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Monitoring and modeling of household air quality related to use of different Cookfuels in Paraguay.
Tagle, Matias; Pillarisetti, Ajay; Hernandez, Maria Teresa; Troncoso, Karin; Soares, Agnes; Torres, Ricardo; Galeano, Aida; Oyola, Pedro; Balmes, John; Smith, Kirk R.
Afiliación
  • Tagle M; Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, California.
  • Pillarisetti A; Centro Mario Molina Chile, Providencia, Santiago, Chile.
  • Hernandez MT; Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, California.
  • Troncoso K; Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, California.
  • Soares A; Pan American Health Organization, Washington, District of Columbia.
  • Torres R; Pan American Health Organization, Washington, District of Columbia.
  • Galeano A; Pan American Health Organization, Washington, District of Columbia.
  • Oyola P; Dirección General de Salud Ambiental, San Lorenzo, Paraguay.
  • Balmes J; Centro Mario Molina Chile, Providencia, Santiago, Chile.
  • Smith KR; Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, California.
Indoor Air ; 29(2): 252-262, 2019 03.
Article en En | MEDLINE | ID: mdl-30339298
In Paraguay, 49% of the population depends on biomass (wood and charcoal) for cooking. Residential biomass burning is a major source of fine particulate matter (PM2.5 ) and carbon monoxide (CO) in and around the household environment. In July 2016, cross-sectional household air pollution sampling was conducted in 80 households in rural Paraguay. Time-integrated samples (24 hours) of PM2.5 and continuous CO concentrations were measured in kitchens that used wood, charcoal, liquefied petroleum gas (LPG), or electricity to cook. Qualitative and quantitative household-level variables were captured using questionnaires. The average PM2.5 concentration (µg/m3 ) was higher in kitchens that burned wood (741.7 ± 546.4) and charcoal (107.0 ± 68.6) than in kitchens where LPG (52.3 ± 18.9) or electricity (52.0 ± 14.8) was used. Likewise, the average CO concentration (ppm) was higher in kitchens that used wood (19.4 ± 12.6) and charcoal (7.6 ± 6.5) than in those that used LPG (0.5 ± 0.6) or electricity (0.4 ± 0.6). Multivariable linear regression was conducted to generate predictive models for indoor PM2.5 and CO concentrations (predicted R2  = 0.837 and 0.822, respectively). This study provides baseline indoor air quality data for Paraguay and presents a multivariate statistical approach that could be used in future research and intervention programs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monóxido de Carbono / Contaminación del Aire Interior / Culinaria / Material Particulado Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Paraguay Idioma: En Revista: Indoor Air Asunto de la revista: SAUDE AMBIENTAL Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monóxido de Carbono / Contaminación del Aire Interior / Culinaria / Material Particulado Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Paraguay Idioma: En Revista: Indoor Air Asunto de la revista: SAUDE AMBIENTAL Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido