Lynn Phan
Datos Biográficos
| ID | 5145019 |
|---|---|
| NOMBRE | Lynn Phan |
| NOMBRES | Lynn |
| APELLIDO | Phan |
| FIRMA | PHAN L |
| AFILIACIONES | University of Maryland, College Park |
| VERIFICADO | No |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 44 |
| OBRAS COMO AUTOR | 3 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2020 |
| ÍNDICE H | 1 |
Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States
Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiov…
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Pride, Love, and Twitter Rants
Objective : Describe variation in sentiment of tweets using race-related terms and identify themes characterizing the social climate related to race. Methods : We applied a Stochastic Gradient Descent Classifier to conduct sentiment analysis of 1,249,653 US tweets using race-related terms from 2015-2016. To evaluate accuracy, manual labels were compared against computer labels for a random subset of 6600 tweets. We conducted qualitative content a…
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Pride, Love, and Twitter Rants
Objective : Describe variation in sentiment of tweets using race-related terms and identify themes characterizing the social climate related to race. Methods : We applied a Stochastic Gradient Descent Classifier to conduct sentiment analysis of 1,249,653 US tweets using race-related terms from 2015-2016. To evaluate accuracy, manual labels were compared against computer labels for a random subset of 6600 tweets. We conducted qualitative content a…
Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States
Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiov…
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Medicine (2 obras) · Psychology (2 obras) · Racial and Ethnic Identity Research (2 obras) · Sentiment analysis (2 obras) · Social media (2 obras) · Sociology (2 obras) · World Wide Web (2 obras) · Air Quality and Health Impacts (1 obra)