Это руководство по мониторингу и оценке (МиО) было разработано для оказания помощи руководителям программ по борьбе с ТБ и ВИЧ-инфекций в организации совместных де...йствий по борьбе с ТБ/ВИЧ. Оно предназначено для того, чтобы облегчить сбор стандартизированных данных и помочь в интерпретации и распространении этих данных для усовершенствования программ.
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Dolutegravir HIV drug resistance (HIVDR) data from Africa remain sparse. We reviewed HIVDR results of Malawians on
dolutegravir-based antiretroviral therapy (November 2020– September 2021). Of 6462 eligible clients, 33 samples were submitted to South Africa, 27 were sequenced successfully, and 8 ...(30%) had dolutegravir HIVDR. Malawi urgently requires adequate HIVDR testing capacity.
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MSF International AIDS Working Group
HIV patient monitoring and case surveillance
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
Supplement Article
Antiretrovirals to Prevent HIV Infection • CID 2015:60 (Suppl 3) • S159 - S160
HIV Country Intelligence - HIV Country Profiles
WHO/HTM/HIV/2007.01 WHO/HTM/TB/2007.380
HIV Country Intelligence - HIV Country Profiles
The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’...s dedication to utilising digital technologies and AI to enhance healthcare delivery, facilitate data-driven decision-making, and bolster the resilience of the healthcare system. Although AI integration in Tanzania’s health sector is still in its infancy, a growing number of initiatives are highlighting its potential in clinical care, research, and system management. The Ministry of Health, in collaboration with partners including the President’s Office (PORALG), Fondation Botnar, MUHAS, UDOM and PATH, has spearheaded this initiative with the aim of using AI to minimise errors, improve clinical outcomes and boost the efficiency of the health system.
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