Social Determinants of Cervical Cancer Screening among Women Aged 35-64: A Quantitative Analysis of the Demographic and Health Survey Data, Haiti, 2016-2017


  • Jacques W. Clerville, MD, MPH School of Public Health, Georgia State University
  • Darius L. Fenelon, MD, MPH Zanmi Lasante, Partners in Health
  • Rajat D. Gupta, MBBS, MPH, PhDc Arnold School of Public Health, University of South Carolina


Objective: The objective of the study is to identify the social determinants of cervical cancer screening among women aged 35-44 in Haiti. Methods: We used Haiti’s Demographic and Health Survey data to identify social determinants of cervical cancer screening in Haiti among women aged 35-64. Results: We found that higher education attainment and household wealth were significantly associated with cervical cancer screening: higher education (AOR = 4.94, CI: 2.46-9.89) and secondary education (AOR = 2.28, CI:1.44-3.61); “richest” (AOR = 8.15, CI:3.97-16.72), “richer” (AOR = 4.38, CI:2.23-8.59), and “middle” (AOR =2.90, CI:1.53-5.49). Conclusion: Cervical cancer screening efforts should prioritize disadvantaged groups to address health disparities, strengthen access to screening, and provide optimal care.

Author Biographies

Jacques W. Clerville, MD, MPH, School of Public Health, Georgia State University


School of Public Health, Georgia State University

Currently a second-year student in the Doctor of Public Health (DrPH) program at Georgia State University in Atlanta, Georgia, United States (US). He holds a Doctor of Medecine (MD) degree from Université Notre d'Haiti in Port-au-Prince, Haiti and a Master of Public Health (MPH) degree in Epidemiology from the University of South Carolina in Columbia, South Carolina, US. He currently works with the US Centers for Disease Control and Prevention (CDC) as an epidemiologist. 

Darius L. Fenelon, MD, MPH, Zanmi Lasante, Partners in Health


Partners in Health

Experienced clinician and a result-oriented public health professional with over 15 years leading health programs that trigger global health delivery in Haiti. With proven leadership skills in management, supervision, and direct services that inspire others to perform in the context of limited resources, he has been key in accelerating progress towards universal access to prevention, treatment, and care and support services for programs focused.

Rajat D. Gupta, MBBS, MPH, PhDc, Arnold School of Public Health, University of South Carolina


Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina

Has more than five years of experience in cardiovascular disease epidemiology, cancer epidemiology, nutritional epidemiology, and health services research in both high-income and low- and middle-income country settings and published extensively in peer-reviewed journals, including the Lancet, Nature, BMJ Open, Plos One, and Biomed Central journals.

He has demonstrated expertise on applying causal inference methods  and acquired extensive experiences in statistical software including STATA, SAS, and R.

Rajat D. Gupta possesses a strong theoretical background and has attended advanced coursework on causal inference, mediation analysis, marginal structural model, structural nested model and propensity score matching.

He has worked on projects funded by the Gates Foundation, the World Health Organization (WHO), and UNICEF Bangladesh.

He currently serves  as an academic editor in the Plos Global Public Health and possesses extensive peer-review experience.

Lastly, he is currently a PhD candidate at the University of South Carolina.


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Original Research