Immunization Timing Optimization

Immunization Timing Optimization is a methodological framework in public health research that systematically determines the most effective temporal scheduling of vaccine administrations to maximize immunogenicity, minimize adverse outcomes, and align with epidemiological, logistical, and developmental constraints specific to target populations.

50

Publications

2.4K

Citations

304

Authors

160

Institutions

Publications per year

2017–2026

29

Authors

304

  1. AP
    Alison P. Galvani

    Yale University, United States

    4 publications · 259 citations

    4

    h-index

  2. LM
    Laura Matrajt

    Fred Hutch Cancer Center, United States

    3 publications · 551 citations

    3

    h-index

  3. MC
    Meagan C. Fitzpatrick

    University of Maryland, Baltimore, United States

    3 publications · 213 citations

    3

    h-index

  4. TN
    Thomas N. Vilches

    York University, Canada

    2 publications · 199 citations

    2

    h-index

  5. MJ
    Matt J. Keeling

    University of Warwick, United Kingdom

    2 publications · 50 citations

    2

    h-index

1–5 of 304

Venues

  1. Vaccine

    7 publications · 281 citations

    7

    h-index

  2. PubMed

    Repository · 2 publications · 39 citations

    2

    h-index

  3. EBioMedicine

    2 publications · 64 citations

    2

    h-index

  4. PLoS Computational Biology

    2 publications · 85 citations

    2

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 73 citations

    2

    h-index

1–5