University of B.C. study warns wildfire smoke could make COVID-19 symptoms worse
University of B.C. study warns wildfire smoke could make COVID-19 symptoms worse
(Powell River Peak), Jiayun Yao, June 24th, 2020
University of B.C. study warns wildfire smoke could make COVID-19 symptoms worse
(Powell River Peak), Jiayun Yao, June 24th, 2020
This webinar-based training series takes place over four sessions:
Session 1 - Tuesday July 14 | Session 2 - Thursday July 16
Session 3 - Tuesday July 21 | Session 4 – Thursday July 23
Familiarity with R is an asset though not mandatory for enrolment.
Interstitial lung disease (ILD) is an umbrella term used for a large group of diseases that cause inflammation and scarring of the lungs. This scarring results in difficulties breathing and getting oxygen into the bloodstream.
The data access process is complex and requires meticulous attention to detail to ensure that all legal, privacy and security conditions are met and upheld. Population Data BC saves time and resources for data providers by providing:
Nothing is ever done with, or to, data managed at Population Data BC (PopData) without written approval from the data provider.
Data Stewards Working Group
Each public body which provides PopData with data for linkage has a representative on the Data Stewards Working Group (DSWG).
The objectives of the DSWG are to:
All usage of data is regulated by a Data Sharing Agreement between Population Data BC and you as the data provider. The Agreement forms the essential governance foundation for data access for approved research in the public interest, in compliance with The Freedom of Information and Protection of Privacy Act (FIPPA) and other pertinent legislation.
Data access has been approved for a research study which aims to better understand the occurrence of mesothelioma in Canada, with a focus on BC and Ontario.
Data used in the administration of public or private programs can be a powerful resource to guide evaluation and planning. Understanding different aspects of administrative data quality is critical for informed use of such data files for analyses.
The proliferation of electronic medical record (EMR) systems in healthcare settings has created an opportunity for these data to be reused for a variety of secondary purposes. Because EMR data are generated for clinical care and administrative functions, they may not be suitable for all intended secondary uses.
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