This study consists of a descriptive analysis of M. tuberculosis isolates from Beira Central Hospital, Mozambique, during 2014–2015, being the first report of a genotypic testing used to provide information about second line drug resistance in Mozambique.
BMC Infectious Diseases (2016) 16:423 DO...I 10.1186/s12879-016-1766-x
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Updated Interim guidance 29 July 2020
The provision of safe water, sanitation and waste management and hygienic conditions is essential for preventing and for protecting human health during all infectious disease outbreaks, including of coronavirus disease 2019 (COVID-19). Ensuring evidenced-based ...and consistently applied WASH and waste management practices in communities, homes, schools, marketplaces, and healthcare facilities will help prevent human-to-human transmission of pathogens including SARS-CoV-2, the virus that causes COVID-19.
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Handbook of Foodborne Pathogenic Microorganisms and Natural Toxins
This Manual covers all important aspects of echinococcosis, including parasite biology and life-cycles, geographic distribution and prevalence, epidemiology, clinical presentation in humans and animals, diagnosis and treatment, as well as control and prevention using newly developed tools and method...s. It also provides descriptions of important techniques and a large number of bibliographical references.
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Drugs, Diagnostics, Vaccines, Preventive Technologies, Research toward a cure, and immune-based and gene therapies in development
The report presents current information (updated to September 2015) on candidate vaccines, therapies and medical devices for Ebola and gives an overview of completed and on-going trials.
Shoman et al. Globalization and Health (2017) 13:1 DOI 10.1186/s12992-016-0224-2
Diagnosis and Management of Systemic Lupus Erythematosus
PLOS ONE | DOI:10.1371/journal.pone.0133869 July 28, 2015, p.1-16
PLoS Pathogens | www.plospathogens.org 1
February 2012 | Volume 8 | Issue 2 | e100246
Advocacy report March 2011
303100 03/2011 E 1,000
Rapport de plaidoyer Mars 2011
303100 03/2011 E 1,000
Review Article:
The American Journal of the Medical Sciences 2011;341(6):493–498.]
DHS ANALYTICAL STUDIES 56
Bangladesh, Cambodia, India, Indonesia, Nepal, Pakistan, Philippines
Global Campaign Against Epilepsy
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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