A5063225225- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Climate Change and Health Impacts
- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- Soil Geostatistics and Mapping
- Noise Effects and Management
- Data-Driven Disease Surveillance
- Fecal contamination and water quality
- Vehicle emissions and performance
- Health, Environment, Cognitive Aging
- Soil and Water Nutrient Dynamics
- Groundwater flow and contamination studies
- Geochemistry and Geologic Mapping
- Health disparities and outcomes
- Water Quality Monitoring and Analysis
- Atmospheric Ozone and Climate
- Water Quality and Resources Studies
- Arsenic contamination and mitigation
- Groundwater and Isotope Geochemistry
- Hydrology and Watershed Management Studies
- Energy and Environment Impacts
- SARS-CoV-2 detection and testing
- Syphilis Diagnosis and Treatment
- Environmental Justice and Health Disparities
University of North Carolina at Chapel Hill
2016-2025
University of North Carolina at Greensboro
2021
University of Southern California
2020
New York University
2020
Brigham and Women's Hospital
2020
Harvard University
2020
Stanford University
2020
National Institute on Aging
2020
Columbia University
2020
Indiana University Bloomington
2020
Abstract Exposure to particulate matter (PM) in the ambient air and its interactions with APOE alleles may contribute acceleration of brain aging pathogenesis Alzheimer’s disease (AD). Neurodegenerative effects pollutants were examined a US-wide cohort older women from Women’s Health Initiative Memory Study (WHIMS) experimental mouse models. Residing places fine PM exceeding EPA standards increased risks for global cognitive decline all-cause dementia respectively by 81 92%, stronger adverse...
The aim of this study was to examine the putative adverse effects ambient fine particulate matter (PM2.5 : PM with aerodynamic diameters <2.5μm) on brain volumes in older women. We conducted a prospective 1,403 community-dwelling women without dementia enrolled Women's Health Initiative Memory Study, 1996-1998. Structural magnetic resonance imaging scans were performed at age 71-89 years 2005-2006 obtain volumetric measures gray (GM) and normal-appearing white (WM). Given residential...
Airborne fine particulate matter exhibits spatiotemporal variability at multiple scales, which presents challenges to estimating exposures for health effects assessment. Here we created a model predict ambient less than 2.5 μm in aerodynamic diameter (PM2.5) across the contiguous United States be applied modeling. We developed hybrid approach combining land use regression (LUR) selected with machine learning method, and Bayesian Maximum Entropy (BME) interpolation of LUR space-time...
Abstract Evidence suggests exposure to particulate matter with aerodynamic diameter &lt;2.5 μm (PM2.5) may increase the risk for Alzheimer’s disease and related dementias. Whether PM2.5 alters brain structure accelerates preclinical neuropsychological processes remains unknown. Early decline of episodic memory is detectable in disease. Therefore, we conducted a longitudinal study examine whether affects decline, also explored potential mediating role increased neuroanatomic associated...
Data on long-term trends of ozone exposure and attributable mortality across urban-rural catchment areas worldwide are scarce, especially for low-income middle-income countries. This study aims to estimate in concentrations worldwide.In this modelling study, we used a health impact function ozone-attributable chronic respiratory disease urban worldwide, their surrounding peri-urban, peri-rural, rural areas. We estimated outcomes using modified Global Burden Diseases, Injuries, Risk Factors...
Abstract City-level estimates of ambient ozone concentrations and associated disease burdens are sparsely available, especially for low middle-income countries. Recently available high-resolution gridded global concentration allow estimating mortality at urban scales urban-rural catchment areas worldwide. We applied existing fine resolution surface estimates, developed by integrating observations (8834 sites globally) with nine atmospheric chemistry models, in an epidemiologically-derived...
Background: Recent studies suggest that exposure to traffic-related air pollutants, including particulate matter (PM), is associated with autism spectrum disorder (autism). Methods: Children were identified by records-based surveillance (n = 645 born in North Carolina 1994, 1996, 1998, or 2000, and n 334 the San Francisco Bay Area California 1996). They compared randomly sampled children same counties years from birth records 12,434 2,232 California). Exposure PM less than 10 μm (PM10) at...
