A5067313286- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Energy and Environment Impacts
- Air Quality Monitoring and Forecasting
- Noise Effects and Management
- Birth, Development, and Health
- Atmospheric chemistry and aerosols
- Health, Environment, Cognitive Aging
- Urban Heat Island Mitigation
- Global Health Care Issues
- Health disparities and outcomes
- Urban Transport and Accessibility
- COVID-19 impact on air quality
- Atmospheric aerosols and clouds
- Neonatal Respiratory Health Research
- Atmospheric and Environmental Gas Dynamics
- Urban Green Space and Health
- Vehicle emissions and performance
- Impact of Light on Environment and Health
- Obesity, Physical Activity, Diet
- Water Systems and Optimization
- Climate variability and models
- Flow Measurement and Analysis
- Advanced Sensor Technologies Research
- Environmental Justice and Health Disparities
Ben-Gurion University of the Negev
2016-2025
Icahn School of Medicine at Mount Sinai
2016-2025
Soroka Medical Center
2023
Harvard University
2012-2022
University of Haifa
2008-2022
New Orleans Public Library
2022
Framingham Heart Study
2015-2021
National Heart Lung and Blood Institute
2016-2021
Novem (Netherlands)
2021
Institute of Justice
2021
Various approaches have been proposed to model PM
A number of models have been developed to estimate PM2.5 exposure, including satellite-based aerosol optical depth (AOD) models, land-use regression, or chemical transport model simulation, all with both strengths and weaknesses. Variables like normalized difference vegetation index (NDVI), surface reflectance, absorbing index, meteoroidal fields are also informative about concentrations. Our objective is establish a hybrid which incorporates multiple approaches input variables improve...
Both short- and long-term exposures to fine particulate matter (≤ 2.5 μm; PM2.5) are associated with mortality. However, whether the associations exist at levels below new U.S. Environmental Protection Agency (EPA) standards (12 μg/m3 of annual average PM2.5, 35 daily) is unclear. In addition, it not clear results from previous time series studies (fit in larger cities) cohort convenience samples) generalizable.
Particulate matter (PM) air pollution is one of the major causes death worldwide, with demonstrated adverse effects from both short-term and long-term exposure. Most epidemiological studies have been conducted in cities because lack reliable spatiotemporal estimates particles exposure nonurban settings. The objective this study to estimate daily PM10 (PM < 10 μm), fine 2.5 μm, PM2.5) coarse between PM2.5–10) at 1-km2 grid for 2013–2015 using a machine learning approach, Random Forest (RF)....
Background: Many studies have reported associations between ambient particulate matter (PM) and adverse health effects, focused on either short-term (acute) or long-term (chronic) PM exposures. For chronic the studied cohorts rarely been representative of population. We present a novel exposure model combining satellite aerosol optical depth land-use data to investigate both long- effects PM2.5 exposures population mortality in Massachusetts, United States, for years 2000–2008. Methods: All...
The influence of particulate air pollution on respiratory health starts in utero. Fetal lung growth and structural development occurs stages; thus, effects postnatal disorders may differ based timing exposure.
Background and Purpose— Long-term exposure to ambient air pollution is associated with cerebrovascular disease cognitive impairment, but whether it related structural changes in the brain not clear. We examined associations between residential long-term markers of aging using magnetic resonance imaging. Methods— Framingham Offspring Study participants who attended seventh examination were at least 60 years old free dementia stroke included. evaluated exposures (fine particulate matter [PM...
Satellite-derived aerosol optical depth (AOD) measurements have the potential to provide spatiotemporally resolved predictions of both long and short-term exposures, but previous studies generally shown moderate predictive power lacked detailed high spatio- temporal resolution across large domains. We aimed at extending our work by validating model in another region with different geographical metrological characteristics, incorporating fine scale land use regression nonrandom missingness...
NO2 is a combustion byproduct that has been associated with multiple adverse health outcomes. To assess levels high accuracy, we propose the use of an ensemble model to integrate machine learning algorithms, including neural network, random forest, and gradient boosting, variety predictor variables, chemical transport models. This covers entire contiguous U.S. daily predictions on 1-km-level grid cells from 2000 2016. The produced cross-validated R2 0.788 overall, spatial 0.844, temporal...
It is unknown if ambient fine particulate matter (PM2.5) associated with lower renal function, a cardiovascular risk factor.We investigated whether long-term PM2.5 exposure was estimated glomerular filtration rate (eGFR) in cohort of older men living the Boston Metropolitan area.This longitudinal analysis included 669 participants from Veterans Administration Normative Aging Study up to four visits between 2000 and 2011 (n = 1,715 visits). Serum creatinine measured at each visit, eGFR...
Recent advances in estimating fine particle (PM2.5) ambient concentrations use daily satellite measurements of aerosol optical depth (AOD) for spatially and temporally resolved exposure estimates. Mexico City is a dense megacity that differs from other previously modeled regions several ways: it has bright land surfaces, distinctive climatological cycle, an elevated semi-enclosed air basin with unique planetary boundary layer dynamic. We extend our previous methodology to the area, region...
Recent studies of shift‐working women have reported that excessive exposure to light at night (LAN) may be a risk factor for breast cancer. However, no yet attempted examine the co‐distribution LAN and cancer incidence on population level with goal assess coherence these earlier findings trends. Coherence is one Hill's “criteria” (actually, viewpoints) an inference causality. Nighttime satellite images were used estimate levels in 147 communities Israel. Multiple regression analysis was...
The incidence rates of cancers in men differ by countries the world. We compared three most common (prostate, lung, and colon) residing 164 different with population-weighted light at night (LAN) exposure several developmental environmental indicators, including per capita income, percent urban population, electricity consumption. estimate LAN was a novel aspect this study. Both ordinary least squares (OLS) spatial error (SE) regression models were used analysis. found significant positive...
Background: A number of studies have shown associations between chronic exposure to particulate air pollution and increased mortality, particularly from cardiovascular disease, but fewer examined the association long-term fine specific events, such as acute myocardial infarction (AMI).Objective: We how area matter affects onset AMI, we distinguished local pollutants.Methods: Building on Worcester Heart Attack Study, an ongoing community-wide investigation examining changes over time in...
Adverse birth outcomes such as low weight and premature have been previously linked with exposure to ambient air pollution. Most studies relied on a limited number of monitors in the region interest, which can introduce error or restrict analysis persons living near monitor, reduces sample size generalizability may create selection bias. We evaluated relationship between particulate matter (PM2.5) levels during pregnancy Massachusetts for 9-year period (2000–2008). Building novel method we...
Background Many studies have reported significant associations between exposure to PM2.5 and hospital admissions, but all focused on the effects of short-term exposure. In addition these relied a limited number monitors in their study regions, which introduces error, excludes rural suburban populations from locations are not available, reducing generalizability potentially creating selection bias. Methods Using our novel prediction models for combining land use regression with physical...
Increasing concentrations of atmospheric carbon dioxide (CO2) lower the content zinc and other nutrients in important food crops. Zinc deficiency is currently responsible for large burdens disease globally, populations who are at highest risk also receive most their dietary from By modelling intake bioavailable 188 countries under both an ambient CO2 elevated scenario, we sought to estimate effect anthropogenic emissions on global deficiency.