2014
DOI: 10.1016/j.hivar.2014.05.002
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The history and impact of HIV&AIDS. A decade of INDEPTH research

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Cited by 6 publications
(6 citation statements)
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“…Human immunodeficiency virus (HIV) causes acquired immunodeficiency syndrome (AIDS) and is transmitted mainly by unprotected sexual intercourse or use of unclean syringes [126].…”
Section: Immunosensors For Detection Of Pathogensmentioning
confidence: 99%
“…Human immunodeficiency virus (HIV) causes acquired immunodeficiency syndrome (AIDS) and is transmitted mainly by unprotected sexual intercourse or use of unclean syringes [126].…”
Section: Immunosensors For Detection Of Pathogensmentioning
confidence: 99%
“…Studies from the mid-1980s in Africa found that heterosexuals of both sexes in Zaire (now The Democratic Republic of Congo) [ 2 ] and Rwanda [ 3 ] were affected. Detailed overviews of the development of the HIV epidemic in Africa have been described elsewhere and reinforce the interplay between disease, culture and society [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Together with HIV treatment cohorts, Health and Demographic Surveillance Systems (HDSS) have made important contributions to our understanding of the HIV epidemic and the impact of interventions against it (13). This article discusses innovations in data collection in HDSS to create novel opportunities to generate data on the HIV treatment cascade and to establish the causal impacts of policies and interventions intended to improve progression through the cascade.…”
Section: Introductionmentioning
confidence: 99%
“…To establish causal relationships related to the HIV treatment cascade, the following are needed: (1) data on cascade exposures and outcomes, (2) the ability to link these exposure and outcome data within relevant units of observation, and (3) data structures and approaches sufficient for causal inference. Here, we focus on innovations in building the data infrastructure to enable causal analyses of the HIV treatment cascade using health systems and routine treatment cohort data; Bor et al’s article in this issue focuses on novel analytical approaches to establish causality in quasi-experimental studies of interventions to improve the HIV treatment cascade.…”
Section: Introductionmentioning
confidence: 99%