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Global Technical Strategy for Malaria 2016–2030, 2021 Update
Pedro Alonso, Kevin Baird, David Brandling-Bennett et al.
World Health Organization (WHO)
(2022)
C_WHO
This updated version, endorsed by the World Health Assembly in May 2021 through resolution WHA74.9, reflects lessons learned in the global malaria response over the last 5 years. While the milestones and targets remain the same, the approaches to tackling the disease, in some areas, have evolved to
...
keep pace with the changing malaria landscape.
more
To better adapt current case management practices and address excess mortality in otherwise treatable
cases will require better knowledge of the demographic characteristics of the patients and comorbidities
which can make severe dehydration harder to tolerate physiologically. With this in mind, a
...
scoping review
was undertaken, to explore the literature and summarise the existing evidence on cholera mortality and
reported risk factors.
more
The Guidelines for the Diagnosis, Treatment and Prevention of Leprosy provide state-of-the-art knowledge and evidence on leprosy diagnosis, treatment and prevention based on a public health approach in endemic countries. The target audience of this document includes policy-makers in leprosy or infec
...
tious diseases in the ministries of health (especially but not limited to endemic countries), nongovernmental organizations, clinicians, pharmaceutical companies, donors and affected persons
more
Third Edition
This manual is designed primarily to assist managers of national malaria programmes and national reference laboratory responsible for quality assurance of malaria microscopy control. The information is also applicable to non-governmental organizations and funding agencies investing in quality manage
...
ment systems for malaria microscopy.
more
Philippines: National tuberculosis control program laboratory network strategic plan 2013-2016
Noel G. Macalalad, Ma. Cecilia G. Ama, Arthur B. Lagos et al.
Research Institute for Tropical Medicine National Tuberculosis Reference Laboratory
(2013)
C1
Weekly Epidemiological Record (WER), 17 September 2021, Vol. 96, No. 37 (pp. 445-460)
Good practice guide
Supporting community action on HIV, health and rights to end AIDS
Methods used by WHO to estimate the global burden of TB disease
P. Glaziou, C.Sismanidis, P. J. Dodd, et al.
World Health Organization; University of Sheffield
(2017)
C_WHO
30 October 2017
Surveillance Report
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.
more
