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Incidence estimation from sentinel surveillance data; a simulation study and application to data from the Belgian laboratory sentinel surveillance Universiteit Hasselt Universiteit Antwerpen
Background Inverse probability weighting (IPW) methods can be used to estimate the total number of cases from the sample collected through sentinel surveillance. Central to these methods are the inverse weights which can be derived in several ways and, in this case, represent the probability that laboratory (lab) sentinel surveillance detects a lab-confirmed case.MethodsWe compare different weights in a simulation study. Weights are obtained ...
Imported falciparum malaria in Europe: sentinel surveillance data from the European Network on Surveillance of Imported Infectious Diseases Instituut voor Tropische Geneeskunde
Feasibility of applying syndrome surveillance algorithms to animal health and production data to improve emerging animal disease surveillance Universiteit Hasselt
This paper presents the results of a feasibility study on applying syndrome surveillance algorithms to animal health and production data to enhance early detection of emerging animal diseases. The case of the introduction of bluetongue virus serotype 8 in Northern Europe in 2006 was investigated while looking at historical mortality data that collected on a daily bases by the rendering plant. Several candidate algorithms were identified from ...
Data protection and privacy under pressure : transatlantic tensions, EU surveillance, and big data Universiteit Gent
Influenza epidemic surveillance and prediction based on electronic health record data from an out-of-hours general practitioner cooperative: model development and validation on 2003–2015 data Universiteit Hasselt Universiteit Antwerpen
Background: Annual influenza epidemics significantly burden health care. Anticipating them allows for timely preparation. The Scientific Institute of Public Health in Belgium (WIV-ISP) monitors the incidence of influenza and influenza-like illnesses (ILIs) and reports on a weekly basis. General practitioners working in out-of-hour cooperatives (OOH GPCs) register diagnoses of ILIs in an instantly accessible electronic health record (EHR) system. ...
The era of pre-crime: How mass data surveillance and predictive policing intersect and interfere with privacy, data protection and due process rights in the EU KU Leuven
The thesis focuses on frameworks of mass data surveillance for predictive policing purposes and questions their lawfulness under EU primary law. Mass data surveillance refers to the general and untargeted processing of various types of personal data initially collected by the private sector, for safeguarding national and public security and combatting serious crime and terrorism. In the EU, such mass data surveillance frameworks engage at least ...
Pre-emptive big data surveillance and its (dis)empowering consequences: the case of predictive policing Vrije Universiteit Brussel
An abundance of literature has been published on the empowering and disempowering effects of Big Data for advertising, medicine, climate change, social sciences, and many more social domains from a legal perspective, a business perspective, and a critical data/surveillance studies perspective (Manovich 2011; Boydand Crawford 2012; Tene and Polonetsky 2012; Kitchin 2013; Mayer-Schönberger and Cukier 2013; Lyon 2014). However, not much attention ...
Malaria micro-stratification using routine surveillance data in Western Kenya Instituut voor Tropische Geneeskunde
BACKGROUND: There is an increasing need for finer spatial resolution data on malaria risk to provide micro-stratification to guide sub-national strategic plans. Here, spatial-statistical techniques are used to exploit routine data to depict sub-national heterogeneities in test positivity rate (TPR) for malaria among patients attending health facilities in Kenya.
METHODS: Routine data from health facilities (n = 1804) representing all ...