Visualization and analytics tools for infectious disease epidemiology
Lauren N. Carroll,Alan P. Au,Landon T. Detwiler,Tsung-chieh Fu,Ian Painter,Neil F. Abernethy +5 more
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TLDR
A systematic literature review focused on the landscape of infectious disease visualization tools for public health professionals, with a special emphasis on geographic information systems, molecular epidemiology, and social network analysis, identified several themes: consideration of users' needs, preferences, and computer literacy; integration of tools into routine workflow; complications associated with understanding and use of visualizations; and the role of user trust and organizational support in the adoption of these tools.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2014-10-01 and is currently open access. It has received 199 citations till now. The article focuses on the topics: Information visualization & Disparate system.read more
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Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation.
TL;DR: The aim of this article is to review public health surveillance systems and consider their current use to increase the efficiency and effectiveness of the public health system, the role of system stakeholders, the analysis and interpretation of surveillance data, approaches to system monitoring and evaluation, and opportunities for future advances.
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Using online social networks to track a pandemic: A systematic review.
Mohammed Ali Al-Garadi,Muhammad Sadiq Khan,Kasturi Dewi Varathan,Ghulam Mujtaba,Abdelkodose M. Al-Kabsi +4 more
TL;DR: OSN data contain significant information that can be used to track a pandemic, but it can offer complementary data that can work best when integrated with traditional data.
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An unsupervised machine learning model for discovering latent infectious diseases using social media data
TL;DR: The unsupervised machine learning model using user, textual, and temporal information in social media data, along with sentiment analysis, identifies latent infectious diseases in a given location quicker than when the disease is formalized by national public health institutes.
Journal ArticleDOI
Values, challenges and future directions of big data analytics in healthcare: A systematic review.
TL;DR: The study reveals that one of the main values created is the development of analytical techniques which provides personalized health services to users and supports human decision-making using automated algorithms, challenging the power issues in the doctor-patient relationship and creating new working conditions.
Journal ArticleDOI
Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018
Bruno Samways dos Santos,Maria Teresinha Arns Steiner,Amanda Trojan Fenerich,Rafael Henrique Palma Lima +3 more
TL;DR: An overview of the literature on DM and ML in the field of public health from 2009 to 2018 is provided and serves as a starting point for beginner and experienced researchers interested in this topic.
References
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