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Relación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocaña

dc.contributor.authorArmesto Arenas, Alexander
dc.contributor.authorCañon Barriga, Julio Eduardo
dc.date.accessioned2025-05-14T19:14:20Z
dc.date.available2025-05-14T19:14:20Z
dc.date.issued2024
dc.identifier.issn2145-6453en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5356
dc.description.abstractContextualización: esta investigación se enfoca en la salud pública y la ca-lidad del aire de la zona norte residencial de la ciudad de Ocaña, impactada por una vía nacional con tráfico lento que provoca altas emisiones de material particulado (PM10).Vacío de conocimiento: la investigación responde a las siguientes inquietudes: ¿cómo se relacionan las concentraciones de PM10 y PM2.5 en la zona?; ¿hacia dón-de se dispersa el PM10 emitido por las fuentes móviles?; ¿cuáles son las repercu-siones de la dispersión en los barrios de la zona norte?; ¿cuáles han sido los grupos etarios significativamente afectados por infecciones respiratorias agudas (IRA) debidas a las condiciones climáticas y el material particulado? Propósito: analizar la correlación del ma-terial particulado (PM10 y PM2.5) con las condiciones meteorológicas y con el gra-do de correspondencia con las infecciones respiratorias agudas (IRA) de la zona nor-te de Ocaña, Colombia.Metodología: se utilizó información oficial de los años 2018, 2019 y 2021, in-cluyendo mediciones propias de PM2.5 mediante un equipo automatizado. Las variables relacionadas con las IRA se agruparon por sexo, edad, barrio; y se RESUMENrelacionaron con el material particulado y condiciones meteorológicas, mediante análisis factorial múltiple (AFM) y mode-los de regresión lineal.Resultados y conclusiones: Resultados: la relación PM2.5/PM10 es significativa (Pearson r =0.812), y sus concentracio-nes son superiores a las permitidas. El PM10 tuvo correlación significativa con el viento, la precipitación y la humedad (-0.51, -0.53 y -0.56). Las mujeres presen-taron más casos registrados de IRA que los hombres, con una mayor correlación significativa (p<0.05) con el PM10 y la hu-medad relativa, especialmente para eda-des entre uno a cuatro años, y mayores de 70 años. Asimismo, los barrios cercanos a la vía nacional, orientados en la dirección del viento, mostraron mayores casos de IRA, además de mayor correlación signi-ficativa con el PM10. En conclusión, las concentraciones de PM10 y PM2.5 están significativamente correlacionadas entre sí, e influenciadas por las condiciones cli-máticas, del mismo modo, sus impactos en la salud respiratoria son significativos en niños menores de cinco años, especial-mente los que residen en la dirección de dispersión del PM10en_US
dc.language.isospaen_US
dc.relationhttps://hemeroteca.unad.edu.co/index.php/riaa/article/view/6537en_US
dc.titleRelación entre material particulado, variables meteorológicas e infecciones respiratorias agudas en la zona norte de Ocañaen_US
dc.title.translatedRelationship between particulate matter, meteorological variables and acute respiratory infections in the northern area of Ocañaen_US
dc.contributor.cvlac0001392013en_US
dc.contributor.cvlac0000225525en_US
dc.contributor.googlescholarF9JfTrgAAAAJ&hlen_US
dc.contributor.googlescholarJSIHyOYAAAAJ&hlen_US
dc.contributor.orcid0000-0002-6567-1812en_US
dc.contributor.orcid0000-0001-8041-2774en_US
dc.contributor.researchgateAlexander-Arenasen_US
dc.contributor.researchgateJulio-Eduardo-Canon-Barrigaen_US
