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Some Innovative Approaches for Public Health and Epidemiology Informatics.
1Dr. Laurent Toubiana, PhD, INSERM UMRS 1142 "LIMICS", 15, rue de l'École de Médecine, 75006 Paris, France, Tel: +33 1 44 27 91 97,
Yearbook of Medical Informatics
|November 11, 2016
Summary
This review highlights three key 2015 papers in public health and epidemiology informatics. These studies showcase advanced methods for epidemic detection, emergency visit forecasting, and outbreak prediction using big data.
Area of Science:
- Public Health Informatics
- Epidemiology Informatics
- Health Data Science
Background:
- The field of public health and epidemiology informatics is rapidly evolving.
- 2015 saw significant advancements in leveraging data for public health surveillance.
Purpose of the Study:
- To identify and summarize the best research papers published in 2015 in public health and epidemiology informatics.
- To highlight innovative approaches in disease detection, prediction, and health system analysis.
Main Methods:
- A comprehensive literature search was conducted in PubMed and Web of Science for 2015 publications.
- Papers were initially selected by editors and then peer-reviewed by external experts to identify top research.
Main Results:
- Three outstanding papers were selected from 1,272 retrieved references.
- Selected research includes a language-agnostic approach for epidemic event detection in news, a big data system for forecasting emergency department visits, and machine learning for outbreak detection and prediction.
Conclusions:
- The growing availability of health system data is expected to drive advancements in public health surveillance.
- Large-scale epidemiologic studies will likely benefit from these data-driven approaches.
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