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Tom Wong

Researcher at Health Canada

Publications -  156
Citations -  5941

Tom Wong is an academic researcher from Health Canada. The author has contributed to research in topics: Syphilis & Population. The author has an hindex of 35, co-authored 150 publications receiving 5560 citations. Previous affiliations of Tom Wong include Harvard University & Public Health Agency of Canada.

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Building on the Resilience of Aboriginal People in Risk Reduction Initiatives Targeting Sexually Transmitted Infections and Blood-Borne Viruses: The Aboriginal Community Resilience to AIDS (ACRA)

TL;DR: This project will provide insights into the role of resilience and its impact on the health and well-being of Aboriginal youth, especially as it relates to sexual and injecting behaviour, and identify strategies related to resilience that can be incorporated into public health and clinical practice.
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Strategies to Control Community-Associated Antimicrobial Resistance among Enteric Bacteria and Methicillin-Resistant Staphylococcus aureus in Canada – executive Summary

TL;DR: A formal, comprehensive review of control strategies and interventions available to reduce both the development of antimicrobial-resistant enteric bacteria and CA-MRSA and the spread of such infections within Canadian communities is conducted.
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Canadian Public Health Laboratory Network laboratory guidelines for the use of point-of-care tests for the diagnosis of syphilis in Canada.

TL;DR: Although no syphilis POCT are approved in Canada at this time, a single study in an outreach setting in Alberta showed limited benefit due to a high prevalence of previous infection but more studies are needed.
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Measures and Metrics for Feasibility of Proof-of-Concept Studies With Human Immunodeficiency Virus Rapid Point-of-Care Technologies: The Evidence and the Framework.

TL;DR: A framework, with its defined measures/metrics, could reduce misclassification and improve the overall quality of reporting for monitoring and evaluation of rapid point-of-care technology strategies and their context-driven optimization.