Jiue‐an Yang
Dados Biográficos
| ID | 4426557 |
|---|---|
| NOME | Jiue‐an Yang |
| PRENOMES | Jiue‐an |
| SOBRENOME | Yang |
| ASSINATURA | YANG J A |
| AFILIAÇÕES | City of Hope |
| ORCID | 0000-0003-4246-0470 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 13 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2013 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Exploring racial and ethnic diversity trajectories and diabetes prevalence in the United States
This study investigates whether long-term changes in neighborhood racial and ethnic diversity are associated with adult diabetes prevalence across the contiguous United States. We calculated diversity indexes for US census tracts (n = 72,033) using decennial census data from 1990 to 2020. Five diversity trajectory clusters were identified using K-means clustering. Diabetes prevalence in 2019 was obtained from the CDC’s PLACES dataset. Linear mixe…
Measuring access to culturally appropriate food and associations with diabetes among Asian Americans and Native Hawaiians or Pacific Islanders
Objective: The Food Access Research Atlas (FARA) is a common measure of food access developed by the US Department of Agriculture. However, its sole focus on supermarkets lacks specificity for culturally appropriate food. This ecological study assesses the relationship of FARA and our novel Yelp-based Ethnic Store Measure with diabetes rates among Asian Americans and Native Hawaiians or Pacific Islanders (AAPI). Design: This study leveraged crowd…
Changes in activity spaces, life spaces, and exposures to physical activity-promoting environments among women with overweight or obesity
Understanding factors associated with successful adherence and maintenance of weight loss interventions is important to potentially increase efficacy. Activity spaces and environmental exposures are two understudied factors that may be associated with intervention adherence and outcomes. Women with overweight or obesity (n = 498) from two weight loss intervention studies, Reach for Health and Metabolic, Exercise, and Nutrition at University of Ca…
Designing and Evaluating a Hierarchical Framework for Matching Food Outlets across Multi-sourced Geospatial Datasets
The Role of Neighborhood Air Pollution Exposure on Somatic Non-Small Cell Lung Cancer Mutations in the Los Angeles Basin (2013–2018)
Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution metrics and aggressive tumor biology. Among patients treated at City of Hope Comprehensive Cancer Center in Duarte, CA (2013-2018), three non…
Device-Measured and Self-Reported Active Travel Associations with Cardiovascular Disease Risk Factors in an Ethnically Diverse Sample of Adults
Active travel (AT) provides an opportunity to alleviate the physical inactivity and climate crises contributing to the global chronic disease burden, including cardiovascular diseases (CVD). Though AT shows promising links to reduced CVD risk, prior studies relied on self-reported AT assessment. In the present study, device-measured and self-reported AT were compared across population subgroups and relationships with CVD risk biomarkers were eval…
Accounting for space, time, and behavior using GPS derived dynamic measures of environmental exposure
Time-weighted spatial averaging approaches (TWSA) are an increasingly utilized method for calculating exposure using global positioning system (GPS) mobility data for health-related research. They can provide a time-weighted measure of exposure, or dose, to various environments or health hazards. However, little work has been done to compare existing methodologies, nor to assess how sensitive these methods are to mobility data inputs (e.g., walki…
Spatial Social Networks
Social media (such as Twitter, Instagram, and Facebook) are powerful computer‐supported social networks for idea exchange and personal networking. Most social media messages contain spatial information in the form of geotags, user profiles, or place names in the messages, which can be used to create spatial social networks. Spatial social networks transform social networks into maps and information landscapes using real‐world locations or abstrac…
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
POI Pulse
The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce spec…
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
Changes in activity spaces, life spaces, and exposures to physical activity-promoting environments among women with overweight or obesity
Understanding factors associated with successful adherence and maintenance of weight loss interventions is important to potentially increase efficacy. Activity spaces and environmental exposures are two understudied factors that may be associated with intervention adherence and outcomes. Women with overweight or obesity (n = 498) from two weight loss intervention studies, Reach for Health and Metabolic, Exercise, and Nutrition at University of Ca…
