Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data - Top-Institutions - MDSpire

Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data

  • By

  • Oliver Eales

  • Saras M Windecker

  • James M McCaw

  • Freya M Shearer

  • June 6, 2025

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Centers for Disease Control and Prevention (CDC)
    Centers for Disease Control and Prevention (CDC)

    Atlanta, GA

    Key Differentiators

    • Infectious Disease Epidemiology
    • Public Health Surveillance
    • Statistical Modeling

  • #2

    London School of Hygiene & Tropical Medicine (LSHTM)
    London School of Hygiene & Tropical Medicine (LSHTM)

    London, UK

    Key Differentiators

    • Epidemiology
    • Infectious Disease Modeling
    • Global Health Surveillance

  • #3

    Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public Health

    Baltimore, MD

    Key Differentiators

    • Epidemiology
    • Biostatistics
    • Infectious Disease Surveillance

  • #4

    National University of Singapore (NUS) Saw Swee Hock School of Public Health
    National University of Singapore (NUS) Saw Swee Hock School of Public Health

    Singapore, Singapore

    Key Differentiators

    • Infectious Disease Epidemiology
    • Statistical Modeling
    • Tropical Disease Surveillance

  • #5

    University of Melbourne
    University of Melbourne

    Melbourne, VIC

    Key Differentiators

    • Epidemiology
    • Infectious Disease Modeling
    • Public Health Surveillance

Original Source(s)

Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data

  • by Oliver Eales, Saras M Windecker, James M McCaw, Freya M Shearer

  • June 6, 2025

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