Guide de recensement et de description
Advocacy ,Social Mobilization ,Behavior Change Communications
Weekly Epidemiological Record (WER), 17 September 2021, Vol. 96, No. 37 (pp. 445-460)
Kenya Quality Model for Health - Level 2 Facilities
How 2016 became the worst year for Syria's children
The document contains preliminary report on all aspects of WHO’s response in the Ebola outbreak. WHO Member States will discuss the report at the sixty-eighth World Health Assembly.
The document “Malaria Elimination Programme Review, India 2022”, published by the WHO Country Office for India, provides an in-depth assessment of India’s progress toward malaria elimination. It evaluates the structure, implementation, and effectiveness of national and subnational malaria prog...rams, focusing on surveillance, diagnosis, treatment, vector control, and community engagement. The review identifies strengths, challenges, and areas for improvement, offering evidence-based recommendations to accelerate India's efforts to eliminate malaria by 2030.
more
While motivational factors vary, opportunities for career advancement, stimulating and challenging tasks, opportunities for promotion, and co-worker recognition are core factors that can engender retention of rural health workers. Interventions are required to enhance rural health worker motivation ...and retention, including strengthening the supervision system, developing career progression pathways, and ensuring clear and transparent incentives. Strategies around retention need to be addressed as these would better enable rural primary health workers to cope with the challenging conditions they work in rural areas.
more
To realize Agenda 2030, aid agencies, private philanthropies, and their partners in the Global South need better data to monitor how official development finance (ODF) dollars advance the Sustainable Development Goals (SDGs) and avoid missing the mark. In this report, we summarize the results of a n...ovel effort to tag and analyze 2.7 million ODF projects between 2010-2021 using machine learning to understand their contributions to the SDG thematic areas at a goal
and target level. This time frame is instructive: it compares the last six years of the Millennium Development Goals era and the first six years of the new SDG age, from early optimism to later uncertainty about the resilience of the agenda to drive collective commitments amid unanticipated global shocks.
more