Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51804, first published .
Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations

Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations

Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations

Diana Portela   1, 2 , MD ;   Alberto Freitas   1, 2 , PhD ;   Elísio Costa   2, 3 , PhD ;   Mattia Giovannini   4, 5 , MD ;   Jean Bousquet   6, 7, 8 , PhD ;   João Almeida Fonseca   1, 2 , MD, PhD ;   Bernardo Sousa-Pinto   1, 2 , PhD

1 Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal

2 Center for Health Technologies and Services Research, Health Research Network, University of Porto, Porto, Portugal

3 Research Unit on Applied Molecular Biosciences, Faculty of Pharmacy, University of Porto, Porto, Portugal

4 Allergy Unit, Department of Pediatrics, Meyer Children’s Hospital, Istituto di Ricovero e Cura a Carattere Scientifico, Florence, Italy

5 Department of Health Sciences, University of Florence, Florence, Italy

6 Institute of Allergology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany

7 Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany

8 MASK-air, Montpellier, France

Corresponding Author:

  • Bernardo Sousa-Pinto, PhD
  • Department of Community Medicine, Information and Health Decision Sciences
  • Faculty of Medicine
  • University of Porto
  • R. Dr. Plácido da Costa
  • Porto 4200-450
  • Portugal
  • Phone: 351 22 551 3622
  • Email: bernardosousapinto@protonmail.com