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5
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1
HIV/AIDS prevention and care among armed forces and UN peacekeepers: The Case of Eritrea
T. Nakari; D. Mathiot; G. Lescornec; et al.
UNAIDS (Joint United Nations Programme on HIVAIDS); African Union; H6 Partnership; Unicef; UNDP; et al.
(2003)
C2
UNAIDS Series: Engaging uniformed services in the fight against AIDS - Case Study 1
Fighting AIDS
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 resu
...
lts, 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
UNAIDS/99.31E (English original, June 1999)
1st revision, April 2000
Introduction to HIV, AIDS and Sexually Transmitted Infection Surveillance - Overview of the HIV/AIDS Epidemic with an Introduction to Public Health Surveillance
United States Department of Health and Human Services; Centers for Disease Control and Prevention (HHS-CDC); Global AIDS Program (GAP); et al.
United States Department of Health and Human Services; Centers for Disease Control and Prevention (HHS-CDC); Global AIDS Program (GAP); et al.
(2011)
C2
Participant Manual
February 2011
Edition 3.0
Psychatry & Pediatrics
Chapter I.3
HIV/AIDS treatment and care in Estonia
D. Raben; S. F. Jakobsen; F. Nakagawa; et al.
World Health Organization (Europe); WHO Collaborating Centre on HIV and Viral Hepatitis; Centre for Health & Infectious Disease Research (CHIP)
(2014)
C_WHO
The National HIV and AIDS stigma and discrimination Index
Ministry of Health; Maisha (National AIDS Control Council); UNDP; et al.
(2019)
C2
Summary Report
Accessed: 19.10.2019
Tanzania HIV/AIDS and Malaria Indicator Survey 2011-2012
Tanzania Commission for AIDS (TACAIDS); Zanzibar AIDS Commission (ZAC); National Bureau of Statistics (NBS); et al.
ICF International, et al.
(2013)
C1
The National AIDS Control Council (NACC) continues to strengthen partnerships with all stakeholders in the response to HIV and
...
AIDS in Kenya. While recognizing that there is no single preventive approach to reverse the spread of HIV, the faith sector comprising of Faith Communities (FCs) and Faith-Based Organizations (FBOs) have demonstrated sustained motivation and moral authority with resources and outreach capability to significantly reduce new HIV infections. In addition, they have the power to influence policy changes to address societal, cultural and structural factors that impede individuals’ capacity to prevent HIV infection. According to Kenya Demographic Health Survey (2014), over 97% of the Kenya population was reported to ascribe to religious affiliation.
more
Liberia: Demographic and Health Survey 2019-2020
Liberia Institute of Statistics and Geo-Information Services (LISGIS) Monrovia, Liberia
The DHS Program ICF
(2021)
C2
The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health p
...
rograms. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awareness and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
more
The Open AIDS Journal, 2012, 6, 245-258
The 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult
...
and childhood mortality; awareness and attitudes regarding HIV/AIDS; women’s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
more
HIV/AIDS treatment and care in Belarus
J. D. Lundgren; D. Raben; I. Eramova; V. Ilyenkova
World Health Organization (Europe); Centre for Heath & Infectious Disease Research
(2014)
C_WHO
Evaluation report
January 2014
