List of works
Presentation
Date presented 04/17/2025
Student Scholars Symposium and Faculty Research Showcase, 04/17/2025, University of West Florida, Pensacola, Florida
Conference poster
Effective use of AI tools in map-making workflows for visualizing epidemiological data
Date presented 10/27/2024
apha 2024: Rebuilding Trust in Public Health and Science, 10/27/2024–10/30/2024, Minneapolis, MN
In 2024, Google rolled out AI Overviews, placing an AI chatbot in front of every user during Google searches. Given the public's awareness of these AI tools, it is important for public health professionals to incorporate these tools into their data visualization workflows to create effective visualizations for public-facing communications.
Compare methods for effective priming of AI tools to generate improvement suggestions for created maps. Demonstrate tips and tricks to attain the full potential of AI tools in the map-making process for epidemiological data. The Department of Public Health formed a multidisciplinary faculty/student team to explore the capabilities of a suite of AI tools in designing and evaluating epidemiological maps derived from data coded at country, state, city, and census tract-level levels. Representative data sets included variables for crime, disease occurrence, and medical testing facility locations.
Strategies for effectively using Chat GPT 3.5 and Google Gemini were developed based on several map types created by faculty and students using Google Geo Charts or Excel 3D Maps. Tips for priming AI tools in the process of designing and interpreting public-facing epidemiological maps to ensure equity and accessibility were created, alongside guidance on recognizing AI hallucinations.
Epidemiological data is commonly visualized with publicly distributed maps, and utilizing AI tools in the map-making process will ensure thorough, well-designed displays. Incorporating AI tools into data visualization workflows provides students, faculty, and public health professionals with additional foundational knowledge to ensure generated maps contribute to building trust in public health.
Journal article
Published 04/13/2022
The journal of practice teaching & learning, 19, 1/2, 87 - 113
Health promotion programmes aimed at the involvement of men are implemented in a complex cultural and socio-demographic context that reifies persistent unequal gender relations. The explanations and evidence for the mechanisms by which male involvement facilitates health and wellness, are, however, less clear. Drawing on findings from a qualitative systematic review of peer-reviewed studies, this article synthesises the literature on health, social policy, and programme interventions for improving male partner involvement to promote sexual and reproductive health, HIV and AIDS health outcomes in sub-Saharan Africa (SSA). Findings suggest that combining approaches such as mass education campaigns and health and social care programmes, targeting both men and women, improves male participation. Finally, enhancing participation of both men and women in the planning, implementation, and evaluation of health program programmes, can lead to positive gender role transformations and positive health and social care outcomes in Sub-Saharan Africa.
Journal article
Published 2020
BMC Public Health, 20, 1121
Background: Demographic and anthropometric factors associated with the age at diagnosis of diabetes have not been extensively studied. Much of the literature using anthropometric measures has been associated with other health factors such as obesity and coronary heart disease. The purpose of this study was to assess the relationship between different sets of anthropometric factors and age of diabetes diagnosis in the United States.
Methods: Using the NHANES 2015–2016 data set, weighted linear regression analysis was performed on observations from 600 qualified individuals with diabetes to study associations between anthropometric and demographic factors and the age of diabetes diagnosis.
Results: Results of our analysis support the evidence of significant relationships between the anthropometric characteristics and demographic factors and age at diabetes diagnosis. Specifically, age at diagnosis of diabetes is predicted to decrease by 1.03 (p < 0.01) and 0.91 (p < 0.01) years when BMI and upper leg length go up by one unit each, respectively. Similarly, age at diagnosis of diabetes decreases by 0.02 years and by 1.72 years when refrigerated glucose serum increases by 1 mg/dL (p<0.05) and when household size increases by one person, respectively. Male respondents were diagnosed with diabetes 3.41 years later than their female counterparts. Conversely, age at diagnosis of diabetes increases by 1.24 years when the average sagittal abdominal diameter goes up by 1 cm (p<0.05). In addition, Mexican American respondents were diagnosed 5.00years younger than the non-Hispanic White counterparts.
Conclusions: Our findings show that anthropometric factors, including BMI, refrigerated glucose serum and upper leg length increase have an inverse linear association with age of diabetes diagnosis. The results of this study can help improve the efficiency of the methods of health professionals attempting to lower the rate of diabetes diagnoses.
