Space-time surveillance of emerging infectious disease
Emerging diseases are an increasingly important public health problem. This research investigates space-time disease surveillance for emerging infectious diseases. A system was developed in Sri Lanka monitoring clinical diagnoses in cattle, poultry and buffalo. Veterinarians submitted surveys using...
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ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-36292017-07-11T06:00:53Z Space-time surveillance of emerging infectious disease Robertson, Colin John Nelson, Trisalyn infectious diseases Sri Lanka leptospirosis Emerging diseases are an increasingly important public health problem. This research investigates space-time disease surveillance for emerging infectious diseases. A system was developed in Sri Lanka monitoring clinical diagnoses in cattle, poultry and buffalo. Veterinarians submitted surveys using mobile phones and GPS. This surveillance system proved to be both feasible and acceptable and provided timely information on animal health patterns in Sri Lanka. A critical review of software and methods for space-time disease surveillance provides guidance on the selection and implementation of appropriate analytic methods for surveillance data. For the data collected in this research, a hidden Markov model is developed which estimates region-specific prevalence estimates after controlling for sentinel-level factors. The use of cluster detection methods in surveillance research is demonstrated using data from an outbreak of suspected leptospirosis in Sri Lanka in 2005-2009. Graduate 2011-10-19T15:22:50Z 2011-10-19T15:22:50Z 2010 2011-10-19 Thesis http://hdl.handle.net/1828/3629 English en Available to the World Wide Web application/pdf |
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English en |
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infectious diseases Sri Lanka leptospirosis |
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infectious diseases Sri Lanka leptospirosis Robertson, Colin John Space-time surveillance of emerging infectious disease |
description |
Emerging diseases are an increasingly important public health problem. This research investigates space-time disease surveillance for emerging infectious diseases. A system was developed in Sri Lanka monitoring clinical diagnoses in cattle, poultry and buffalo. Veterinarians submitted surveys using mobile phones and GPS. This surveillance system proved to be both feasible and acceptable and provided timely information on animal health patterns in Sri Lanka. A critical review of software and methods for space-time disease surveillance provides guidance on the selection and implementation of appropriate analytic methods for surveillance data. For the data collected in this research, a hidden Markov model is developed which estimates region-specific prevalence estimates after controlling for sentinel-level factors. The use of cluster detection methods in surveillance research is demonstrated using data from an outbreak of suspected leptospirosis in Sri Lanka in 2005-2009. === Graduate |
author2 |
Nelson, Trisalyn |
author_facet |
Nelson, Trisalyn Robertson, Colin John |
author |
Robertson, Colin John |
author_sort |
Robertson, Colin John |
title |
Space-time surveillance of emerging infectious disease |
title_short |
Space-time surveillance of emerging infectious disease |
title_full |
Space-time surveillance of emerging infectious disease |
title_fullStr |
Space-time surveillance of emerging infectious disease |
title_full_unstemmed |
Space-time surveillance of emerging infectious disease |
title_sort |
space-time surveillance of emerging infectious disease |
publishDate |
2011 |
url |
http://hdl.handle.net/1828/3629 |
work_keys_str_mv |
AT robertsoncolinjohn spacetimesurveillanceofemerginginfectiousdisease |
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1718495819380817920 |