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Publication Years
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2278
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Toolboxes
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A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association
AHA/ASA Guideline
DOI: 10.1161/STR.0000000000000158
Implementing Comprehensive HIV and HCV Programmes with People Who Inject Drugs
UNAIDS, UNODC (United Nations Office on Drugs and Crime); World Health Organization; et al.
(2017)
C2
Practical Guidance for collaborative interventions
Serving the needs of Key Populations: Case examples of innovation and good practice in HIV Prevention, Diagnosis, Treatment and Care
A. Armstrong; C. Irvine; C. Figueroa; A. Verster; R. Baggaley et al.
World Health Organization
(2017)
C_WHO
Key Populations
A toolkit to equip young people with the skills to become powerful advocates for Youth Sexual Reproductive Health and Rights (YSRH&R)
Accessed: 17.11.2019
Antiretroviral Treatment in the Spotlight: A Public Health Analysis in Latin America and the Caribbean 2013
M. A. Jiménez; S. Cabrera; J. J. Fiol; et al.
Pan American Health Organization; World Health Organization (Americas)
(2013)
C_WHO
Washington, DC, 2013
55e conseil directeur - 68e session du comité régional de l'OMS pour les Amériques
Organisation panaméricaine de la Santé; Organisation mondiale de la Santé (Amériques)
(2016)
C_WHO
Washington, D.C., ÉUA, du 26 au 30 septembre 2016
Point 4.10 de l’ordre du jour provisoire
CD55/14 8 juillet 2016
Original : anglais
New generations free of HIV, syphilis, hepatitis B and Chagas disease in the Americas 2018
M. Alonso González; M. B. Mello; L. Sereno;
Pan American Health Organization; World Health Organization (Americas); Unicef
(2019)
C_WHO
- EMTCT Plus
Disease outbreak news, 21 November 2019
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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Politique Nationale de Promotion de la Santé, Version Finale
Objective: The study aimed to describe the current epidemiological, clinical and immunological profile of newly
detected HIV - positive patients in Northern Benin by 2016. Methods: It was a prospective study conducted from May 2 to
October 31, 2016 on three main sites of care of people living with
...
HIV (PLHIV) in the department of Borgou in Benin. All
new cases of HIV infection have been systematically and comprehensively recruited. Initial epidemiological, clinical and
immunological data were collected using a questionnaire. These data were entered and analyzed using the Epi Info 7 software.
Results: In total, 185 adults (68 male and 117 female) newly screened HIV positive were included in this study. The middle age
was 36.2 ± 10.9 years and the sex ratio was 0.6 One hundred and thirty-five patients (73%) were between 25 and 50 years old.
In terms of the profession, 132 patients (71.3%) were engaged in liberal activities (craftmen, traders and retailers). The
majority was schooled (113 or 61.1%) and resided in urban areas (146 or 79%). One hundred and sixteen patients lived in
couple (62.7%) with an average monthly income estimated at 70 US Dollars. Clinically, 123 patients (66.5%) were in WHO
stage III. The body mass index was over 18.5 kg/m2 in 124 patients (67%). The median number of TCD4 lymphocytes was
254.5 cells/ml and 25 patients (13.5%) had a number of CD4 over 500 cells/ml. HIV1 was really predominant (97.8%). Most
patients (152 or 82.2%) had been screened for clinical suspicion. Conclusion: HIV infection in Benin remains the prerogative
of young, female, educated and poor people. Screening is delayed and hence the need to develop innovative strategies for early
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