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Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics
The threat of emerging and re-emerging infectious diseases to global population health remains significantly enormous, and the pandemic preparedness capabilities necessary to confront such threats must be of greater potency. Artificial Intelligence (AI) offers new hope in not only effectively pre-em...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123557/ http://dx.doi.org/10.1007/978-3-030-35139-7_7 |
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author | Ganasegeran, Kurubaran Abdulrahman, Surajudeen Abiola |
author_facet | Ganasegeran, Kurubaran Abdulrahman, Surajudeen Abiola |
author_sort | Ganasegeran, Kurubaran |
collection | PubMed |
description | The threat of emerging and re-emerging infectious diseases to global population health remains significantly enormous, and the pandemic preparedness capabilities necessary to confront such threats must be of greater potency. Artificial Intelligence (AI) offers new hope in not only effectively pre-empting, preventing and combating the threats of infectious disease epidemics, but also facilitating the understanding of health-seeking behaviors and public emotions during epidemics. From a systems-thinking perspective, and in today’s world of seamless boundaries and global interconnectivity, AI offers enormous potential for public health practitioners and policy makers to revolutionize healthcare and population health through focussed, context-specific interventions that promote cost-savings on therapeutic care, expand access to health information and services, and enhance individual responsibility for their health and well-being. This chapter systematically appraises the dawn of AI technology towards empowering population health to combat the rise of infectious disease epidemics. |
format | Online Article Text |
id | pubmed-7123557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71235572020-04-06 Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics Ganasegeran, Kurubaran Abdulrahman, Surajudeen Abiola Human Behaviour Analysis Using Intelligent Systems Article The threat of emerging and re-emerging infectious diseases to global population health remains significantly enormous, and the pandemic preparedness capabilities necessary to confront such threats must be of greater potency. Artificial Intelligence (AI) offers new hope in not only effectively pre-empting, preventing and combating the threats of infectious disease epidemics, but also facilitating the understanding of health-seeking behaviors and public emotions during epidemics. From a systems-thinking perspective, and in today’s world of seamless boundaries and global interconnectivity, AI offers enormous potential for public health practitioners and policy makers to revolutionize healthcare and population health through focussed, context-specific interventions that promote cost-savings on therapeutic care, expand access to health information and services, and enhance individual responsibility for their health and well-being. This chapter systematically appraises the dawn of AI technology towards empowering population health to combat the rise of infectious disease epidemics. 2019-11-21 /pmc/articles/PMC7123557/ http://dx.doi.org/10.1007/978-3-030-35139-7_7 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ganasegeran, Kurubaran Abdulrahman, Surajudeen Abiola Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title | Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title_full | Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title_fullStr | Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title_full_unstemmed | Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title_short | Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics |
title_sort | artificial intelligence applications in tracking health behaviors during disease epidemics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123557/ http://dx.doi.org/10.1007/978-3-030-35139-7_7 |
work_keys_str_mv | AT ganasegerankurubaran artificialintelligenceapplicationsintrackinghealthbehaviorsduringdiseaseepidemics AT abdulrahmansurajudeenabiola artificialintelligenceapplicationsintrackinghealthbehaviorsduringdiseaseepidemics |