Kehe Zhang
Dados Biográficos
| ID | 5454416 |
|---|---|
| NOME | Kehe Zhang |
| PRENOMES | Kehe |
| SOBRENOME | Zhang |
| ASSINATURA | ZHANG K |
| AFILIAÇÕES | The University of Texas Health Science Center at Houston |
| ORCID | 0000-0001-8013-265X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
A comparison of floating catchment area parameters with applications to a dataset of clinics enrolled in a statewide child and adolescent psychiatric consultation program
Introduction: Healthcare resources are often crucial but limited, requiring careful consideration and informed allocation based on population needs and potential healthcare access. In resource allocation settings, availability and accessibility of resources should be examined simultaneously. The two-step floating catchment area (2SFCA) method has been previously used to evaluate spatial accessibility to healthcare resources and services, and to a…
A Novel Bayesian Spatial–Temporal Approach to Quantify Sars-CoV-2 Testing Disparities for Small Area Estimation
Objectives. To propose a novel Bayesian spatial–temporal approach to identify and quantify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing disparities for small area estimation. Methods. In step 1, we used a Bayesian inseparable space–time model framework to estimate the testing positivity rate (TPR) at geographically granular areas of the census block groups (CBGs). In step 2, we adopted a rank-based approach to compare the …
Autoethnographic Examination of Data-Driven, Community-Tailored Covid-19 Response in Brownsville, Texas
The City of Brownsville was made vulnerable to the COVID-19 pandemic due to high rates of obesity and diabetes, high rates of poverty, and adverse social determinants of health. To address the unique challenges faced by the community, Brownsville’s COVID-19 response brought together the skills of academia with the local understanding and health expertise of the city’s public health department to craft a pandemic response that addressed the specif…
Individual and Community Social Determinants of Health Associated With Diabetes Management in a Mexican American Population
Background: Diabetes is a major health burden in Mexican American populations, especially among those in the Lower Rio Grande Valley (LRGV) in the border region of Texas. Understanding the roles that social determinants of health (SDOH) play in diabetes management programs, both at the individual and community level, may inform future intervention strategies. Methods: This study performed a secondary data analysis on 1,568 individuals who partici…
Sem obras proeminentes nesta página.
Individual and Community Social Determinants of Health Associated With Diabetes Management in a Mexican American Population
Background: Diabetes is a major health burden in Mexican American populations, especially among those in the Lower Rio Grande Valley (LRGV) in the border region of Texas. Understanding the roles that social determinants of health (SDOH) play in diabetes management programs, both at the individual and community level, may inform future intervention strategies. Methods: This study performed a secondary data analysis on 1,568 individuals who partici…
Autoethnographic Examination of Data-Driven, Community-Tailored Covid-19 Response in Brownsville, Texas
The City of Brownsville was made vulnerable to the COVID-19 pandemic due to high rates of obesity and diabetes, high rates of poverty, and adverse social determinants of health. To address the unique challenges faced by the community, Brownsville’s COVID-19 response brought together the skills of academia with the local understanding and health expertise of the city’s public health department to craft a pandemic response that addressed the specif…
A Novel Bayesian Spatial–Temporal Approach to Quantify Sars-CoV-2 Testing Disparities for Small Area Estimation
Objectives. To propose a novel Bayesian spatial–temporal approach to identify and quantify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing disparities for small area estimation. Methods. In step 1, we used a Bayesian inseparable space–time model framework to estimate the testing positivity rate (TPR) at geographically granular areas of the census block groups (CBGs). In step 2, we adopted a rank-based approach to compare the …
A comparison of floating catchment area parameters with applications to a dataset of clinics enrolled in a statewide child and adolescent psychiatric consultation program
Introduction: Healthcare resources are often crucial but limited, requiring careful consideration and informed allocation based on population needs and potential healthcare access. In resource allocation settings, availability and accessibility of resources should be examined simultaneously. The two-step floating catchment area (2SFCA) method has been previously used to evaluate spatial accessibility to healthcare resources and services, and to a…
Medicine (4 obras) · Environmental health (3 obras) · Public health (3 obras) · COVID-19 epidemiological studies (2 obras) · Food Security and Health in Diverse Populations (2 obras) · Gerontology (2 obras) · American Community Survey (1 obras) · Bayesian probability (1 obras) · Catchment area (1 obras) · Census (1 obras)