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Espinoza-Guillen JA, Alderete-Malpartida MB, Navarro-Abarca UF, Gómez-Muñoz HK. Temporal variation of the PM 2.5/PM 10 ratio and its association with meteorological factors in a South American megacity: Metropolitan Area of Lima-Callao, Peru. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:452. [PMID: 38613696 DOI: 10.1007/s10661-024-12611-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
The Metropolitan Area of Lima-Callao (MALC) is a South American megacity that has suffered a serious deterioration in air quality due to high levels of particulate matter (PM2.5 and PM10). Studies on the behavior of the PM2.5/PM10 ratio and its temporal variability in relation to meteorological parameters are still very limited. The objective of this study was to analyze the temporal trends of the PM2.5/PM10 ratio, its temporal variability, and its association with meteorological variables over a period of 5 years (2015-2019). For this, the Theil-Sen estimator, bivariate polar plots, and correlation analysis were used. The regions of highest mean concentrations of PM2.5 and PM10 were identified at eastern Lima (ATE station-41.2 µg/m3) and southern Lima (VMT station-126.7 µg/m3), respectively. The lowest concentrations were recorded in downtown Lima (CDM station-16.8 µg/m3 and 34.0 µg/m3, respectively). The highest average PM2.5/PM10 ratio was found at the CDM station (0.55) and the lowest at the VMT station (0.27), indicating a predominance of emissions from the vehicular fleet within central Lima and a greater emission of coarse particles by resuspension in southern Lima. The temporal progression of the ratio of PM2.5/PM10 showed positive and highly significant trends in northern and central Lima with values of 0.03 and 0.1 units of PM2.5/PM10 per year, respectively. In the southern region of Lima, the trend was also significant, showcasing a value of 0.02 units of PM2.5/PM10 per year. At the hourly and monthly level, the PM2.5/PM10 ratio presented a negative and significant correlation with wind speed and air temperature, and a positive and significant correlation with relative humidity. These findings offer insights into identifying the sources of PM pollution and are useful for implementing regulations to reduce air emissions considering both anthropogenic sources and meteorological dispersion patterns.
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Affiliation(s)
- José Abel Espinoza-Guillen
- Programa de Maestría en Ciencias Ambientales, Universidad Nacional Agraria La Molina, Av. La Molina S/N, Lima, Perú.
| | | | - Ursula Fiorela Navarro-Abarca
- Departamento Académico de Ingeniería Ambiental, Universidad Nacional Agraria La Molina, Av. La Molina S/N, Lima, Perú
| | - Hanns Kevin Gómez-Muñoz
- Departamento Académico de Física y Meteorología, Universidad Nacional Agraria La Molina, Av. La Molina S/N, Lima, Perú
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2
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Valdiviezo-Gonzales L, Ortiz Ojeda P, Espinoza Morriberón D, Colombo CV, Rimondino GN, Forero López AD, Fernández Severini MD, Malanca FE, De-la-Torre GE. Influence of the geographic location and house characteristics on the concentration of microplastics in indoor dust. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170353. [PMID: 38296076 DOI: 10.1016/j.scitotenv.2024.170353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/17/2024] [Accepted: 01/20/2024] [Indexed: 02/04/2024]
Abstract
Microplastics (MPs) are known for their ubiquity, having been detected in virtually any environmental compartment. However, indoor MPs concentrations are poorly studied despite being closely related to human exposure. The present study aims to evaluate the presence of MPs in settled atmospheric dust in 60 houses distributed in 12 districts of the metropolitan city of Lima, Peru, and investigate the influence of their geographical location and house characteristics. MPs concentration ranged from 0.01 to 33.9 MPs per mg of dust. Fibers and blue were the most frequent shape and color (98 % and 69 %, respectively). Also, 82 % of the particles were between 500 μm - 5 mm in size. A higher concentration of MPs was identified in the center-south of the city. The houses located on the highest floors (levels 4 to 13 to ground) displayed higher concentrations. MPs were primarily composed of polyester (PET), polypropylene (PP), and ethylene-vinyl acetate (EVA), among others. The polymers identified suggest that MPs derived from the fragmentation of components frequently found in houses, such as synthetic clothing, food storage containers, toys, carpets, floors, and curtains. The incorporation of MPs from the outside into dwellings is not ruled out. Future studies should evaluate the influence of consumption habits and housing characteristics on the abundance of MPs.
