A5052699977- Health disparities and outcomes
- Migration, Health and Trauma
- Racial and Ethnic Identity Research
- Urban Transport and Accessibility
- Food Security and Health in Diverse Populations
- Smoking Behavior and Cessation
- Urban Green Space and Health
- Hate Speech and Cyberbullying Detection
- Mobile Health and mHealth Applications
- Air Quality and Health Impacts
- Noise Effects and Management
- Social Media in Health Education
- Health Literacy and Information Accessibility
- Machine Learning and ELM
- Stochastic Gradient Optimization Techniques
- Data-Driven Disease Surveillance
- Global Health Workforce Issues
- Neural Networks and Applications
- Healthcare Policy and Management
- Obesity, Physical Activity, Diet
- Human Mobility and Location-Based Analysis
- Health Promotion and Cardiovascular Prevention
- COVID-19 epidemiological studies
- Impact of Light on Environment and Health
- Adolescent and Pediatric Healthcare
Brandeis University
2025
National Institute of Nursing Research
2025
University of Maryland, College Park
2017-2024
Universidad de Los Andes
2024
Texas Christian University
2024
Creative Commons
2023
University of Twente
2023
Foundation for the National Institutes of Health
2023
National Institute on Minority Health and Health Disparities
2023
Max Planck Society
2021
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination response to COVID-19. Racism can have significant social, economic, health impacts, but there has been little systematic investigation of increases prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis was performed using support vector machine (SVM), supervised learning...
Public health is the basis of society’s well-being and nation’s development. Despite importance this factor huge investments in sector United States, public facing enormous challenges due to unknown nature influential variables sector. This research aims investigate on from different sources including demographic features, built environment, socioeconomic variables, environmental factors impact 30 major issues. To achieve goal, study utilizes exploratory analysis multiple regression methods...
While the optimization problem behind deep neural networks is highly non-convex, it frequently observed in practice that training seems possible without getting stuck suboptimal points. It has been argued this case as all local minima are close to being globally optimal. We show (almost) true, fact almost optimal, for a fully connected network with squared loss and analytic activation function given number of hidden units one layer larger than points structure from on pyramidal.
Studies suggest that where people live, play, and work can influence health well-being. However, the dearth of neighborhood data, especially data is timely consistent across geographies, hinders understanding effects neighborhoods on health. Social media represents a possible new resource for research.The aim this study was to build, from geotagged Twitter national database with area-level indicators well-being behaviors.We utilized Twitter's streaming application programming interface...
The spread of COVID-19 is not evenly distributed. Neighborhood environments may structure risks and resources that produce disparities. built allow greater flow people into an area or impede social distancing practices increase residents’ risk for contracting the virus. We leveraged Google Street View (GSV) images computer vision to detect environment features (presence a crosswalk, non-single family home, single-lane roads, dilapidated building visible wires). utilized Poisson regression...
This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed shifts public sentiment toward Black people. Methods: Google searches for the names "Ahmaud Arbery," "Breonna Taylor," "George Floyd" obtained from Health Application Programming Interface (API). Using Twitter API, we collected a 1% random sample publicly available U.S. race-related tweets November 2019–September (N = 3,380,616)....
In the United States, where coronary heart disease (CHD) is leading cause of mortality, CHD risk assessment a priority and accurate blood pressure (BP) measurement essential.Hypertension estimates in National Longitudinal Study Adolescent Health (Add Health), Wave IV (2008)-a nationally representative field study 15,701 participants aged 24-32-was referenced against NHANES (2007-2008) same age. We examined discordances hypertension, estimated accuracy reliability Add study.Hypertension rates...
The built environment is a structural determinant of health and has been shown to influence expenditures, behaviors, outcomes. Traditional methods assessing characteristics are time-consuming difficult combine or compare. Google Street View (GSV) images represent large, publicly available data source that can be used create indicators the physical with machine learning techniques. aim this study use GSV measure association features health-related behaviors outcomes at census tract level.We...
Neighbourhood quality has been connected with an array of health issues, but neighbourhood research limited by the lack methods to characterise large geographical areas. This study uses innovative computer vision and a new big data source street view images automatically built environments.A total 430 000 were obtained using Google's Street View Image API for Salt Lake City, Chicago Charleston. Convolutional neural networks used create indicators greenness, crosswalks building type. We...
The objective of this study was to investigate the association between state-level publicly expressed sentiment towards racial and ethnic minorities birth outcomes for mothers who gave in that state.We utilized Twitter's Streaming Application Programming Interface (API) collect 1,249,653 tweets containing at least one relevant keyword pertaining a or minority group. State-level derived were merged with data on all 2015 U.S. births (N=3.99 million singleton births).Mothers living states...
Background On March 16, 2021, a white man shot and killed eight victims, six of whom were Asian women at Atlanta-area spa massage parlors. The aims the study to: (1) qualitatively summarize themes tweets related to race, ethnicity, racism immediately following Atlanta shootings, (2) examine temporal trends in expressions hate speech solidarity before after shootings using new methodology for analysis. Methods A random 1% sample publicly available was collected from January April 2021....
Communities of color experience higher maternal and infant mortality, as well a host other adverse outcomes, during pregnancy postpartum. To address this, our team is developing free, user-friendly, question-answering chatbot called Rosie . Chatbots have gained significant popularity due to their scalability success in individualizing resources. In recent years, scientific communities researchers started recognizing this technology's potential inform communities, promote health disparities....
Helicopter parenting during emerging adulthood, a developmental period highlighting autonomy and self-reliance, can undermine college students’ well-being. The current study examined the mediating role of emotion dysregulation in association between helicopter mental health outcomes among college-aged adults. A sample 790 students completed questionnaires on perceived parenting, dysregulation, depression, social anxiety, alcohol use. Results generally supported hypothesized mediation model,...
Purpose We examined openly shared substance-related tweets to estimate prevalent sentiment around substance use and identify popular activities. Additionally, we investigated associations between business characteristics demographics at the zip code level. Methods A total of 79,848,992 were collected from 48 states in continental United States April 2015-March 2016 through Twitter API, which 688,757 identified as being related use. implemented a machine learning algorithm (maximum entropy...
Abstract Neighborhood characteristics are increasingly connected with health outcomes. Social processes affect through the maintenance of social norms, stimulation new interests, and dispersal knowledge. We created zip code level indicators happiness, food, physical activity culture from geolocated Twitter data to examine relationship between these neighborhood obesity diabetes diagnoses (Type 1 Type 2). collected 422,094 tweets sent Utah April 2015 March 2016. leveraged administrative...
Built environment neighborhood characteristics are difficult to measure and assess on a large scale. Consequently, there is lack of sufficient data that can help us investigate as structural determinants health national level. The objective this study utilize publicly available Google Street View images source for characterizing built environments examine the influence chronic diseases behaviors in United States. Data were collected by processing 164 million from November 2019 across...
The Hierarchical Directed Capacitated Arc Routing Problem (HDCARP) is an extension of the (CARP), where arcs a graph are divided into classes based on their priority. traversal these determined by either precedence constraints or hierarchical objective, resulting in two distinct HDCARP variants. To best our knowledge, only one matheuristic has been proposed for variants, but it performs relatively slowly, particularly large-scale instances (Ha et al., 2024). In this paper, we propose fast...