During the 17 years since Surgical approaches to the urogenital manifestations of lymphatic filariasis was first published, there has been heightened awareness of the physical, economic and emotional burden of the genitourinary manifestations of fil...ariasis. With the impetus to provide better guidance for care of those suffering from LF, this update was both warranted and timely.
At the outset, the Committee noted that barriers continue to exist in care of patients affected by LF-associated morbidity. These barriers include lack of information for patients as well as for many healthcare providers, including general surgeons and others within health systems
This update offers a new consensus of the Committee regarding the staging of hydroceles caused by LF, also known as “filariceles”. It recommends integrating LF surgery with other efforts to strengthen surgical care by assessing health facilities for their surgical readiness using the WHO surgical assessment tool or “SAT”. It also recommends integratinghernia surgery with hydrocele surgery and integrating standards for prevention of surgical site infection (SSI).
The update revises recommendations for standard procedures and processes, offers an algorithm for diagnosis (including the use of ultrasound) and discusses postoperative care. It recommends collecting data using the staging and grading system described by Capuano and Capuano along with other metrics for public health management of LF.
A multifaceted approach has therefore been recommended to coordinate public health outreach with national surgical planning and local health systems to include supporting partners such as nongovernmental organizations. Surgical camps with mobile teams, as well as training of personnel at DCP3 “first level” or WHO Level II hospitals (depending on region and resources), have important roles for reducing LF morbidity.
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The Event-based Surveillance Framework is intended to be used by authorities and agencies responsible for
surveillance and response. This framework serves as an outline to guide stakeholders inter...ested in implementing
event-based surveillance (EBS) using a multisectoral, One Health approach. To that end, the document is arranged
in interlinked chapters and annexes that can be modified and adapted, as needed, by users.
This is a revised version of the original “Framework for Event-based Surveillance” that was published in 2018. This
framework does not replace any other available EBS materials, but rather builds on existing relevant or related
documents and serves as a practical guide for the implementation of EBS in Africa. This framework is aligned with
the third edition of the WHO Joint External Evaluation for the following indicators: strengthened early warning
surveillance systems that are able to detect events of significance for public health and health security (Indicator
D2.1); improved communication and collaboration across sectors and between National, intermediate and local
public health response levels of authority regarding surveillance of events of public health significance (Indicator
D2.2); and improved national and intermediate-level capacity to analyse data (Indicator D2.3). As countries begin
to implement and demonstrate EBS functionality they will ensure an increase in JEE scores and progress towards
meeting the requirements outlined in the IHR3F
Additionally, in African Union Member States that have adopted the Integrated Disease Surveillance and
Response (IDSR) strategy, this document is a complement to and can enhance the implementation of IDSR,
especially for the 3rd edition (2019) that includes components related to EBS.
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The aim of the Annual Inspection Report is to present findings of public sector health establishments inspected by the OHSC to monitor compliance with the National Core Standards (NCS) during the 2016/2017 financial year in South Africa.
The NCS de...fine fundamentals for quality of care based on six dimensions of quality: Acceptability,Safety, Reliability, Equity, Accessibility, and Efficiency.
The NCS structured assessment tools were used to collect data during inspections across the seven domains namely: Patient Rights; Patient Safety, Clinical Governance and Clinical Care; Clinical Support Services; Public Health; Leadership and Governance; Operational Management and Facilities and Infrastructure. A total of 851 routine inspections were conducted with 201 of these facilities re-inspected. Inspection data was captured on District Health Information System (DHIS) data entry forms and exported for analysis to Statistical Analysis Software (SAS) version 9.4.
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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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Reporting period: January 2014 – December 2014
The human immunodeficiency virus (HIV) epidemic in Myanmar is concentrated among men who have sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW). HIV prevalence in th...e adult population aged 15 years and older was estimated at 0.54% in 2014. But data from HIV Sentinel Sero-Surveillance (HSS) indicates higher prevalence in 2014 among key populations: FSW 6.3%, MSM 6.6% and PWID 23.1%. Compared to 2012 data, the prevalence has declined from 7.1% in FSW and 8.9% in MSM, but has increased from 18% in PWID.
Epidemiological modelling suggests that in 2014 there were around 212,000 people living with HIV (PLHIV) in Myanmar, 34% of whom were females. Nearly 11,000 people died of HIV-related illnesses, compared to approximately 15,000 in 2011. An estimated 9,000 new infections occurred in 2014.
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FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY
March 2021
This report presents the key findings of the NFHS-5 survey in Sikkim, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5), ...the fifth in the NFHS series, provides information on population, health, and nutrition for India and each state and union territory.
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May 2021
This report presents the key findings of the NFHS-5 survey in Telangana, followed by detailed tables and an appendix on sampling errors. The 2019-21 National Family Health Survey (NFHS-5),... the fifth in the NFHS series, provides information on population, health, and nutrition for India and each state and union territory.
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DHS Further Analysis Reports No 102
DHS Working Papers No. 93
DHS Further Analysis Reports No. 103
DHS Working Papers No. 92
Department of Behavioural Medicine, Lagos State University College of Medicine Ikeja, Lagos Nigeria
Global Mental Health (2015), 2, e5, page 1 of 12. doi:10.1017/gmh.2015.8;
Received 29 January 2015; Revised 8 April 2015; Accepted 15 April 2015
Gaps in data covering refugees, asylum seekers, migrants and internally displaced populations are endangering the lives and wellbeing of millions o...f children on the move, warned five UN and partner agencies today. In 'A call to action: Protecting children on the move starts with better data', UNICEF, UNHCR, IOM, Eurostat and OECD together show how crucial data are to understanding the patterns of global migration and developing policies to support vulnerable groups like children.
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This third edition of the National Gender Statistics Report provides the updated sex-disaggregated data in twelve fields: Population and Youth; Education; ...>Health and Nutrition; Economic Activity and time use; Poverty & Social Protection; Justice & Human rights; Environment and Natural Resources; Decisionmaking and Public life; Infrastructure, ICT and Media; Trade and Business and Industry; Agriculture, Livestock and Forestry, and lastly the Income and Access to Finance. It should be noted that this report takes into account almost all quantitative indicators of the United Nations Minimum Set of Gender Indicators (UNMSGI) as developed by the United Nations Statistical Division (UNSD) and some of the approved quantitative SDGs gender related indicators.
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