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Affiliation(s)
- Lorgio Valdiviezo-Gonzales
- Carrera Profesional de Ingeniería en Seguridad Laboral y Ambiental, Facultad de Ingeniería, Universidad Tecnológica del Perú, Lima, Peru.
| | - Paola Ortiz Ojeda
- Carrera Profesional de Ingeniería en Seguridad Laboral y Ambiental, Facultad de Ingeniería, Universidad Tecnológica del Perú, Lima, Peru
| | - Dante Espinoza Morriberón
- Universidad Tecnológica del Perú (UTP), Facultad de Ingeniería, Jirón Hernán Velarde 260, Cercado de Lima, 15046 Lima, Peru
| | - Carolina V Colombo
- Instituto Argentino de Oceanografía (IADO), CONICET/UNS, CCT-Bahía Blanca, Camino La Carrindanga, km 7.5, Edificio E1, Bahía Blanca B8000FWB, Buenos Aires, Argentina
| | - Guido Noé Rimondino
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC), Departamento de Fisicoquímica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA Córdoba, Argentina
| | - Ana D Forero López
- Instituto Argentino de Oceanografía (IADO), CONICET/UNS, CCT-Bahía Blanca, Camino La Carrindanga, km 7.5, Edificio E1, Bahía Blanca B8000FWB, Buenos Aires, Argentina
| | - Melisa D Fernández Severini
- Instituto Argentino de Oceanografía (IADO), CONICET/UNS, CCT-Bahía Blanca, Camino La Carrindanga, km 7.5, Edificio E1, Bahía Blanca B8000FWB, Buenos Aires, Argentina
| | - Fabio Ernesto Malanca
- Instituto de Investigaciones en Fisicoquímica de Córdoba (INFIQC), Departamento de Fisicoquímica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Ciudad Universitaria, X5000HUA Córdoba, Argentina
| | - Gabriel Enrique De-la-Torre
- Grupo de Investigación de Biodiversidad, Medio Ambiente y Sociedad, Universidad San Ignacio de Loyola, Lima, Peru
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3
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Blanco-Villafuerte L, Hartinger SM. Impact of climate change on the health of peruvians: challenges and strategies for a comprehensive response. Rev Peru Med Exp Salud Publica 2023; 40:130-131. [PMID: 38232258 PMCID: PMC10953657 DOI: 10.17843/rpmesp.2023.402.12998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 06/21/2023] [Indexed: 01/19/2024] Open
Affiliation(s)
- Luciana Blanco-Villafuerte
- Centro Latino Americano de Excelencia en Cambio Climático y Salud, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Stella M Hartinger
- Centro Latino Americano de Excelencia en Cambio Climático y Salud, Universidad Peruana Cayetano Heredia, Lima, Perú
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4
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Carbo-Bustinza N, Belmonte M, Jimenez V, Montalban P, Rivera M, Martínez FG, Mohamed MMH, De La Cruz ARH, da Costa K, López-Gonzales JL. A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru. Sci Rep 2022; 12:22084. [PMID: 36543811 PMCID: PMC9769486 DOI: 10.1038/s41598-022-26575-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
The main objective of this study is to model the concentration of ozone in the winter season on air quality through machine learning algorithms, detecting its impact on population health. The study area involves four monitoring stations: Ate, San Borja, Santa Anita and Campo de Marte, all located in Metropolitan Lima during the years 2017, 2018 and 2019. Exploratory, correlational and predictive approaches are presented. The exploratory results showed that ATE is the station with the highest prevalence of ozone pollution. Likewise, in an hourly scale analysis, the pollution peaks were reported at 00:00 and 14:00. Finally, the machine learning models that showed the best predictive capacity for adjusting the ozone concentration were the linear regression and support vector machine.
