Dried blood spots (DBSs) on filter paper are being used increasingly in population-based human immunodeficiency virus (HIV) studies. This study evaluated the application of a BED enzyme immunoassay (EIA) on DBSs to estimate HIV incidence in a population-based study in India. The Calypte HIV-1 BED Incidence EIA was performed on 224 HIV-1-positive DBS samples, after screening 12 617 individuals from a population-based sample in Guntur district in the southern Indian state of Andhra Pradesh. The number of recently infected HIV cases was identified using this BED assay and was used to estimate the annual HIV incidence rate based on calculations and adjustment formulae suggested by the Centers for Disease Control and Prevention (CDC). The updated BED data management software provided by the CDC was used for analyses. Of the 224 HIV-1 antibody-positive DBS samples, 29 (12.95 %) were estimated by the BED HIV-1 assay to have been infected within the past 155 days. After adjusting for age, gender and rural/ urban distribution of the population, the annual incidence rate of HIV-1 infection was estimated to be 0.32 % (95 % confidence interval 0.20-0.44 %). This annual incidence was 18.6 % of the HIV prevalence of 1.72 % in this study. Thus, the BED assay revealed a higher incidence of HIV in this study than was expected from the prevalence. Correlation of the BED assay with panel testing and longitudinal incidence data in the Indian population is needed to calibrate it for use in India.
INTRODUCTIONIndia is now estimated to have about 2.5 million people living with human immunodeficiency virus (HIV) infection NACO, 2007; UNAIDS, 2007). HIV surveillance has mostly been limited to monitoring prevalence, as no direct measures of incidence have been available until recently (Wolday et al., 2007). To understand the recent changes in the HIV epidemic, it is necessary to estimate the number of new infections, as changes in HIV prevalence may not reflect trends in incidence (Karita et al., 2007). Laboratory methods for detecting recent HIV infections can enhance public health surveillance and prevention efforts. The data generated on HIV incidence would be relevant in depicting the current dynamics and trends of the epidemic, and will have significant implications, including evaluation of prevention efforts and informed allocation of resources for HIV prevention programmes.Several methods of incidence estimation, including longitudinal studies, back calculation, p24 antigen enzyme immunoassay (EIA) and viral RNA testing have been utilized in the past; however, these methods are tedious to perform, costly or problematic (Rutherford et al., 2000). Increasing interest in estimating the incidence of HIV-1 infection has led to the development of a sensitive/lesssensitive serological strategy using a high dilution (1 : 20 000) of HIV-1-positive serum, called the Serological Testing Algorithm for Recent HIV Seroconversion (STARHS), in 1998(Janssen et al., 1998 Although these assays work reasonably well with samples from HIV-1 subtype...