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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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
Informe de reunión (Ciudad de Panamá, 21 y 22 de octubre del 2019)
Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
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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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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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Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of Middle Halmahera, Indonesia
DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of Sambas, Indonesia