The extremely high prevalence of HIV suggests an urgent need to allocate adequate resources for HIV prevention and treatment in rural areas. Effective monitoring of the epidemic in Africa needs to include efforts to strengthen sentinel surveillance in rural areas and strategies for the surveillance of migrants and mobile individuals.
Background: To present and compare population-based and antenatal-care (ANC) sentinel surveillance HIV prevalence estimates among women in a rural South African population where both provision of ANC services and family planning is prevalent and fertility is declining. With a need, in such settings, to understand how to appropriately adjust ANC sentinel surveillance estimates to represent HIV prevalence in general populations, and with evidence of possible biases inherent to both surveillance systems, we explore differences between the two systems. There is particular emphasis on unrepresentative selection of ANC clinics and unrepresentative testing in the population.
Background
New forms of HIV/AIDS therapy require new surveillance instruments to meet shifting public health demands. The Clinical Surveillance of HIV Disease (ClinSurv HIV) project was established in 1999 as a collaboration between major HIV treatment centres in Germany and the Robert Koch Institute (RKI). The project contributes to national HIV surveillance and focuses on the changing epidemiology of HIV/AIDS after the introduction of new therapies in 1995.
Methods
ClinSurv HIV is designed as an open multicentre observational cohort study of HIV‐infected patients. Anonymized data on diagnoses, treatment and laboratory parameters are collected in a standardized format. Data are currently sampled biannually via 11 centres specializing in HIV diagnosis and care within the legal framework of the German Protection against Infection Act [Infektionsschutzgesetz (IfSG)].
Results
A total of 14 874 patients were enrolled in the study by 30 June 2009. Of these, 10 221 patients (68.7%) were enrolled after 1 January 1999 and 6006 patients (40.4%) were known to have been diagnosed as positive for HIV before 1999. Evaluation indicators, such as the number of newly enrolled patients per half‐year period, loss to follow‐up, completeness of data per case, availability of data per possible clinical contact, and internal quality control parameters, show a very stable evolution in the cohort, which although open, can be observed. Comparison with the national HIV surveillance data suggests a high degree of representativeness according to major demographic variables.
Conclusion
Bearing in mind the obvious strengths and weaknesses discussed, the German ClinSurv HIV cohort provides a broad range of research opportunities in the field of HIV/AIDS both within Germany and in international collaborative research.
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