dc.description.abstractenglishContextualization: This research focu-ses on public health and air quality in the northern residential zone of the city of Ocaña, affected by a national road with slow traffic that causes high emissions of particulate matter (PM10).Knowledge gap: The research addresses the following concerns: How do PM10 and PM2.5 concentrations relate in the zone? Where does the dispersion of PM10 emit-ted by mobile sources occur? What are the impacts of PM dispersal in the northern neighborhoods? What age groups have been significantly impacted by Acute Res-piratory Infections (ARIs) due to climatic conditions and particulate matter? Purpose: To analyze the correlation of particulate matter (PM10 and PM2.5) with weather conditions and the degree of correspondence of acute respiratory in-fections (ARIs) in the north zone of Oca-ña, Colombia.Methodology: Official information from 2018, 2019, and 2021 was used, including PM2.5 measurements using automated equipment. Variables related to ARIs were grouped by sex, age, and neighborhood, and they were related to particulate ma-tter and meteorological conditions using multiple factor analysis (MFA) and linear regression models.Results and conclusions: Results: The PM2.5/PM10 ratio is significant (Pearson r=0.812) and its concentrations are higher than allowed. PM10 had a significant co-rrelation with wind, precipitation, and humidity (-0.51, -0.53, and -0.56). Women had more recorded cases of ARI than men, with a significant correlation (p<0.05) with PM10 and relative humidity, especia-lly for ages one to four and over 60 years. Likewise, neighborhoods downwind and near the national road, showed higher ca-ses of ARI and a greater significant corre-lation with PM10. In conclusion, PM10 and PM2.5 concentrations are significant-ly correlated with each other and influen-ced by climatic conditions in Ocaña. Their impacts on respiratory health are signifi-cant in children under five years of age, especially those residing in the direction of main PM10 dispersalen_US
dc.subject.proposalcontaminación atmosféricaen_US
dc.subject.proposalcondiciones meteorológicasen_US
dc.subject.proposalsaluden_US
dc.subject.proposaltráfico urbanoen_US
dc.subject.proposalvía urbanaen_US
dc.subject.keywordsatmospheric pollutionen_US
dc.subject.keywordsweather conditionsen_US
dc.subject.keywordshealthen_US
dc.subject.keywordsurban trafficen_US
dc.subject.keywordsurban roaden_US
dc.publisher.facultyFacultad ciencias agrarias y del ambienteen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
dc.relation.referencesAlcaldía municipal de Ocaña. (2015). For-mulación del plan maestro de movilidad del municipio de Ocaña. https://ocananor-tedesantander.micolombiadigital.gov.co/sites/ocananortedesantander/con-tent/files/000069/3450_plan_de_mo-vilidad.pdfen_US
dc.relation.referencesAli Akbarzadeh, M., Khaheshi, I., Sharifi, A., Yousefi, N., Naderian, M., Namazi, M. H., and Nickdoost, N. (2018). The association between exposure to air pollutants including PM 10, PM 2.5, ozone, carbon monoxide, sulfur diox-ide, and nitrogen dioxide concentra-tion and the relative risk of developing STEMI: A case-crossover design. Envi-ronmental Research, 16, 299-303. https://doi.org/10.1016/j.envres.2017.11.020en_US
dc.relation.referencesArregocés, H. A., Rojano, R. & Restrepo, G. (2021). Impact of lockdown on par-ticulate matter concentrations in Co-lombia during the COVID-19 pan-demic. Science of The Total Environment, 764. https://doi.org/10.1016/j.scito-tenv.2020.142874en_US
dc.relation.referencesBecklakea, M. R., & Kauffmann, F. (1999). Gender differences in airway behaviour over the human life span. Thorax, 54,1119–1138. http://dx.doi.org/10.1136/thx.54.12.1119en_US
dc.relation.referencesBiglari, H., Mohammadi, S., Porazmey, M. J., Chuturkova, E. J., Khaniabadi, R. Z., Goudarzi, G., Mahboubi, M., Moham-madi, B. & Yari, A. R. (2017). Relation-ship between air particulate matter and meteorological parameters. Fresenius environmental bulletin,26(6), 4047-4056.en_US
