Application of an automated surveillancedata–analysis system in a laboratory-based early-warning system for detection of an abortion outbreak in mares

Odoi, Agricola; Carter, Craig N.; Riley, Jeremy W.; Smith, Jon J.; Dwyer, Roberta M.

doi:10.2460/ajvr.70.2.247

Cited by 13 publications

(9 citation statements)

References 16 publications

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“…Retrospective analysis of the data on LAHVA indicated that respiratory symptoms in dogs occur approximately 10 days earlier than is the case for humans, and that detection of eye-inflammation in dogs would also have served as a sentinel for humans in a case of wastewater contamination (Maciejewski et al, 2007). Also retrospectively, Odoi (2009) showed that an outbreak of abortion in mares could have been detected 6 days earlier.…”

Section: Discussionmentioning

confidence: 99%

“…The website of the Gluck Equine Research Center (Gluck Equine Research Center) reported that the Veterinary Diagnostic Laboratory in the United Kingdom is developing a syndromic surveillance system in near real-time, also based on monitoring sample submissions. Table 2 provides additional examples of investigations of the potential of laboratory data on early disease detection (Kosmider et al, 2006;Odoi et al, 2009).…”

Section: Laboratory Datamentioning

confidence: 99%

“…Where spatial cluster analyses were performed in the systems reviewed here, the most commonly reported method was the scan-statistic (Odoi et al, 2009;Perez et al, 2009), which can be performed with the freelyavailable software SaTScan (Kulldorff, 1997;Kulldorff, 2006). Spatial cluster detection using algorithms available within the R statistical package was reported in the case of the Alberta Veterinary Surveillance Network (Checkley et al, 2009).…”

Section: Aberration Detection Algorithmsmentioning

confidence: 99%

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Veterinary syndromic surveillance: Current initiatives and potential for development

Dórea

Sánchez

Revie

2011

Preventive Veterinary Medicine

103

112

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This paper reviews recent progress in the development of syndromic surveillance systems for veterinary medicine. Peer-reviewed and grey literature were searched in order to identify surveillance systems that explicitly address outbreak detection based on systematic monitoring of animal population data, in any phase of implementation. The review found that developments in veterinary syndromic surveillance are focused not only on animal health, but also on the use of animals as sentinels for public health, representing a further step towards One Medicine. The main sources of information are clinical data from practitioners and laboratory data, but a number of other sources are being explored. Due to limitations inherent in the way data on animal health is collected, the development of veterinary syndromic surveillance initially focused on animal health data collection strategies, analyzing historical data for their potential to support systematic monitoring, or solving problems of data classification and integration. Systems based on passive notification or data transfers are now dealing with sustainability issues. Given the ongoing barriers in availability of data, diagnostic laboratories appear to provide the most readily available data sources for syndromic surveillance in animal health. As the bottlenecks around data source availability are overcome, the next challenge is consolidating data standards for data classification, promoting the integration of different animal health surveillance systems, and also the integration to public health surveillance. Moreover, the outputs of systems for systematic monitoring of animal health data must be directly connected to real-time decision support systems which are increasingly being used for disease management and control.

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Section: Discussionmentioning

confidence: 99%

Section: Laboratory Datamentioning

confidence: 99%

Section: Aberration Detection Algorithmsmentioning

confidence: 99%

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Veterinary syndromic surveillance: Current initiatives and potential for development

Dórea

Sánchez

Revie

2011

Preventive Veterinary Medicine

103

112

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“…Although there is no precise definition of the term, it broadly includes the use of the internet and computer technologies for collecting and processing health information, including outbreak reports and surveillance data [14]. The articles included in this category ( n = 18) [72, 74, 77, 80, 82–84, 88–90, 92–94, 96, 97, 99, 118, 119] comprised several tools for data collection, management and processing, which normally involved several diseases ( n = 12). Digital surveillance approaches were normally linked with governments, and with health and research institutions, and were beneficial for inter-institutional relationships and decision-making.…”

Section: Resultsmentioning

confidence: 99%

“…This was the most represented category in the methodological papers ( n = 27) [24, 26, 27, 29, 30, 48, 49, 53, 58, 77, 88–104]. The main spatial approach found was risk mapping ( n = 12), which consists in obtaining risk maps for the probability of environmental suitability for a specified vector or disease by spatial overlaying the relevant risk factors using statistical or other algorithms.…”

Section: Resultsmentioning

confidence: 99%

Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations

et al. 2014

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In this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.

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A systematic review of aberration detection algorithms used in public health surveillance

Yuan

Boston-Fisher

Luo

et al. 2019

Journal of Biomedical Informatics

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Application of an automated surveillancedata–analysis system in a laboratory-based early-warning system for detection of an abortion outbreak in mares

Cited by 13 publications

References 16 publications

Veterinary syndromic surveillance: Current initiatives and potential for development

Veterinary syndromic surveillance: Current initiatives and potential for development

Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations

A systematic review of aberration detection algorithms used in public health surveillance

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