A review and discussion of prospective statistical surveillance in public health

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How researchers see this paper

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Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014, background): “Sonesson and Bock (2003) gave an excellent review of prospective public-health surveillance, but much work has been done since.”
Surveillance Strategies for Detecting Changepoint in Incidence Rate Based on Exponentially Weighted Moving Average Methods (2008, background): “Another approach is to use a fixed value of the probability of a false alarm, P(tA < τ) =∑∞ t=1 P(τ = t)P (tA < τ |τ = t); however, this requires an assumption for the distribution of τ , which is often assumed to be geometric (Sonesson and Bock 2003).”
Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes (2012, background): “Statistical approaches to continual surveillance of a rare event of interest are greatly needed in industrial, clinical, and epidemiological environments (cf. Sonesson and Bock 2003).”
The Use of Control Charts in Health-Care and Public-Health Surveillance (2006, methodology): “Sonesson and Bock (2003) also discussed the idea.”
A Space–Time Permutation Scan Statistic for Disease Outbreak Detection (2005, methodology): “Most analytical methods in use for the early detection of disease outbreaks are purely temporal in nature [18,19,20, 21,22].”