dc.relation.referencesBiancofiore, F., Busilacchio, M., Verdec-chia, M., Tomassetti, B., Aruffo, E., Bianco, S., & Di Carlo, P. (2017). Recur-sive neural network model for analy-sis and forecast of PM10 and PM2. 5. Atmospheric Pollution Research, 8(4), 652-659. https://doi.org/10.1016/j.apr.2016.12.014en_US
dc.relation.referencesByrne, M. P., & O’Gorman, P. A. (2018). Trends in continental temperature and humidity directly linked to ocean warming. Proceedings of the national academy of sciences of the United States of Americans, 115(19). https://doi.org/10.1073/pnas.1722312115en_US
dc.relation.referencesCao, Q., Rui, G., & Liang, Y. (2018). Study on PM2. 5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model. BMC public health, 18(1), 1-10. https://doi.org/10.1186/s12889-018-5844-4en_US
dc.relation.referencesCataldo, R., Arancibia, M., Stojanova, J., y Papuzinski, C. (2019). Conceptos generales en bioestadística y epide-miología clínica: estudios observacio-nales con diseños transversal y ecológi-co. Medwave, 19(8), e7698. https://doi.org/10.5867/medwave.2019.08.7698en_US
dc.relation.referencesChen, C., Zhu, P., Lan, L., Zhou, L., Liu, R., Sun, Q., . . . Li, T. (2018). Short-term exposures to PM 2.5 and cause-specif-ic mortality of cardiovascular health in China. Environmental Research, 161. 188-194. https://doi.org/10.1016/j.en-vres.2017.10.046en_US
dc.relation.referencesColla, N. S., Botté, S. E., & Marcovecchio, J. E. (2021). Atmospheric particulate pollution in South American megac-ities. Environmental Reviews. https://doi.org/10.1139/er-2020-0105en_US
dc.relation.referencesContreras, E. (2016). Evaluación de los efec-tos en salud relacionados con la contamina-ción del aire para el sector ciudadela norte de la ciudad de Ocaña, norte de Santan-der. [Trabajo de pregrado, Universidad Francisco de Paula Santander Ocaña]. Biblioteca digital Universidad Francis-co de Paula Santander Ocañaen_US
dc.relation.referencesCorreal, M. E., Marthá, J. E., y Sarmien-to, R. (2015). Influencia de la variabi-lidad climática en las enfermedades respiratorias agudas en Bogotá. Biomédica, 35(SPE), 130-138. https://doi.org/10.7705/biomedica.v35i0.2456en_US
dc.relation.referencesCuello, J. A., Armesto, A. A., Hernán-dez, C. J. D., y Pedraza, F. M. (2017). Hongos asociados al material parti-culado, en Ocaña Norte de Santander. Revista Ingenio, 12(1). https://doi.or-g/10.22463/2011642X.2126en_US
dc.relation.referencesDel Campo, N. M. S., y Matamoros, L. Z. (2020). Técnicas estadísticas multiva-riadas para el estudio de la causalidad en Medicina. Revista de Ciencias Médicas de Pinar del Río, 24(2), 1-14.en_US
dc.relation.referencesDepartamento Nacional de Estadística. [DANE]. (2018). Censo Nacional de Po-blación y Vivienda. Estadísticas, Bogo-tá. https://www.dane.gov.co/index.php/estadisticas-por-tema/demogra-fia-y-poblacion/censo-nacional-de-po-blacion-y-vivenda-2018en_US
dc.relation.referencesDumas, A., Bernard, L., & Yannick Poquet, G. L. (2018). The role of the lung micro-biota and the gut-lung axis in respi-ratory infectious diseases. Cell Micro-biol, 20(12). https://doi.org/10.1111/cmi.12966en_US
dc.relation.referencesEspinosa, M., y Franco, J. F. (2019). Gestión de la Calidad del Aire en Bogotá [Confe-rencia]. Foro nacional ambiental. Bo-gotá, Colombia. https://www.forona-cionalambiental.org.co/wp-content/uploads/2019/09/MonicaEspinosaY-JuanFranco-comprimido.pdfen_US
dc.relation.referencesEspinoza, J. F., Herrera, L. C., Remolina, B. R., & Pachón, J. E. (2017). Stimation of resuspended dust emission factors before, during and after road paving process in Bogotá. Ciencia e Ingeniería Neogranadina, 27(1), 43-60. https://doi.org/10.18359/rcin.1797en_US
