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A Review of Needs Assessment Tools, Response Analysis Frameworks, and Targeting Guidance for Urban Humanitarian Response
Lili Mohiddin, Gabrielle Smith
International Institute for Environment and Development, Norwegian Refugee Council, International Rescue Committee, World Vision
(2016)
C1
The magnitude of urban disasters, high population densities, and a complex social, political and institutional environment has challenged the manner in which humanitarian agencies are used to working. Humanitarian agencies are now grappling with how to change their approaches to this reality. This d
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esk review aims to provide an audit and analysis of existing needs assessments, response analysis frameworks and targeting approaches for use in urban post-conflict emergency response.
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Version 2 (unedited). The Basic Needs Analysis (BNA) is a multi-sector needs analysis approach that can be applied in both sudden onset and protracted emergencies. The methodology comprises the Guid
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ance (this document) presenting the conceptual BNA framework and related processes, and a Toolbox, which includes tools, templates, training materials, and examples drawn from its first pilot, in Borno State(Nigeria).
The BNA is conceived to go hand in hand with the Facilitator’s Guide for the Response Options Analysis and Planning (a separate document), as it is part of a broader response planning process (see The BNA within the ). It shall be carried out with other assessments on the operational environment and would not add any value if undertaken in isolation.
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Undernutrition in Myanmar. Part 2: A Secondary Analysis of LIFT 2013 Household Survey Data
Zaw Win; Cashin, Jennifer
Leveraging Essential Nutrition Actions to Reduce Malnutrition (LEARN)
(2016)
C1
In order to better understand the contributing factors of undernutrition in LIFT program areas and the links between child nutritional status and independent variables of programmatic importance to LIFT (such as income, livelihoods, food security, and water, sanitation and hygiene [WASH]), LEARN com
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missioned a secondary analysis of nutrition-related data from the 2013 LIFT Household Survey. The purpose of this report is to present the findings of this analysis.
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Women's Empowerment and Spousal Violence in Relation to Health Outcomes in Nepal: Further analysis of the 2011 Nepal Demographic and Health Survey
Tuladhar S., Khanal K.R., K.C. Lila, Ghimire P.K., Onta K.
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and
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access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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Transactional sex and HIV risk: from analysis to action
UNAIDS; STRIVE
(2017)
C2
UNAIDS 2018 / Reference
The global tripartite self-assessment survey of country progress in addressing antimicrobial resistance (AMR) is a component of a broader approach for monitoring and evaluation of the global action plan on AMR. This report analyses the results of the second tripartite self-assessment survey. It has
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been developed and run by the three Tripartite organizations (Food and Agriculture Organization of the United Nations (FAO), World Organisation for Animal Health (OIE) and World Health Organization (WHO)) and reflects progress in the human, animal (terrestrial and aquatic), plant, food safety and environmental sectors. 154 countries out of 194 WHO Member States responded to this round of the self-assessment survey – a response rate of 79.4%.
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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 data currently available from their re
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levant 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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COVID-19 has turned the world upside down. Everything has been impacted. How we live and interact with each other, how we work and communicate, how we move around and travel. Every aspect of our lives has been affected.
Lancet Planet Health 2019; 3: 469–77
To examine how health aid is spent and channelled, including the distribution of resources across countries and between
subsectors. Our aim was to complement the many qualitative critiques of health aid with a quantitative review and to provide insights on the level of development assistance availa
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ble to recipient countries to address their health and health development needs.
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Kassa BMC Infectious Diseases (2018) 18:216 https://doi.org/10.1186/s12879-018-3126-5
MICROBIAL DRUG RESISTANCEVolume 24, Number 5, 2018ªMary Ann Liebert, Inc.DOI: 10.1089/mdr.2017.0383
Antibiotic resistance (ABR) is a worldwide publichealth concern, with serious health, economic, and so-cietal repercussions. Its emergence is attributed to the se-lective pressure exerted by antib
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iotic use in the community, hospitals, veterinary health, agriculture, aquaculture, and the environment. Additionally aggravating the situation is the fact that very few new antibiotics have recently been produced by pharmaceutical companies. It is widely acknowledged that food animals are key reservoirs of antibiotic-resistant bacteria and that antibiotic usage in this population favors the emergence, selection, and spread of resistance among animals and humans, both through zoonoses (infectious diseases trans-mitted between animals and humans) and the food chain.
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