scholarly journals Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams

2007 ◽  
pp. 79-90 ◽  
Author(s):  
Luís M. A. Bettencourt ◽  
Ruy M. Ribeiro ◽  
Gerardo Chowell ◽  
Timothy Lant ◽  
Carlos Castillo-Chavez
Keyword(s):  
Data Assimilation ◽  
Anomaly Detection ◽  
Real Time ◽  
Data Streams ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Epidemiology Data ◽  
Health Surveillance Data

scholarly journals Real Time Anomaly Detection in Massive Data Streams with ELK Stack

2019 ◽  
Vol 15 (6) ◽  
pp. 814-823
Author(s):  
Jakup Fondaj ◽  
Zirije Hasani
Keyword(s):  
Anomaly Detection ◽  
Real Time ◽  
Data Streams ◽  
Massive Data

scholarly journals A stastistical system for detecting Salmonella outbreaks in British livestock

2006 ◽  
Vol 134 (5) ◽  
pp. 952-960 ◽  
Author(s):  
R. KOSMIDER ◽  
L. KELLY ◽  
S. EVANS ◽  
G. GETTINBY
Keyword(s):  
Public Health ◽  
Early Detection ◽  
Detection System ◽  
Animal Health ◽  
Health Surveillance ◽  
Current Data ◽  
Surveillance Data ◽  
Data Types ◽  
Data Collection Process ◽  
Health Surveillance Data

Worldwide, early detection systems have been used in public health to aid the timely detection of increases in disease reporting that may be indicative of an outbreak. To date, their application to animal surveillance has been limited and statistical methods to analyse human health data have not been viewed as being applicable for animal health surveillance data. This issue was investigated by developing an early detection system for Salmonella disease in British livestock. We conclude that an early detection system, as for public health surveillance, can be an effective tool for enhanced surveillance. In order to implement this system in the future and extend it for other data types, we provide recommendations for improving the current data collection process. These recommendations will ensure that quality surveillance data are collected and used effectively to monitor disease in livestock populations.

scholarly journals Openness, Transparency and Equity in Public Health Surveillance Data Sharing

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Matthew Brack ◽  
Michael Edelstein ◽  
Asha Herten-Crabb ◽  
David R. Harper
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Health Surveillance Data
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