Screening Algorithm Design
Screening Algorithm Design is a methodological framework that specifies the systematic sequence of diagnostic criteria, tests, and decision rules used to identify individuals with infectious diseases within asymptomatic or at-risk populations, distinguishing it from general diagnostic protocols by its focus on efficiency, scalability, and cost-effectiveness in large-scale screening programs.
300
Publications
13.2K
Citations
1.9K
Authors
777
Institutions
Publications per year
2017–2026
128
Parents
300
Jessica Lasky‐Su, Benjamin M. Neale, Barbara Franke et al. · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2008 · 390 citations · Full text
Life Sciences, Genetics, Psychiatry +17
Jerry A. Katzmann, Angela Dispenzieri, Robert A. Kyle et al. · Mayo Clinic Proceedings · 2006 · 215 citations
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Harvard University
Cambridge, United States
12 h-index
54 publications
2.8K citations
Stanford University
Stanford, United States
7 h-index
14 publications
442 citations
Case Western Reserve University
Cleveland, United States
7 h-index
16 publications
316 citations

Centers for Disease Control and Prevention
Atlanta, United States
7 h-index
17 publications
680 citations
University of California, San Francisco
San Francisco, United States
7 h-index
26 publications
1.2K citations
University of Nebraska–Lincoln
Lincoln, United States
6 h-index
6 publications
288 citations
University of South Carolina
Columbia, United States
6 h-index
9 publications
434 citations

Brigham and Women's Hospital
Boston, United States
6 h-index
17 publications
1.5K citations
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11 publications · 395 citations
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JID · 7 publications · 149 citations
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Repository · 6 publications · 159 citations
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5 publications · 120 citations
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CID · 5 publications · 344 citations
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