dc.relation.referencesEzhilkumar, M. R., & Karthikeyan, S. (2020). Vertical Measurement of PM2. 5 and PM10 in Street Canyons and Co-hort Health Risk Estimation at Chen-nai, South India. Environmental Engi-neering Science, 37(8), 535-547. https://doi.org/10.1089/ees.2019.0494en_US
dc.relation.referencesFeng, W., Li, H., Wanga, S., Lutterodt, N. V., An, J., Liu, Y., . . . Guo, X. (2019). Short-term PM10 and emergency de-partment admissions for selective car-diovascular and respiratory diseases in Beijing, China. Science of the Total Environment, 657, 213-221. https://doi.org/10.1016/j.scitotenv.2018.12.066en_US
dc.relation.referencesFerrero, F., Abrutzky, R., Ossorio, M. F., & Torres, F. (2019). Effects of contam-ination and climate in the Pediatric Emergency Department visits for acute respiratory infection in the City of Bue-nos Aires. Arch Argent Pediatr, 117(6), 368-374. https://doi.org/10.5546/aap.2019.eng.368en_US
dc.relation.referencesFonseca, K. J., y Delgado, E. C. (2017). In-ventario de emisiones por fuentes móviles en el perímetro urbano del municipio de Ocaña Norte de Santander. [Trabajo de pregrado, Universidad Francisco de Paula Santander Ocaña]. Biblioteca di-gital Universidad Francisco de Paula Santander Ocañaen_US
dc.relation.referencesGabbe, C. J., Oxlaj, E., & Wang, J. (2019). Residential development and near-roadway air pollution: Assessing risk and mitigation in San José, Cal-ifornia. Journal of Transport & Health, 13, 78-89. https://doi.org/10.1016/j.jth.2019.03.011en_US
dc.relation.referencesGalindo, N. E., Varea, N. M., & Crespo, J. (2018). Characterization of metals in PM1 and PM10 and health risk eval-uation at an urban site in the western Mediterranean. Chemosphere, 201, 243-250. https://doi.org/10.1016/j.che-mosphere.2018.02.162en_US
dc.relation.referencesGil, D. A., Peláeza, L. M., Jaramillo, T. Á., Correa, O. M. A., & Saldarriaga, M. J. C. (2020). Evaluating the impact of PM2. 5 atmospheric pollution on pop-ulation mortality in an urbanized val-ley in the American tropic. Atmospheric Environment, 224. 117343 https://doi.org/10.1016/j.atmosenv.2020.117343en_US
dc.relation.referencesGrisales, R. H., Montealegre, N., Piñeros, J. G., Ospina, D., y Nieto, E. (2022). Re-lación de PM2, 5 y Enfermedad Res-piratoria Aguda en un territorio de Colombia: Modelos Aditivos Gene-ralizados. Universidad y Salud, 24(1), 45-54. https://doi.org/10.22267/rus.222401.256en_US
dc.relation.referencesHan, L., Zhou, W., Li, W., & Qian, Y. (2017). Global population exposed to fine particulate pollution by popula-tion increase and pollution expansion. Air Quality, Atmosphere & Health, 10(10), 1221-1226. https://doi.org/10.1007/s11869-017-0506-8en_US
dc.relation.referencesHe, M., Chen, J., He, Y., Li, Y., Long, Q., Qiao, Y., & Zhang, K. (2021). Trends and Source Contribution Characteristics of SO2, NOX, PM10 and PM2.5 Emissions in Sichuan Province from 2013 to 2017. Atmosphere, 12(2), 189. https://doi.org/10.3390/atmos12020189en_US
dc.relation.referencesHernández, C. Z., Giraldo, G. D., & Tobón, R. B. (2020). Physicochemical Char-acterization of Airborne Particulate Matter in Medellín, Colombia, and its Use in an-In Silico Study of Ventricular Action Potential. Water, Air, & Soil Pol-lution, 231.https://doi.org/10.1007/s11270-020-04884-5en_US
dc.relation.referencesHime, N. J., Marks, G. B., & Cowie, C. T. (2018). A Comparison of the Health Effects of Ambient Particulate Mat-ter Air Pollution from Five Emission Sources. International journal of environ-mental research and public health, 15(6), 508 1206. https://doi.org/10.3390/ijerph15061206en_US
dc.relation.referencesHouston, A. R., Lynch, K., Ostrach, B., & Isaacs, Y. S. (2020). United States im-migration detention amplifies disease interaction risk: A model for a transna-tional ICE-TB-DM2 syndemic. Global Public Healt,1-20. https://doi.org/10.1080/17441692.2021.1919737en_US
