Data Completeness Monitoring

Data Completeness Monitoring is a systematic process in chronic disease registry management that evaluates the extent to which required data elements are present and accurately recorded within a dataset, distinguishing it from other data quality assessments by focusing specifically on the absence or presence of expected data entries.

28

Publications

1.2K

Citations

234

Authors

118

Institutions

Publications per year

2017–2026

18

Publications

28

1–5 of 28

Authors

234

  1. CM
    Catherine Maiteki‐Sebuguzi

    London School of Hygiene & Tropical Medicine, United Kingdom

    1 publications · 18 citations

    1

    h-index

  2. FC
    Flavien Coukan

    Imperial College London, United Kingdom

    1 publications · 21 citations

    1

    h-index

  3. GJ
    Gary J. Macfarlane

    University of Aberdeen, United Kingdom

    1 publications · 21 citations

    1

    h-index

  4. EL
    Eduardo Lucia Caputo

    Universidade Federal de Pelotas, Brazil

    1 publications · 187 citations

    1

    h-index

  5. TN
    Terence Ng

    National University of Singapore, Singapore

    1 publications · 49 citations

    1

    h-index

1–5 of 234

Venues

  1. 1

    h-index

  2. Geodetski vestnik

    1 publications · 21 citations

    1

    h-index

  3. Malaria Journal

    1 publications · 18 citations

    1

    h-index

  4. 1

    h-index

  5. Applied Sciences

    1 publications · 23 citations

    1

    h-index

1–5