Análisis de las inequidades en salud reproductiva, materna, neonatal, de la niñez y de la adolescencia en América Latina y el Caribe para guiar la formulación de políticas
May 2018
HIV i-Base
ISSN 1475-2077 www.i-Base.info
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Tercera edicion .En esta tercera edición se actualiza la definición de la triquiasis tracomatosa según lo acordado en la cuarta Reunión Científica Mundial sobre el Tracoma (Ginebra, del 27 al 29 de noviembre del 2018), se agrega una descripción sobre cómo examinar el entropión, se mejoran la...s listas de instrumentos y material fungible necesarios para la cirugía, se amplía y se mejora la orientación sobre los cuidados posoperatorios, se incluyen ilustraciones actualizadas, se mejora la presentación en todo el libro, y se elimina el contenido redundante.
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The main objective of this mission was to assess the level of preparedness of Guinea-Bissau in respect of the WHO consolidated checklist. The checklist helps countries to assess and test their level of readiness it is being used to identify concrete action to be taken and where countries will requir...e support from partners. It lists 10 key components and tasks for both countries and the international community that should be completed within 30, 60 and 90 days from the date of issue of the list, with minimal requirements for equipment, material and human resources.
The components include: overall coordination; rapid response teams; public awareness and community engagement; infection prevention and control; epidemiological and laboratory surveillance; contact tracing; points of entry; laboratory; social mobilization and risk communication; budget.
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The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff...ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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