Tuberculosis Screening Algorithms

Tuberculosis Screening Algorithms is a systematic method designed to identify individuals with suspected tuberculosis through stepwise clinical and diagnostic criteria, distinguishing it from general screening approaches by its structured, evidence-based sequence of tests and risk assessments tailored to specific populations and epidemiological settings.

206

Publications

8.9K

Citations

1.5K

Authors

521

Institutions

Publications per year

2017–2026

97

Variants

Tb Screening Algorithms

Authors

1.5K

  1. AD
    Alison D. Grant

    London School of Hygiene & Tropical Medicine, United Kingdom

    7 publications · 278 citations

    7

    h-index

  2. SE
    Susan E. Dorman

    Johns Hopkins University, United States

    7 publications · 194 citations

    7

    h-index

  3. KF
    Katherine Fielding

    London School of Hygiene & Tropical Medicine, United Kingdom

    6 publications · 229 citations

    6

    h-index

  4. GM
    Gary Maartens

    University of Cape Town, South Africa

    6 publications · 187 citations

    6

    h-index

  5. SC
    Salome Charalambous

    Aurum Institute, South Africa

    5 publications · 201 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. PLoS ONE

    34 publications · 1.3K citations

    20

    h-index

  2. 11

    h-index

  3. PubMed

    Repository · 12 publications · 468 citations

    11

    h-index

  4. BMC Infectious Diseases

    9 publications · 229 citations

    9

    h-index

  5. Clinical Infectious Diseases

    CID · 7 publications · 508 citations

    7

    h-index

1–5