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

Publications

300

1–5 of 300

Authors

1.9K

  1. JM
    Joshua M. Tebbs

    University of South Carolina, United States

    6 publications · 288 citations

    6

    h-index

  2. AA
    A. A. F. Mahmoud

    Case Western Reserve University, United States

    6 publications · 104 citations

    6

    h-index

  3. CR
    Christopher R. Bilder

    University of Nebraska–Lincoln, United States

    6 publications · 288 citations

    6

    h-index

  4. CS
    Christopher S. McMahan

    Clemson University, United States

    5 publications · 223 citations

    5

    h-index

  5. KS
    Kenneth S. Warren

    Case Western Reserve University, United States

    4 publications · 72 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. PLoS ONE

    11 publications · 395 citations

    11

    h-index

  2. The Journal of Infectious Diseases

    JID · 7 publications · 149 citations

    7

    h-index

  3. PubMed

    Repository · 6 publications · 159 citations

    6

    h-index

  4. Sexually Transmitted Diseases

    5 publications · 120 citations

    5

    h-index

  5. Clinical Infectious Diseases

    CID · 5 publications · 344 citations

    5

    h-index

1–5