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Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country. ... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines. more
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country. ... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines. more
Learning from the Use of Data, Information, and Digital Technologies in the West Africa Ebola Outbreak Response
The second ECDC/EFSA/EMA joint report on the integrated analysis of antimicrobial consumption (AMC) and antimicrobial resistance (AMR) in bacteria from humans and food-producing animals addressed data obtained by the Agencies’ EU-wide surveillance
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networks for 2013–2015. AMC in both sectors, expressed in mg/kg of estimated biomass, were compared at country and European level. Substantial variations between countries were observed in both sectors. Estimated data on AMC for pigs and poultry were used for the first time. Univariate and multivariate analyses were applied to study associations between AMC and AMR. In 2014, the average AMC was higher in animals (152 mg/kg) than in humans (124 mg/kg), but the opposite applied to the median AMC (67 and 118 mg/kg, respectively). In 18 of 28 countries, AMC was lower in animals than in humans. Univariate analysis showed statistically-significant (p < 0.05) associations between AMC and AMR for fluoroquinolones and Escherichia coli in both sectors, for 3rd- and 4th-generation cephalosporins and E. coli in humans, and tetracyclines and polymyxins and E. coli in animals. In humans, there was a statistically-significant association between AMC and AMR for carbapenems and polymyxins in Klebsiella pneumoniae. Consumption of macrolides in animals was significantly associated with macrolide resistance in Campylobacter coli in animals and humans. Multivariate analyses provided a unique approach to assess the contributions of AMC in humans and animals and AMR in bacteria from animals to AMR in bacteria from humans. Multivariate analyses demonstrated that 3rd- and 4th-generation cephalosporin and fluoroquinolone resistance in E. coli from humans was associated with corresponding AMC in humans, whereas resistance to fluoroquinolones in Salmonella spp. and Campylobacter spp. from humans was related to consumption of fluoroquinolones in animals. These results suggest that from a ‘One-health’ perspective, there is potential in both sectors to further develop prudent use of antimicrobials and thereby reduce AMR.
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Access to health workers who are fit for purpose, motivated and protected is a fundamental force of health service delivery and the achievement of universal health coverage and the health and health-related Sustainable Development Goals. Data and kn
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owledge of the distribution, skill mix and future development needs of the health workforce can mean the difference between enabling or impeding health systems performance, inclusive economic growth and global health security preparedness and response
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2016-2018 Early implementation,
This report presents 2015 data on the consumption of systemic antibiotics from 65 countries and areas, contributing to our understanding of how antibiotics are used in these countries. In addition, the report documen
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ts early efforts of the World Health Organization (WHO) and participating countries to monitor antimicrobial consumption, describes the WHO global methodology for data collection, and highlights the challenges and future steps in monitoring antimicrobial consumption.
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The ECDC, the EFSA and the EMA have for the first time jointly explored associations between consumption of antimicrobials in humans and food-producing animals, and antimicrobial resistance in bacteria from humans and food-producing animals, using 2011 and 2012
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data currently available from their relevant five EU monitoring networks. Combined data on antimicrobial consumption and corresponding resistance in animals and humans for EU MSs and reporting countries were analysed using logistic regression models for selected combinations of bacteria and antimicrobials. A summary indicator of the proportion of resistant bacteria in the main food-producing animal species was calculated for the analysis, as consumption data in food-producing animals were not available at the species level
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TRAINING MANUAL on DISABILITY STATISTICS
World Health Organization United Nations Economic and Social Commission for Asia and the Pacific
United Nations
(2008)
C2
WHO/ESCAP Training Manual on Disability Statistics | This training manual intends to enhance the understanding of the ICF-based approach to disability measurement. It provides an overview of the ICF framework as well as guidelines on how to operationalize the underlying concepts of functioning and
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disability into data collection, dissemination and analysis.
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AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outl
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ines the version 1.1 set of TUFF procedures that have been developed, tested, refined, and implemented by AidData researchers and affiliated faculty at the College of William & Mary and Brigham Young University.
