A5041698647- Misinformation and Its Impacts
- FinTech, Crowdfunding, Digital Finance
- Vaccine Coverage and Hesitancy
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Protein Structure and Dynamics
- Data-Driven Disease Surveillance
- Enzyme Structure and Function
- Machine Learning in Healthcare
- COVID-19 epidemiological studies
- COVID-19 Impact on Reproduction
- COVID-19 and healthcare impacts
- Reproductive Health and Technologies
- Emergency and Acute Care Studies
- COVID-19 Pandemic Impacts
- Social Media in Health Education
- Electronic Health Records Systems
- Chronic Disease Management Strategies
- Sepsis Diagnosis and Treatment
- Hate Speech and Cyberbullying Detection
- Heart Failure Treatment and Management
- Machine Learning in Bioinformatics
- Reproductive Health and Contraception
- Economic and Financial Impacts of Cancer
- Microfinance and Financial Inclusion
University of Pennsylvania
2022-2025
Children's Hospital of Philadelphia
2022-2025
Inova Health System
2024-2025
Translational Research Informatics Center (Japan)
2024
The University of Texas Southwestern Medical Center
2019-2023
Southwestern Medical Center
2020-2022
University of Dallas
2022
University of Pennsylvania Health System
2022
Museum of Heilongjiang Province
2021
Parkland Memorial Hospital
2021
Twitter has been used to track trends and disseminate health information during viral epidemics. On January 21, 2020, the Centers for Disease Control Prevention activated its Emergency Operations Center World Health Organization released first situation report about coronavirus disease 2019 (COVID-19), sparking significant media attention. How content sentiment evolved in early stages of COVID-19 pandemic not described.We extracted tweets matching hashtags related from 14 28, 2020 using...
Social distancing policies are key in curtailing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) spread, but their effectiveness is heavily contingent on public understanding and collective adherence. We studied perception of social through organic, large-scale discussion Twitter.Retrospective cross-sectional study.Between March 27 April 10, 2020, we retrieved English-only tweets matching two trending hashtags, #socialdistancing #stayathome. analyzed the using natural language...
Abstract Background Twitter has been used to track trends and disseminate health information during viral epidemics. On January 21, 2020, the CDC activated its Emergency Operations Center WHO released first situation report about Coronavirus disease 2019 (COVID-19), sparking significant media attention. How content sentiment evolved in early stages of any outbreak, including COVID-19 epidemic, not described. Objective To quantify understand changes activity, content, epidemic. Design...
To create and validate a simple transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of novel paradigm for development code sharing.Retrospective cohort study.One US hospital during 2015-21 was used training internal validation. External validation conducted on admitted at 12 other medical centers 2020-21.33 119 adults (≥18 years) respiratory distress or covid-19.An...
As the number of COVID-19 cases increased precipitously in United States, policy makers and health officials marshalled their pandemic responses. economic impacts multiplied, anecdotal reports noted use web-based crowdfunding to defray these costs.We examined response early stage States understand incidence initiation COVID-19-related campaigns compare them non-COVID-19-related campaigns.On May 16, 2020, we extracted all available data on US that contained narratives were created between...
Introduction The use of social media during the COVID-19 pandemic has led to an "infodemic" mis- and disinformation with potentially grave consequences. To explore means counteracting disinformation, we analyzed tweets containing hashtags #Scamdemic #Plandemic. Methods Using a Twitter scraping tool called twint, collected 419,269 English-language that contained “#Scamdemic” or “#Plandemic” posted in 2020. application-programming interface, extracted same (by tweet ID) additional user...
With the global continuation of COVID-19 pandemic, large-scale administration a SARS-CoV-2 vaccine is crucial to achieve herd immunity and curtail further spread virus, but success contingent on public understanding uptake. We aim understand perception about vaccines for through wide-scale, organic discussion Twitter.
<h3>Importance</h3> Despite major differences in their health care systems, medical crowdfunding is increasingly used to finance personal costs Canada, the UK, and US. However, little known about campaigns designed raise monetary donations for expenses, individuals who turn crowdfunding, fundraising intent. <h3>Objective</h3> To examine demographic characteristics of beneficiaries, campaign characteristics, association with funding success <h3>Design, Setting, Participants</h3> This...
Despite the rapid growth of academic hospital medicine, scholarly productivity remains poorly characterized. In this cross‐sectional study, distribution rank and output medicine faculty are described. We extracted data for 1554 hospitalists on at top 25 internal residency programs. Only 11.7% had reached associate (9.0%) or full professor (2.7%). The median number publications was 0.0 (interquartile range [IQR], 0.0‐4.0), with 51.4% without a single publication. Faculty 6 to 10 years post...
Objective Experiences sharing complex workflow-integrated clinical decision support (CDS) across health systems are sparse and not well reported. This case study presents the of a hybrid electronic record (EHR)-native SMART-compatible CDS tool for automating provision smoking cessation treatment caregivers during pediatric visits. Materials & Methods We conducted comprehensive needs assessment using socio-technical frameworks to identify workflow gaps technical requirements. A...
