A5055048537- Air Quality and Health Impacts
- Systemic Sclerosis and Related Diseases
- Climate Change and Health Impacts
- Soil Geostatistics and Mapping
- Health disparities and outcomes
- Air Quality Monitoring and Forecasting
- Spatial and Panel Data Analysis
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Urban Transport and Accessibility
- Atmospheric and Environmental Gas Dynamics
- Inflammatory Myopathies and Dermatomyositis
- Vehicle emissions and performance
- Reproductive Biology and Fertility
- Ovarian function and disorders
- Meteorological Phenomena and Simulations
- Statistical Methods and Bayesian Inference
- Geochemistry and Geologic Mapping
- Dermatologic Treatments and Research
- Climate variability and models
- Obesity, Physical Activity, Diet
- Mobile Health and mHealth Applications
- Wind and Air Flow Studies
- Human Mobility and Location-Based Analysis
- Salmonella and Campylobacter epidemiology
- Hydrology and Drought Analysis
University of California, Irvine
2019-2025
University of Michigan
2011-2020
Brigham Young University
2019
University of California, Los Angeles
2014
Scleroderma Foundation
2014
University of Pennsylvania
2014
The University of Texas Health Science Center at Houston
2014
Roche (Switzerland)
2014
Merck (Germany)
2014
Sanofi (Mexico)
2014
T cells play a key role in the pathogenesis of early systemic sclerosis. This study was undertaken to assess safety and efficacy abatacept patients with diffuse cutaneous sclerosis (dcSSc).
We provide methods that can be used to obtain more accurate environmental exposure assessment. In particular, we propose two modeling approaches combine monitoring data at point level with numerical model output grid cell level, yielding improved prediction of ambient level. Extending our earlier downscaler (Berrocal, V. J., Gelfand, A. E., and Holland, D. M. (2010b). A spatio-temporal for outputs from models. Journal Agricultural, Biological Environmental Statistics 15, 176-197), these new...
Objective Early diffuse cutaneous systemic sclerosis (dcSSc) is characterized by rapid changes in the skin and internal organs. The objective of this study was to develop a composite response index dcSSc (CRISS) for use randomized controlled trials (RCTs). Methods We developed 150 paper patient profiles with standardized clinical outcome elements (core set items) using patients dcSSc. Forty scleroderma experts rated 20 each assessed whether had improved or not over period 1 year. Using which...
BACKGROUND: Extreme heat poses current and future risks to human health.Heat vulnerability indices (HVIs), commonly developed using principal components analysis (PCA), are mapped identify populations vulnerable extreme heat.Few studies critically assess implications of analytic choices made when employing this methodology for fine-scale mapping.OBJECTIVE: We investigated sensitivity HVIs created by applying PCA input variables whether training on heat-health data produced with similar...
Abstract An analogue of the linear continuous ranked probability score is introduced that applies to probabilistic forecasts circular quantities, such as wind direction. This scoring rule proper and thereby discourages hedging. The reduces angular distance when forecast deterministic, just generalizes absolute error. Furthermore, provides a direct way comparing deterministic forecasts, discrete ensembles, post‐processed ensembles can take form density functions. used in this study compare...
Ozone and particulate matter PM(2.5) are co-pollutants that have long been associated with increased public health risks. Information on concentration levels for both pollutants come from two sources: monitoring sites output complex numerical models produce surfaces over large spatial regions. In this paper, we offer a fully-model based approach fusing these sources of information the pair which is computationally feasible regions periods time. Due to association between environmental...
Abstract Forecast ensembles typically show a spread–skill relationship, but they are also often underdispersive, and therefore uncalibrated. Bayesian model averaging (BMA) is statistical postprocessing method for forecast that generates calibrated probabilistic products weather quantities at individual sites. This paper introduces the spatial BMA technique, which combines geostatistical output perturbation (GOP) method, extends to generate forecasts of whole fields simultaneously, rather...