dc.relation.referencesHwa H. G., WeiTu, T. C., Wang, C., Chang, S. C., Yu, J. Y., Lin, G. Y., . . . Tsai, C. J. (September de 2021). Long-term eval-uation and calibration of three types of low-cost PM2. 5 sensors at different air quality monitoring stations. Journal of Aerosol Science, 157, 105829. https://doi.org/10.1016/j.jaerosci.2021.105829en_US
dc.relation.referencesInstituto Departamental de Salud. [IDS]. (2019). Informe de comportamiento de eventos de interés en salud pública. Nor-te de Santander. Semanas epidemioló-gicas. Informe de salud, Instituto De-partamental de Salud, Cúcuta. http://salasituacionalidsnds.weebly.com/in-formacioacuten.htmlen_US
dc.relation.referencesJaykaran Charan, P. B., Dutta, S., Kaur, R., Bist, S. K., Detha, M. D., Kanchan, T., . . . Sharma, P. (2020). Use of Complemen-tary and Alternative Medicine (CAM) and Home Remedies by COVID-19 Patients: A Telephonic Survey. Indian Journal of Clinical Biochemistry, 36(1), 108-111. https://link.springer.com/ar-ticle/10.1007/s12291-020-00931-4en_US
dc.relation.referencesJeong, C. H., Wang, J. M., Hilker, N., Jerzy Debosz, U. S., Su, Y., Noble, M., . . . J. Evans, D. H. (2019). Temporal and spa-tial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions. Atmospheric Enviroment, 198, 55-69. https://doi.org/10.1016/j.atmosenv.2018.10.038en_US
dc.relation.referencesJo, E. J., Lee, W. S., Jo, H. Y., Chang Hoon Kim, J. S., Mok, J. H., Kim, M. H., . . . Park, H. K. (2017). Effects of particu-late matter on respiratory disease and the impact of meteorological factors in Busan, Korea. Respiratory Medicine, 124, 79-87. https://doi.org/10.1016/j.rmed.2017.02.010en_US
dc.relation.referencesJohnston, R. B. (2021). An overview of the innate immune system. https://www.uptodate.com/contents/an-over-view-of-the-innate-immune-system#-topicContenten_US
dc.relation.referencesKakareka, S., & Salivonchyk, S. (2020). Assessment of atmospheric pollut-ant dispersion from mobile sources in Antarctica: a case study of Vecherny Oasis. Polar Geography, 43(4), 280-294. https://doi.org/10.1080/1088937X.2020.1766591en_US
dc.relation.referencesKaur, N., Bisht, B., & Kaur, M. (2021). Self Medication Practices among Young-sters: A Global Health Concern. Medi-co-legal Update, 21(1).en_US
dc.relation.referencesLiu, J., Wang, W., Chen, Y. E., & Ping, C. C. (2019). Age Structures and Air Pol-lution: What Role Does Gender Play. Problemy Ekorozwoju, 14(1).en_US
dc.relation.referencesLópez, M. J., y Vega, A. F. (2019). Estrate-gias de mejoramiento de la calidad del aire en ciudades con problemas de contamina-ción. [Monografía. Especialización en gestión ambiental, Universidad de An-tioquia]. Biblioteca digital de la univer-sidad de Antioquia.en_US
dc.relation.referencesMa, Y., Yue, L., Liu, J., He, X., Li, L., Niu, J., & Luo, B. (2020). Association of air pollution with outpatient visits for re-spiratory diseases of children in an ex-heavily polluted Northwestern city, China. BMC Public Health, 20(816), 1-14. https://doi.org/10.1186/s12889-020-08933-wen_US
dc.relation.referencesMahapatra, B., Monika Walia1, W. R., & Saggurti, N. (2020). Effect of exposure to PM10 on child health: evidence based on a large-scale survey from 184 cities in India. BMJ global health, 5(8). 1-8. http://dx.doi.org/10.1136/bm-jgh-2020-002597en_US
dc.relation.referencesMangones, S. C., Jaramillo, P., Rojas, N. Y., & Fischbeck, P. (2020). Air pollution emission effects of changes in transport supply: the case of Bogotá, Colombia. Environmental Science and Pollution Re-search, 27(29), 35971–35978. https://doi.org/10.1007/s11356-020-08481-1en_US
