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HSS: Data analysis and manuscript writing.
Analysis of 2010 HSS data indicates that HIV prevalence was >10% in seven states.
Modelling exercise to estimate the adult prevalence and burden of HIV in India using the HIV Sentinel Surveillance (HSS) data.
Collection and analysis of HSS data is considered to be a routine Health Department activity of which employees are kept informed of results.
Based on HIV sentinel surveillance (HSS) data and a set of epidemiological assumptions, estimates of HIV prevalence and burden in India have been derived.
HSS data indicate that at the national level, HIV prevalence among MSM overall is declining (from 12.3% in 2003 to 4.43% in 2010).
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In EPP, when a calibration factor is used, the overall curve determined on the basis of ANC HSS trend data which is scaled according to the calibration constant.
As per the HSS 2010 data, HIV prevalence among MSM is considerably high (>5%) in most of the group I, II, and III states, except for Kerala (0.4%), Puducherry (1.2%), Gujarat (3%), and Tamil Nadu (2.41%) (Table 1).
This paper presents the use of the HSS and multivariate data analysis to understand three anomalies commonly seen in microarray data: skew toward the green channel, dye separation, and high, variable background signal.
TX, YW, HSS, CY collected the data, helped analyze the data and assist in writing up the draft.
Conception and design: HSS, Analysis and interpretation of data: HSS, MSK, SAK, Drafting the article or revising it critically for important intellectual content: MSK, HSS, Final approval of the version to be published: HSS.
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