4.7 Article

Assessing household fine particulate matter (PM2.5) through measurement and modeling in the Bangladesh cook stove pregnancy cohort study (CSPCS)

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Medicine, General & Internal

Cohort profile: Bangladesh Cook Stove Pregnancy Cohort Study (CSPCS)

Nusrat Jabin et al.

Summary: The Cook Stove Pregnancy Cohort Study (CSPCS) aims to assess the impact of biomass fuel use on household air pollution (HAP) and the effects of HAP (fine particulate matter, PM2.5) on birth outcomes and acute lower respiratory infection (ALRI) in infants in Bangladesh. The study recruited 903 women within 18 weeks of pregnancy and followed them until 12 months after delivery. Questionnaires, measurements, and biological samples were collected to analyze the effects of environmental exposures on health outcomes. This study provides an economical and effective framework for investigating the health effects of adverse environmental exposures in low-resource countries.

BMJ OPEN (2023)

Article Environmental Sciences

Multinational prediction of household and personal exposure to fine particulate matter (PM2.5) in the PURE cohort study

Matthew Shupler et al.

Summary: A multinational measurement campaign was conducted to develop household and personal PM2.5 exposure models, which can be used to quantify levels of household air pollution (HAP). The models found that primary cooking fuel type, heating fuel type, country, and season were highly predictive of PM2.5 concentrations.

ENVIRONMENT INTERNATIONAL (2022)

Article Environmental Sciences

A hybrid satellite and land use regression model of source-specific PM2.5 and PM2.5 constituents

Md Mostafijur Rahman et al.

Summary: This study developed US models for estimating source-specific PM2.5 concentrations at a census tract level, providing highly resolved spatial estimates for the years 2001 to 2014. The results can be used for future epidemiological research to address the variability of different particles.

ENVIRONMENT INTERNATIONAL (2022)

Article Environmental Sciences

Estimating long-term average household air pollution concentrations from repeated short-term measurements in the presence of seasonal trends and crossover

Joshua P. Keller et al.

Summary: Estimating long-term exposure to household air pollution is crucial for quantifying the health effects of chronic exposure and intervention strategies. This study compares different statistical models for predicting long-term averages based on short-term measurements, emphasizing the influence of temporal trends and study design. The results show that a linear mixed model with time adjustment provides the most accurate long-term average predictions, outperforming household averages or mixed models without time adjustment. These findings have important implications for designing and analyzing studies on the chronic health impacts of long-term exposure to household air pollution.

ENVIRONMENTAL EPIDEMIOLOGY (2022)

Article Construction & Building Technology

Estimating residential air exchange rates in rural Bangladesh using a near field-far field model

Darpan Das et al.

Summary: Household air pollution from solid fuel combustion is common in rural areas, and providing ventilation can reduce exposure. Traditional one-compartment models may not differentiate exposure in different rooms, while a two-compartment model can estimate ventilation rates accurately. Current estimates based on decay curves of pollutant concentrations near sources lead to significant overestimation.

BUILDING AND ENVIRONMENT (2021)

Article Public, Environmental & Occupational Health

Estimating disease burden attributable to household air pollution: new methods within the Global Burden of Disease Study

F B Bennitt et al.

Lancet Global Health (2021)

Article Meteorology & Atmospheric Sciences

Estimation of PM2:5 concentration in China using linear hybrid machine learning model

Zhihao Song et al.

Summary: This study utilized satellite remote sensing data and meteorological elements to estimate PM2.5 concentration in China in 2019 through a hybrid model integrating random forest, gradient boosting regression tree, and deep neural network. The hybrid model showed better generalization ability than individual models, with an R-2 value of 0.84 and RMSE and MAE values below 20 and 15 mu gm(-3) in most sites. The hybrid model performed best in winter and worst in summer, revealing North China and East China as more polluted regions with higher PM2.5 concentrations.

ATMOSPHERIC MEASUREMENT TECHNIQUES (2021)

Article Environmental Sciences

Prediction model for air particulate matter levels in the households of elderly individuals in Hong Kong

Xinning Tong et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Engineering, Environmental

An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-Level Ozone in the Contiguous United States

Weeberb J. Requia et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2020)

Review Public, Environmental & Occupational Health

Adverse health effects associated with household air pollution: a systematic review, meta-analysis, and burden estimation study

Kuan Ken Lee et al.

LANCET GLOBAL HEALTH (2020)

Article Public, Environmental & Occupational Health

Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh

Anne M. Weaver et al.

BMC PUBLIC HEALTH (2019)

Article Construction & Building Technology

Monitoring and modeling of household air quality related to use of different Cookfuels in Paraguay

Matias Tagle et al.

INDOOR AIR (2019)

Article Environmental Sciences

Performance of low-cost monitors to assess household air pollution

A. Curto et al.

ENVIRONMENTAL RESEARCH (2018)

Article Medicine, General & Internal

Association of Solid Fuel Use With Risk of Cardiovascular and All-Cause Mortality in Rural China

Kuai Yu et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)

Article Environmental Sciences

Investigation of Acute Pulmonary Deficits Associated with Biomass Fuel Cookstove Emissions in Rural Bangladesh

Danielle N. Medgyesi et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2017)

Article Engineering, Environmental

Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression

Michael T. Young et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2016)

Article Environmental Sciences

Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity

Md. Masud Rana et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2016)

Article Geochemistry & Geophysics

High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression

Bin Zou et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)

Article Engineering, Environmental

Real-Time Particulate and CO Concentrations from Cookstoves in Rural Households in Udaipur, India

Anna Leavey et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2015)

Article Pharmacology & Pharmacy

Systemic inflammatory changes and increased oxidative stress in rural Indian women cooking with biomass fuels

Anindita Dutta et al.

TOXICOLOGY AND APPLIED PHARMACOLOGY (2012)

Article Environmental Sciences

Indoor air pollution, cookstove quality, and housing characteristics in two Honduran communities

Maggie L. Clark et al.

ENVIRONMENTAL RESEARCH (2010)