Eric Diaz

Undergraduate Student, University of Texas at El Paso

4 active projects

SARS-CoV-2 infection Project

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor…

Scientific Questions Being Studied

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection. Moreover, the impact of SARS-CoV-2 will disproportionately impact underserved populations whom are at an increased risk for chronic conditions (e.g., diabetes, cardiovascular, pulmonary).

Project Purpose(s)

  • Disease Focused Research (SARS-CoV-2)

Scientific Approaches

We will explore associations between SARS-CoV-2 infections and the incidence of diabetes with a focus on underserved patient populations. This study will also explore other associations affecting the incidence of SARS-CoV-2 infections and co-morbidities. The analysis will employ exploratory methods of data analysis such as association plots, heatmaps, and descriptive statistics. Following the exploratory analysis, generalized linear models will explore the associations further while controlling for patient characteristics and other factors. Multiplicity corrections will control the incidence of type I errors and ensure replicability of research results. The data will include information on past SARS-CoV-2 infections, type I and II diabetes, demographic characteristics, and other hormone/endocrine conditions, mental health or substance use conditions, and cancer. Data will be stratified to assess the change in risk of these conditions for underserved patient populations.

Anticipated Findings

The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection.

Demographic Categories of Interest

  • Race / Ethnicity
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Leslie Flaco - Graduate Trainee, University of Texas at El Paso
  • Eric Diaz - Undergraduate Student, University of Texas at El Paso
  • Denisse Urenda - Graduate Trainee, University of Texas at El Paso
  • Amy Wagler - Mid-career Tenured Researcher, University of Texas at El Paso

Collaborators:

  • ATIQUR CHOWDHURY - Graduate Trainee, University of Texas at El Paso

AoU Research - Eric Diaz

COVID-19 has substantially impacted the Hispanic population of the United States, according to the CDC Hispanic or Latino persons have been hospitalized at 3.1x the rate of Non-Hispanic persons. The intention of this research is to analyze the genetic data…

Scientific Questions Being Studied

COVID-19 has substantially impacted the Hispanic population of the United States, according to the CDC Hispanic or Latino persons have been hospitalized at 3.1x the rate of Non-Hispanic persons. The intention of this research is to analyze the genetic data of those who identify in the Hispanic population in order to investigate or uncover potential patterns or correlations to COVID-19 induced health variables such as hospitalization and death.

Project Purpose(s)

  • Ancestry

Scientific Approaches

In this project, we will use data sets with genetic data from Hispanics with and without COVID-19. We will be using various investigation techniques such as utilizing machine learning models, conducting exploratory data analysis.

Anticipated Findings

I would like to be able to further analyze potential patterns among Hispanics with COVID-19 and those without, whether their genetics have a correlation between hospitalization or even death.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Registered Tier

Research Team

Owner:

  • Eric Diaz - Undergraduate Student, University of Texas at El Paso

Duplicate of SARS-CoV-2 infection Project

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor…

Scientific Questions Being Studied

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection. Moreover, the impact of SARS-CoV-2 will disproportionately impact underserved populations whom are at an increased risk for chronic conditions (e.g., diabetes, cardiovascular, pulmonary).

Project Purpose(s)

  • Disease Focused Research (SARS-CoV-2)

Scientific Approaches

We will explore associations between SARS-CoV-2 infections and the incidence of diabetes with a focus on underserved patient populations. This study will also explore other associations affecting the incidence of SARS-CoV-2 infections and co-morbidities. The analysis will employ exploratory methods of data analysis such as association plots, heatmaps, and descriptive statistics. Following the exploratory analysis, generalized linear models will explore the associations further while controlling for patient characteristics and other factors. Multiplicity corrections will control the incidence of type I errors and ensure replicability of research results. The data will include information on past SARS-CoV-2 infections, type I and II diabetes, demographic characteristics, and other hormone/endocrine conditions, mental health or substance use conditions, and cancer. Data will be stratified to assess the change in risk of these conditions for underserved patient populations.

Anticipated Findings

The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection.

Demographic Categories of Interest

  • Race / Ethnicity
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Eric Diaz - Undergraduate Student, University of Texas at El Paso

COVID-19 | SDH

In this research publication, we will be using the available data from ALL OF US to understand the social determinants of health and how they affect the population of COVID-positive patients.

Scientific Questions Being Studied

In this research publication, we will be using the available data from ALL OF US to understand the social determinants of health and how they affect the population of COVID-positive patients.

Project Purpose(s)

  • Disease Focused Research (COVID-19)
  • Population Health
  • Social / Behavioral
  • Educational
  • Ethical, Legal, and Social Implications (ELSI)

Scientific Approaches

We will be using the COPE survey in order to get an understanding of COVID-19 patients. We will be trying to pull information from this survey in order to create an effective understanding of the social determinants of health.

Anticipated Findings

I believe that we will find that social determinants of health have a large effect on the population and how intense the COVID-19 infection rate is in some communities.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Eric Diaz - Undergraduate Student, University of Texas at El Paso
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