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Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology.

08:00 EDT 1st August 2019 | BioPortfolio

Summary of "Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology."

To provide an oveiview of the current application of artificial intelligence (AI) in the field of public health and epidemiology, with a special focus on antimicrobial resistance and the impact of climate change in disease epidemiology. Both topics are of vital importance and were included in the "Ten threats to global health in 2019" report published by the World Health Organization.

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Journal Details

This article was published in the following journal.

Name: Yearbook of medical informatics
ISSN: 2364-0502
Pages: 224-231

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Medical and Biotech [MESH] Definitions

The systematic application of information and computer sciences to public health practice, research, and learning.

The ongoing, systematic collection, analysis, and interpretation of health-related data with the purpose of preventing or controlling disease or injury, or of identifying unusual events of public health importance, followed by the dissemination and use of information for public health action. (From Am J Prev Med 2011;41(6):636)

Individuals enrolled in a school of PUBLIC HEALTH or a formal educational program in public health.

The study and implementation of techniques and methods for designing computer systems to perform functions normally associated with human intelligence, such as understanding language, learning, reasoning, problem solving, etc.

A field of study that examines the organization, financing, and delivery of public health services within communities, and the impact of these services on public health.

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