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Theses

Many students, at YSPH and other nearby universities, choose to complete their thesis with the EIP using our large datasets on various pathogens that span multiple years. You can find a complete list of our research projects and datasets under the “Projects” section on our website. Check out the EliScholar website if you are interested in reading published EIP research. Below are examples of actual theses by YSPH students that have been written using EIP data.

Examples of Student Thesis Projects Completed with the EIP:

  • Comparing HPV Vaccination Uptake In Democrat And Republican Us States Using Presidential Elections Voting Patterns In 2016 And 2020.
  • Real-World Rollout Of Injectable Antiretrovirals For Hiv Prevention And Treatment: Understanding Predictors Of Early Adoption.
  • Effect Of A Weight-Loss Intervention On Oxidative Stress Biomarkers Among Breast Cancer Survivors In The Lifestyle, Exercise, And Nutrition (lean) Study.
  • The impact of COVID-19 interventions on non-Typhoidal Salmonella incidence and risk factors in Connecticut, 2015-2022.
  • Is the social vulnerability index (SVI) an accurate predictor of risk of hospitalization with a viral respiratory pathogen?
  • Prevalence and Genetic Determinants of Vancomycin resistance of Clostridioides difficile isolates in Connecticut.
  • Evaluating Environmental Risk Factors for Community-Associated C. difficile Infection in New Haven County, Connecticut.
  • Trends in Antimicrobial Resistant non-Typhoidal Salmonella before and after the Food and Drug Administration’s Guidance for Industry #213, United States 2013-2020.
  • Modeling the Effects of Climate Factors on the Incidence of Future Campylobacter Infections in Connecticut. EMD Student on Healthcare Personnel Vaccine Effectiveness Project.
  • Assessing the Impact of Healthcare Access on Delayed or Missed Adolescent Vaccinations for Tdap, Meningococcal, and HPV Vaccines Among Adolescents 17 Years of Age in the U.S.
  • Screening for Legionnaires’ Disease: A Predictive Diagnostic Model for Improving Health and Economic Outcomes.
  • Use of whole genome sequencing to determine how the gut microbiome and antibiotic resistome of individuals with incident Clostridium difficile infection influences the risk for recurrence.