Resources for Religious Leaders and Faith Communities
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
Lancet Glob Health 2022; 10: e491–500
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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Collection of country-level good practices
Statement
Impact of migration on infectious diseases in Europe | August 2007 | 1-7
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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Due to the heterogeneous distribution of malaria transmission and its determinants, subnational tailoring (SNT) provides an analytical framework to facilitate the targeting of each population with appropriate intervention packages for maximum impact to inform national strategic planning and prioriti...zation based on resources available. The WHO Global Malaria Programme recommends the use of subnational data on disease epidemiology and other relevant local contextual factors to facilitate the process of SNT. Once the strategies and intervention mixes have been defined, programmes can proceed to the prioritization of
interventions for effective programming, based on available resources
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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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Over the reporting period, economic actors continued to carry out their activities with little regard for their impacts on the livelihoods of the communities living in the surrounding areas. In Doo Tha Htoo (Thaton) District, cold dust from a Tatmadaw-run cement factory contaminated nearby waterways... during the rainy season. As a result, civilians from at least 15 villages faced water shortages. In Mu Traw (Hpapun) and Kler Lwee Htoo districts, gold mining activities damaged forests and polluted water and soils in several village tracts. In both cases, the economic actors involved failed to secure the free, prior and informed consent (FPIC) of the local population, and did not compensate the affected communities for the damage caused.
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