visualizing-field-data-collection-procedures-exposure-biomarker

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Here, we present a visual representation of standard procedures to collect population-level data on personal exposures to household air pollution (HAP) ...

University of California, Berkeley

Indoor exposure to fine particulate matter (PM) is a prominent health concern. However, few studies have examined the effectiveness of long-term use of indoor air filters for reduction of PM exposure and associated decrease in adverse health impacts in urban India. We conducted 20 simulations of yearlong personal exposure to PM in urban Delhi using the National Institute of Standards and Technology's CONTAM program (NIST, Gaithersburg, MD, USA). Simulation scenarios were developed to examine different air filter efficiencies, use schedules, and the influence of a smoker at home. We quantified associated mortality reductions with Household Air Pollution Intervention Tool (HAPIT, University of California, Berkeley, CA, USA). Without an air filter, we estimated an annual mean PM personal exposure of 103 µg/m (95% Confidence Interval (CI): 93, 112) and 137 µg/m (95% CI: 125, 149) for households without and with a smoker, respectively. All day use of a high-efficiency particle air (HEPA) filter would reduce personal PM exposure to 29 µg/m and 30 µg/m, respectively. The reduced personal PM exposure from air filter use is associated with 8-37% reduction in mortality attributable to PM pollution in Delhi. The findings of this study indicate that air filter may provide significant improvements in indoor air quality and result in health benefits.

Modeling the Impact of an Indoor Air Filter on Air Pollution Exposure Reduction and Associated Mortality in Urban Delhi Household.

Assessment of personal exposure to PM is critical for understanding intervention effectiveness and exposure-response relationships in household air pollution studies. In this pilot study, we compared PM concentrations obtained from two next-generation personal exposure monitors (the Enhanced Children MicroPEM or ECM; and the Ultrasonic Personal Air Sampler or UPAS) to those obtained with a traditional Triplex Cyclone and SKC Air Pump (a gravimetric cyclone/pump sampler). We co-located cyclone/pumps with an ECM and UPAS to obtain 24-hour kitchen concentrations and personal exposure measurements. We measured Spearmen correlations and evaluated agreement using the Bland-Altman method. We obtained 215 filters from 72 ECM and 71 UPAS co-locations. Overall, the ECM and the UPAS had similar correlation (ECM ρ = 0.91 vs UPAS ρ = 0.88) and agreement (ECM mean difference of 121.7 µg/m vs UPAS mean difference of 93.9 µg/m ) with overlapping confidence intervals when compared against the cyclone/pump. When adjusted for the limit of detection, agreement between the devices and the cyclone/pump was also similar for all samples (ECM mean difference of 68.8 µg/m vs UPAS mean difference of 65.4 µg/m ) and personal exposure samples (ECM mean difference of -3.8 µg/m vs UPAS mean difference of -12.9 µg/m ). Both the ECM and UPAS produced comparable measurements when compared against a cyclone/pump setup.

Article	Year
Modeling the Impact of an Indoor Air Filter on Air Pollution Exposure Reduction and Associated Mortality in Urban Delhi Household. International journal of environmental research and public health\| PubMed ID: 30999693	2019
Comparison of next-generation portable pollution monitors to measure exposure to PM from household air pollution in Puno, Peru. Indoor air\| PubMed ID: 31885107	2020

Ajay Pillarisetti

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