WHO Regional EVD Preparedness Meeting Presentations January 14-16, 2015
Myanmar, as a country going through rapid socio-political transition and institutional development also suffers with a high burden of infectious disease. An ongoing challenge has been to effectively reach its 51 million population, most of whom battle tuberculosis, acute respiratory infections, diar...rhoea and malaria including amongst under-five children.
Limited research data on the occurrence of resistant organisms in the nation have, makes it hard to estimate the exact antimicrobial resistance (AMR) scenario. Limited peer reviewed evidence indicates significant divergence from the average resistance trends in APAC region. Nevertheless, several key steps by Government of Myanmar have been instrumental in paving the way for the country to join other nations in the South East Asia Region to speed up its plan on addressing the AMR crisis. Combating antimicrobial resistance would, however, require highest political commitment, multi-sectoral coordination, sustained investment and technical assistance.
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Regional Analysis. WPSAR Vol 7, No 2, 2016 | doi: 10.5365/wpsar.2015.6.4.010
The interim Emergency Response Preparedness (ERP) guidance is designed to be a short technical step-by-step guide aimed at non-Humanitarian Response Plan (HRP) countries to support the development, or strengthening, of preparedness measures to ensure that country teams are operationally ready to imp...lement activities to address the potential non-health impacts of the COVID-19 pandemic and its compound effect on existing risks. The interim guidance is based on the IASC 2015 ERP Guidance.
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Here are the answers to the most common queries about the novel coronavirus based on our discussion with the various experts from the reputed institutes and analysis of the CDC, WHO, and MoHFW guidelines.
Achieving the Sustainable Development Goals (SDGs) will require the international community to mobilize significant additional financing over the next decade. Tracking and analyzing this funding is central to measuring progress and making more informed choices to direct financial flows where they wi...ll have the greatest impact. This brief highlights AidData’s updated methodology to track financing to the SDGs, providing a baseline of funding for the years immediately before and after their launch. To track SDG-related financing, we build on our 2017 pilot methodology. Using data from the OECD CRS database on all official development assistance between 2010 and 2016, we identify individual projects that are linked to specific SDG goals or targets and then quantify total financing by SDG. This brief highlights four countries that represent different development contexts and trajectories, exploring how a country’s individual context impacts its SDG-related donor funding by examining the composition of funding and financing trends. We also look at SDG financing from the perspective of donors to see how their own interests are reflected in development portfolios across different countries.
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Manual for Training in Cancer Control
This guideline covers care and management for adults (aged 18 and over) with type 2 diabetes. It focuses on patient education, dietary advice, managing cardiovascular risk, managing blood glucose levels, and identifying and managing long-term complications.
Learning sheet no. 4
Accessed March, 2025
Version 2, January 2016
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoH), A ...Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated.
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PQDx 0214-064-00
WHO PQDx PR
April/2016, version 3.0