Background:Remote sensing (RS) is increasingly used for exposure assessment in epidemiological and burden of disease studies, including those investigating whether chronic to ambient fine particulate matter (PM2.5) associated with mortality.Objectives:We compared relative risk estimates mortality from diseases the circulatory system PM2.5 modeled RS that using ground-level information.Methods:We geocoded baseline residence 668,629 American Cancer Society Prevention Study II (CPS-II) cohort...
Beach sand can harbor fecal indicator organisms and pathogens, but enteric illness risk associated with contact remains unclear.
Objective: Exposure to ambient fine particulate matter (PM2.5: PM with aerodynamic diameters < 2.5 μm) has been linked cognitive deficits in older adults. Using fine-grained voxel-wise analyses, we examined whether PM2.5 exposure also affects brain structure. Methods: Brain MRI data were obtained from 1365 women (aged 71-89) the Women's Health Initiative Memory Study and local volumes estimated using RAVENS (regional analysis of normalized space). Based on geocoded residential locations air...
Estimates of ground-level ozone concentrations are necessary to determine the human health burden ozone. To support Global Burden Disease Study, we produce yearly fine resolution global surface estimates from 1990 2017 through a data fusion observations and models. As sparse in many populated regions, use novel combination M3Fusion Bayesian Maximum Entropy (BME) methods. With M3Fusion, create multimodel composite by bias-correcting weighting nine atmospheric chemistry models based on their...
Background: There is increasing evidence that long-term exposure to fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5)] may adversely impact cognitive performance. Wildfire smoke one of the biggest sources PM2.5 and concentrations are likely increase under climate change. However, little known about how short-term impacts function. Objectives: We aimed evaluate associations between daily subdaily (hourly) wildfire performance adults. Methods: Scores from 20 plays an...
A major challenge in mapping health data is protecting patient privacy while maintaining the spatial resolution necessary for surveillance and outbreak identification. new adaptive geomasking technique, referred to as donut method, extends current methods of random displacement by ensuring a user-defined minimum level geoprivacy. In method geomasking, each geocoded address relocated direction at least distance, but less than maximum distance. The authors compared with perturbation...
A better understanding of the adverse health effects chronic exposure to fine particulate matter (PM2.5) requires accurate estimates PM2.5 variation at spatial scales. Remote sensing has emerged as an important means estimating exposures, but relatively few studies have compared remote-sensing those derived from monitor-based data.We evaluated and predictive capabilities remote geostatistical interpolation.We developed a space-time kriging model predict over continental United States...
The health risks of As exposure due to the installation millions shallow tubewells in Bengal Basin are known, but fecal contamination aquifers has not systematically been examined. This could be a source concern densely populated areas with poor sanitation because hydraulic travel time from surface water bodies wells that low was previously shown considerably shorter than for high As. In this study, 125 6−36 m deep were sampled duplicate 18 months quantify presence indicator Escherichia...
Knowledge of particulate matter concentrations <2.5 μm in diameter (PM2.5) across the United States is limited due to sparse monitoring space and time. Epidemiological studies need accurate exposure estimates order properly investigate potential morbidity mortality. Previous works have used geostatistics land use regression (LUR) separately quantify exposure. This work combines both methods by incorporating a large area variability LUR model that accounts for on road mobile emissions...
<b>Objective:</b> We analysed and mapped the distribution of four reportable sexually transmitted diseases, chlamydial infection/non-gonococcal urethritis (chlamydial infection), gonorrhoea, primary secondary syphilis (syphilis), HIV infection, for Wake County, North Carolina, to optimise an intervention. <b>Methods:</b> used STD surveillance data reported year 2000 analyse map rates. rates were mathematically represented as a spatial random field. variability by calculating modelling...
Geomasking is used to provide privacy protection for individual address information while maintaining spatial resolution mapping purposes. Donut geomasking and other random perturbation algorithms rely on the assumption of a homogeneously distributed population calculate displacement distances, leading possible under-protection individuals when this condition not met. Using household data from 2007, we evaluated performance donut in Orange County, North Carolina. We calculated estimated...
States in the USA are required to demonstrate future compliance of criteria air pollutant standards by using both quality monitors and model outputs. In case ozone, demonstration tests aim at relying heavily on measured values, due their perceived objectivity enforceable quality. Weight given numerical models is diminished integrating them calculations only a relative sense. For unmonitored locations, EPA has suggested use spatial interpolation technique assign current values. We that this...