Open Access
Yearb Med Inform 2016; 25(01): 247-250
DOI: 10.15265/IY-2016-047
IMIA and Schattauer GmbH
Georg Thieme Verlag KG Stuttgart

Some Innovative Approaches for Public Health and Epidemiology Informatics

L. Toubiana
1   INSERM UMRS 1142 LIMICS, Université Pierre et Marie Curie - Paris, France
,
N. Griffon
1   INSERM UMRS 1142 LIMICS, Université Pierre et Marie Curie - Paris, France
2   Département d′information et d′informatique médicale, TIBS, LITIS EA 4108, Rouen University Hospital, Normandy, Rouen, France
,
Section Editors for the IMIA Yearbook Section on Public Health and Epidemiology Informatics› Author Affiliations
Further Information

Correspondence to:

Dr. Nicolas Griffon
Unité d’Informatique Médicale
CHU de Rouen
1 rue de Germont
76031, Rouen
France
Fax: +33 6 42 25 44 11   

Dr. Laurent Toubiana, PhD
INSERM UMRS 1142 “LIMICS”
15, rue de l’École de Médecine
75006 Paris
France
Phone: +33 1 44 27 91 97   

Publication History

10 November 2016

Publication Date:
06 March 2018 (online)

 

Summary

Objectives: Summarize excellent current research published in 2015 in the field of Public Health and Epidemiology Informatics.

Methods: The complete 2015 literature concerning public health and epidemiology informatics has been searched in PubMed and Web of Science, and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to allow the editorial team an enlightened selection of the best papers.

Results: Among the 1,272 references retrieved from PubMed and Web of Science, three were finally selected as best papers. The first one presents a language agnostic approach for epidemic event detection in news articles. The second paper describes a system using big health data gathered by a statewide system to forecast emergency department visits. The last paper proposes a rather original approach that uses machine learning to solve the old issue of outbreak detection and prediction.

Conclusions: The increasing availability of data, now directly from health systems, will probably lead to a boom in public health surveillance systems and in large-scale epidemiologic studies.


 



Correspondence to:

Dr. Nicolas Griffon
Unité d’Informatique Médicale
CHU de Rouen
1 rue de Germont
76031, Rouen
France
Fax: +33 6 42 25 44 11   

Dr. Laurent Toubiana, PhD
INSERM UMRS 1142 “LIMICS”
15, rue de l’École de Médecine
75006 Paris
France
Phone: +33 1 44 27 91 97