The full report you can download under
https://reliefweb.int/sites/reliefweb.int/files/resources/pdna_report_mozambique_cyclone_idai.pdf
(Large File 11 MB)
OM Bangladesh Needs and Population Monitoring (NPM) is part of the IOM’s global Displacement Tracking Matrix (DTM) programming. DTM is IOM’s information management system to track and monitor population displacement during crises. Composed of several tools and processes, DTM regularly captures a...nd analyzes multilayered data and disseminates information products that us help better understand the evolving needs of the displaced population, whether on site or en route.
As of Janurary 2018, NPM Bangladesh has two ongoing regular data collection and information management components, the NPM Site Assessment (SA) and the NPM Flow Monitoring (FM). These are designed to complement each other to provide a complete coverage of popuation movements over time.
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Learn how the decision making process must ensure that appropriate structures and supports are in place to maximize the nursing effort resulting in the best possible care and positive outcomes for the patients/clients, nursing personnel, and the organization.
with special reference to prevention and control of avian influenza
This document provides a systematic approach in developing a coordinated, standardized, reliable, efficient, cost-effective, and sustainable specimen transport and referral system to support IVHD and VL testing networks. This document provides technical and programmatic recommendations on the approp...riate specimen storage and transportation of specimens for HIV VL and IVHD testing. Along with the national guidelines for specimen storage and transport, these standards should provide guidance on the creation or improvement of specimen referral networks and specimen transport systems. In addition, standard operating procedures (SOPs) targeting drivers and persons responsible for packing of specimens and results return are included in this document.
No publication year indicated in the document.
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This study aimed to analyze the geographical distribution of coronavirus disease 2019 (COVID-19) and to identify high-risk areas in space and time for the occurrence of cases and deaths in the indigenous population of Brazil. This is an ecological study carried out between 24 March and 26 October 20...20 whose units of analysis were the Special Indigenous Sanitary Districts. The Getis-Ord General G and Getis-Ord Gi* techniques were used to verify the spatial association of the phenomena and a retrospective space–time scan was performed. There were 32 041 confirmed cases of COVID-19 and 471 deaths. The non-randomness of cases (z score = 5.40; P < 0.001) and deaths (z score = 3.83; P < 0.001) were confirmed. Hotspots were identified for cases and deaths in the north and midwest regions of Brazil. Sixteen high-risk space–time clusters were identified for the occurrence of cases with a higher RR = 21.23 (P < 0.001) and four risk clusters for deaths with a higher RR = 80.33 (P < 0.001). These clusters were identified from 22 May and were active until 10 October 2020. The results indicate critical areas in the indigenous territories of Brazil and contribute to better directing the actions of control of COVID-19 in this population.
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The steps reassert the sequence of the HPC, with needs analysis directly informing decisions about the response and monitoring, whether for the preparation of new plans or adjustments to existing ones. The steps of the HPC have a rationale and cannot be skipped. However, the depth of work under each... step can and should be adapted to the realities of the operating environment and capacities.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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This rapid compilation of data analyses provides a ‘stock-take’ of social science and behavioural data related to the on-going outbreak of Ebola in North Kivu, South Kivu and Ituri provinces. Based on data gathered and analysed by organisations working in the Ebola response and in the region mor...e broadly, it explores convergences and divergences between datasets and, when possible, differences by geographic area, demographic group, time period and other relevant variables. Data sources are listed at the end of the document.
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Since December 2010, Malaria Consortium has been implementing an innovative approach to community management of severe acute malnutrition, together with an existing integrated community case management (ICCM) programme in South Sudan. This learning paper considers Malaria Consortiums experience of t...his combined approach in a highly complex context and shows whether the management of severe acute malnutrition is an effective, acceptable and feasible component of ICCM programming
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Reference book specifying the principles of intervention for all food security activities, from initial assessment to programme implementation.