Seasonality Detection

Seasonality Detection is a time series analysis method that identifies recurring, periodic patterns in temporal disease trends by distinguishing systematic seasonal fluctuations from other sources of variation such as trends, cycles, or noise.

43

Publications

2.7K

Citations

160

Authors

93

Institutions

Publications per year

2017–2026

11

Authors

160

  1. EN
    Elena N. Naumova

    Tufts University, United States

    3 publications · 315 citations

    3

    h-index

  2. OM
    Osvaldo Marrero

    Villanova University, United States

    2 publications · 55 citations

    2

    h-index

  3. SD
    Stephen D. Walter

    McMaster University, Canada

    2 publications · 238 citations

    2

    h-index

  4. DM
    David Machin

    National Cancer Centre Singapore, Singapore

    2 publications · 111 citations

    2

    h-index

  5. AP
    A Pakula

    University of Toronto, Canada

    1 publications · 101 citations

    1

    h-index

1–5 of 160

Venues

  1. Journal of Epidemiology & Community Health

    4 publications · 778 citations

    4

    h-index

  2. 2

    h-index

  3. Investigative Ophthalmology & Visual Science

    IOVS · 1 publications · 34 citations

    1

    h-index

  4. British Journal of Cancer

    BJC · 1 publications · 38 citations

    1

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 1 publications · 43 citations

    1

    h-index

1–5