future Skycar (Skyaid Watch not required) | 85% | 100% | 5,100 | 70% [11] | 90% | [13] | 4,536 | |
| Additional lives saved per urban area | 600 | 936 | ||||||
| Number of urban areas (same as above) | x by | 25 | x by | 60 [12] | ||||
| Total Heart Attack & Stroke lives saved for all urban areas | 15,000 | 56,160 | ||||||
| Notes, references, and assumptions: | Total annual lives saved = | 93,768* | ||||||
| [1] Assume an urban population of 2 million. May actually be as small as 0.2 million or as large as 50 million | ||||||||
| [2] SCA = Sudden Cardiac Attack rate: | ||||||||
| [3] Must get to SCA victim within 4 minutes, A Skycar flying @ 6 miles/min travels 24 miles | ||||||||
| [4] See chart @ http://www.skyaid.org/images/survive_SCA2.gif | ||||||||
| [5] Lack 9-1-1 and ambulance, while having excessive traffic and poor communications | ||||||||
| [6] Assume subscribers are more likely to have a SCA | ||||||||
| [7] Must get victim to critical care center within 2 hours to reverse the damage | ||||||||
| [8] Assume that large circle contains 2X as many people as the smaller circle | ||||||||
| [9] Assume 6,000/ 4 million for both. Stroke incidence rate in US is 190/100,000= 3,800/ 4 million | ||||||||
| [10] Lack of emergency medical care compared to US | ||||||||
| [11] Decreased survival rate in areas lacking 911 coverage | ||||||||
| [12] Assume that areas without 9-1-1 will have more Skyaid systems, as they have the most to gain | ||||||||
| [13] Assume that some victims or societies are unable to afford the medical care after the attack | ||||||||
| [14] Assume that people wearing Skyaid Watch are 2X more likely to be at risk of SCA | ||||||||
| This table does not include lives saved in road accidents, house fires, nor quality or length of life | ||||||||
| This table does not analyze case of Skyaid Watch only - early rollout phase | ||||||||
| ..\images\lives_spreadsheet.gif | here is a GIF image of this spreadsheet | |||||||
