Literature DB >> 15930836

New strategies for HIV surveillance in resource-constrained settings: an overview.

Theresa Diaz1, Kevin De Cock, Tim Brown, Peter D Ghys, J Ties Boerma.   

Abstract

Additional funding recently became available to help resource-constrained countries scale up their HIV treatment and prevention activities. This increased funding is accompanied by an increased demand for accountability from stakeholders. Many countries will need to make substantial improvements in their current HIV surveillance methods to monitor the collective national impact of these treatment and prevention initiatives. However, whereas most resource-constrained countries have monitored the prevalence of HIV, they have collected little information on other events in the HIV disease process, such as HIV incidence, rate of HIV drug resistance, number of deaths due to AIDS and only modest emphasis has been placed on AIDS reporting in generalized epidemics, resulting in severe underreporting. In addition, data on mortality trends are often not gathered. Furthermore, less than half of the countries with low-level/concentrated epidemics have tailored their surveillance systems to the local epidemic, behavioral surveillance is often not present, an integrated analysis of data is not widespread, and data are rarely used to inform policy. In January 2004, a conference was convened in Addis Ababa, Ethiopia, to examine new strategies for surveillance in resource-constrained countries, and their use in monitoring and evaluating HIV activities. This supplement summarizes the newest approaches and lessons learned for HIV/AIDS surveillance, based on presentations and discussions from that conference. This article provides an overview of HIV/AIDS surveillance in resource-constrained settings and discusses the history, current approaches, and future directions for HIV/AIDS surveillance in generalized and low-level/concentrated epidemics.

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Year:  2005        PMID: 15930836     DOI: 10.1097/01.aids.0000172871.80723.3e

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  17 in total

1.  Strengthening HIV surveillance: measurements to track the epidemic in real time.

Authors:  Usangiphile E Buthelezi; Candace L Davidson; Ayesha Bm Kharsany
Journal:  Afr J AIDS Res       Date:  2016-07       Impact factor: 1.300

2.  HIV surveillance systems in the Asia Pacific region.

Authors:  Virginia Loo; Tobi Saidel; Amala Reddy; Khin Cho Win Htin; Ye Yu Shwe; Bob Verbruggen
Journal:  Western Pac Surveill Response J       Date:  2012-09-28

3.  Use of antenatal clinic surveillance to assess the effect of sexual behavior on HIV prevalence in young women in Karonga district, Malawi.

Authors:  Amelia Catharine Crampin; Andreas Jahn; Masiya Kondowe; Bagrey M Ngwira; Joanne Hemmings; Judith R Glynn; Sian Floyd; Paul E Fine; Basia Zaba
Journal:  J Acquir Immune Defic Syndr       Date:  2008-06-01       Impact factor: 3.731

4.  Sources of data for improved surveillance of HIV/AIDS in China.

Authors:  Yujiang Jia; Fan Lu; Xinhua Sun; Sten H Vermund
Journal:  Southeast Asian J Trop Med Public Health       Date:  2007-11       Impact factor: 0.267

5.  Identification of primary HIV-1C infection in Botswana.

Authors:  V Novitsky; E Woldegabriel; C Wester; E McDonald; R Rossenkhan; M Ketunuti; J Makhema; G R Seage; M Essex
Journal:  AIDS Care       Date:  2008-08

6.  Risk Factor Detection as a Metric of STARHS Performance for HIV Incidence Surveillance Among Female Sex Workers in Kigali, Rwanda.

Authors:  Sarah L Braunstein; Janneke H van de Wijgert; Joseph Vyankandondera; Evelyne Kestelyn; Justin Ntirushwa; Denis Nash
Journal:  Open AIDS J       Date:  2012-09-07

7.  Using verbal autopsy to assess the prevalence of HIV infection among deaths in the ART period in rural Uganda: a prospective cohort study, 2006-2008.

Authors:  Billy N Mayanja; Kathy Baisley; Norah Nalweyiso; Freddie M Kibengo; Joseph O Mugisha; Lieve Van der Paal; Dermot Maher; Pontiano Kaleebu
Journal:  Popul Health Metr       Date:  2011-08-04

8.  Estimating HIV prevalence from surveys with low individual consent rates: annealing individual and pooled samples.

Authors:  Lauren Hund; Marcello Pagano
Journal:  Emerg Themes Epidemiol       Date:  2013-02-27

9.  Time series analysis comparing mandatory and voluntary notification of newly diagnosed HIV infections in a city with a concentrated epidemic.

Authors:  Juliana M Reyes-Urueña; Patricia García de Olalla; Santiago Perez-Hoyos; Joan A Caylà
Journal:  BMC Public Health       Date:  2013-04-12       Impact factor: 3.295

10.  Assessing the assumptions of respondent-driven sampling in the national HIV Behavioral Surveillance System among injecting drug users.

Authors:  Amy Lansky; Amy Drake; Cyprian Wejnert; Huong Pham; Melissa Cribbin; Douglas D Heckathorn
Journal:  Open AIDS J       Date:  2012-09-07
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