Design Choices for Automated Disease Surveillance in the Social Web.

Online J Public Health Inform

Department of Computer Science, Makerere University Uganda, College of Computing and Information Sciences.

Published: September 2018

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194101PMC
http://dx.doi.org/10.5210/ojphi.v10i2.9312DOI Listing

Publication Analysis

Top Keywords

disease surveillance
20
social web
16
design choices
8
automated disease
8
based social
8
disease
5
surveillance
5
choices automated
4
social
4
surveillance social
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!