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Affiliation(s)
- Natalí Carbo-Bustinza
- Doctorado Interdisciplinario en Ciencias Ambientales, Universidad de Playa Ancha, Valparaíso, Chile
| | - Marisol Belmonte
- Laboratorio de Biotecnología, Medio Ambiente e Ingeniería (LABMAI), Facultad de Ingeniería, Universidad de Playa Ancha, Avda. Leopoldo Carvallo 270, Valparaíso, Chile
- HUB-Ambiental, Universidad de Playa Ancha, Avda. Leopoldo Carvallo 270, Valparaíso, Chile
| | - Vasti Jimenez
- Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Peru
| | - Paula Montalban
- Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Peru
| | - Magiory Rivera
- Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Peru
| | | | | | - Alex Rubén Huamán De La Cruz
- E.P. de Ingenieria Ambiental, Universidad Nacional Intercultural de la Selva Central Juan Santos Atahualpa, La Merced, Peru
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Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima, Perú. Sci Rep 2022; 12:16737. [PMID: 36202880 PMCID: PMC9537318 DOI: 10.1038/s41598-022-20904-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/20/2022] [Indexed: 11/08/2022] Open
Abstract
AbstractA total of 188,859 meteorological-PM$$_{10}$$
10
data validated before (2019) and during the COVID-19 pandemic (2020) were used. In order to predict PM$$_{10}$$
10
in two districts of South Lima in Peru, hourly, daily, monthly and seasonal variations of the data were analyzed. Principal Component Analysis (PCA) and linear/nonlinear modeling were applied. The results showed the highest annual average PM$$_{10}$$
10
for San Juan de Miraflores (SJM) (PM$$_{10}$$
10
-SJM: 78.7 $$\upmu$$
μ
g/m$$^{3}$$
3
) and the lowest in Santiago de Surco (SS) (PM$$_{10}$$
10
-SS: 40.2 $$\upmu$$
μ
g/m$$^{3}$$
3
). The PCA showed the influence of relative humidity (RH)-atmospheric pressure (AP)-temperature (T)/dew point (DP)-wind speed (WS)-wind direction (WD) combinations. Cool months with higher humidity and atmospheric instability decreased PM$$_{10}$$
10
values in SJM and warm months increased it, favored by thermal inversion (TI). Dust resuspension, vehicular transport and stationary sources contributed more PM$$_{10}$$
10
at peak times in the morning and evening. The Multiple linear regression (MLR) showed the best correlation (r = 0.6166), followed by the three-dimensional model LogAP-LogWD-LogPM$$_{10}$$
10
(r = 0.5753); the RMSE-MLR (12.92) exceeded that found in the 3D models (RMSE $$<0.3$$
<
0.3
) and the NSE-MLR criterion (0.3804) was acceptable. PM$$_{10}$$
10
prediction was modeled using the algorithmic approach in any scenario to optimize urban management decisions in times of pandemic.
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Espinoza-Guillen JA, Alderete-Malpartida MB, Cañari-Cancho JH, Pando-Huerta DL, Vargas-La Rosa DF, Bernabé-Meza SJ. Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2022; 25:1-30. [PMID: 35966339 PMCID: PMC9361941 DOI: 10.1007/s10668-022-02592-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 07/21/2022] [Indexed: 06/15/2023]
Abstract
La Oroya is a city in the Peruvian Andes that has suffered a serious deterioration in its air quality, especially due to the high rate of sulfur dioxide (SO2) emissions, which underlines the importance of knowing its sources of contamination and variation over the years. In this sense, this study aimed to evaluate the immission levels and determine the sources of SO2 contamination in La Oroya. This analysis was performed using the hourly concentration data of SO2, and meteorological variables (wind speed and direction), which were analyzed for a period of three years (2018-2020). Graphs of time series, wind and pollutant roses, bivariate polar graphs, clustering k-means, nonparametric statistical tests, and the application of the conditional bivariate probability function were performed to analyze the data and identify the emission sources. The mean concentration of SO2 was 264.2 μg m-3 for the study period, where 55.66 and 2.37% of the evaluated days exceeded the guideline values recommended by the World Health Organization and the Peruvian Environmental Quality Standard for air for 24 h, respectively. The results showed a defined pattern for the daily and monthly variations, with peaks in the morning hours (0900-1000 h LT) and at the end of the year (December), respectively. The main sources of SO2 emissions identified were light and heavy vehicles that travel through the Central Highway, the La Oroya Metallurgical Complex, the transit of vehicles within the city, and the diesel-electric locomotives that provide cargo transportation services and tourism passenger transportation. The article attempts to contribute to the development of adequate air quality management policies.
