Policy Brief, Updated in March 2017
INT J TUBERC LUNG DIS 22(2):197–205 http://dx.doi.org/10.5588/ijtld.17.0245
Supplement article
The Journal of Infectious Diseases® 2017;216(S7):S675–8
DOI: 10.1093/infdis/jix368
Finding the Missing Tuberculosis Patients • JID 2017:216 (Suppl 7) • S675
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Key Populations Brief
Accessed November 2017
3rd Edition – July 2017
www.msfaccess.org
Strengthening Community responses to HIv Treatment and Prevention
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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PLoSONE 12(9):e0184986.https://doi.org/10.1371/journal.pone.0184986
Accelerating HIV prevention to reduce new infections by 75%
2010/4 Vol. 22 | pages 425 à 435
ISSN 0995-3914
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· Relevant interventions
· HIV country profiles
· Adolescents country profiles
Research Article
PLOS ONE | https://doi.org/10.1371/journal.pone.0189770 January 2, 2018