The WHO Pharmaceuticals Newsletter provides you with the latest information on the safety of medicinal products and regulatory actions taken by authorities around the world.
In addition, this edition includes summary and recommendations from the virtual meeting of the members of the WHO Programme f...or International Drug Monitoring (PIDM) and other partners, which was held on 20 October 2022.
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WHO clinical and policy guidelines
The document is intended to facilitate the detection, evaluation and management of incident EVD cases in Germany. It primarily addresses public health service staff and health care workers in hospitals, outpatient clinics and emergency services in Germany. It is a work in progress, intended to evolv...e over time. Updated 14 August 2015
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A handbook for leaders and managers
(African Development Bank policy research document 1)
The report examines financing in the battle against malaria, focusing on the role of foreign aid. It analyzes whether or not a disease such as malaria can be controlled or eliminated in Africa without health aid. It also presents a theoretic...al model of the economics of malaria and shows how health aid can help avoid the “disease trap.” While calling for increased funding from international sources to fight malaria, it also recommends that African countries step up their own efforts, including on domestic resource mobilization. In 2016, governments of endemic countries contributed 31% of the estimated total of US $ 2.7 billion.
Between 2000 and 2014, malaria control efforts were scaled up and worldwide deaths were cut in half. But declining health aid and deprioritized vertical aid (as for malaria), despite its potentially great efficiency, have led to rising numbers of cases. In 2016, 216 million cases of malaria were reported, up from 211 million in 2015. Africa was home to 90% of all malaria cases and 91% of malaria deaths in 2016. Progress appears to have stalled in the global fight against the disease.
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Infection Prevention and Control Programmes
January 2020
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Module 10
Testing providers
July 2017
Module 10: Testing providers. This module is for people who provide testing services at PrEP sites and laboratories. It offers guidance in selecting testing services, including screening of individuals before PrEP is initiated and monitoring while they ar...e taking PrEP. Information is provided on HIV testing, creatinine, HBV and HCV, pregnancy and STIs.
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- Conference summary report
Key facts about major deadly diseases.This manual provides concise and up-to-date knowledge on 15 infectious diseases that have the potential to become international threats, and tips on how to respond to each of them.
You can download an interactive version directly at the website
http://www.who....int/emergencies/diseases/managing-epidemics/en/
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Politique du Secteur Santé pour la Nutrition 2016-2025
Here you can download infographics and posters
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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