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
POI Pulse
The volume, velocity, and variety of data that are now becoming available allow us to study urban environments based on human behaviour with a spatial, temporal, and thematic granularity that was not achievable until now. Such data-driven approaches open up additional, complementary perspectives on how urban systems function, especially if they are based on user-generated content (UGC). While the data sources, such as social media, introduce spec…
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
Spatial Social Networks
Social media (such as Twitter, Instagram, and Facebook) are powerful computer‐supported social networks for idea exchange and personal networking. Most social media messages contain spatial information in the form of geotags, user profiles, or place names in the messages, which can be used to create spatial social networks. Spatial social networks transform social networks into maps and information landscapes using real‐world locations or abstrac…
Device-Measured and Self-Reported Active Travel Associations with Cardiovascular Disease Risk Factors in an Ethnically Diverse Sample of Adults
Active travel (AT) provides an opportunity to alleviate the physical inactivity and climate crises contributing to the global chronic disease burden, including cardiovascular diseases (CVD). Though AT shows promising links to reduced CVD risk, prior studies relied on self-reported AT assessment. In the present study, device-measured and self-reported AT were compared across population subgroups and relationships with CVD risk biomarkers were eval…
Accounting for space, time, and behavior using GPS derived dynamic measures of environmental exposure
Time-weighted spatial averaging approaches (TWSA) are an increasingly utilized method for calculating exposure using global positioning system (GPS) mobility data for health-related research. They can provide a time-weighted measure of exposure, or dose, to various environments or health hazards. However, little work has been done to compare existing methodologies, nor to assess how sensitive these methods are to mobility data inputs (e.g., walki…
The Role of Neighborhood Air Pollution Exposure on Somatic Non-Small Cell Lung Cancer Mutations in the Los Angeles Basin (2013–2018)
Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution metrics and aggressive tumor biology. Among patients treated at City of Hope Comprehensive Cancer Center in Duarte, CA (2013-2018), three non…
Designing and Evaluating a Hierarchical Framework for Matching Food Outlets across Multi-sourced Geospatial Datasets
Measuring access to culturally appropriate food and associations with diabetes among Asian Americans and Native Hawaiians or Pacific Islanders
Objective: The Food Access Research Atlas (FARA) is a common measure of food access developed by the US Department of Agriculture. However, its sole focus on supermarkets lacks specificity for culturally appropriate food. This ecological study assesses the relationship of FARA and our novel Yelp-based Ethnic Store Measure with diabetes rates among Asian Americans and Native Hawaiians or Pacific Islanders (AAPI). Design: This study leveraged crowd…
Changes in activity spaces, life spaces, and exposures to physical activity-promoting environments among women with overweight or obesity
Understanding factors associated with successful adherence and maintenance of weight loss interventions is important to potentially increase efficacy. Activity spaces and environmental exposures are two understudied factors that may be associated with intervention adherence and outcomes. Women with overweight or obesity (n = 498) from two weight loss intervention studies, Reach for Health and Metabolic, Exercise, and Nutrition at University of Ca…
Exploring racial and ethnic diversity trajectories and diabetes prevalence in the United States
This study investigates whether long-term changes in neighborhood racial and ethnic diversity are associated with adult diabetes prevalence across the contiguous United States. We calculated diversity indexes for US census tracts (n = 72,033) using decennial census data from 1990 to 2020. Five diversity trajectory clusters were identified using K-means clustering. Diabetes prevalence in 2019 was obtained from the CDC’s PLACES dataset. Linear mixe…
Computer Science (7 obras) · Geography (5 obras) · Human Mobility and Location-Based Analysis (5 obras) · Data mining (4 obras) · Data science (4 obras) · Social media (4 obras) · World Wide Web (4 obras) · Complex Network Analysis Techniques (3 obras) · Data-Driven Disease Surveillance (3 obras) · Environmental health (3 obras)