Baseline Trend Estimation

Baseline Trend Estimation is a statistical methodology used in epidemic curve analysis that, as a singular concept, belongs to the class of infectious disease surveillance techniques, specifically distinguished by its focus on modeling the expected background level of disease incidence in the absence of an outbreak to enable the detection of anomalous elevations in case counts.

37

Publications

2.5K

Citations

146

Authors

89

Institutions

Publications per year

2017–2026

14

Authors

146

  1. RM
    Rumen Manolov

    Universitat de Barcelona, Spain

    3 publications · 126 citations

    3

    h-index

  2. DF
    Daniel F. Brossart

    Texas A&M University, United States

    2 publications · 231 citations

    2

    h-index

  3. SB
    Stephen B. Soumerai

    Harvard University, United States

    2 publications · 208 citations

    2

    h-index

  4. PH
    Paul H. Garthwaite

    The Open University, United Kingdom

    2 publications · 214 citations

    2

    h-index

  5. AS
    Antonio Solanas

    Universitat de Barcelona, Spain

    2 publications · 80 citations

    2

    h-index

1–5 of 146

Venues

  1. Behavior Modification

    3 publications · 385 citations

    3

    h-index

  2. Cogent Psychology

    2 publications · 222 citations

    2

    h-index

  3. School Psychology Quarterly

    SPQ · 2 publications · 157 citations

    2

    h-index

  4. Influenza and Other Respiratory Viruses

    1 publications · 25 citations

    1

    h-index

  5. Journal of Clinical Epidemiology

    1 publications · 103 citations

    1

    h-index

1–5