A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence-Supported Platform.

Background: The lack of availability of disability data has been identified as a major challenge hindering continuous disability equity monitoring. It is important to develop a platform that enables searching for disability data to expose systemic discrimination and social exclusion, which increase vulnerability to inequitable social conditions.

Objective: Our project aims to create an accessible and multilingual pilot disability website that structures and integrates data about people with disabilities and provides data for national and international disability advocacy communities.

The Potential of an Artificial Intelligence for Disability Advocacy: The WikiDisability Project.

Human rights monitoring for people with disabilities is in urgent need for disability data that is shared and available for local and international disability stakeholders (e.g., advocacy groups).

Preconsult interactive computer-assisted client assessment survey for common mental disorders in a community health centre: a randomized controlled trial.

Background: Access disparities for mental health care exist for vulnerable ethnocultural and immigrant groups. Community health centres that serve these groups could be supported further by interactive, computer-based, self-assessments.

Methods: An interactive computer-assisted client assessment survey (iCCAS) tool was developed for preconsult assessment of common mental disorders (using the Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder 7-item [GAD-7] scale, Primary Care Post-traumatic Stress Disorder [PTSD-PC] screen and CAGE [concern/cut-down, anger, guilt and eye-opener] questionnaire), with point-of-care reports.

The dynamics of the relationship between diabetes incidence and low income: longitudinal results from Canada's National Population Health Survey.

Unlabelled: This paper sheds light on the dynamic relationship between people's experiences of low income and the development of type 2 diabetes (T2DM) by moving beyond the static perspective provided by cross-sectional studies to a long-term approach informed by longitudinal analyses.

Methods: We analyzed data from the Canadian National Population Health Survey (NPHS) conducted by Statistics Canada from 1994 to 2007. The longitudinal sample is composed of 17,276 respondents (8046 males, 9230 females) 12 years of age or older.

Type 2 diabetes in vulnerable populations: community healthcare providers' perspectives on health service needs and policy implications.

Objectives: To identify a) ways of enhancing health services for vulnerable populations with type 2 diabetes, taking into account the social determinants of health; and b) health and social policy approaches to reducing the incidence of type 2 diabetes and improving its management.

Methods: Focus groups were held with 18 community healthcare providers at 3 community health centres in Toronto, Ontario.

Results: Community healthcare providers' perspectives were organized under 3 themes: a) the compounding effects of social factors on the health of people with diabetes; b) the need for responsive support at multiple levels; and c) barriers to change.

Diabetes prevalence and income: Results of the Canadian Community Health Survey.

Unlabelled: This paper contributes to a growing body of literature indicating the importance of income as a key socioeconomic status marker in accounting for the increased prevalence of type 2 diabetes (T2DM).

Methods: We analyzed data from the Canadian Community Health Survey cycle 3.1 conducted by Statistics Canada.

Simulation of the cumulative effects of chemical spills using a spatial-temporal dynamics analysis algorithm.

Accidents in urban areas involving chemical spills demands development of not only feasible emergency strategies, but also a consistent framework to protect the environment and prevent accidents. This can be possible only by a sound understanding of the environmental impact of spills and their potential long-term effects. Furthermore, the impact assessment of chemical spills can not be done disregarding the spatial-temporal pattern of previous exposures reciprocally influenced by both chemical and environmental properties.