The report offers 20 top recommendations for getting ahead of future outbreaks in Yemen and similarly complex humanitarian settings.
In 2015, Yemen was declared a Level 3 emergency by the UN, kicking into gear the highest level of humanitarian support. A massive cholera outbreak followed, leading t...o 1 million suspected cases in 2 waves from September 2016-July 2018.
“We largely know ‘what to do’ to control cholera, but context-specific practices on ‘how to do it’ in order to surmount challenges to coordination, logistics, insecurity, access and politics remain needed,” the report states.
While the response improved between the 2 waves, there were gaps. For one, Yemen’s history of cholera should have triggered a heavy focus on pre-planning for an epidemic, such as stockpiling supplies and doubling down on community-based surveillance, the report fou
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In this review, the editors will investigate the impact of eight WASH interventions in preventing (reducing the risk of) and controlling outbreaks in LMIC, with particular focus on three diseases of current concern to the response community – cholera, Ebola, and Hepatitis E. Additionally, we will ...explore economic outcomes related to WASH interventions within an outbreak
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This Indicator-Based Pharmacovigilance Assessment Tool (IPAT) was developed as a comprehensive performance metric for pharmacovigilance and medicine safety systems.
Monitoring the situation of children and women
This toolkit provides practical guidance to governments, funders, civil society organizations and other implementing partners on conducting a gender analysis and using findings to inform HIV prevention, care and treatment programs with key populations. It outlines considerations and steps for conduc...ting a gender analysis; explores how to engage with stakeholders, including key population members, in a meaningful partnership; shares lessons learned from a comprehensive gender analysis in Kenya and an abridged gender analysis in Cameroon; and provides tools and resources for conducting a gender analysis with key populations.
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