Short-range forecasts of precipitation fields are needed in a wealth agricultural, hydrological, ecological and other applications. Forecasts from numerical weather prediction models often biased do not provide uncertainty information. Here we present postprocessing technique for such that produces correlated probabilistic accumulation at multiple sites simultaneously. The statistical model is spatial version two-stage represents the distribution by mixture point mass zero Gamma density...
Winter road maintenance is one of the main tasks for Washington State Department Transportation. Anti-icing, that is, preemptive application chemicals, often used to keep roadways free ice. Given preventive nature anti-icing, accurate predictions ice are needed. Currently, anti-icing decisions usually based on deterministic weather forecasts. However, costs two kinds errors highly asymmetric because cost a closure due much greater than taking measures. As result, probabilistic forecasts...
Objective In a pilot study, our group showed that an internet‐based self‐management program improves self‐efficacy in systemic sclerosis ( SS c). The objective of the current study was to compare patient‐focused educational book developed assess measures and other patient‐reported outcomes patients with c. Methods We conducted 16‐week randomized, controlled trial. Results Of 267 participants who completed baseline questionnaires were randomized intervention (internet:...
Abstract Background The urban–rural designation has been an important risk factor in infectious disease epidemiology. Many studies rely on a politically determined dichotomization of rural versus urban spaces, which fails to capture the complex mosaic infrastructural, social and environmental factors driving risk. Such evaluation is especially for Plasmodium transmission malaria disease. To improve targeting anti-malarial interventions, continuous composite measure urbanicity using...
Objectives: To conduct a Geospatial Information System analysis of extracorporeal membrane oxygenation (ECMO) centers in the United States utilizing data from U.S. Census Bureau to better understand access ECMO care and identify potential disparities. Design: A cross-sectional descriptive statistical geospatial ECMO-capable States, accounting for demographic variables. Setting: The unit were block groups variables interest obtained American Community Survey. Patients: Patients accounted...
This article describes two R packages for probabilistic weather forecasting, ensem-bleBMA, which offers ensemble postprocessing via Bayesian model averaging (BMA), and Prob-ForecastGOP, implements the geostatistical output perturbation (GOP) method.BMA forecasting models use mixture distributions, in each component corresponds to an member, form of distribution depends on parameter (temperature, quantitative precipitation or wind speed).The parameters are estimated from training data.The GOP...
Abnormalities in lymphocyte surface markers and functions have been described systemic sclerosis (SSc), but conflicting results abound, these studies often examined patients with heterogeneous disease duration, severity, clinical phenotype, concurrent immunosuppressive agents. We studied a clinically homogeneous group of early diffuse cutaneous SSc not exposed to drugs who were enrolled trial compared their immune parameters healthy control subjects. Lymphocyte subsets enumerated by...
Abstract Objective Initiatives to reduce neighborhood-based health disparities require access meaningful, timely, and local information regarding behavior its determinants. We examined the validity of Twitter as a source for neighborhood-level analysis dietary choices attitudes. Materials Methods analyzed “healthiness” quotient sentiment in food-related tweets at census tract level, associated them with neighborhood characteristics outcomes. keywords driving differences food healthiness...
Climate models are mathematical that describe the temporal evolution of climate, oceans, atmosphere, ice, and land‐use processes, across a spatial domain via systems partial differential equations. Because these cannot be solved analytically, model output is generated numerically over grid boxes. Regional climate (RCMs), or dynamic downscaling global to regional scales, often used for planning purposes, it important assess carefully uncertainty such models. We evaluate Swedish Meteorological...
Objective. Dyspnoea is a common, multifactorial source of functional impairment among patients with dcSSc. Our objective was to assess the reliability, construct validity and responsiveness change Saint George's Respiratory Questionnaire (SGRQ) in early dcSSc participating multicentre prospective study. Methods. At enrolment 1 year, completed SGRQ (a multi-item instrument four scales: symptoms, activity, impact total), visual analogue scale (VAS) for breathing HAQ Disability Index (HAQ-DI)...