This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1560) mHealth for Data Collection and Research (1196) Data Science (357) Demographics of Users, Social & Digital Divide (914) Equity Issues in Information Distribution (32) Respiratory Medicine (157) Information Seeking, Information Needs (561) Information Retrieval (348)

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

Authors of this article:

Diana Portela1, 2 Author Orcid Image ;   Alberto Freitas1, 2 Author Orcid Image ;   Elísio Costa2, 3 Author Orcid Image ;   Mattia Giovannini4, 5 Author Orcid Image ;   Jean Bousquet6, 7, 8 Author Orcid Image ;   João Almeida Fonseca1, 2 Author Orcid Image ;   Bernardo Sousa-Pinto1, 2 Author Orcid Image
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