Review of methods for space–time disease surveillance
- 20 February 2010
- journal article
- research article
- Published by Elsevier in Spatial and Spatio-temporal Epidemiology
- Vol. 1 (2-3), 105-116
- https://doi.org/10.1016/j.sste.2009.12.001
Abstract
No abstract availableKeywords
This publication has 80 references indexed in Scilit:
- Disease surveillance using a hidden Markov modelBMC Medical Informatics and Decision Making, 2009
- Use of Space–Time Models to Investigate the Stability of Patterns of DiseaseEnvironmental Health Perspectives, 2008
- Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortalityStatistical Methods in Medical Research, 2008
- A flexibly shaped space-time scan statistic for disease outbreak detection and monitoringInternational Journal of Health Geographics, 2008
- AEGIS: A Robust and Scalable Real-time Public Health Surveillance SystemJournal of the American Medical Informatics Association, 2007
- In search of induction and latency periods: Space-time interaction accounting for residential mobility, risk factors and covariatesInternational Journal of Health Geographics, 2007
- A Space–Time Permutation Scan Statistic for Disease Outbreak DetectionPLoS Medicine, 2005
- Modelling disease outbreaks in realistic urban social networksNature, 2004
- The Emerging Science of Very Early Detection of Disease OutbreaksJournal of Public Health Management & Practice, 2001
- A Mark 1 Geographical Analysis Machine for the automated analysis of point data setsInternational Journal of Geographical Information Science, 1987