Clinical Epidemiology and Global Health (Jan 2021)

Levels and trend of HIV prevalence among pregnant women in Tamil Nadu: Analysis of data from HIV sentinel surveillance (2003–2019)

  • Aridoss Santhakumar,
  • Jaganathasamy Nagaraj,
  • Joseph K. David,
  • Mathiyazhakan Malathi,
  • Balasubramanian Ganesh,
  • Natesan Manikandan,
  • V.M. Padmapriya,
  • Kaliyaperumal Kanagasabai,
  • Govindasamy Elavarsu,
  • Muthusamy Ravi,
  • Bathyalan Nagaraju,
  • Jayaraman Prabakaran,
  • Pradeep Kumar,
  • Shobini Rajan,
  • Arumugam Elangovan

Journal volume & issue
Vol. 9
pp. 280 – 288

Abstract

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Introduction: HIV Sentinel Surveillance (HSS) among pregnant women is a key indicator to estimate the HIV prevalence in the general population, as nearly 85% of HIV transmission in India is linked to the heterosexual route. Tracking the levels and trends of the HIV prevalence at state, regional, and district levels help to prioritize and facilitate a tailor-made intervention. Here, we analyze the region and district-wise levels and trends of HIV prevalence among pregnant women attending the antenatal clinics (ANC) from 2003 to 2019 in Tamil Nadu. Methods: Eleven rounds of HSS data collected from pregnant women in Tamil Nadu, from 2003 to 2019 were analysed. Consistent sites were grouped into four geographical regions (North, Central, West and South), a total of 67 sites including 33 urban 31 rural, and 3 private sites. Chi-square trend test used to find linear trends and spatial analysis used to understand the geographical distribution of HIV prevalence over the years. Results: In total, 2,77,444 blood samples were collected during HSS from 2003 to 2019. In 2019, the state HIV prevalence was 0.18 (95% CI: 0.13–0.23); region-wise prevalence was 0.21, 0.07, 0.32 and 0.12 in North, Central, West and South respectively. HIV prevalence in Tamil Nadu had significantly declined since 2003, which however, was not significant in all districts; with inter-district fluctuations. Conclusion: HIV interventions have to be strengthened in the districts with inconsistent trends, specifically the West region. This requires a more detailed analysis of region-specific contextual factors associated with the transmission risk.

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