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      Health risk assessment for particulate matter: application of AirQ+ model in the northern Caribbean region of Colombia

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          Abstract

          Air pollution is considered the world’s most important environmental and public health risk. The annual exposure for particulate matter (PM) in the northern Caribbean region of Colombia between 2011 and 2019 was determined using PM records from 25 monitoring stations located within the area. The impact of exposure to particulate matter was assessed through the updated Global Burden of Disease health risk functions using the AirQ+ model for mortality attributable to acute lower respiratory disease (in children ≤ 4 years); mortality in adults aged > 18 years old attributable to chronic obstructive pulmonary disease, ischaemic heart disease, lung cancer, and stroke; and all-cause post-neonatal infant mortality. The proportions of the prevalence of bronchitis in children and the incidence of chronic bronchitis in adults attributable to PM exposure were also estimated for the population at risk. Weather Research and Forecasting-California PUFF (WRF-CALPUFF) modeling systems were used to estimate the spatiotemporal trends and calculate mortality relative risk due to prolonged PM 2.5 exposure. Proportions of mortality attributable to long-term exposure to PM 2.5 were estimated to be around 11.6% of ALRI deaths in children ≤ 4 years of age, 16.1% for COPD, and 26.6% for IHD in adults. For LC and stroke, annual proportions attributable to PM exposure were estimated to be 9.1% and 18.9%, respectively. An estimated 738 deaths per year are directly attributed to particulate matter pollution. The highest number of deaths per year is recorded in the adult population over 18 years old with a mean of 401 events. The mean risk in terms of the prevalence of bronchitis attributable to air pollution in children was determined to be 109 per 100,000 inhabitants per year. The maximum RR values for mortality (up 1.95%) from long-term PM 2.5 exposure were predicted to correspond to regions downwind to the industrial zone.

          Supplementary information

          The online version contains supplementary material available at 10.1007/s11869-023-01304-5.

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          Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

          Significance Exposure to outdoor concentrations of fine particulate matter is considered a leading global health concern, largely based on estimates of excess deaths using information integrating exposure and risk from several particle sources (outdoor and indoor air pollution and passive/active smoking). Such integration requires strong assumptions about equal toxicity per total inhaled dose. We relax these assumptions to build risk models examining exposure and risk information restricted to cohort studies of outdoor air pollution, now covering much of the global concentration range. Our estimates are severalfold larger than previous calculations, suggesting that outdoor particulate air pollution is an even more important population health risk factor than previously thought.
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            Nonlinear mixed effects models for repeated measures data.

            We propose a general, nonlinear mixed effects model for repeated measures data and define estimators for its parameters. The proposed estimators are a natural combination of least squares estimators for nonlinear fixed effects models and maximum likelihood (or restricted maximum likelihood) estimators for linear mixed effects models. We implement Newton-Raphson estimation using previously developed computational methods for nonlinear fixed effects models and for linear mixed effects models. Two examples are presented and the connections between this work and recent work on generalized linear mixed effects models are discussed.
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              Tropospheric Aerosol Optical Thickness from the GOCART Model and Comparisons with Satellite and Sun Photometer Measurements

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                Author and article information

                Contributors
                harregoces@uniguajira.edu.co
                Journal
                Air Qual Atmos Health
                Air Qual Atmos Health
                Air Quality, Atmosphere, & Health
                Springer Netherlands (Dordrecht )
                1873-9318
                1873-9326
                15 February 2023
                15 February 2023
                : 1-16
                Affiliations
                [1 ]GRID grid.442000.2, ISNI 0000 0001 0095 657X, Grupo de Investigación GISA, Facultad de Ingeniería, , Universidad de La Guajira, ; Riohacha, Colombia
                [2 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, Grupo Procesos Fisicoquímicos Aplicados, Facultad de Ingeniería, , Universidad de Antioquia SIU/UdeA, ; Calle 70 No. 52–21, Medellín, Colombia
                Author information
                http://orcid.org/0000-0003-1313-3841
                Article
                1304
                10.1007/s11869-023-01304-5
                9930048
                822032eb-659d-4813-968d-0eb1527ad75c
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 September 2022
                : 6 January 2023
                Funding
                Funded by: University of la Guajira
                Categories
                Article

                Atmospheric science & Climatology
                airq+ ,pm10,pm2.5,health issues,relative risk
                Atmospheric science & Climatology
                airq+ , pm10, pm2.5, health issues, relative risk

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