Infectious diseases investment decision evaluation algorithm: A quantitative algorithm for prioritization of naturally occurring infectious disease threats to the US military

被引:20
作者
Burnette, W. Neal [1 ]
Hoke, Charles H., Jr. [2 ]
Scovill, John [3 ]
Clark, Kathryn [4 ]
Abrams, Jerry [5 ]
Kitchen, Lynn W. [6 ]
Hanson, Kevin [4 ]
Palys, Thomas J. [6 ]
Vaughn, David W.
机构
[1] Mol Pharmaceut Corp, Westlake Village, CA 91362 USA
[2] USA Med Mat Dev Act, Ft Detrick, MD 21702 USA
[3] Temple Univ, Dept Chem, Philadelphia, PA 19122 USA
[4] Armed Forces Med Intelligence Ctr, Ft Detrick, MD 21702 USA
[5] Ctr Creat Leadership, Greensboro, NC 27438 USA
[6] USA Med Res & Mat Command, Mil Infect Dis, Ft Detrick, MD 21702 USA
关键词
D O I
10.7205/MILMED.173.2.174
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Identification of the most significant infectious disease threats to deployed U.S. military forces is important for developing and maintaining an appropriate countermeasure research and development portfolio. We describe a quantitative algorithmic method (the Infectious Diseases Investment Decision Evaluation Algorithm) that uses Armed Forces Medical Intelligence Center information to determine which naturally occurring pathogens pose the most substantial threat to U.S. deployed forces in the absence of specific mitigating countermeasures. The Infectious Diseases Investment Decision Evaluation Algorithm scores the relative importance of various diseases by taking into account both their severity and the likelihood of infection on a country-by-country basis. In such an analysis, the top three endemic disease threats to U.S. deployed forces are malaria, bacteria-caused diarrhea, and dengue fever.
引用
收藏
页码:174 / 181
页数:8
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