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      Computational Evolutionary Methodology for Knowledge Discovery and Forecasting in Epidemiology and Medicine

      research-article
      a , b , c
      , ,
      Aip Conference Proceedings
      American Institute of Physics
      WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE
      24–26 October 2007

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          Abstract

          Humanity is facing an increasing number of highly virulent and communicable diseases such as avian influenza. Researchers believe that avian influenza has potential to evolve into one of the deadliest pandemics. Combating these diseases requires in‐depth knowledge of their epidemiology. An effective methodology for discovering epidemiological knowledge is to utilize a descriptive, evolutionary, ecological model and use bio‐simulations to study and analyze it. These types of bio‐simulations fall under the category of computational evolutionary methods because the individual entities participating in the simulation are permitted to evolve in a natural manner by reacting to changes in the simulated ecosystem. This work describes the application of the aforementioned methodology to discover epidemiological knowledge about avian influenza using a novel eco‐modeling and bio‐simulation environment called SEARUMS. The mathematical principles underlying SEARUMS, its design, and the procedure for using SEARUMS are discussed. The bio‐simulations and multi‐faceted case studies conducted using SEARUMS elucidate its ability to pinpoint timelines, epicenters, and socio‐economic impacts of avian influenza. This knowledge is invaluable for proactive deployment of countermeasures in order to minimize negative socioeconomic impacts, combat the disease, and avert a pandemic.

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          Author and article information

          Contributors
          Role: Conference Editor
          Role: Conference Editor
          Role: Conference Editor
          Conference
          AIP Conf Proc
          AIP Conf Proc
          APCPCS
          Aip Conference Proceedings
          American Institute of Physics
          978-0-7354-0526-4
          0094-243X
          1551-7616
          08 May 2008
          : 1007
          : 1
          : 223-234
          Affiliations
          [a ]CSA Department, Miami University, Oxford, OH 45056, USA
          [b ]William Mason High School, Mason, OH 45040, USA
          [c ]Cybernetic Evolution Inc., Mason, OH 45040, USA
          IAENG Secretariat and Oxford University Computing Laboratory
          California State University
          University of Florida
          Article
          1.2937609
          10.1063/1.2937609
          7108769
          9a31b318-d99c-417d-8ee8-1e615e529337

          All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/ ).

          WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE
          San Francisco (California)
          24–26 October 2007
          Page count
          Pages: 12
          Categories
          Article

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