Precision public health, the key for future outbreak management: A scoping review
Background Precision Public Health (PPH) is a newly emerging field in public health medicine. The application of various types of data allows PPH to deliver more tailored interventions to a specific population within a specific timeframe. However, the application of PPH possesses several challenges...
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my.um.eprints.471062024-11-22T06:58:20Z http://eprints.um.edu.my/47106/ Precision public health, the key for future outbreak management: A scoping review Rajendran, Ellappa Ghanthan Hairi, Farizah Mohd Supramaniam, Rama Krishna Mohd, Tengku Amatullah Madeehah R Medicine (General) Background Precision Public Health (PPH) is a newly emerging field in public health medicine. The application of various types of data allows PPH to deliver more tailored interventions to a specific population within a specific timeframe. However, the application of PPH possesses several challenges and limitations that need to be addressed.Objective We aim to provide evidence of the various use of PPH in outbreak management, the types of data that could be used in PPH application, and the limitations and barriers in the application of the PPH approach.Methods and analysis Articles were searched in PubMed, Web of Science, and Science Direct. Our selection of articles was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Scoping Review guidelines. The outcome of the evidence assessment was presented in narrative format instead of quantitative.Results A total of 27 articles were included in the scoping review. Most of the articles (74.1%) focused on PPH applications in performing disease surveillance and signal detection. Furthermore, the data type mostly used in the studies was surveillance (51.9%), environment (44.4), and Internet query data. Most of the articles emphasized data quality and availability (81.5%) as the main barriers in PPH applications followed by data integration and interoperability (29.6%).Conclusions PPH applications in outbreak management utilize a wide range of data sources and analytical techniques to enhance disease surveillance, investigation, modeling, and prediction. By leveraging these tools and approaches, PPH contributes to more effective and efficient outbreak management, ultimately reducing the burden of infectious diseases on populations. The limitation and challenges in the application of PPH approaches in outbreak management emphasize the need to strengthen the surveillance systems, promote data sharing and collaboration among relevant stakeholders, and standardize data collection methods while upholding privacy and ethical principles. SAGE Publications 2024 Article PeerReviewed Rajendran, Ellappa Ghanthan and Hairi, Farizah Mohd and Supramaniam, Rama Krishna and Mohd, Tengku Amatullah Madeehah (2024) Precision public health, the key for future outbreak management: A scoping review. Digital Health, 10. p. 20552076241256877. ISSN 2055-2076, DOI https://doi.org/10.1177/20552076241256877 <https://doi.org/10.1177/20552076241256877>. https://doi.org/10.1177/20552076241256877 10.1177/20552076241256877 |
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Background Precision Public Health (PPH) is a newly emerging field in public health medicine. The application of various types of data allows PPH to deliver more tailored interventions to a specific population within a specific timeframe. However, the application of PPH possesses several challenges and limitations that need to be addressed.Objective We aim to provide evidence of the various use of PPH in outbreak management, the types of data that could be used in PPH application, and the limitations and barriers in the application of the PPH approach.Methods and analysis Articles were searched in PubMed, Web of Science, and Science Direct. Our selection of articles was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for Scoping Review guidelines. The outcome of the evidence assessment was presented in narrative format instead of quantitative.Results A total of 27 articles were included in the scoping review. Most of the articles (74.1%) focused on PPH applications in performing disease surveillance and signal detection. Furthermore, the data type mostly used in the studies was surveillance (51.9%), environment (44.4), and Internet query data. Most of the articles emphasized data quality and availability (81.5%) as the main barriers in PPH applications followed by data integration and interoperability (29.6%).Conclusions PPH applications in outbreak management utilize a wide range of data sources and analytical techniques to enhance disease surveillance, investigation, modeling, and prediction. By leveraging these tools and approaches, PPH contributes to more effective and efficient outbreak management, ultimately reducing the burden of infectious diseases on populations. The limitation and challenges in the application of PPH approaches in outbreak management emphasize the need to strengthen the surveillance systems, promote data sharing and collaboration among relevant stakeholders, and standardize data collection methods while upholding privacy and ethical principles. |
format |
Article |
author |
Rajendran, Ellappa Ghanthan Hairi, Farizah Mohd Supramaniam, Rama Krishna Mohd, Tengku Amatullah Madeehah |
author_facet |
Rajendran, Ellappa Ghanthan Hairi, Farizah Mohd Supramaniam, Rama Krishna Mohd, Tengku Amatullah Madeehah |
author_sort |
Rajendran, Ellappa Ghanthan |
title |
Precision public health, the key for future outbreak management: A scoping review |
title_short |
Precision public health, the key for future outbreak management: A scoping review |
title_full |
Precision public health, the key for future outbreak management: A scoping review |
title_fullStr |
Precision public health, the key for future outbreak management: A scoping review |
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Precision public health, the key for future outbreak management: A scoping review |
title_sort |
precision public health, the key for future outbreak management: a scoping review |
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SAGE Publications |
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2024 |
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http://eprints.um.edu.my/47106/ https://doi.org/10.1177/20552076241256877 |
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