dc.relation.referencesMani, S. A., Mani, F. S., Kumar, A., Shah, S., & Peltier, R. E. (2020). Traffic relat-ed PM2. 5 air quality: Policy options for developing Pacific Island countries. Transportation Research Part D: Transport and Environment, 87, 102519. https://doi.org/10.1016/j.trd.2020.102519en_US
dc.relation.referencesManisalidis, I., Stavropoulou, E., Stavro-poulos, A., & Bezirtzoglou, E. (2020). Environmental and health impacts of air pollution: a review. Frontiers in public health, 8, 1-13. https://doi.org/10.3389/fpubh.2020.00014en_US
dc.relation.referencesMannucci, P. M., & Franchini, M. (2017). Health effects of ambient air pollution in developing countries. International journal of environmental research and public health. International journal of environmental research and public health, 14(9), 1048. https://doi.org/10.3390/ijerph14091048en_US
dc.relation.referencesMansour, E., Vishinkin, R., Rihet, S., Sal-iba, W., Fish, F., Sarfati, P., & Haick, H. (2020). Measurement of tempera-ture and relative humidity in exhaled breath. Sensors and actuators B: Chemical, 304, 127371. https://doi.org/10.1016/j.snb.2019.127371en_US
dc.relation.referencesMolina, G. N. I., Parada, R. S., Arévalo, J. L., & Jiménez, P. A. (2021). Analysis of incidence of air quality on human health: a case study on the relationship between pollutant concentrations and respiratory diseases in Kennedy, Bo-gotá. International Journal of Biometeo-rology, 65. https://link.springer.com/article/10.1007/s00484-020-01955-4en_US
dc.relation.referencesMukherjee, A., & Agrawal, M. (2017). A global perspective of fine particu-late matter pollution and its health effects. Reviews of Environmental Con-tamination and Toxicology, 44, 5-51 https://link.springer.com/chap-ter/10.1007/398_2017_3en_US
dc.relation.referencesNascimento, A. P., Santos, J. M., Mill, J. G., Albuquerque, T. T., Júnior, N. C., Ansel-moReisen, V., & Page, É. C. (2020). Asso-ciation between the incidence of acute respiratory diseases in children and ambient concentrations of SO2, PM10 and chemical elements in fine particles. Environmental Research, 188. https://doi.org/10.1016/j.envres.2020.109619en_US
dc.relation.referencesNino, G., Martínez, C. E., & Gutiérrez, M. J. (2021). Early Microbial–Immune Inter-actions and Innate Immune Training of the Respiratory System during Health and Disease. Children, 8.https://doi.org/10.3390/children8050413en_US
dc.relation.referencesNtziachristos, L., y Samaras, Z. (2019). Guía de inventario de emisiones de conta-minantes atmosféricos. Agencia Europea de Medio Ambiente.en_US
dc.relation.referencesRoy, G. R. I., Rivas, R, R., Pérez, R. M., y Pa-lacios, C. L. (2019). Correlación: no toda correlación implica causalidad. Revista Alergia México, 66(3), 354-360en_US
dc.relation.referencesO’Grady, K. A., Kerry, A. B., Anne, C., & Potter, C. (2018). Review of respiratory diseases among Aboriginal and Torres Strait Islander children. Australian In-digenous HealthBulletin, 18(2). https://eprints.qut.edu.au/119551/en_US
dc.relation.referencesPabón, S. (2019). Contrabando de combus-tible en Norte de Santander: Complizidad fronteriza. https://crudotransparente.com/2019/10/02/complicidad-fron-teriza-el-contrabando-de-combusti-ble-en-norte-de-santander/en_US
dc.relation.referencesPhillips, B. B., Bullock, J. M., L. Osborne, J., & Gaston, K. J. (2021). Spatial ex-tent of road pollution: A national anal-ysis. Science of the Total Environment, 773. https://doi.org/10.1016/j.scito-tenv.2021.145589en_US
dc.relation.referencesPineda, D. A. (2018). Análisis de la concen-tración de material particulado PM10 y PM2.5 en la ciudad de Manizales. [Tesis de maestría, Universidad Nacional]. Biblioteca digital Universidad Nacio-nal.en_US
