Heresh Amini
A5039033866- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Air Quality Monitoring and Forecasting
- Energy and Environment Impacts
- Noise Effects and Management
- Urban Transport and Accessibility
- Global Health Care Issues
- COVID-19 impact on air quality
- Atmospheric chemistry and aerosols
- Impact of Light on Environment and Health
- Environmental Justice and Health Disparities
- Health disparities and outcomes
- Health, Environment, Cognitive Aging
- Vehicle emissions and performance
- Global Maternal and Child Health
- Research on Leishmaniasis Studies
- Child Nutrition and Water Access
- Global Public Health Policies and Epidemiology
- Fluoride Effects and Removal
- Stroke Rehabilitation and Recovery
- Nanomaterials for catalytic reactions
- Vehicle Noise and Vibration Control
- Healthcare Systems and Reforms
- Adsorption and biosorption for pollutant removal
- COVID-19 epidemiological studies
Icahn School of Medicine at Mount Sinai
2023-2025
Harvard University
2018-2024
University of Copenhagen
2019-2024
Climate Central
2024
Mount Sinai Health System
2024
Kurdistan University of Medical Sciences
2013-2023
Harvard University Press
2022-2023
McGill University
2022
Université de Montréal
2022
Instituto Politécnico Nacional
2022
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis the evidence for risk factor exposure attributable burden disease. By providing national subnational assessments spanning past 25 years, this study can inform debates on importance addressing risks in context.MethodsWe used comparative assessment framework developed previous iterations Disease to estimate deaths, disability-adjusted life-years (DALYs), trends by age group, sex,...
Exposure to ambient air pollution is a major risk factor for global disease. Assessment of the impacts on population health and evaluation trends relative other factors requires regularly updated, accurate, spatially resolved exposure estimates. We combined satellite-based estimates, chemical transport model simulations, ground measurements from 79 different countries produce estimates annual average fine particle (PM2.5) ozone concentrations at 0.1° × spatial resolution five-year intervals...
BackgroundIn September, 2015, the UN General Assembly established Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG based on Global Burden Diseases, Injuries, Risk Factors Study 2015 (GBD 2015).MethodsWe applied statistical methods systematically compiled data estimate performance for 188 countries from 1990 2015. rescaled each indicator a scale 0 (worst observed value...
Various approaches have been proposed to model PM
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...
Air pollution is a leading global disease risk factor. Tracking progress (e.g., for Sustainable Development Goals) requires accurate, spatially resolved, routinely updated exposure estimates. A Bayesian hierarchical model was developed to estimate annual average fine particle (PM2.5) concentrations at 0.1° × spatial resolution globally 2010-2016. The incorporated varying relationships between 6003 ground measurements from 117 countries, satellite-based estimates, and other predictors. Model...
In this paper, we integrated multiple types of predictor variables and three machine learners (neural network, random forest, gradient boosting) into a geographically weighted ensemble model to estimate the daily maximum 8 h O3 with high resolution over both space (at 1 km × grid cells covering contiguous United States) time (daily estimates between 2000 2016). We further quantify monthly uncertainty for our gridded domain. The results demonstrate overall performance an average...
Growing evidence suggests that fine particulate matter (PM
There is increasing evidence linking long-term fine particulate matter (PM2.5) exposure to negative health effects. However, the relative influence of each component PM2.5 on risk poorly understood. In a cohort study in contiguous United States between 2000 and 2017, we examined effect main components all-cause mortality older adults who had be at least 65 years old enrolled Medicare. We estimated yearly mean concentrations six key compounds, including black carbon (BC), organic (OM), soil...
Multiple sclerosis (MS) incidence has dramatically increased in Tehran, Iran. The health impact of air pollution Tehran underscores the attention to a possible association this environmental risk factor. In study, authors aimed analyze spatial distribution prevalent MS cases and their with patterns pollution.Patient records meeting McDonald's criteria for definite diagnosis disease onset during 2003-2013 were obtained. Next, location 2,188 patients was successfully geo-referenced within...
The spatiotemporal variability of ambient volatile organic compounds (VOCs) in Tehran, Iran, is not well understood. Here we present the design, methods, and results Tehran Study Exposure Prediction for Environmental Health Research (Tehran SEPEHR) on concentrations benzene, toluene, ethylbenzene, p-xylene, m-xylene, o-xylene (BTEX), total BTEX. To date, this largest study its kind a low- middle-income country one globally. We measured BTEX at five reference sites 174 distributed identified...
Estimating air pollution exposure has long been a challenge for environmental health researchers. Technological advances and novel machine learning methods have allowed us to increase the geographic range accuracy of models, making them valuable tool in conducting studies identifying hotspots pollution. Here, we created prediction model daily PM2.5 levels Greater London area from 1st January 2005 31st December 2013 using an ensemble approach incorporating satellite aerosol optical depth...
Ambient air pollution has been linked to stroke, but few studies have examined in detail stroke subtypes and confounding by road traffic noise, which was recently associated with stroke. Here we the association between long-term exposure incidence of (overall, ischemic, hemorrhagic), adjusting for noise. In a nationwide Danish Nurse Cohort consisting 23,423 nurses, recruited 1993 or 1999, identified 1,078 incident cases (944 ischemic 134 hemorrhagic) up December 31, 2014, defined as...
BackgroundUnderstanding how environmental factors affect SARS-CoV-2 transmission could inform global containment efforts. Despite high scientific and public interest multiple research reports, there is currently no consensus on the association of transmission. To address this gap, we aimed to assess relative risk associated with weather conditions ambient air pollution.MethodsIn analysis, adjusted for delay between infection detection, estimated daily reproduction number at 3739 locations...