In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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Guide for coordinators and data collectors - The WHO Operational Package for Assessing, Monitoring and Evaluating Country Pharmaceutical Situations is intended as a useful tool for researchers, policy-makers, planners and others who need to use stan
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dardized measurement tools to gather data and other information. In addition, the operational package can be used by international agencies and donors, by professional groups and nongovernmental organizations (NGOs).
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This is the third guidance note in a four-part series of notes related to impact evaluation developed by InterAction with financial support from the Rockefeller Foundation.This third guidance note, Introduction to Mixed Methods in Impact Evaluation, starts by explaining what a mixed methods (MM) imp
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act evaluation design is and what distinguishes this approach from quantitative or qualitative impact evaluation designs. It notes that a mixed methods approach seeks to integrate social science disciplines with predominantly quantitative (QUANT) and predominantly qualitative (QUAL) approaches to theory, data collection, data analysis and interpretation. The guidance note is also available in French and Spanish on https://www.interaction.org/impact-evaluation-notes. ATTENTION: ANNEXES 1 TO 11 TO THIS DOCUMENT CAN BE FOUND IN ENGLISH VERSION ON: https://www.interaction.org/introduction-mixed-methods-impact-evaluation-annexes
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District Health Management Information System (DHMIS) - Standard Operating Procedures Facility Level
This document provides SOPS to ensure appropriate data and information management at health facilities. These SOPs are an updated version of the 2013 SOPs. These SOPs aim to clarify the responsibilities and procedures for effective management of ag
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gregated routine health service data
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Tracking aid for the WHA nutrition targets: Global spending in 2015 and a roadmap to better data
Alimonte, Mary D'; Thacher, Emily; LeMier, Ryan; Clift, Jack
Results for Development (R4D)
(2018)
C1
In 2017, the World Bank and partners created the Global Investment Framework for Nutrition as a roadmap towards achieving the World Health Assembly (WHA) nutrition targets by 2025. The framework estimates that the world needs to mobilize an annual additional investment of $7 billion per year to scal
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e-up nutrition-specific interventions at the level needed to achieve the global targets. However, the world is off-track to meet the global targets. And it is unclear whether additional resources will be mobilized for life-saving and cost-effective nutrition-specific interventions, or whether donor support will be enough to meet the annual resource need established by the framework.
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PLoS Negl Trop Dis 15(8): e0009697. Chagas disease (CD), caused by the parasite Trypanosoma cruzi, affects ~6–7 million people worldwide. Significant limitations still exist in our understanding of CD. Harnessing individual participant data (IPD)
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from studies could support more in-depth analyses to address the many outstanding research questions. This systematic review aims to describe the characteristics and treatment practices of clinical studies in CD and assess the breadth and availability of research data for the potential establishment of a data-sharing platform.
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This companion to the ALNAP EHA Guide offers protection-specific insights for evaluators and evaluation commissioners across the humanitarian sector. It covers the planning, data management and analysis phases of evaluation and addresses a range of
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challenges that – whilst not all unique to protection – are often exacerbated by the contexts in which protection activities typically take place. Challenges addressed include those arising from the multi-faceted nature of protection activities, the difficulty understanding cause-effect relationships underlying protection risks, and the challenges of accessing and managing very sensitive data, sometimes drawn from communities in conflict.
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Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data
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on disabled children, and why there is a real need to improve the collection, analysis, dissemination and use of disability data.
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This report provides an overview of the main findings of the 2019–2020 harmonised AMR monitoring in the main food-producing animal populations monitored, in carcase/meat samples and in humans. Where available, monitoring data obtained from pigs, c
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alves, broilers, laying hens and turkeys, as well as from carcase/meat samples and humans were combined and compared at the EU level, with particular emphasis on multidrug resistance, complete susceptibility and combined resistance patterns to critically important antimicrobials, as well as Salmonella and E. coli isolates possessing ESBL-/AmpC-/carbapenemase phenotypes.
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