Method for identifying chemical, biological and nuclear attacks or hazards
First Claim
1. A method for identifying the presence of an attack on an area by one or more nuclear, chemical and biological agents which includes:
- choosing one or more modeling locations within the area for modeling scenarios for one or more chemical, biological or nuclear agents;
performing simulations for the modeling locations to determine simulation data indicative of the symptomatic effects of one or more concentrations of one or more chemical, nuclear or biological agents at the modeling locations;
obtaining actual syndromic data comprising human signs and/or human symptoms from data sources within said area; and
comparing said actual syndromic data with simulation data to determine the existence or nonexistence of correlation therebetween.
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Abstract
A surveillance system and method for identifying chemical, biological or nuclear attacks or hazards occurring within a large area which combines data derived from a modeling and simulation operation with a surveillance data input. The modeling and simulation operation involves continuous periodic runs of multiple scenarios for various biological, chemical and nuclear agents in various concentrations for a given location. Using real time weather data for each location, a model is made in a database of the effect various concentrations of agents would have at that location and this simulated model is processed. The surveillance data input monitors actual human signs and symptoms for the modeled area. This data with real time weather data is compared with the results of modeling and simulation data for the area to determine if a pattern matching that for any modeled agent is present.
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Citations
19 Claims
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1. A method for identifying the presence of an attack on an area by one or more nuclear, chemical and biological agents which includes:
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choosing one or more modeling locations within the area for modeling scenarios for one or more chemical, biological or nuclear agents;
performing simulations for the modeling locations to determine simulation data indicative of the symptomatic effects of one or more concentrations of one or more chemical, nuclear or biological agents at the modeling locations;
obtaining actual syndromic data comprising human signs and/or human symptoms from data sources within said area; and
comparing said actual syndromic data with simulation data to determine the existence or nonexistence of correlation therebetween. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for identifying the presence of an attack on an area by one or more nuclear, chemical and biological agents which includes:
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choosing one or more modeling locations within the area for modeling scenarios for one or more chemical, biological or nuclear agents;
performing simulations for the modeling locations to determine simulation data indicative of the symptomatic effects of one or more concentrations of one or more chemical, nuclear or biological agents at the modeling locations;
obtaining actual syndromic data from data sources within said area; and
comparing said actual syndromic data with simulation data to determine the existence or nonexistence of correlation therebetween, wherein each periodic simulation includes determining the symptomatic effects of each concentration of said chemical, nuclear or biological agents and the time of onset of each symptomatic effect. - View Dependent Claims (17)
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18. A method for identifying the presence of an attack on an area by one or more nuclear, chemical and biological agents which includes:
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choosing one or more modeling locations within the area for modeling scenarios for one or more chemical, biological or nuclear agents;
performing simulations for the modeling locations to determine simulation data indicative of the symptomatic effects of one or more concentrations of one or more chemical, nuclear or biological agents at the modeling locations;
obtaining actual syndromic data from data sources within said area; and
comparing said actual syndromic data with simulation data to determine the existence or nonexistence of correlation therebetween, wherein each periodic simulation includes determining the probabilistic range of symptomatic effects for each concentration of chemical, nuclear or biological agents for a given population under given meteorological conditions. - View Dependent Claims (19)
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Specification