Utilize Data to Justify Sound Decisions

Evidence Statement

Through my coursework, I have developed strong skills in identifying, collecting, and analyzing public health data to make evidence-based decisions.

 In my PUBH 370: Epidemiology, I collected and organized demographic data on E. coli Outbreak Investigation by age and gender, created comparative histograms, and analyzed distribution trends to identify the affected population segment. By recognizing that young adult females represented the largest proportion of cases, I generated hypotheses regarding contaminated food sources, demonstrating my ability to use descriptive epidemiology and data visualization to guide outbreak response decisions.

In MATH 124: Fundamentals of Statistics, I designed a study using Chi-Squared Case Study on Dementia and Physical Activity “Dementia Patient Health 2023” dataset, applied a random sampling process, and conducted a Chi-Squared test to assess the independence of dementia and physical activity levels. This assignment demonstrates my competence in statistical reasoning, hypothesis testing, and interpreting p-values to inform conclusions. I confirmed that there was no significant association between physical activity and dementia within the sampled population, reinforcing the importance of objective statistical analysis before making health recommendations.

In my PUBH 240: Introduction to Public Health, I analyzed global and regional data from the World Health Organization on Environmental Health and Human Safety Paper, and other sources to examine links between environmental conditions and human well-being. I interpreted datasets on heat-related deaths, air pollution, and sanitation-related illnesses to conclude that maintaining ecological balance significantly reduces disease risk and enhances life expectancy. This project showcased my ability to synthesize secondary data, recognize patterns, and draw actionable conclusions for sustainable public health policies.

Collectively, these projects reflect my ability to identify reliable data sources, apply sound analytical methods, and draw meaningful conclusions to support evidence-based decision-making in public health. They demonstrate a clear understanding of how accurate data interpretation leads to effective health strategies and improved population outcomes.