Home > Research > Publications & Outputs > A real-time spatio-temporal syndromic surveilla...

Research

Links

Text available via DOI:

Keywords

View graph of relations

A real-time spatio-temporal syndromic surveillance system with application to small companion animals

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

A real-time spatio-temporal syndromic surveillance system with application to small companion animals. / Hale, Alison; Sánchez-Vizcaíno, Fernando; Rowlingson, Barry et al.
In: Scientific Reports, Vol. 9, 17738, 28.11.2019.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hale, A, Sánchez-Vizcaíno, F, Rowlingson, B, Radford, A, Giorgi, E, O'Brien, S & Diggle, P 2019, 'A real-time spatio-temporal syndromic surveillance system with application to small companion animals', Scientific Reports, vol. 9, 17738. https://doi.org/10.1038/s41598-019-53352-6

APA

Hale, A., Sánchez-Vizcaíno, F., Rowlingson, B., Radford, A., Giorgi, E., O'Brien, S., & Diggle, P. (2019). A real-time spatio-temporal syndromic surveillance system with application to small companion animals. Scientific Reports, 9, Article 17738. https://doi.org/10.1038/s41598-019-53352-6

Vancouver

Hale A, Sánchez-Vizcaíno F, Rowlingson B, Radford A, Giorgi E, O'Brien S et al. A real-time spatio-temporal syndromic surveillance system with application to small companion animals. Scientific Reports. 2019 Nov 28;9:17738. doi: 10.1038/s41598-019-53352-6

Author

Hale, Alison ; Sánchez-Vizcaíno, Fernando ; Rowlingson, Barry et al. / A real-time spatio-temporal syndromic surveillance system with application to small companion animals. In: Scientific Reports. 2019 ; Vol. 9.

Bibtex

@article{4526bd3671e14cd6b404b956425bcb93,
title = "A real-time spatio-temporal syndromic surveillance system with application to small companion animals",
abstract = "Lack of disease surveillance in small companion animals worldwide has contributed to a deficit in our ability to detect and respond to outbreaks. In this paper we describe the first real-time syndromic surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary premises for the early detection of disease outbreaks in small animals. We illustrate the system{\textquoteright}s performance using data relating to gastrointestinal disease in dogs and cats. The data consist of approximately one million electronic health records for dogs and cats, collected from 458 UK veterinary premises between March 2014 and 2016. For this illustration, the system predicts the relative reporting rate of gastrointestinal disease amongst all presentations, and updates its predictions as new data accrue. The system was able to detect simulated outbreaks of varying spatial geometry, extent and severity. The system is flexible: it generates outcomes that are easily interpretable; the user can set their own outbreak detection thresholds. The system provides the foundation for prompt detection and control of health threats in companion animals.",
keywords = "Digestive signs and symptoms, Disease prevention, Epidemiology, Scientific data, Statistics",
author = "Alison Hale and Fernando S{\'a}nchez-Vizca{\'i}no and Barry Rowlingson and Alan Radford and Emanuele Giorgi and Sarah O'Brien and Peter Diggle",
year = "2019",
month = nov,
day = "28",
doi = "10.1038/s41598-019-53352-6",
language = "English",
volume = "9",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - A real-time spatio-temporal syndromic surveillance system with application to small companion animals

AU - Hale, Alison

AU - Sánchez-Vizcaíno, Fernando

AU - Rowlingson, Barry

AU - Radford, Alan

AU - Giorgi, Emanuele

AU - O'Brien, Sarah

AU - Diggle, Peter

PY - 2019/11/28

Y1 - 2019/11/28

N2 - Lack of disease surveillance in small companion animals worldwide has contributed to a deficit in our ability to detect and respond to outbreaks. In this paper we describe the first real-time syndromic surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary premises for the early detection of disease outbreaks in small animals. We illustrate the system’s performance using data relating to gastrointestinal disease in dogs and cats. The data consist of approximately one million electronic health records for dogs and cats, collected from 458 UK veterinary premises between March 2014 and 2016. For this illustration, the system predicts the relative reporting rate of gastrointestinal disease amongst all presentations, and updates its predictions as new data accrue. The system was able to detect simulated outbreaks of varying spatial geometry, extent and severity. The system is flexible: it generates outcomes that are easily interpretable; the user can set their own outbreak detection thresholds. The system provides the foundation for prompt detection and control of health threats in companion animals.

AB - Lack of disease surveillance in small companion animals worldwide has contributed to a deficit in our ability to detect and respond to outbreaks. In this paper we describe the first real-time syndromic surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary premises for the early detection of disease outbreaks in small animals. We illustrate the system’s performance using data relating to gastrointestinal disease in dogs and cats. The data consist of approximately one million electronic health records for dogs and cats, collected from 458 UK veterinary premises between March 2014 and 2016. For this illustration, the system predicts the relative reporting rate of gastrointestinal disease amongst all presentations, and updates its predictions as new data accrue. The system was able to detect simulated outbreaks of varying spatial geometry, extent and severity. The system is flexible: it generates outcomes that are easily interpretable; the user can set their own outbreak detection thresholds. The system provides the foundation for prompt detection and control of health threats in companion animals.

KW - Digestive signs and symptoms

KW - Disease prevention

KW - Epidemiology

KW - Scientific data

KW - Statistics

U2 - 10.1038/s41598-019-53352-6

DO - 10.1038/s41598-019-53352-6

M3 - Journal article

VL - 9

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 17738

ER -