Abstract
Data exploration and engagement strategies for just-in-time tutoring and promoting active learning
Published 2020
, 19
2020 Florida Chapter Annual Meeting: American Statistical Association: March 6-7, 2020, 03/06/2020–03/07/2020, University of West Florida, Pensacola, Florida
Journal article
Differences in breast and cervical cancer screening among U.S. women by nativity and family history
Published 2020
American Journal of Preventive Medicine, 59, 578 - 587
Introduction: System-level factors such as poor access to health services can help explain differential uptake in breast and cervical cancer screening between U.S.- and foreign-born women. However, few studies have explored the roles of family history and perceived risk of these cancers on screening rates. To address these gaps, this study investigates whether a family history of cancer, perceived risk, and system-level factors independently and additively predict differential screening rates of breast and cervical cancer between U.S.-born and foreign-born women living in the U.S. Methods: Data were analyzed in 2019 from the 2015 National Health Interview Survey. Descriptive and multivariable logistic regression modeling was performed to test whether there were differences in breast and cervical cancer screening within and between the 2 groups and whether family history of cancer and perceived risk of breast cancer were predictors of uptake. Results: The sample comprised women aged 21−74 years (n=14,047). The mean age of the sample was 45.5 (SD=14.8 years). The majority of the women were U.S.-born (77.5%). U.S.- and foreign-born women had more mammograms and Pap tests with a usual source of care (p<0.001) and insurance (p<0.001). Healthcare access and utilization factors were also predictive for both groups of women. Data analyses were conducted in 2019. Conclusions: These findings are consistent with previous work. Access and healthcare utilization were associated with screening uptake. However, differences in risk perception, family history of breast and cervical cancers, and screening uptake were found between U.S.- and foreign-born women.
Book chapter
Published 2019
Bioactive Food as Dietary Interventions for Arthritis and Related Inflammatory Diseases, 37 - 49
Other
Socioeconomic Status, Family Functioning and Delayed Care Among Children With Special Needs
Published 08/20/2018
Social Work in Public Health, 33, 6, 366 - 381
Parents of children with special healthcare needs (CSHCN) face tremendous stress in caring for their children. Families of CSHCN face increased barriers to health services as evidence also reflects the influence of socioeconomic factors on access. This study investigates the impact of socioeconomic factors and family functioning on delayed care. Descriptive, bivariate, and adjusted multivariate logistic regression were performed using sampling weights. findings suggest that family dynamics are more impactful on delayed care than socioeconomic predictors. Promoting family-centered care that incorporates social support for families to reduce barriers is essential for improved quality of life and health outcomes.
Journal article
Published 2018
BMC Complementary and Alternative Medicine, 18
Background: Although a quarter of Americans are estimated to have multiple chronic conditions, information on the impact of chronic disease dyads and triads on use of complementary and alternative medicine (CAM) is scarce. The purpose of this study is to: 1) estimate the prevalence and odds of CAM use among participants with hypercholesterolemia, hypertension, diabetes, and obesity; and 2) examine the effects of chronic condition dyads and triads on the use of CAM modalities, specifically manipulative and body-based methods, biological treatments, mindbody interventions, energy therapies, and alternative medical systems.
Methods: Data were obtained from the 2012 National Health Interview Survey and the Adult Alternative Medicine supplement. Statistical analyses were restricted to persons with self-reported hypercholesterolemia, hypertension, diabetes, or obesity (n = 15,463).
Results: Approximately 37.2% of the participants had just one of the four chronic conditions, while 62.4% self-reported multiple comorbidities. CAM use among participants was as follows (p<0.001): hypercholesterolemia (31.5%), hypertension (28.3%), diabetes (25.0%), and obesity (10.8%). All combinations of disease dyads and triads were consistently and significantly associated with the use of mind-body interventions (2–4%, p < 0.001). Two sets of three dyads were associated with use of manipulative methods (23–27%, p < 0.05) and energy therapies (0.2–0.3%, p<0.05). Use of biological treatments (0.04%, p<0.05) and alternative systems (3%, p < 0.05) were each significant for one dyad. One triad was significant for use of manipulative methods (27%, p < 0.001).
Conclusions: These findings point to future directions for research and have practical implications for family practitioners treating multimorbid patients.
Journal article
Published 2017
Journal of community health, 42, 612 - 623
Research suggests that prostate and colorectal cancers disproportionately affect men in the US, but little is known about the determinants of prostate-specific antigen (PSA) and colorectal cancer (CRC) screening uptake among US and foreign-born males. The purpose of this study was to investigate what factors influence prostate and colorectal cancer screening uptake among US-native born and foreign-born men. Using the 2015 National Health Interview Survey, we conducted bivariate and multivariate analyses to highlight factors associated with the uptake of prostate and colorectal cancer screening among US-native born and foreign-born men. The sample size consisted of 5651 men respondents, with the mean age of 59.7 years (SD = 12.1). Of these, more than two-fifths (42%) were aged 50-64 years old. With respect to race/ethnicity, the sample was predominantly non-Hispanic Whites (65.5%), 863 (15.6%) Hispanics, and 710 (12.4%) Blacks. Our analysis found higher rates of both US-born and foreign-born men aged 65 years or older, who had either a PSA or CRC screening tests than those aged <65 years. Results of the general multivariate model suggest that men under 50 years old, US-born and foreign-born alike, are statistically significantly less likely to have prostate or colorectal cancer screenings than men aged 65 years or above. This study highlights the influencing factors that encourage or discourage PSA and CRC screening uptake between US-native born and foreign-born men. The results of this inquiry provide an evidence-based blueprint for policymakers and interventionists seeking to address prostate and colorectal cancer among men.