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Design Choices for Automated Disease Surveillance in the Social Web

The social web has emerged as a dominant information architecture accelerating technology innovation on an unprecedented scale. The utility of these developments to public health use cases like disease surveillance, information dissemination, outbreak prediction and so forth has been widely investig...

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Detalles Bibliográficos
Autores principales: Magumba, Mark Abraham, Nabende, Peter, Mwebaze, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194101/
https://www.ncbi.nlm.nih.gov/pubmed/30349632
http://dx.doi.org/10.5210/ojphi.v10i2.9312
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author Magumba, Mark Abraham
Nabende, Peter
Mwebaze, Ernest
author_facet Magumba, Mark Abraham
Nabende, Peter
Mwebaze, Ernest
author_sort Magumba, Mark Abraham
collection PubMed
description The social web has emerged as a dominant information architecture accelerating technology innovation on an unprecedented scale. The utility of these developments to public health use cases like disease surveillance, information dissemination, outbreak prediction and so forth has been widely investigated and variously demonstrated in work spanning several published experimental studies and deployed systems. In this paper we provide an overview of automated disease surveillance efforts based on the social web characterized by their different high level design choices regarding functional aspects like user participation and language parsing approaches. We briefly discuss the technical rationale and practical implications of these different choices in addition to the key limitations associated with these systems within the context of operable disease surveillance. We hope this can offer some technical guidance to multi-disciplinary teams on how best to implement, interpret and evaluate disease surveillance programs based on the social web.
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spelling pubmed-61941012018-10-22 Design Choices for Automated Disease Surveillance in the Social Web Magumba, Mark Abraham Nabende, Peter Mwebaze, Ernest Online J Public Health Inform Research Article The social web has emerged as a dominant information architecture accelerating technology innovation on an unprecedented scale. The utility of these developments to public health use cases like disease surveillance, information dissemination, outbreak prediction and so forth has been widely investigated and variously demonstrated in work spanning several published experimental studies and deployed systems. In this paper we provide an overview of automated disease surveillance efforts based on the social web characterized by their different high level design choices regarding functional aspects like user participation and language parsing approaches. We briefly discuss the technical rationale and practical implications of these different choices in addition to the key limitations associated with these systems within the context of operable disease surveillance. We hope this can offer some technical guidance to multi-disciplinary teams on how best to implement, interpret and evaluate disease surveillance programs based on the social web. University of Illinois at Chicago Library 2018-09-21 /pmc/articles/PMC6194101/ /pubmed/30349632 http://dx.doi.org/10.5210/ojphi.v10i2.9312 Text en This is an Open Access article. Authors own copyright of their articles appearing in the Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
spellingShingle Research Article
Magumba, Mark Abraham
Nabende, Peter
Mwebaze, Ernest
Design Choices for Automated Disease Surveillance in the Social Web
title Design Choices for Automated Disease Surveillance in the Social Web
title_full Design Choices for Automated Disease Surveillance in the Social Web
title_fullStr Design Choices for Automated Disease Surveillance in the Social Web
title_full_unstemmed Design Choices for Automated Disease Surveillance in the Social Web
title_short Design Choices for Automated Disease Surveillance in the Social Web
title_sort design choices for automated disease surveillance in the social web
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194101/
https://www.ncbi.nlm.nih.gov/pubmed/30349632
http://dx.doi.org/10.5210/ojphi.v10i2.9312
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