Modeling approaches and performance for estimating personal exposure to household air pollution: A case study in Kenya

Indoor Air ◽  
2021 ◽  
Author(s):  
Michael Johnson ◽  
Ricardo Piedrahita ◽  
Ajay Pillarisetti ◽  
Matthew Shupler ◽  
Diana Menya ◽  
...  
2013 ◽  
Vol 2013 (1) ◽  
pp. 5893
Author(s):  
Daniel Pope ◽  
Eva Rehfuess ◽  
Kirstie Jagoe ◽  
Mukesh Dherani ◽  
Nigel Bruce

2013 ◽  
Vol 2013 (1) ◽  
pp. 5892 ◽  
Author(s):  
Bryan Christensen ◽  
Tamara Pilishvili ◽  
Jennifer Loo ◽  
Debbi Stanistreet ◽  
Ibrahim Sadumah ◽  
...  

2013 ◽  
Author(s):  
Susmita Dasgupta ◽  
Paul Martin ◽  
Hussain A. Samad

2016 ◽  
Vol 147 ◽  
pp. 331-342 ◽  
Author(s):  
Christina Norris ◽  
Mark S. Goldberg ◽  
Julian D. Marshall ◽  
Marie-France Valois ◽  
T. Pradeep ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 402 ◽  
Author(s):  
Ricardo Piedrahita ◽  
Evan R. Coffey ◽  
Yolanda Hagar ◽  
Ernest Kanyomse ◽  
Christine Wiedinmyer ◽  
...  

Biomass burning for home energy use is a major environmental health concern. Improved cooking technologies could generate environmental health benefits, yet prior results regarding reduced personal exposure to air pollution are mixed. In this study, two improved stove types were distributed over four study groups in Northern Ghana. Participants wore real-time carbon monoxide (CO) monitors to measure the effect of the intervention on personal exposures. Relative to the control group (those using traditional stoves), there was a 30.3% reduction in CO exposures in the group given two Philips forced draft stoves (p = 0.08), 10.5% reduction in the group given two Gyapa stoves (locally made rocket stoves) (p = 0.62), and 10.2% reduction in the group given one of each (p = 0.61). Overall, CO exposure for participants was low given the prevalence of cooking over traditional three-stone fires, with 8.2% of daily samples exceeding WHO Tier-1 standards. We present quantification methods and performance of duplicate monitors. We analyzed the relationship between personal carbonaceous particulate matter less than 2.5 microns (PM2.5) and CO exposure for the dataset that included both measurements, finding a weak relationship likely due to the diversity of identified air pollution sources in the region and behavior variability.


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