This Training module on malaria elimination has been developed by WHO to support health professionals in planning, managing, monitoring and evaluating malaria elimination programmes.
Supporting exercises: These files are necessary for participants to complete a number of exercises listed in the man...ual. Please go to the website: http://www.who.int/malaria/publications/atoz/9789241549424/en/
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Kulkarni et al. The Journal of Headache and Pain (2015) 16:67 DOI 10.1186/s10194-015-0549-x
BMC Psychiatry 2014 14:191 https://doi.org/10.1186/1471-244X-14-191
Research Article
Received: August 21, 2017; Accepted: August 29, 2017; Published: Spetember 05,
2017
This article is available in: http://www.imedpub.com/advanced-techniques-in-clinical-microbiology/
The regional Migrant Response Plan (MRP) for the Horn of Africa and Yemen includes urgent life-saving humanitarian and protection interventions to improve safe and dignified access to basic services for migrants and host communities while ensuring medium- to long-term actions aimed at addressing the... drivers of migration.
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Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level determinants of HIV testing uptake in Burkina Faso.
The Global Campaign Against Epilepsy “Out of the Shadows”
Psychol Behav Sci Int J 5(5): PBSIJ.MS.ID.555675 (2017)
J Nepal Health Res Counc 2012 May;10(21):82-87
Disaster Preparedness Training Programme
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Demographic and Health Surveys, Working Paper