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Introduction to HIV, AIDS and Sexually Transmitted Infection Surveillance - Surveillance of Most-At-Risk Populations (MARPS)
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.
(2012)
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Participant Manual September 2012
Surveillance of Populations at High Risk for HIV Transmission
This document is written for medical doctors, clinical officers, medical assistants, nurses, midwives, health surveillance assistants (HSAs), and medical records clerks who are working in public and private sector health facilities in Malawi. It is
...
designed to be a practical guide for implementation of integrated HIV services.
more
ECDC MISSION REPORT 19–21 September 2016 ; 14–15 November 2016
Behavioural Surveillance - Surveillance of HIV Risk Behaviours
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.
(2009)
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Participant Manual
October 2009
Monitoring HIV impact using population-based surveys
UNAIDS (Joint United Nations Programme on HIVAIDS); World Health Organization (WHO)
UNAIDS (Joint United Nations Programme on HIVAIDS); World Health Organization (WHO)
(2015)
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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
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 miscl
...
assification 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
West: Drada & Nagar Haveli, Daman & Diu, Goa, Gujarat, Maharashtra
South: Andhra Pradesh & Telangana, Karnataka, Kerala, Puducherry, Tamil Nadu
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple d ... ata sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention. more
South: Andhra Pradesh & Telangana, Karnataka, Kerala, Puducherry, Tamil Nadu
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple d ... ata sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention. more
2nd Generation HIV Surveillance in Pakistan, Round 5
Meeting Report ECDC/WHO Joint Meeting on European HIV/AIDS Surveillance 10-11 March 2016, Bratislava
ECDC European Center for disease prevention and control; World Health Organization (Europe); EACS European AIDS Clinical Society
(2019)
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Accessed: 20.11.2019
Please download the latest report from the official website:
http://www.nacp.go.tz/site/publications/epidemiology-and-research-coordination
Northern: Chandigarh, Delhi, Haryana, Himachal Pradesh, Jammu & Kashmir, Punjab, Rajasthan, and Uttarakhand
Central: Chhattisgarh, Madhya Pradesh and Uttar Pradesh
Eastern: Andaman & Nicobar, Bihar, Jharkhand, Odisha and West Bengal
This technical document consists of epidemiological ... profiles (fact-sheets) for States and districts based on information available from multiple data sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention. more
Central: Chhattisgarh, Madhya Pradesh and Uttar Pradesh
Eastern: Andaman & Nicobar, Bihar, Jharkhand, Odisha and West Bengal
This technical document consists of epidemiological ... profiles (fact-sheets) for States and districts based on information available from multiple data sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention. more
Interim WHO clinical staging of HIV/AIDS and HIV/AIDS case definitions for surverillance
World Health Organization
(2005)
C_WHO
Treat 3 Million by 2005
WHO/HIV/2005.02
African Region
