Identifying Risk Factors and Spatial Clustering of HIV Infection Among Female Sex Workers in India

Authors

  • Arumugam Elangovan, MSc, MTech ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Vasna Joshua, PhD ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Aridoss Santhakumar, MSW, MPhil ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Balasubramanian Ganesh, PhD ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Nagaraj Jaganathasamy, MSc, PGDCA ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Joseph K. David, PhD Procrea Fertility Centre, 955 Major Mackenzie Drive West, Vaughan, Ontario, Canada L6A 4P9
  • Malathi Mathiyazhakan, PhD ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Manikandan Natesan, PhD ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • VM Padmapriya, MDS ICMR-National Institute of Epidemiology, R-127, 2nd Main Road, TNHB, Ayapakkam, Chennai – 600 077, Tamil Nadu, India
  • Pradeep Kumar BHMS National AIDS Control Organization, Ministry of Health and Family Welfare, Government of India, 36 Janpath road, New Delhi-110 001, India

DOI:

https://doi.org/10.21106/ijtmrph.145

Keywords:

Female Sex Worker, Kriged Map, Factor Analysis, Principle Component Analysis, HIV, Sexually Transmitted Infections

Abstract

Background: The human immunodeficiency virus (HIV) epidemic in India is generally considered to be more concentrated, with the focus on high-risk groups including female sex workers (FSWs). The Integrated Biological and Behavioral Surveillance (IBBS), the first nationwide surveillance conducted during 2014-2015, collected many key indicators, including indicators related to HIV/STI transmission. The purpose of this study was to develop an index score for each domain surveyed and to identify focus areas for interventions among FSWs.

Methods: The study population consisted of 27,007 FSWs. Forty high-risk related covariates of HIV/STI transmission, demographic characteristics, sexual history, condom practices, knowledge of HIV/STI and biological variables were considered. The original data set was examined using the correlation matrix and was reduced to 15 highly-correlated factors using principal component analysis. The factors were further improved using varimax rotation and the percentage of variation was used as weights to obtain the initial score for each domain, which were then standardized for comparison. Bartlett’s test of sphericity was examined before the factor extraction.

Results: Six factors were extracted, which together explained about 73% of the total variation. The factors were: (1) more number of clients; (2) younger FSW and started selling sex at younger age; (3) experiencing condom breakage; (4) having occasional clients and poor HIV/AIDS knowledge; (5) illiteracy; and (6) a longer period of sex work. Six domains with an index score of above 80, from the states of Maharashtra, Rajasthan, Arunachal Pradesh, Uttar Pradesh, and Jharkhand need greater intervention.

Conclusion and Implications for Translation: FSWs’ current age, age at commencement of sex work, and the number of clients were the indicators most-associated with HIV infection. Therefore, program and policy interventions should focus on FSWs who are younger than <25 years, who started selling sex at <22 years, and who have >10 clients.

 

Copyright © 2021 Elangovan et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.

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How to Cite

Arumugam, E., Joshua, V., Aridoss, S., Balasubramanian, G., Jaganathasamy, N., David, J. K., Mathiyazhakan, M., Natesan, M., VM, P., & Kumar, P. (2021). Identifying Risk Factors and Spatial Clustering of HIV Infection Among Female Sex Workers in India. International Journal of Translational Medical Research and Public Health, 5(1), 41–53. https://doi.org/10.21106/ijtmrph.145

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