Big Data in Epidemiology: Brave New World?

artificial intelligence biostatistics data analytics evidence based dentistry global burden of disease health surveys

Journal

Journal of dental research
ISSN: 1544-0591
Titre abrégé: J Dent Res
Pays: United States
ID NLM: 0354343

Informations de publication

Date de publication:
02 Oct 2024
Historique:
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 3 10 2024
Statut: aheadofprint

Résumé

Epidemiology is experiencing a significant shift toward the utilization of big data for health monitoring and decision-making. This article discusses the recent example of the World Health Organization (WHO) global oral health status report and regional summaries, which faced criticisms due to its reliance on big data from the Global Burden of Disease (GBD) study. We address the arguments for and against the use of big data in epidemiology and provide an assessment of the value and limitations of big data epidemiology. Moreover, we provide recommendations as to how the oral health community should reconcile traditional epidemiologic approaches with big data and advanced data analytics. This Perspective article highlights the challenges of the current epidemiologic landscape, the potential of big data, and the need for a balanced approach to data utilization in epidemiology.

Identifiants

pubmed: 39359106
doi: 10.1177/00220345241272034
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

220345241272034

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

R A Jordan (RA)

Institute of German Dentists, Cologne, Germany.

R K Celeste (RK)

Department of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.

E Bernabe (E)

Institute of Dentistry, Queen Mary University of London, London, UK.

F Schwendicke (F)

Conservative Dentistry and Periodontology, LMU Klinikum, Germany.

Classifications MeSH