A5021433143- Human Mobility and Location-Based Analysis
- Data-Driven Disease Surveillance
- Data Management and Algorithms
- COVID-19 epidemiological studies
- Health disparities and outcomes
- Geographic Information Systems Studies
- Urban Transport and Accessibility
- Traffic Prediction and Management Techniques
- Automated Road and Building Extraction
- Substance Abuse Treatment and Outcomes
- Land Use and Ecosystem Services
- Opioid Use Disorder Treatment
- Vaccine Coverage and Hesitancy
- Transportation Planning and Optimization
- Semantic Web and Ontologies
- Open Education and E-Learning
- Psychological and Temporal Perspectives Research
- Malaria Research and Control
- Antibiotic Use and Resistance
- Optimism, Hope, and Well-being
- Spreadsheets and End-User Computing
- Global Cancer Incidence and Screening
- Impact of Light on Environment and Health
- Air Quality and Health Impacts
- Perfectionism, Procrastination, Anxiety Studies
University of Maryland, College Park
2017-2025
American Geographical Society
2025
University of Newcastle Australia
2024
Toronto Metropolitan University
2024
Australian Commission on Safety and Quality in Health Care
2024
McGill University
2021-2024
Systems, Applications & Products in Data Processing (Canada)
2021
California Environmental Protection Agency
2020
University of Oxford
2019
Simmons University
2016-2017
Hepatitis B virus (HBV) infection is a well-recognized occupational risk for health care workers (HCWs). Vaccination coverage, disease trends, and the need booster doses after hepatitis vaccination of adults have been subject intense study during 15 years vaccine's availability.Vaccination coverage HCWs was determined from review medical records on sample employees 113 randomly selected hospitals. The number HBV infections among general US population 1983 through 1995 estimated national...
Until recently, air quality impacts from wildfires were predominantly determined based on data permanent stationary regulatory pollution monitors. However, low-cost particulate matter (PM) sensors are now widely used by the public as a source of information during wildfires, although their performance smoke impacted conditions has not been thoroughly evaluated. We collocated three types fine PM (PM2.5) with reference instruments near multiple fires in western and eastern United States...
Significance The University of Maryland Global COVID Trends and Impact Survey (UMD-CTIS), launched April 2020, is the largest remote global health monitoring system. This study includes ∼30 million responses through December 2020 from all 114 countries/territories with survey weights to adjust for nonresponse demographics. Using self-reported cross-sectional data sampled daily Facebook users, we confirm consistent demographics COVID-19 symptoms. Our model predicts local case trends....
Estimates of Plasmodium falciparum migration may inform strategies for malaria elimination. Here we elucidate fine-scale parasite population structure and infer recent across Southeast Asia using identity-by-descent (IBD) approaches based on genome-wide single nucleotide polymorphisms called in 1722 samples from 54 districts. IBD estimates are consistent with isolation-by-distance. We observe greater sharing larger segments between artemisinin-resistant parasites versus sensitive parasites,...
This paper describes a partnership between Facebook and academic institutions to create global COVID-19 symptom survey. The survey is available in 56 languages. A representative sample of users invited on daily basis report on symptoms, social distancing behavior, mental health issues, and financial constraints. provides weights reduce nonresponse and coverage bias. Privacy protection disclosureavoidance mechanisms are implemented by both partners meet global policy industry requirements....
Aims and method Crisis resolution home treatment (CRHT) teams began operating in Edinburgh late 2008. We ascertained service users' carers' experiences of CRHT using a standardised questionnaire. also assessed the impact on psychiatric admissions readmissions by analysing routinely collected data from November 2003 to 2009. Results There was 24% decrease acute year after operating, whereas previous 5 years saw an 8% reduction admission rate. The mean duration in-patient stay fell 6.5 days...
Lane-level road network updating is crucial for urban traffic applications that use geographic information systems contributing to, example, intelligent driving, route planning and control. Researchers have developed various algorithms to update networks using sensor data, such as high-definition images or GPS data; however, approaches involve change detection at lane level data are less common. This paper presents a novel method automatic of lane-level based on trajectories vehicles. The...
Early detection through screening can reduce mortality rates of cervical cancer, and yet Hispanic women who have incidence higher than their non-Hispanic White counterparts are least likely to participate in cancer initiatives. This study utilized data from the 2008 wave Health Retirement Study investigate psychosocial correlates associated with older women's participation services. Logistic regression models were used. Findings indicated that greater life satisfaction religiosity a...
Abstract Background Women in low- and middle-income countries (LMIC) remain at high risk of developing cervical cancer have limited access to screening programs. The limits include geographical barriers related road network characteristics travel behaviors but these neither been well studied LMIC nor methods overcome them incorporated into delivery Methods To identify evaluate spatial prevention services Ondo State, Nigeria, we applied a Multi-Mode Enhanced Two-Step Floating Catchment Area...
Coronavirus disease 2019 (COVID-19) was first identified in December Wuhan, China as an infectious disease, and has quickly resulted ongoing pandemic. A data-driven approach developed to estimate medical resource deficiencies due burdens at county level during the COVID-19 The study duration mainly from February 15, 2020 May 1, U.S. Multiple data sources were used extract local population, hospital beds, critical care staff, confirmed case numbers, hospitalization level. We estimated average...
While travelers may have the same origin and destination for their trips, these trips be associated with different travel times. Understanding what factors contribute to times contributes better transportation planning driver experience improvement. Big mobile device data offers new opportunities understand travelers’ driving behaviors by providing high-resolution trip trajectory data. In this study we analyzed including behaviors, built environment road characteristics, external (e.g.,...
The widespread impact of the COVID-19 pandemic on health systems, economies, and societies globally requires comprehensive data to guide effective recovery efforts. Online surveys have become crucial for rapid extensive collection. Pandemic Response Survey (PRS), utilizing Facebook Active User Base (FAUB), assessed pandemic's population-level impacts across 21 countries, gathering information healthcare, vaccine confidence, trust, economic educational indicators. Conducted from March May...
This study evaluates the association between trust in health care professionals and delays across 21 countries. We apply logistic regression models to survey data of over 621,000 individuals collected Spring 2023. Results show 44.5% respondents with medical conditions experienced accessing 44.1% reported lack professionals. Those who trusted had significantly lower odds delaying care. Trust was most strongly associated United Kingdom (OR = 0.373, 95% CI 0.273-0.510), while South Africa...