Temporal Trend Decomposition

Temporal Trend Decomposition is a statistical method that separates an epidemic time series into systematic temporal components—trend, seasonality, and residual variation—to isolate underlying patterns in disease incidence over time.

100

Publications

3.3K

Citations

425

Authors

243

Institutions

Publications per year

2017–2026

55

Authors

425

  1. LZ
    Lijun Zhou

    Sichuan Center for Disease Control and Prevention, China

    2 publications · 62 citations

    2

    h-index

  2. RA
    Ricardo Alexandre Arcêncio

    Universidade de São Paulo, Brazil

    2 publications · 42 citations

    2

    h-index

  3. TZ
    Tao Zhang

    Sichuan University, China

    2 publications · 62 citations

    2

    h-index

  4. FH
    Fengsu Hou

    Shenzhen KangNing Hospital, China

    2 publications · 62 citations

    2

    h-index

  5. HY
    Hakan Yilmazkuday

    Florida International University, United States

    2 publications · 106 citations

    2

    h-index

1–5 of 425

Venues

  1. PLoS ONE

    5 publications · 120 citations

    5

    h-index

  2. BMC Public Health

    4 publications · 111 citations

    4

    h-index

  3. Epidemiology and Infection

    4 publications · 79 citations

    4

    h-index

  4. 3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 68 citations

    3

    h-index

1–5