A5029896083- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Air Quality Monitoring and Forecasting
- Urban Heat Island Mitigation
- Energy and Environment Impacts
- COVID-19 impact on air quality
- Noise Effects and Management
- Global Health Care Issues
- Health disparities and outcomes
- Medical and Agricultural Research Studies
- Thermoregulation and physiological responses
- Obesity, Physical Activity, Diet
- Physical Activity and Health
- Health Systems, Economic Evaluations, Quality of Life
- Health and Lifestyle Studies
- Urban Transport and Accessibility
- Maternal Mental Health During Pregnancy and Postpartum
- Building Energy and Comfort Optimization
- Impact of Light on Environment and Health
Icahn School of Medicine at Mount Sinai
2021-2025
Instituto Nacional de Salud Pública
2018-2021
Abstract Background Machine-learning algorithms are becoming popular techniques to predict ambient air PM 2.5 concentrations at high spatial resolutions (1 × 1 km) using satellite-based aerosol optical depth (AOD). Most machine-learning models have aimed 24 h-averaged (mean ) in high-income regions. Over Mexico, none been developed subdaily peak levels, such as the maximum daily 1-h concentration (max ). Objective Our goal was develop a model mean and max Mexico City Metropolitan Area from...
Satellite-based PM
Abstract While weather stations generally capture near‐surface ambient air temperature (Ta) at a high temporal resolution to calculate daily values (i.e., minimum, mean, and maximum Ta), their fixed locations can limit spatial coverage even in densely populated urban areas. As result, data from alone may be inadequate for Ta‐related epidemiology particularly when the are not located areas of interest human exposure assessment. To address this limitation Megalopolis Central Mexico (MCM), we...
Pregnancy is a potential critical window to air pollution exposure for long-term maternal metabolic effects. However, little known about early mechanisms linking health. We included 544 pregnant Mexican women with both ambient PM2.5 levels during pregnancy and untargeted serum metabolomics examine associations between (overall monthly) postpartum metabolites, implementing FDR-adjusted robust linear regression controlling covariates. Pathway enrichment analyses (in Reactome MetaboAnalyst)...
Objectives/Goals: In recent years, there has been growing interest in the development of air pollution prediction models, particularly low- and middle-income countries that are disproportionately impacted by effects pollution. Recent methodological advancements, machine learning, provide novel opportunities for modeling efforts. Methods/Study Population: We estimate daily ground-level fine particulate matter (PM2.5) concentrations Mexico City Metropolitan Area at 1-km2 grids from 2005 to...
Acute exposure to particulate matter with aerodynamic diameter <2.5 μm (PM2.5) is associated acute cardiovascular and cerebrovascular mortality. The aim of this study was evaluate these associations specific causes mortality in Mexico City.We obtained daily records for City from 2004 2013 people ≥25 ≥65 years old. Exposure PM2.5 assessed estimates a new hybrid spatiotemporal model using satellite measurements aerosol optical depth compared ground level missing data estimated generalized...
In recent years, there has been growing interest in developing air pollution prediction models to reduce exposure measurement error epidemiologic studies. However, efforts for localized, fine-scale have predominantly focused the United States and Europe. Furthermore, availability of new satellite instruments such as TROPOsopheric Monitoring Instrument (TROPOMI) provides novel opportunities modeling efforts. We estimated daily ground-level nitrogen dioxide (NO2) concentrations Mexico City...
Air pollution has been linked to obesity while higher ambient temperatures typically reduce metabolic demand in a compensatory manner. Both relationships may impact glucose metabolism, thus we examined the association between intermediate- and long-term exposure fine particulate matter (PM2.5) temperature glycated hemoglobin (HbA1c), longer-term marker of control. We assessed 3-month, 6-month, 12-month average air at 1-km2 spatial resolution via satellite remote sensing models (2013–2019),...
Background: Fine particulate matter (PM 2.5 ) exposure has been linked to anxiety and depression in adults; however, there is limited research the younger populations, which symptoms often first arise. Methods: We examined association between early-life PM of a cohort 8–11-year-olds Mexico City. Anxiety depressive were assessed using Spanish versions Revised Children’s Manifest Scale Depression Inventory. Daily was estimated satellite-based model averaged over several early recent windows....
Background Sedentary behavior is a worldwide public health concern. There consistent and growing evidence linking sedentary to mortality morbidity. Early monitoring assessment of environmental factors associated with behaviors at young age are important initial steps for understanding children's time identifying pertinent interventions. Objective This study examines the association between daily temperature (maximum, mean, minimum, diurnal variation) all-day among 4–6 year old children in...
Satellite-based PM
Prenatal and early-life exposure to air pollution extreme temperatures are associated with childhood asthma wheeze. However, potential windows of susceptibility their sex-specific interactive effects have not been fully elucidated. We aimed identify critical evaluate in these associations, interactions. analyzed data from 468 mother-child pairs enrolled the PROGRESS birth cohort Mexico City. Daily residential levels PM2.5, NO2, temperature were generated our validated spatiotemporally...
Background: Ambient fine particulate matter (PM 2.5 ) is a risk factor for atherosclerosis disease. We aimed to assess whether nitric oxide stable metabolites (NOx) and l -arginine mediate the association between PM carotid intima media thickness (cIMT) increase. Methods: selected 251 participants from control group of GEA (Genetics Atheroslerosis Disease Mexican) study (2008–2013) in Mexico City. Mediation models were carried out using pathway analyses, special case structural equation...
Abstract Pregnancy is a critical window for long-term metabolic programming of fetal effects stemming from airborne particulate matter ≤2.5μm (PM 2.5 ) exposure. Yet, little known about PM exposure during and surrounding pregnancy in mothers. We assessed potential windows with maternal adiposity lipid measures later life. included 517 pregnant women the PROGRESS cohort [body mass index (BMI), waist circumference (WC), % body fat] lipids [total cholesterol, high-density-lipoprotein (HDL),...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Other. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Prediction of daily mean one-hour maximum PM2.5 concentrations applications in Central Mexico using satellite-based machine-learning modelsAuthorsIvánGutiérrez-AvilaiDKodi...
Background. Limited evidence exists about short-term exposure to different intra-urban concentration levels and composition of particulate matter with aerodynamic diameter ≤2.5µm (PM2.5) associated acute cardiovascular cerebrovascular mortality.Methods. We used an ecologic approach Generalized Linear Mixed Models (GLMM) Poisson regressions in order assess daily PM2.5 all cardiovascular, ischemic heart mortality people ≥25 ≥65 years for each one the sixteen boroughs Mexico City period from...