The document will provide information for Ministries of Health and hospital sentinel sites on why and how to determine the denominator of at-risk children <5 years of age and rate of meningitis hospitalizations for a sentinel hospital site conducting IB-VPD surveillance. Such a methodology is curren...tly unavailable and this estimation is critical to enable interpretation of surveillance data, particularly pre- and post- vaccine introduction
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PLoS Med 15(7): e1002615. https://doi.org/10.1371/journal. pmed.1002615
Kulkarni et al. The Journal of Headache and Pain (2015) 16:67 DOI 10.1186/s10194-015-0549-x
Most African Countries Avoid Major Economic Loss but Impact on Guinea, Liberia, Sierra Leone Remains Crippling
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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Key findings of the 2018 edition
This compendium developed by UNICEF provides details of different handwashing station designs and estimated cost.
WHO estimates that in 2015, 257 million people were living with chronic hepatitis B virus (HBV) infection worldwide, and that 900 000 died from HBV infection, mostly through the development of cirrhosis and hepatocellular carcinoma. Worldwide, the majority of persons with chronic hepatitis B infecti...on and associated deaths in adulthood acquired their infection at birth through mother-to-child perinatal transmission or in early childhood.
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The boundaries and names shown and the designations used on this map do not imply the expression
of any opinion whatsoever on the part of the World Health Organization concerning the legal status
of any country, territory, city or area or of its authorities, or concerning the delimitation of its f...rontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not
yet be full agreement.The boundaries and names shown and the designations used on this map do not imply the expression
of any opinion whatsoever on the part of the World Health Organization concerning the legal status
of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers
or boundaries. Dotted lines on maps represent approximate border lines for which there may not
yet be full agreement.
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Every day in 2020, approximately 800 women died from preventable causes related to pregnancy and childbirth - meaning that a woman dies around every two minutes.
Sustainable Development Goal (SDG) target 3.1 is to reduce maternal mortality to less than 70 maternal deaths per 100 000 live births by ...2030.
The United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG) – comprising WHO, the United Nations Children’s Fund (UNICEF), the United Nations Population Fund (UNFPA), the World Bank Group and the United Nations Department of Economic and Social Affairs, Population Division (UNDESA/Population Division) has collaborated with external technical experts on a new round of estimates covering 2000 to 2020. The estimates represent the most up to date, internationally-comparable MMEIG estimates of maternal mortality, using refined input data and methods from previous rounds.
The report presents internationally comparable global, regional and country-level estimates and trends for maternal mortality between 2000 and 2020.
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This article considers the current public health perspective on cutaneous leishmaniasis (CL) and its implications for incidence, prevalence, and global burden of disease calculations. CL is the most common form of leishmaniasis and one of a small number of infectious diseases increasing in incidence... worldwide [1] due to conflict and environmental factors in the Middle East (“Old World”) and the Americas (“New World”)—regions where it is most prevalent.
Recently, the disease has reached hyperendemic levels in the conflict zones of the Syrian Arab Republic, Iraq, and Afghanistan while simultaneously affecting refugees from those regions . Nevertheless, CL is not seen as a priority for policymakers because it is not life limiting. This is evidenced by a lack of commitment in recent years to preventive campaigns and patient provision (limited diagnostic capacity, knowledge of treatment, drug availability) in a number
of endemic countries.
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Estimates of government spending and development assistance for tuberculosis exist, but less is known
about out-of-pocket and prepaid private spending. We aimed to provide comprehensive estimates of total spending on
tuberculosis in low-income and middle-income countries for 2000–17.
Background:Tracking aid fl ows helps to hold donors accountable and to compare the allocation of resources in relation to health need. With the use of data reported by donors in 2015, we provided estimates of offi cial development assistance and grants from the Bill & Melinda Gates Foundation (coll...ectively termed ODA+) to reproductive, maternal, newborn, and child health for 2013 and complete trends in reproductive, maternal, newborn, and child health support for the period 2003–13. Methods: We coded and analysed fi nancial disbursements to reproductive, maternal, newborn, and child health to all recipient countries from all donors reporting to the creditor reporting system database for the year 2013. We also revisited disbursement records for the years 2003–08 and coded disbursements relating to reproductive and sexual health activities resulting in the Countdown dataset for 2003–13. We matched this dataset to the 2015 creditor reporting system dataset and coded any unmatched creditor reporting system records. We analysed trends in ODA+ to reproductive, maternal, newborn, and child health for the period 2003–13, trends in donor contributions, disbursements to recipient countries, and targeting to need.
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