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20212023
most citedEstimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality

21 citations · 32 across the 6 of their papers we have counts for

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5 papers · 1 filter

stat.AP2023★ 1 cited

Evaluating the Sensitivity of Mortality Attributable to Pollution to Modeling Choices: A Case Study for Colorado

Priyanka N. deSouza, Susan Anenberg, Neal Fann +7

We evaluated the sensitivity of estimated PM2.5 and NO2 health impacts to varying key input parameters and assumptions including: 1) the spatial scale at which impacts are estimate…

stat.AP2023★ 2 cited

Evaluating the Performance of Low-Cost PM2.5 Sensors in Mobile Settings

Priyanka deSouza, An Wang, Yuki Machida +7

Low-cost sensors (LCS) for measuring air pollution are increasingly being deployed in mobile applications but questions concerning the quality of the measurements remain unanswered…

stat.AP2022★ 5 cited

An analysis of degradation in low-cost particulate matter sensors

Priyanka deSouza, Karoline Barkjohn, Andrea Clements +4

Low-cost sensors (LCS) are increasingly being used to measure fine particulate matter (PM2.5) concentrations in cities around the world. One of the most commonly deployed LCS is th…

stat.AP2022★ 2 cited

Evaluation of Model-Based PM Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S

Ellen M. Considine, Jiayuan Hao, Priyanka deSouza +3

Investigating the health impacts of wildfire smoke requires data on people's exposure to fine particulate matter (PM) across space and time. In recent years, it has become…

stat.AP2022★ 1 cited

Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information

Ellen M. Considine, Danielle Braun, Leila Kamareddine +2

Environmental Protection Agency (EPA) air quality (AQ) monitors, the gold standard for measuring air pollutants, are sparsely positioned across the US due to their costliness. Low-…