Date of Award
January 2023
Document Type
Open Access Thesis
Degree Name
Master of Public Health (MPH)
Department
School of Public Health
First Advisor
Daniel Weinberger
Abstract
Background: Clostridioides difficile infection (CDI) is classified as an urgent threat to public health and has been increasing in incidence and severity. CDI is commonly considered hospital- acquired; however, rates of community-associated CDI (CA-CDI) have been increasing and now make up more than 50% of cases reported. Risk factors for CA-CDI exposure are poorly understood and inadequately studied. This study uses regression to evaluate if community characteristics are associated with CA-CDI incidence at the census tract level in New Haven County. The goal is to determine if where someone lives in proximity to these potential risk factors may contribute to their risk of community-associated C. difficile infection.Methods: Potential risk factors were included as census tract level covariates in a negative binomial regression model. The model was fit to CA-CDI incident case data, obtained from the existing ongoing surveillance database of laboratory-confirmed CDI cases in New Haven County. Stepwise model selection by Akaike Information Criterion (AIC) was used to evaluate which covariates best predicted CA-CDI case counts. Results: Older age and female sex were the only significant risk factors for CA-CDI. Number of hospitals, nursing facilities, livestock farms, and sewage treatment facilities per census tract, as well as crowding and urban/rural census tract indicators were not found to be significant risk factors for CA-CDI. Conclusion: The findings suggest that where someone lives may not be a good predictor of risk of community-associated C. difficile infection. Age and sex were the only significant risk factors. Further studies focused more on individual behaviors and contact with environmental and human sources are needed to continue research on potential unknown risk factors for CA-CDI.
Recommended Citation
Litwak, Hannah Liat, "Evaluating Environmental Risk Factors For Community-Associated C. Difficile Infection In New Haven County, Connecticut, 2016-2021" (2023). Public Health Theses. 2295.
https://elischolar.library.yale.edu/ysphtdl/2295
This Article is Open Access
Comments
This is an Open Access Thesis.