Booster Dose Optimization

Booster Dose Optimization is a computational or mathematical framework designed to determine the optimal timing, dosage, and composition of booster immunizations by balancing immunological efficacy, population coverage, and logistical constraints within dynamic epidemiological contexts.

68

Publications

3.8K

Citations

1.4K

Authors

276

Institutions

Publications per year

2017–2026

30

Publications

68

1–5 of 68

Authors

1.4K

  1. AF
    Adam Finn

    University of Bristol, United Kingdom

    3 publications · 1.3K citations

    3

    h-index

  2. SA
    Shabir A. Madhi

    University of the Witwatersrand, South Africa

    2 publications · 1.2K citations

    2

    h-index

  3. CK
    Christoph Klade

    Intercell (Austria), Austria

    2 publications · 121 citations

    2

    h-index

  4. DT
    Daniela Toneatto

    University of Oxford, United Kingdom

    2 publications · 56 citations

    2

    h-index

  5. AK
    Astrid Kaltenboeck

    Intercell (Austria), Austria

    2 publications · 121 citations

    2

    h-index

1–5 of 1.4K

Venues

  1. Vaccine

    16 publications · 576 citations

    13

    h-index

  2. PubMed

    Repository · 7 publications · 159 citations

    7

    h-index

  3. Emerging infectious diseases

    EID · 3 publications · 254 citations

    3

    h-index

  4. Journal of Infection

    3 publications · 87 citations

    3

    h-index

  5. Human Vaccines & Immunotherapeutics

    HV&I · 2 publications · 23 citations

    2

    h-index

1–5