This manual is a resource for Health Counselors working in Family Physician Clinics (FPC) as part of the MANAS program. This program is for common mental disorders like depression and anxiety seen in primary health care facilitieslike the FPC; since depression is the common...est disorder within this group of stress related mental health problems, in the manual we refer to these problems simply as ‘Depression’. The aim of the MANAS program is to integrate the recognition and treatment of Depression into routine primary health care.In the MANAS program, a range of effective treatments will be provided for patients with Depression. These treatments are matched to the individual requirements of patients to both improve the effectiveness of the treatments and to use the limited resources efficiently.
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he...alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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Frontiers in Public Health | www.frontiersin.org 1 June 2017 | Volume 5 | Article 127
Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 23, No. 11, November 2017
Research Article
PLOS ONE | DOI:10.1371/journal.pone.0164619 October 13, 2016
Public Health is the science field dedicated to promoting health and well-being, and preventing disease within the human population to ultimately increase the quality of our livelihood and life span. Public Health does not focus on individual patients or diseases, but rather a given population and ...health system. The discipline is community-centered in its interventions and seeks to improve the health status of whole populations...
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Introduction
Chapter A.4
2017 edition
Protocol and preliminary evaluationas of Jan 17, 2020
South Eastern European Journal of Public Health, EEJPH 2016, posted: 11 January 2016. DOI 10.4119/UNIBI/SEEJPH-2016-85
Externalising disorders
Chapter D.3
Arq Neuropsiquiatr 2011;69(2-B):342-348
Psychiatry and Pediatrics
Chapter I.4
Research Article
BMC Infectious Diseases 2012, 12:262; doi:10.1186/1471-2334-12-262
Tsetse traps and targets (insecticide-impregnated screens) function by attracting the flies to a device that collects and/or kills them. Traps can be used for entomological surveillance, and also for control. Targets are simpler than traps, but are not used for surveillance. They are impregnated wit...h biodegradable insecticides in order to kill any flies that alight on them. Traps can also be impregnated with insecticides. Traps and targets can both be used to eliminate a fraction of the tsetse population.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Received: 16/11/2013 - Accepted: 23/03/2014 - Published: 27/07/2014