Broad Trends in Public Health and Epidemiology Informatics

Gayo Diallo; Georgeta Bordea; Cécilia Samieri; Section Editors for the IMIA Yearbook Section on Public Health and Epidemiology Informatics

doi:10.1055/s-0043-1768754

Yearbook of Medical Informatics, Table of Contents

CC BY-NC-ND 4.0 · Yearb Med Inform 2023; 32(01): 264-268
DOI: 10.1055/s-0043-1768754

Section 11: Public Health and Epidemiology Informatics

Synopsis

Broad Trends in Public Health and Epidemiology Informatics

Gayo Diallo

¹Univ. Bordeaux, Inserm, BPH, U1219, F-33000 Bordeaux, France

,

Georgeta Bordea

²Univ. La Rochelle, L3i, EA 2118, F-17000, La Rochelle, France

,

Cécilia Samieri

¹Univ. Bordeaux, Inserm, BPH, U1219, F-33000 Bordeaux, France

,

Section Editors for the IMIA Yearbook Section on Public Health and Epidemiology Informatics

› Author Affiliations

Abstract

Summary

Objectives: The objective of this study is to highlight innovative research and contemporary trends in the area of Public Health and Epidemiology Informatics (PHEI).

Methods: Following a similar approach to last year's edition, a meticulous search was conducted on PubMed (with keywords including topics related to Public Health, Epidemiological Surveillance and Medical Informatics), examining a total of 2,022 scientific publications on Public Health and Epidemiology Informatics (PHEI). The resulting references were thoroughly examined by the three section editors. Subsequently, 10 papers were chosen as potential candidates for the best paper award. These selected papers were then subjected to peer-review by six external reviewers, in addition to the section editors and two chief editors of the IMIA yearbook of medical informatics. Each paper underwent a total of five reviews.

Results: Out of the 539 references retrieved from PubMed, only two were deemed worthy of the best paper award, although four papers had the potential to qualify in total. The first best paper by pertains to a study about the need for a new annotation framework due to inadequacies in existing methods and resources. The second paper elucidates the use of Weibo data to monitor the health of Chinese urbanites. The correlation between air pollution and health sensing was measured via generalized additive models.

Conclusions: One of the primary findings of this edition is the dearth of studies identified for the PHEI section, which represents a significant decline compared to the previous edition. This is particularly surprising given that the post-COVID period should have led to an increased use of information and communication technology for public health issues.

Keywords

Public Health - Epidemiology Informatics - IMIA Yearbook 2023

Full Text

References

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