Surveillance is critical for improving population health. Public health surveillance systems generate information that drives action, and the data must be of sufficient quality and with a resolution and timeliness that matches objectives. In the context of scientific advances in public health surveillance, changing health care and public health environments, and rapidly evolving technologies, the aim of this article is to review public health surveillance systems. We 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 in terms of increased scientific rigor, outcomes-focused research, and health informatics.

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation.

Using online social networks to track a pandemic: A systematic review.

An unsupervised machine learning model for discovering latent infectious diseases using social media data

Values, challenges and future directions of big data analytics in healthcare: A systematic review.

Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018

Visualization and analytics tools for infectious disease epidemiology

Investigation of infectious disease cases requires support from protocols, distributed and cooperative work, and information systems. We used form and protocol reviews together with qualitative research to study public health work practices, data requirements, and information needs. We found that the forms and protocols did not fully align, and that current information systems were limited in their ability support data analysis. We propose that better alignment between protocols, work practices, and system functionality such as integrated information visualization will improve the disease investigation process.

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Tsung-chieh Fu

Papers

Visualization and analytics tools for infectious disease epidemiology

Assessing the Work Practices and Information Needs of Disease Investigators