This Roadmap is structured around a results-based framework of outcomes, outputs and deliveraebles, to ensure that WHO maintains appropriate levels of organizational readiness, supports country-level capacity building and preparedness, deploys efficiently and effectively to respond to outbreaks and ...emergencies at national and subnational levels, and engages effectively with partners and stakeholders throughout
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Diabetes is a significant public health issue that affects approximately one in 10 adults globally, with type 2 diabetes accounting for 90–95% of cases. This chronic condition causes considerable morbidity and mortality and is growing in impact, with cases projected to rise from 537 million in 202...1 to 784 million by 2045.1 As cases rise, it is imperative to ensure the healthcare workforce is prepared to care for affected individuals. However, there is a growing global shortage of healthcare workers, which was estimated, pre pandemic, to reach 15 million by 2030.2 Therefore, all of the healthcare workforce will need to be utilised to their fullest potential in order to address the growing global burden of diabetes. Pharmacists will continue to be essential in this endeavour.
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Data on Infectious Diseases in Ukraine Now Available as a Free eBook to Help Medics and Relief Efforts During the War.
• Data on the 215+ infectious diseases endemic to Ukraine
• All published data on infections imported into Ukraine
To download the book, please click the button below and use... the coupon code EBOOKUKRAINE at checkout: The code will expire in 30 days.
March 2nd, 2022
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Euro Surveillance 2014;19(47):pii=20970, p.31-37
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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La Enfermedad por el Virus de la Chikungunya – EVCH fue descrita por primera vez durante un brote ocurrido en 1952 al sur de Tanzania, su nombre es de origen makonde, grupo étnico que vive en esa región, que significa “aquel que se encorva” o “retorcido”, que describe la apariencia inc...linada de las personas que sufren la enfermedad, por las artralgias intensas que la caracterizan
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