The article uses a conceptual framework to review empirical evidence and some 180 articles
related to the opportunities and threats of Big Data Analytics for international development …

Unusual clusters of disease must be detected rapidly for effective public health interventions
to be introduced. Over the past decade there has been a surge in interest in statistical …

Background The ability to detect disease outbreaks early is important in order to minimize
morbidity and mortality through timely implementation of disease prevention and control …

Syndromic surveillance refers to methods relying on detection of individual and population
health indicators that are discernible before confirmed diagnoses are made. In particular …

Text data such as online news and microblogs bear valuable insights regarding important
events and responses to such events. Events are inherently temporal, evolving over time …

Background Emergency department (ED) based syndromic surveillance systems identify
abnormally high visit rates that may be an early signal of a bioterrorist attack. For example …

Early disease outbreak detection systems typically monitor health care data for irregularities
by comparing the distribution of recent data against a baseline distribution. Determining the …

Modern biosurveillance is the monitoring of a wide range of prediagnostic and diagnostic
data for the purpose of enhancing the ability of the public health infrastructure to detect …

Public health agencies and other groups have invested considerable resources in
automated surveillance systems over the last decade. These systems generally follow …

We review the long-established rational subgrou** principle for determining an effective
sampling plan for process monitoring. We present some other general advice that has been …