dc.relation.referencesPineda, Y. C., y Santiago, L. F. (2017). Eva-luación de la contaminación atmosférica respecto al material particulado menor a 10μm, en el casco urbano del municipio de Ocaña, norte de Santander. [Tesis de pre-grado, Universidad Francisco de Paula Santander Ocaña]. Biblioteca digital de la Universidad Francisco de Paula San-tander Ocañaen_US
dc.relation.referencesPosada, E., Gómez, M., y Almanza, J. (2017). Análisis comparativo y mo-delación de las situaciones de calidad del aire en una muestra de ciudades del mundo. Comparación con el caso de Medellín. Revista Politécnica, 13(25). 9-29. https://doi.org/10.33571/rpoli-tec.v13n25a1en_US
dc.relation.referencesPutri, M. S., & Susanna, D. (2019). The Ef-fectiveness of Health Promotion on Knowl-edge of Mothers about Acute Respiratory Infections (ARI) in Mipiran Village, Pad-amara Public Health Center [Conferen-cia]. The 2nd International Meeting of Public Health 2016: Public Health Per-spective of Sustainable Development-Goals: Challenges and Opportunities in Asia Pacific Region, KnE Life Scienc-es, pages 123–128en_US
dc.relation.referencesQuintana, G. R., Polo, G. R., y Santodo-mingo, N. A. (2020). Modelo de re-gresión lineal múltiple para estimar concentración de pm1. Revista interna-cional de contaminación ambiental, 35(1). 179-194. https://doi.org/10.20937/rica.2019.35.01.13en_US
dc.relation.referencesReza, P. Z., Kingham, S., & Pearce, J. (2005). Evaluation of a year-long dis-persion modelling of PM10 using the mesoscale model TAPM for Christ-church, New Zealand. Science of The To-tal Environment, 349, 249-259. https://doi.org/10.1016/j.scitotenv.2005.01.037en_US
dc.relation.referencesRodríguez, V., Gama, C., Ascenso, A., K. Oliveira, Coelho, S., Monteiro, A., . . . López, M. (2021). Assessing air pol-lution in European cities to support a citizen centered approach to air qual-ity management Science of The Total Environment. Science of The Total En-vironment, 799. 149311. https://doi.org/10.1016/j.scitotenv.2021.149311en_US
dc.relation.referencesRodríguez. V. L. A. (2018). Short-term effects of air pollution on respiratory and circulatory morbidity in Colom-bia 2011–2014: A multi-city, time-se-ries analysis. International journal of environmental research and public health, 15(8). https://www.mdpi.com/1660-4601/15/8/1610en_US
dc.relation.referencesSahanavin, N., Prueksasit, T., & Tantrakar-napa, K. (2018). Relationship between PM 10 and PM 2.5 levels in high-traf-fic area determined using path analysis and linear regression. Journal of Envi-ronmental Sciences, 69, 105-114. https://doi.org/10.1016/j.jes.2017.01.017en_US
dc.relation.referencesSantos, P. D., Silva, F. C., Santos, B. W., & Schivinski, a. I. (2019). Early child-hood education professionals’ knowl-edge about prevention, detection and treatment of acute respiratory infec-tions in children. Acta Scuentiarum. Health Sciences, 41, 1-10. https://doi.org/10.4025/actascihealthsci.v41i1.43759en_US
dc.relation.referencesSaygın, M., Taner Gonca, 2. Ö., Has, M., Çalışkan, S., Has, Z. G., & Akkaya, A. (2017). To Investigate the Effects of Air Pollution (PM10 and SO2) on the Re-spiratory Diseases Asthma and Chron-ic Obstructive Pulmonary Disease. Turkish Thoracic Journal, 18(2), 33-39.https://doi.org/10.5152/TurkThora-cJ.2017.16016en_US
dc.relation.referencesSistema de alertas tempranas ante inun-daciones y sequias como medida de adaptación al cambio climático en el departamento de Norte de Santander [SATC] (2021). Incendios https://www.satcnortedesantander.gov.co/#no-ba-ck-buttonen_US
dc.relation.referencesSorensen, G. L. (2018). Surfactant Pro-tein D in Respiratory and Non-Respi-ratory Diseases. Frontiers in medicine. Pulmonary medicine, 5(18). https://doi.org/10.3389/fmed.2018.00018en_US
