Contaminación atmosférica y efectos respiratorios en niños, en mujeres embarazadas y en adultos mayores

Vargas, Sandra; Onatra, William; Osorno, Lucia; Páez, Eduardo Ortega; Sáenz, Orlando

doi:10.31910/rudca.v11.n1.2008.600

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…In the case of pregnant women, we assign 5% for O 3 (µg/m 3 ), 35% for NO 2 (µg/m 3 ), 20% for PM2.5, 30% for CO mg/m 3 , and 10% for PM10. These gases are chosen because, according to [39], exposure to O 3 , NO 2 , and CO is associated with a reduction in neonatal weight, and exposure to PM2.5 and PM10 is related to an increased risk of premature birth. In addition, NO 2 adds delay in the development of children's attention span, according to a study conducted by [40].…”

Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

“…In addition, NO 2 adds delay in the development of children's attention span, according to a study conducted by [40]. We assign 30% for CO because exposure to this gas can directly affect the fetus through oxygen deficiency [39], which can cause brain damage, developmental delay, and complications during pregnancy [41]. For PM2.5 and PM10, we assign a weight of 20% for PM2.5 and 10% for PM10, because they have been associated with complications during pregnancy, such as premature birth, low birth weight, and respiratory problems in the fetus.…”

Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

“…For PM2.5 and PM10, we assign a weight of 20% for PM2.5 and 10% for PM10, because they have been associated with complications during pregnancy, such as premature birth, low birth weight, and respiratory problems in the fetus. Finally, we assign only 5% for O 3 , because we have found studies that say that O 3 exposure increases the risk of premature birth, low birth weight, and respiratory problems in the fetus, but others do not confirm this relation [39].…”

Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

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ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring

Fayos-Jordan,

Araiz-Chapa,

Felici-Castell

et al. 2023

Information

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The increase and diversity of low-cost air quality (AQ) sensors, as well as their flexibility and low power consumption, offers us the opportunity to integrate them into broad AQ wireless sensor networks, with the aim of enabling real-time monitoring and higher spatial sampling density of pollution in all parts of cities. Considering that the vast majority of the population lives in cities and the increase in respiratory/allergic problems in a large part of the population, it is of great interest to offer services and applications to improve their quality of life by avoiding pollution exposure in their movements in the open air. In the ECO4RUPA project, we focus on this kind of service, proposing an inclusive and intelligent routing ecosystem carried out using a network of low-cost AQ sensors with the support of 5G communications along with official AQ monitoring stations, using spatial interpolation techniques to enhance its spatial resolution. The goal of this service is to calculate healthy walking and/or cycling routes according to the particular citizen’s profile and needs. We provide and analyse the results of the proposed route planner under different scenarios (different timetables, congestion road traffic, and routes) and different user profiles, with a special interest in citizens with asthma and pregnant women, since both have special needs. In summary, our approach can lead to an approximately average reduction in pollution exposure of 17.82% while experiencing an approximately average increase in distance travelled of 9.8%.

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Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

Section: Analysis Of the User's Profile: Weighting Pollutantsmentioning

confidence: 99%

See 1 more Smart Citation

ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring

Fayos-Jordan,

Araiz-Chapa,

Felici-Castell

et al. 2023

Information

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show abstract

“…In the case of asthma, this order usually is considered PM2.5, O 3 , SO 2 , and NO 2 [27,28]. In the case of pregnant women, we include all pollutants in this order NO 2 , CO, PM2.5, PM10, and O 3 [29][30][31]. Finally, with chronic obstructive pulmonary diseases with respiratory infections, we mainly focus on PM2.5, PM10, and NO 2 .…”

Section: Impact Of the Different Pollutants Based On User Profilesmentioning

confidence: 99%

Accurate Estimation of Air Pollution in Outdoor Routes for Citizens and Decision Making

Felici-Castell,

Fernandez-Vargas,

Segura-Garcia

et al. 2023

Applied Sciences

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There is clear evidence of the effects of air pollution on health. In this paper, we present an innovative application designed to assess Air Quality (AQ) exposure based on the World Health Organization’s AQ Guidelines, analysing pollutants and their concentrations independently. Our aim is to provide this information to citizens based on their health profile (medical history or requirements) before and during outdoor trips of their choice, both walking and cycling, empowering them to proactively make informed personal decisions about their route choices and identifying potentially unhealthy travel environments. For this purpose, we have access to official data from AQ monitoring stations that are updated periodically every 10 min. Then, by using spatial interpolation techniques (with Ordinary Kriging), we estimate each pollutant over a grid superimposed on the city map. Once the pollutants have been mapped on each route, they are analysed in order to consider the different alternatives for deciding and planning changes in speed or trajectory. We evaluated the application in the city of Valencia (Spain) as a use case under different scenarios, and showed the results to assess exposure to pollution on the routes of citizens.

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“…La población de estudio fueron los menores de 5 años y las personas con 65 años o más, residentes en los 10 municipios de la región del Valle de Aburrá (Barbosa, Bello, Caldas, Copacabana, Envigado, Girardota, Itagüí, La Estrella, Medellín y Sabaneta). La elección de los dos grupos de edad se sustentó en la revisión de literatura, que confirma que son grupos susceptibles de afectación respiratoria por los contaminantes atmosféricos (16,17) .…”

Section: Materiales Y Métodosunclassified

Relación de PM2,5 y Enfermedad Respiratoria Aguda en un territorio de Colombia: Modelos Aditivos Generalizados

et al. 2021

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Introducción: El efecto deletéreo de material particulado fino exterior sobre la salud respiratoria de la población de niños y de adultos mayores, es de interés en salud pública. Objetivo: Establecer el efecto de la contaminación por Material Particulado de menos de 2,5 μm de diámetro (PM2,5), sobre la Enfermedad Respiratoria Aguda (ERA) en los menores de 5 y personas de mínimo 65 años, ajustado por variables meteorológicas y climáticas, en los municipios del Área Metropolitana del Valle de Aburrá (Colombia), 2008 a 2015. Materiales y métodos: Estudio ecológico con información de la red de vigilancia de calidad del aire y de registros de prestación de servicios de salud. Se construyeron Modelos Aditivos Generalizados con función de enlace Poisson y suavización spline. Para cada rezago distribuido se calculó la medida de la asociación e intervalo de confianza. Resultados: Los casos de ERA aumentaron significativamente en los menores de 5 años en Envigado y Caldas (43,3% vs 29,6%) y en los de 65 y más años, en Medellín (13,2%) por cada incremento de 10 µg/m3 en PM2.5 al día quince a partir de la exposición. Conclusiones: Los eventos diarios respiratorios tuvieron especial frecuencia en Medellín y en municipios de la zona sur.

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Contaminación atmosférica y efectos respiratorios en niños, en mujeres embarazadas y en adultos mayores

Cited by 7 publications

References 35 publications

ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring

ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring

Accurate Estimation of Air Pollution in Outdoor Routes for Citizens and Decision Making

Relación de PM2,5 y Enfermedad Respiratoria Aguda en un territorio de Colombia: Modelos Aditivos Generalizados

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