A5089741734- Artificial Intelligence in Healthcare and Education
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Misinformation and Its Impacts
- Vaccine Coverage and Hesitancy
- Child Development and Digital Technology
- Smoking Behavior and Cessation
- Social Media in Health Education
- Hate Speech and Cyberbullying Detection
- Racial and Ethnic Identity Research
- Patient Satisfaction in Healthcare
- Digital Mental Health Interventions
- Health, Environment, Cognitive Aging
- Impact of Technology on Adolescents
- Patient-Provider Communication in Healthcare
- Influenza Virus Research Studies
- Healthcare Systems and Public Health
- Mental Health via Writing
- Health disparities and outcomes
- Migration, Health and Trauma
- LGBTQ Health, Identity, and Policy
- HIV, Drug Use, Sexual Risk
- Substance Abuse Treatment and Outcomes
- Social Media and Politics
- Machine Learning in Healthcare
University of California, San Francisco
2019-2025
University of Maryland, College Park
2025
University of California, Berkeley
2025
Aix-Marseille Université
2020-2024
Perspectives Charter School
2023
Harvard University
2014-2023
Johns Hopkins University
2023
Boston Children's Hospital
2013-2021
Boston University
2020-2021
Boston Children's Museum
2020
<h3>Importance</h3> The development of a coronavirus disease 2019 (COVID-19) vaccine has progressed at unprecedented speed. Widespread public uptake the is crucial to stem pandemic. <h3>Objective</h3> To examine factors associated with survey participants' self-reported likelihood selecting and receiving hypothetical COVID-19 vaccine. <h3>Design, Setting, Participants</h3> A study nonprobability convenience sample 2000 recruited participants including choice-based conjoint analysis was...
Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, December 2019 and have since spread across the world. Epidemiological studies indicated human-to-human transmission China elsewhere. To aid analysis tracking COVID-19 epidemic we collected curated individual-level data from national, provincial, municipal health reports, as well additional information online reports. All are geo-coded and, where available, include symptoms, key dates (date onset, admission,...
To examine the extent to which phrases, "COVID-19" and "Chinese virus" were associated with anti-Asian sentiments.
We paired high-resolution travel-time metrics with a SARS-CoV-2 testing location database in the United States. Median travel time to sites is longer counties lower population density, and higher percent of minority uninsured individuals. Differential geographic accessibility can recapitulate healthcare disparities bias transmission estimates.
While efficacious vaccines have been developed to inoculate against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; also known as COVID-19), public vaccine hesitancy could still undermine efforts combat the pandemic. Employing a survey of 1096 adult Americans recruited via Lucid platform, we examined relationships between attributes, proposed policy interventions such financial incentives, and misinformation on vaccination preferences. Higher degrees efficacy significantly...
Viruses targeting mammalian cells can indirectly alter the gut microbiota, potentially compounding their phenotypic effects. Multiple studies have observed a disrupted microbiota in severe cases of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that require hospitalization. Yet, despite demographic shifts disease severity resulting large and continuing burden non-hospitalized infections, we still know very little about impact mild SARS-CoV-2 on outpatient setting. To address...
Background: More than 3.5 million Americans live with autism spectrum disorder (ASD). Major challenges persist in diagnosing ASD as no medical test exists to diagnose this disorder. Digital phenotyping holds promise guide the clinical diagnoses and screening of ASD. Objective: This study aims explore feasibility using Web-based social media platform Twitter detect psychological behavioral characteristics self-identified persons Methods: Data from were retrieved 152 users 182 randomly...
In this Medical News interview, neurologist Bernard S. Chang, MD, MMSc, dean for medical education at Harvard School, discusses how artificial intelligence will shift clinical training, med school admissions, and teaching.
In this Medical News interview, Kedar S. Mate, MD, president and chief executive officer of the Institute for Healthcare Improvement, discusses patient safety health care equity in development clinical AI tools.
This Medical News article is an interview with US Surgeon General Vivek Murthy, MD, MBA, and JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MAS, about his call for a warning label on social media platforms.
Background People with schizophrenia experience elevated risk of suicide. Mental health symptoms, including depression and anxiety, contribute to increased Digital technology could support efforts detect suicide inform prevention efforts. Objective This exploratory study examined the feasibility monitoring online discussions about among Twitter users who self-identify as having schizophrenia. Methods Posts containing terms or suicidal were collected from a sample (N=203) random control...
Background: There are documented differences in access to health care across the United States. Previous research indicates that Web-based data regarding patient experiences and opinions of available from Twitter. Sentiment analyses Twitter can be used examine views Objective: The objective our study was provide a characterization experience sentiments States on over 4-year period. Methods: Using Twitter, we developed set 4 software components automatically label database tweets discussing...
Globally, water scarcity has become a common challenge across many regions. Digital surveillance holds promise for monitoring environmental threats to population health due severe drought. The 2019 Chennai crisis in India resulted disruptions social order and daily life, with local residents suffering shortages. This case study explored public opinion captured through the Twitter media platform, whether this information could help governments emergency response. Sentiment analysis topic...
Rapid growth in Smartphone use among children affords potential opportunities to target health behaviors such as dietary habits; however, few mobile applications are specifically designed with these individuals mind. This brief report describes our step-by-step approach towards developing a application for targeting nutrition children.