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Social and Behavioral Sciences Commons™
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- Visual Analytics (2)
- Causality (1)
- Climate (1)
- ClinicalConnect (1)
- Data Visualization (1)
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- EMR Integration (1)
- EMR Use (1)
- Economic growth (1)
- Electronic Medical Record (EMR) (1)
- Green Bin; Food Waste; Support; Waste Management; Waste Diversion; Composting; Theory of Planned Behaviour. (1)
- Hidden Markov model (1)
- Human-Data Interaction (1)
- Human-Information Interaction (1)
- Maturity Model (1)
- Natural Language Processing (1)
- Online Public Health Debates (1)
- Physician Experiences (1)
- Primary Health Care (1)
- Real-Time Twitter Analysis (1)
- Regime-switching dynamics (1)
- Regional Integration (1)
- Remote sensing (1)
- Renewable energy (1)
- Salt Lake City (1)
- South West Ontario (1)
- Stream Processing (1)
- Surface temperature (1)
- Thermal anisotropy (1)
- Urban (1)
- Vaccine Debate (1)
Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Regional Integration: Physician Perceptions On Electronic Medical Record Use And Impact In South West Ontario, Sadiq Raji
Electronic Thesis and Dissertation Repository
Regional initiatives in the health care context in Canada are typically organized and administered along geographic boundaries or operational units. Regional integration of Electronic Medical Records (EMR) has been continuing across Canadian provinces in recent years, yet the use and impact of regionally integrated EMRs are not routinely assessed and questions remain about their impact on and use in physicians’ practices. Are stated goals of simplifying connections and sharing of electronic health information collected and managed by many health services providers being met? What are physicians’ perspectives on the use and impact of regionally integrated EMR? In this thesis, I …
Making Sense Of Online Public Health Debates With Visual Analytics Systems, Anton Ninkov
Making Sense Of Online Public Health Debates With Visual Analytics Systems, Anton Ninkov
Electronic Thesis and Dissertation Repository
Online debates occur frequently and on a wide variety of topics. Particularly, online debates about various public health topics (e.g., vaccines, statins, cannabis, dieting plans) are prevalent in today’s society. These debates are important because of the real-world implications they can have on public health. Therefore, it is important for public health stakeholders (i.e., those with a vested interest in public health) and the general public to have the ability to make sense of these debates quickly and effectively. This dissertation investigates ways of enabling sense-making of these debates with the use of visual analytics systems (VASes). VASes are computational …
Understanding The Support For Municipal Green Bin Programs, Oluwatomilola Ladele
Understanding The Support For Municipal Green Bin Programs, Oluwatomilola Ladele
Electronic Thesis and Dissertation Repository
As food waste increases globally, many cities have implemented curbside collection of food waste (aka green bin programs) to divert food waste from landfills. However, not all municipalities in Ontario have green bin programs. A factor responsible for the adoption of green bin programs is the community support for the program. The study results are based on 407 completed surveys from randomly selected households in London, Ontario (a municipality without a green bin program) and Kitchener-Waterloo, Ontario (a municipality with a green bin program). Surveys were used to collect data to understand: i) the predictors of household green bin support …
Renewable-Energy Resources, Economic Growth And Their Causal Link, Yiyang Chen
Renewable-Energy Resources, Economic Growth And Their Causal Link, Yiyang Chen
Electronic Thesis and Dissertation Repository
This thesis examines the presence and strength of predictive causal relationship between re-newable energy prices and economic growth. We look for evidence by investigating the cases of Norway, New Zealand, and Canada’s two provinces of Alberta and Ontario. The usual vectorautoregressive model (VAR) and its various improved versions still assume constant parametersover time. We devise a Markov-switching VAR (MS-VAR) model in order to accommodate the observed time-dependent causal relation changes. Our proposed modelling approach is induced by the hidden Markov model methodologies in terms of an online parameter estimationthrough recursive filtering. The parameters of the MS-VAR model are governed by …
Airborne Observations Of Thermal Anisotropy From Urban Residential Neighbourhoods In Salt Lake City, Utah, Samantha J. Claessens
Airborne Observations Of Thermal Anisotropy From Urban Residential Neighbourhoods In Salt Lake City, Utah, Samantha J. Claessens
Electronic Thesis and Dissertation Repository
Urban surface temperatures are important variables in urban climatological processes. This thesis examines the directional variability of remotely sensed urban surface temperatures (thermal anisotropy or Λ) for three vegetated residential neighbourhoods in Salt Lake City, Utah, USA. Airborne thermal remote sensing using a thermal imager sampled the directional brightness temperature (DBT) at three times within a day for each site. Results indicate that temporal variability over a 20 – 30-minute flight was not negligible. Average DBT were then extracted from atmospherically corrected images and plotted on polar plots. For low density residential neighbourhoods Λ is increased with increasing tree-canopy coverage …
A Visual Analytics System For Making Sense Of Real-Time Twitter Streams, Amir Haghighatimaleki
A Visual Analytics System For Making Sense Of Real-Time Twitter Streams, Amir Haghighatimaleki
Electronic Thesis and Dissertation Repository
Through social media platforms, massive amounts of data are being produced. Twitter, as one such platform, enables users to post “tweets” on an unprecedented scale. Once analyzed by machine learning (ML) techniques and in aggregate, Twitter data can be an invaluable resource for gaining insight. However, when applied to real-time data streams, due to covariate shifts in the data (i.e., changes in the distributions of the inputs of ML algorithms), existing ML approaches result in different types of biases and provide uncertain outputs. This thesis describes a visual analytics system (i.e., a tool that combines data visualization, human-data interaction, and …