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174
143
126
107
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95
93
87
55
44
40
36
29
12
6
2
1
Male and Female Respondents Interviewed Along the Central and the Eastern Mediterranean Routes in 2017
9,483 surveys conducted with migrants in Italy, Bulgaria, Greece, Hungary, Kosovo, Montenegro, Romania, Serbia and The former Yugoslav Republic of Macedonia, in 2017
Checklist for including children with disabilities in preparedness (English) | Preparedness checklist
Wild elephants and snakes, violent men lurking in the forest and human traffickers on the prowl during the night. These are among the most pressing fears identified by Rohingya children who fled fighting in Myanmar to Bangladesh, according to a new report launched today by Save the Children, World V
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ision and Plan International to coincide with the six month mark of the crisis.
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The purpose of the WHO Manual for the Public Health Management of Chemical Incidents is to provide a comprehensive overview of the principles and roles of public health in the management of chemical incidents and emergencies. While this information is provided for each phase of the emergency cycle,
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including prevention, planning and preparedness, detection and alert, response and recovery, it is recognized that the management of chemical incidents and emergencies requires a multi-disciplinary and multi-sectoral approach and that the health sector may play an influencing, complementary or a leadership role at various stages of the management process. The target audience includes public health and environmental professionals, as well as any other person involved in the management of chemical incidents.
WHO and all those involved in the development of the publication hope that the publication will have wide application, especially in developing countries and countries with economies in transition, and that in the future the health sector will be better prepared to acknowledge and fulfill its roles and responsibilities in the management of chemical incidents and emergencies, thereby contributing to the prevention and mitigation of their health consequences.
The publication is also available in French: http://apps.who.int/iris/bitstream/handle/10665/246117/9789242598148-fre.pdf?sequence=1 and in Spanish: http://apps.who.int/iris/bitstream/handle/10665/246118/9789243598147-spa.pdf?sequence=1
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WG Implementation Guidelines Tool2
The 2007 Rwanda Service Provision Assessment (RSPA) was a national representative survey conducted in 538 health facilities throughout Rwanda. The survey covered hospitals, health centers, dispensaries and
health posts, including all public facilities such as government and government-assisted heal
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th facilities. The 2007 RSPA used interviews with health service providers and clients and observations of provider client consultations to obtain information on the capacity of facilities to provide quality services and the existence of functioning systems to support quality services. The areas addressed were the overall facility
infrastructure, maternal and child health, reproductive health, tuberculosis, malaria services; and services for sexually transmitted infections and HIV/AIDS. The objective was to assess the strengths and
weaknesses of the infrastructure and systems supporting these services, and to assess the adherence to standards in the delivery of services.
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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
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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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