Multifactorial airborne exposures and respiratory hospital admissions — The example of Santiago de Chile

Franck, Ulrich; Leitte, Arne Marian; Suppan, P.

doi:10.1016/j.scitotenv.2014.08.093

Cited by 26 publications

(9 citation statements)

References 81 publications

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“…(), Santiago is “one of the cities with the most serious air pollution problems in the world” because of emissions from vehicles, manufacturing industries, fossil fuel, and wood combustion, coupled with the fact that the city is surrounded by mountain ranges that prevent air drainage. Several epidemiological studies have provided evidence that air pollution exposure has serious health consequences for the population of Santiago (Franck et al ., ; Prieto‐Parra et al ., ).…”

Section: Data Descriptionmentioning

confidence: 99%

Quantifying Personal Exposure to Air Pollution from Smartphone-Based Location Data

Finazzi

Paci

2019

Biometrics

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Personal exposure assessment is a challenging task that requires both measurements of the state of the environment as well as the individual's movements. In this paper, we show how location data collected by smartphone applications can be exploited to quantify the personal exposure of a large group of people to air pollution. A Bayesian approach that blends air quality monitoring data with individual location data is proposed to assess the individual exposure over time, under uncertainty of both the pollutant level and the individual location. A comparison with personal exposure obtained assuming fixed locations for the individuals is also provided. Location data collected by the Earthquake Network research project are employed to quantify the dynamic personal exposure to fine particulate matter of around 2500 people living in Santiago (Chile) over a 4-month period. For around 30% of individuals, the personal exposure based on people movements emerges significantly different over the static exposure. On the basis of this result and thanks to a simulation study, we claim that even when the individual location is known with nonnegligible error, this helps to better assess personal exposure to air pollution. The approach is flexible and can be adopted to quantify the personal exposure based on any location-aware smartphone application. K E Y W O R D SDynamic models, Markov chain Monte Carlo, particulate matter, space-time modeling

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Section: Data Descriptionmentioning

confidence: 99%

Quantifying Personal Exposure to Air Pollution from Smartphone-Based Location Data

Finazzi

Paci

2019

Biometrics

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“…Epidemiologic evidence can also inform our understanding of CO on susceptible persons, but must be interpreted with caution. Limited evidence suggests associations between 1 and 6 day ambient CO concentrations and increased emergency admissions for persons with COPD and sickle cell anemia [ 78 – 81 ]. However, recent studies have also suggested that low level ambient CO exposures, typically below 5 ppm, may be protective of some respiratory effects [ 82 , 83 ].…”

Section: Discussionmentioning

confidence: 99%

A review of the experimental evidence on the toxicokinetics of carbon monoxide: the potential role of pathophysiology among susceptible groups

Barn¹,

Giles²,

Héroux³

et al. 2018

Environ Health

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BackgroundAcute high level carbon monoxide (CO) exposure can cause immediate cardio-respiratory arrest in anyone, but the effects of lower level exposures in susceptible persons are less well known. The percentage of CO-bound hemoglobin in blood (carboxyhemoglobin; COHb) is a marker of exposure and potential health outcomes. Indoor air quality guidelines developed by the World Health Organization and Health Canada, among others, are set so that CO exposure does not lead to COHb levels above 2.0%, a target based on experimental evidence on toxicodynamic relationships between COHb and cardiac performance among persons with cardiovascular disease (CVD). The guidelines do not consider the role of pathophysiological influences on toxicokinetic relationships. Physiological deficits that contribute to increased CO uptake, decreased CO elimination, and increased COHb formation can alter relationships between CO exposures and resulting COHb levels, and consequently, the severity of outcomes. Following three fatalities attributed to CO in a long-term care facility (LTCF), we queried whether pathologies other than CVD could alter CO-COHb relationships. Our primary objective was to inform susceptibility-specific modeling that accounts for physiological deficits that may alter CO-COHb relationships, ultimately to better inform CO management in LTCFs.MethodsWe reviewed experimental studies investigating relationships between CO, COHb, and outcomes related to health or physiological outcomes among healthy persons, persons with CVD, and six additional physiologically susceptible groups considered relevant to LTCF residents: persons with chronic obstructive pulmonary disease (COPD), anemia, cerebrovascular disease (CBD), heart failure, multiple co-morbidities, and persons of older age (≥ 60 years).ResultsWe identified 54 studies published since 1946. Six studies investigated toxicokinetics among healthy persons, and the remaining investigated toxicodynamics, mainly among healthy persons and persons with CVD. We identified one study each of CO dynamics in persons with COPD, anemia and persons of older age, and no studies of persons with CBD, heart failure, or multiple co-morbidities. Considerable heterogeneity existed for exposure scenarios and outcomes investigated.ConclusionsLimited experimental human evidence on the effects of physiological deficits relevant to CO kinetics exists to support indoor air CO guidelines. Both experimentation and modeling are needed to assess how physiological deficits influence the CO-COHb relationship, particularly at sub-acute exposures relevant to indoor environments. Such evidence would better inform indoor air quality guidelines and CO management in indoor settings where susceptible groups are housed.

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“…Las metodologías estadísticas más comúnmente utilizadas en los análisis de estos tipos de estudios epidemiológicos corresponden a los modelos aditivos generalizados (gAm) 3-7 y modelos lineales generalizados (gLm) de Poisson 5,9-11 , aunque también existen otras metodologías menos comunes 4,12,13 . en el caso de Chile la mayoría de los estudios se han enfocado en la región metropolitana de Santiago [14][15][16][17][18] y la ciudad de temuco 19,20 , pero es más escasa la evidencia en otras zonas del país 21 .…”

Section: Introductionunclassified

Impacto de la contaminación por material particulado sobre las atenciones de urgencias por causas respiratorias en Chillán, Concepción y Los Ángeles

S.¹,

P.²,

R.³

2019

Rev. chil. enferm. respir.

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Impact of pollution by particulate matter on emergency room admissions for respiratory causes in Chillán, Concepción, and Los Ángeles, Chile Objective: To determine the impact of air pollution on respiratory diseases in the districts of Chillán, Concepción and Los Ángeles, Chile between 2013 and 2017. Material and Methods: Generalized linear models (GLM) were estimated from daily data for emergency room admissions disaggregated by type and age range, concentrations of respirable particulate matter (PM 10) and fine particulate matter (PM 2.5), viral index, meteorological and seasonal variables. Results: A positive association is obtained between the analyzed contaminants and the number of emergency room admissions for respiratory causes, especially acute upper respiratory infection (URI) and acute bronchitis / bronchiolitis in Chillán, acute URI in Concepción, and also, acute URI, Influenza and obstructive bronchial crisis in Los Angeles. Conclusions: The increase in the total number of emergency room admissions is approximately 18,695 per year for every 1 μg / m 3 increase in PM concentrations.

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Multifactorial airborne exposures and respiratory hospital admissions — The example of Santiago de Chile

Cited by 26 publications

References 81 publications

Quantifying Personal Exposure to Air Pollution from Smartphone-Based Location Data

Quantifying Personal Exposure to Air Pollution from Smartphone-Based Location Data

A review of the experimental evidence on the toxicokinetics of carbon monoxide: the potential role of pathophysiology among susceptible groups

Impacto de la contaminación por material particulado sobre las atenciones de urgencias por causas respiratorias en Chillán, Concepción y Los Ángeles

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