Climate change, increasing population densities, and intensified globalisation in trade, travel and migration are among the most important factors shaping the 21st century. Each impacts upon population health and the risk of infectious disease, particularly those originating at the human-animal-envi...ronmental interface. The recognition that many risk drivers of infectious disease fall outside of the typical domain of the health sector creates the challenge of identifying and pursuing priorities for cross-sectoral action aimed at strengthening global health security. In response, the One Health concept has emerged, as have related initiatives addressing Planetary Health and Biodiversity and Human Health. From a public health perspective and operationally speaking, the One Health approach offers great potential, emphasising as it does cooperation and coordination between multiple sectors. Yet despite having been a focal point for discussion for over a decade, numerous challenges facing the implementation of One Health preparedness strategies remain. While some are technical, related to the requirement for innovative early warning systems or new vaccines, for example, others are institutional and cultural in nature, given the transdisciplinary nature of the topic. There have thus been calls to address One Health from multiple perspectives, from ecology to the social sciences. In order to further explore this issue and to identify priority areas for action for strengthening One Health preparedness in Europe, ECDC convened an expert consultation on 11–12 December 2017.
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Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
Resources for Religious Leaders and Faith Communities
Profile of health crisis response of area, city or district in indonesia with high risk of natural disaster : Bengkulu City, Indonesia
Profile of health crisis response of cities, area or districts in Indonesia with high risk of natural disaster : District of Kolaka, Indonesia
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
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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Indoor residual spraying (IRS) involves applying residual insecticide to potential vector resting sites on the interior surfaces of human dwellings or other buildings. The main aim of IRS is to kill vectors before they are able to transmit pathogens to humans. When carried out correctly, IRS has his...torically been shown to be a powerful intervention to reduce adult vector density and longevity for mosquitoes, sand flies and triatomine bugs and can reduce the transmission of vector-borne diseases.
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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
Vector-borne diseases are responsible for 17% of the global burden of communicable diseases and more than 500 000 deaths annually. The ambitious global targets for the control of vector-borne diseases come in the context of the (re-)emergence of diseases, increasing resistances to insecticides and u...ncertainty related to the financing of global vector control efforts. The United Nations 2030 Agenda with its related Sustainable Development Goals (SDGs), the New Urban Agenda adopted at the United Nations Conference on Housing and Sustainable Urban Development (Habitat III)
in Quito in 2016 and WHO’s Global vector control response 2017–2030 (WHO, 2017a) emphasize the value of elevating multisectoral actions and strategies that extend beyond the health sector to the core of integrated vector control.
This policy brief underlines the important role housing conditions have in the transmission of vector-borne diseases and showcases interventions and policies the housing sector can contribute to effective, integrated and intersectoral vector-borne diseases management.
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