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Mark David McGregor Davis

Researcher at Monash University

Publications -  157
Citations -  6851

Mark David McGregor Davis is an academic researcher from Monash University. The author has contributed to research in topics: Acquired immunodeficiency syndrome (AIDS) & Public health. The author has an hindex of 36, co-authored 150 publications receiving 6356 citations. Previous affiliations of Mark David McGregor Davis include University College London & University of Queensland.

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BookDOI

HIV Treatment and Prevention Technologies in International Perspective

TL;DR: Race HIV Pre-exposure Prophylaxis (PrEP) and the Complexities of Biomedical Prevention: Ontological Openness and the Prevention Assemblage M. Davis & C. Squire Bibliography
Journal ArticleDOI

Young men who have sex with men's use of social and sexual media and sex-risk associations: cross-sectional, online survey across four countries

TL;DR: Examination of YMSM's use of a variety of social and sexual networking websites and ‘apps' found increased odds of high-risk condomless anal intercourse associated with the length of time users had been using GSN websites and lower levels of education.
Book

Sex, Technology and Public Health

TL;DR: The concept of citizenship in relation to the extension of public health through the internet is discussed, and concerns that sexually transmitted infections and HIV are associated with such technologies are revealed.
Journal ArticleDOI

Investigating Public trust in Expert Knowledge: Narrative, Ethics, and Engagement

TL;DR: This symposium was conceived as an interdisciplinary project, drawing on bioethics, the social sciences, and the medical humanities, supplying new reflections on public trust, expertise, and biomedical knowledge.
Journal ArticleDOI

Quantification of Counterparty Risk Via Bessel Bridges

TL;DR: In this article, a dynamical credit model that can be calibrated exactly to CDS quotes is presented, where the default time is modeled as the first-passage time of a credit index process to the level zero and the parameters of this index process can be chosen such that the risk-neutral distribution of the time of default is matched.