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Exposures to carbon monoxide in a cookstove intervention in Northern Ghana

  • Ricardo Piedrahita
  • , Evan R. Coffey
  • , Yolanda Hagar
  • , Ernest Kanyomse
  • , Christine Wiedinmyer
  • , Katherine L. Dickinson
  • , Abraham Oduro
  • , Michael P. Hannigan
  • University of Colorado Boulder
  • University for Development Studies Ghana
  • Colorado School of Public Health
  • National Control for Atmospheric Research

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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 duplicatemonitors. 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.

Original languageEnglish
Article number402
JournalAtmosphere
Volume10
Issue number7
DOIs
StatePublished - Jul 1 2019
Externally publishedYes

Keywords

  • Carbon monoxide
  • Cooking
  • Exposure
  • Micro-environment
  • Mixed effects models

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