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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Issues & Regulations Regarding Pharmaceutical Waste Management
A Handbook for country programmes
Collection of country-level good practices
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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Prepare su lugar de trabajo para la COVID-19
En enero de 2020, la Organización Mundial de la Salud (OMS) declaró como emergencia de salud pública de importancia internacional el brote de enfermedad por un nuevo coronavirus en la provincia de Hubei (China). La OMS indicó que existe un alto ries...go de que la enfermedad por coronavirus 2019 (COVID-19) se propague a otros países del mundo.
La OMS y las autoridades de salud pública de todo el mundo están adoptando medidas para contener el brote de COVID-19. Sin embargo, no puede darse por sentado el éxito a largo plazo. Todos los sectores de la sociedad, incluidas las empresas y los empleadores, deben asumir sus responsabilidades si queremos detener la propagación de la enfermedad.
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Esta guía operativa se basa en las mejores prácticas y ejemplos ilustrativos de ciudades y pueblos donde la Agencia de Refugiados de la ONU (ACNUR) trabaja actualmente con refugiados en zonas urbanas. El papel del ACNUR en el ámbito de la salud pública es más complejo y menos definido en contex...tos estatales, privados y organizaciones no gubernamentales (ONG) locales e internacionales. El objetivo del ACNUR en las zonas urbanas es que los refugiados accedan a servicios de salud de calidad a un nivel similar al de los nacionales. El papel principal el ACNUR en las zonas urbanas es promover y facilitar que los servicios de salud de calidad estén disponibles para los refugiados y que puedan acceder a ellos.
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Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country.... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines.
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UNAIDS 2018, Guidance
Indicators for monitoring the
2016 Political Declaration on Ending AIDS