Nontraditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges - Top-Institutions - MDSpire

Nontraditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges

  • By

  • Mattia Mazzoli

  • Irma Varela-Lasheras

  • Sónia Namorado

  • Constantino Pereira Caetano

  • Andreia Leite

  • Lisa Hermans

  • Niel Hens

  • Polen Türkmen

  • Kyriaki Kalimeri

  • Leo Ferres

  • Ciro Cattuto

  • Daniela Paolotti

  • Stefaan Verhulst

  • April 29, 2026

  • 0 min

Share

Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Public Health
    • Epidemiology
    • Data Science
    • Infectious Disease Modeling

  • #2

    Harvard T.H. Chan School of Public Health
    Harvard T.H. Chan School of Public Health

    Boston, MA

    Key Differentiators

    • Public Health
    • Epidemiology
    • Health Data Science

  • #3

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

    Atlanta, GA

    Key Differentiators

    • Public Health Surveillance
    • Epidemiology
    • Health Informatics

  • #4

    University of Oxford
    University of Oxford

    Oxford, UK

    Key Differentiators

    • Epidemiology
    • Data Science
    • Global Health

  • #5

    London School of Hygiene & Tropical Medicine
    London School of Hygiene & Tropical Medicine

    London, UK

    Key Differentiators

    • Public Health
    • Epidemiology
    • Digital Health

Original Source(s)

Nontraditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges

  • by Mattia Mazzoli, Irma Varela-Lasheras, Sónia Namorado, Constantino Pereira Caetano, Andreia Leite, Lisa Hermans, Niel Hens, Polen Türkmen, Kyriaki Kalimeri, Leo Ferres, Ciro Cattuto, Daniela Paolotti, Stefaan Verhulst

  • April 29, 2026

Related Content

Explainable machine learning-based mortality risk stratification for older adults with COVID-19: pinpointing core immunological biomarkers and revealing dose-threshold effects

Acute liver failure and secondary TMA-like phenomenon following SARS-CoV-2 and Mycoplasma pneumoniae co-detection in a child: a case report

COVID-19, Vaccines, and Retinal Vascular Disease

A global systematic review of 173 studies found differing associations between COVID-19 infection and vaccination and retinal vascular events, with retinal artery occlusion more common after infection and retinal vein occlusion more common after vaccination.