dc.relation.referencesSoriano, J. B., Kendrick, P. J., Paulson, K. R. (2020). Prevalence and attribut-able health burden of chronic respira-tory diseases, 1990–2017: a systematic analysis for the Global Burden of Dis-ease Study 2017. The Lancet Respirato-ry Medicine, 8, 585-596. https://doi.org/10.1016/S2213-2600(20)30105-3en_US
dc.relation.referencesSosa, B. S., Porta, A., Lerner, J. E. C., Noriega, R. B., & Massolo, L. (2017). Human health risk due to variations in PM10-PM2. 5 and associated PAHs levels. Atmospheric environment, 160, 27-35. https://doi.org/10.1016/j.at-mosenv.2017.04.004en_US
dc.relation.referencesTéllez, L. E. (2019). Calidad de la atención médica y adherencia a la guía de mane-jo colombiana de neumonía adquirida en la comunidad en el Hospital Uni-versitario de Santander: periodo 2014-2015. Medicas UIS, 32(2). https://doi.org/10.18273/revmed.v32n2-2019003en_US
dc.relation.referencesTipanluisa, L. E., y Reina, S. W. (2017). Emisiones Contaminantes de un Mo-tor de Gasolina Funcionando a dos Cotas con Combustibles de dos Cali-dades. Información tecnológica, 28(1). doi: http://dx.doi.org/10.4067/S0718-07642017000100002en_US
dc.relation.referencesThabethe, N. D., & Wichmann, K. V. (2021). Association between ambient air pollution and cause-specific mortal-ity in Cape Town, Durban, and Johan-nesburg, South Africa: any susceptible groups. Environmental Science and Pol-lution Research, 28. https://link.spring-er.com/article/10.1007/s11356-021-13778-wen_US
dc.relation.referencesTobón, L. A., y Cardona-Arias, J. A. (2018). Evaluación de la calidad de los servi-cios médicos según las dimensiones del SERVQUAL en un hospital de Colom-bia. Archivos de medicina, 14(44)en_US
dc.relation.referencesUttajug, A., Ueda, K., Oyoshi, K., Honda, A., & Takano, H. (2021). Association be-tween PM10 from vegetation fire events and hospital visits by children in upper northern Thailand. Science of The Total Environment, 764, 142923. https://doi.org/10.1016/j.scitotenv.2020.142923en_US
dc.relation.referencesWorld Health Organization. (2021). WHO global air quality guidelines: particu-late matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Orga-nization. https://apps.who.int/iris/handle/10665/345329. Licencia: CC BY-NC-SA 3.0 IGOen_US
dc.relation.referencesXue Li, 1. P., Chan, K. Y., Campbell, H., Theodoratou, E., & Rudan, I. (June de 2020). The disease burden of child-hood asthma in China: a systemat-ic review and meta-analysis. Jour-nal of global health, 10(1). https://doi.org/10.7189/2Fjogh.10.01081en_US
dc.relation.referencesXue, F., & Li, X. (2017). The impact of roadside trees on traffic released PM10 in urban street canyon: Aerodynamic and deposition effects. Sustainable cit-ies and society, 30, 195-204. https://doi.org/10.1016/j.scs.2017.02.001en_US
dc.relation.referencesYang Shen, X. Z., Cai Chen, Q. L., Li, X., Qu, W., Xuejian Liu, L. Z., & Chang, S. (January de 2021). The relationship be-tween ambient temperature and acute respiratory and cardiovascular diseases in Shenyang, China. Environmental Sci-ence and Pollution Research, 28(16), 20058-20071. https://link.springer.com/arti-cle/10.1007/s11356-020-11934-2en_US
dc.relation.referencesYu, W., Guo, Y., Shi, L., & Li, S. (2018). The association between long-term exposure to low-level PM2. 5 and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach. PLoS medicine, 17(6), 1-19. https://doi.org/10.1371/journal.pmed.1003141en_US
dc.relation.referencesZafra, C., Suárez, J., & Pachón, J. E. (January de 2021). Public Health Con-siderations for PM10 in a High-Pol-lution Megacity: Influences of Atmo-spheric Condition and Land Coverage. Atmosphere, 12(1), 118. https://www.mdpi.com/2073-4433/12/1/118en_US
dc.identifier.DOIhttps://doi.org/10.22490/21456453.6537en_US


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