Adequate sampling of the conformational space is a central challenge in ab initio protein structure prediction. In absence template structure, search procedure guided by an energy function explores space, gathering ensemble low-energy decoy conformations. If inadequate, native may be missed altogether. Even if reproduced, subsequent stage that selects subset decoys for further structural detail and energetic refinement discard near-native they are high or insufficiently represented ensemble....
OBJECTIVES Throughout the pandemic, children with COVID-19 have experienced hospitalization, ICU admission, invasive respiratory support, and death. Using a multisite, national dataset, we investigate risk factors associated these outcomes in COVID-19. METHODS Our data source (Optum deidentified Electronic Health Record Dataset) included aged 0 to 18 years testing positive for between January 1, 2020, 20, 2022. ordinal logistic regression, identified an outcome scale: nonhospitalization, or...
The electronic health record (EHR) data deluge makes retrieval more difficult, escalating cognitive load and exacerbating clinician burnout. New auto-summarization techniques are needed. study goal was to determine if problem-oriented view (POV) auto-summaries improve workflows. We hypothesized that POV users would perform tasks faster, make fewer errors, be satisfied with EHR use, experience less as compared of the standard (SV).
The Supreme Court ruling in Dobbs v Jackson Women's Health Organization (Dobbs) overrules precedents established by Roe Wade and Planned Parenthood Casey allows states to individually regulate access abortion care services. While many have passed laws protect services since the ruling, has also triggered enforcement of existing creation new ones that ban or restrict abortion. In addition denying patients full spectrum reproductive health care, one major concern medical community is how will...
Elucidating the native structure of a protein molecule from its sequence amino acids, problem known as de novo prediction, is long standing challenge in computational structural biology. Difficulties silico arise due to high dimensionality conformational space and ruggedness associated energy surface. The issue multiple minima particularly troublesome hallmark surfaces probed with current functions. In contrast true surface, these are weakly-funneled rich comparably deep populated by...
There is a need for systematic method to implement the World Health Organization's Clinical Progression Scale (WHO-CPS), an ordinal clinical severity score coronavirus disease 2019 patients, electronic health record (EHR) data. We discuss our process of developing guiding principles mapping EHR data WHO-CPS scores across multiple institutions.
Abstract Background Studies on COVID-19 in people with HIV (PWH) have had limitations. Further investigations risk factors and outcomes of SARS-CoV-2 infection among PWH are needed. Methods This retrospective cohort study leveraged the national OPTUM data set to investigate associated positivity for severe outcomes, including hospitalization, intensive care unit stays, death. A subset analysis was conducted examine HIV-specific variables. Multiple variable logistic regression used adjust...
Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adult patients with incidental IDA may have gastrointestinal cancer. A diagnosis can be established through combination laboratory tests, but it often underrecognized until patient becomes symptomatic. Based on advances in machine learning, we hypothesized that could reduce the time by developing an prediction model. Our goal was develop 3 neural networks using retrospective longitudinal outpatient data...
Abstract Twitter is a robust medium to understand wide-scale, organic public perception about the COVID-19 vaccine. In this cross-sectional observational study, we evaluated 2.4 million English tweets from nearly 1 user accounts matching keywords ((‘covid*’ OR ‘coronavirus’) AND ‘vaccine’) during vaccine development Feb st through Dec 11 th , 2020. We applied topic modeling, sentiment and emotion analysis, demographic inference of users on related provide insight into evolution attitudes....
Rationale & ObjectiveAcute kidney injury (AKI) is common in patients hospitalized with COVID-19, but validated, predictive models for AKI are lacking. We aimed to develop the best model coronavirus disease 2019 and assess its performance over time emergence of vaccines Delta variant.Study DesignLongitudinal cohort study.Setting ParticipantsHospitalized a positive severe acute respiratory syndrome 2 polymerase chain reaction result between March 1, 2020, August 20, 2021 at 19 hospitals...
Abstract Background Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later (8–30 days). We assessed how well a previously validated EHR-based readmission prediction model predicts 7-day and compared differences in strength predictors. Methods conducted an observational study adult hospitalizations from 6 diverse hospitals North Texas using 50–50 split-sample derivation validation approach. re-derived coefficients...
Abstract Background Medical crowdfunding is increasingly used to finance personal healthcare costs in Canada (CAN), United Kingdom (UK), and States (US) despite major differences their systems. Yet, it lacks comparative descriptive research guide policy changes that can promote equitable accessible healthcare. Methods We conducted a cross-sectional analysis of Canadian, British, American campaigns between February 2018 March 2019 on the GoFundMe platform (n=3,396). extracted manually...
Received: 22 September 2022 Accepted after revision: 02 December Manuscript online:19
Abstract We used topic modeling, subjectivity analysis, and social graph theory to analyze 11 944 tweets relating IDWeek 2020. Twitter is a rich medium that can successfully disseminate knowledge allow users engage in networks during medical conference, despite virtual format.