Luke Mondor

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To compare the timeliness of nongovernmental and governmental communications of infectious disease outbreaks and evaluate trends for each over time, we investigated the time elapsed from the beginning of an outbreak to public reporting of the event. We found that governmental sources improved the timeliness of public reporting of infectious disease(More)
This paper reports work in progress to semantically annotate blog posts about vaccines to use in the Vaccine Attitude Surveillance using Semantic Analysis (VASSA) framework. The VASSA framework combines semantic web and natural language processing (NLP) tools and techniques to provide a coherent semantic layer across online social media for assessment and(More)
BACKGROUND weather predictions are a useful tool for informing public health planning and prevention strategies for non-injury health outcomes, but the association between winter weather warnings and fall-related injuries has not been assessed previously. OBJECTIVE to examine the association between fall-related injuries among older adults and(More)
real-time population health assessment and monitoring D. L. Buckeridge M. Izadi A. Shaban-Nejad L. Mondor C. Jauvin L. Dubé Y. Jang R. Tamblyn The fragmented nature of population health information is a barrier to public health practice. Despite repeated demands by policymakers, administrators, and practitioners to develop information systems that provide a(More)
Practitioners and researchers in health services and public health routinely estimate population health indicators from a range of data sources. These indicators are used in many settings to describe health status, monitor quality of care, and evaluate the effect of interventions. The data and knowledge necessary to calculate indicators, however, are(More)
This paper discusses the integration of an ontology with a natural language query engine to calculate and interpret epidemiological indicators for population health assessment. In this paper, we discuss the application of this approach to one type of possible query, which retrieves health determinants, causally associated with diabetes mellitus.
This is a progress report on our effort to design and development of a semantic backbone using an integrated ontological framework to support calculation, interpretation and querying population health indicators within the scope of the PopHR project. 1 OBJECTIVES AND SYSTEM DESCRIPTION The PopHR project (Buckeridge et al., 2012) aims to deliver an(More)
Existing population health indicators tend to be out-of-date, not fully available at local levels of geography, and not developed in a coherent/consistent manner, which hinders their use in public health. The PopHR platform aims to deliver an electronic repository that contains multiple aggregated clinical, administrative, and environmental data sources to(More)
In this paper, we describe our ongoing effort on the design and development of a knowledge-based system for monitoring and analyzing evidence-based population health indicators, with focus on indicators of chronic diseases related to obesity. The knowledge based system facilitates measuring the quality of obesity prevention programs and assists diagnostic(More)