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Affiliation(s)
| | | | - Jimmy Hans Cañari-Cancho
- Departamento Académico de Ingeniería Ambiental, Universidad Nacional Agraria La Molina, Lima, Peru
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7
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Junior DPM, Bueno C, da Silva CM. The Effect of Urban Green Spaces on Reduction of Particulate Matter Concentration. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2022; 108:1104-1110. [PMID: 35064787 PMCID: PMC8783195 DOI: 10.1007/s00128-022-03460-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
In an urban scenario, one of the air pollutants most harmful to human health and environmental is the particulate matter (PM). Considering that urban green areas can contribute to mitigating the effects of PM, this work compares the concentration of PM2.5 in two closer locations in Rio de Janeiro, in order to verify how vegetation cover can actually improve air quality. One is the entrance to the Rebouças Tunnel (RT) and the other is the Rio de Janeiro Botanical Garden (RJBG). For this purpose, PM2.5 samples were taken from September 2017 to March 2018 using a Large Volume Sampler (LVS). The results reveal that RT has a higher concentration of PM2.5 in almost all samples. The RJBG obtains concentrations around 33% less than the other area, suggesting that the presence of urban green areas like the RJBG can reduce PM2.5 levels when compared to places with less vegetation cover, providing better air quality.
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Affiliation(s)
| | - Cecília Bueno
- University Veiga de Almeida, Tijuca Campus, Rio de Janeiro, Brazil
- Department Vertebrate, Nacional Museum of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cleyton Martins da Silva
- University Veiga de Almeida, Tijuca Campus, Rio de Janeiro, Brazil.
- Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Klaić ZB, Leiva-Guzmán MA, Brozinčević A. Influence of number of visitors and weather conditions on airborne particulate matter mass concentrations at the Plitvice Lakes National Park, Croatia during summer and autumn. Arh Hig Rada Toksikol 2022; 73:1-14. [PMID: 35390243 PMCID: PMC8999585 DOI: 10.2478/aiht-2022-73-3610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 11/01/2021] [Accepted: 03/01/2022] [Indexed: 11/20/2022] Open
Abstract
We investigated the influence of local meteorological conditions and number of visitors on ambient particulate matter (PM) mass concentrations and particle fraction ratios at the Plitvice Lakes National Park between July and October 2018. Outdoor mass concentrations of particles with aerodynamic diameters of less than 1, 2.5, and 10 μm (PM1, PM2.5, and PM10, respectively) and indoor PM1 were measured with two light-scattering laser photometers set up near the largest and most visited Kozjak Lake. Our findings suggest that the particles mainly originated from background sources, although some came from local anthropogenic activities. More specifically, increases in both indoor and outdoor mass concentrations coincided with the increase in the number of visitors. Indoor PM1 concentrations also increased with increase in outdoor air temperature, while outdoor PMs exhibited U-shaped dependence (i.e., concentrations increased only at higher outdoor air temperatures). This behaviour and the decrease in the PM1/PM2.5 ratio with higher temperatures suggests that the production and growth of particles is influenced by photochemical reactions. The obtained spectra also pointed to a daily but not to weekly periodicity of PM levels.
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Affiliation(s)
| | | | - Andrijana Brozinčević
- Dr Ivo Pevalek Scientific Research Centre, Plitvice Lakes National Park, PlitviceCroatia
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9
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Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru. Sci Rep 2021; 11:24232. [PMID: 34930975 PMCID: PMC8688545 DOI: 10.1038/s41598-021-03650-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/07/2021] [Indexed: 11/08/2022] Open
Abstract
The prediction of air pollution is of great importance in highly populated areas because it directly impacts both the management of the city's economic activity and the health of its inhabitants. This work evaluates and predicts the Spatio-temporal behavior of air quality in Metropolitan Lima, Peru, using artificial neural networks. The conventional feedforward backpropagation known as Multilayer Perceptron (MLP) and the Recurrent Artificial Neural network known as Long Short-Term Memory networks (LSTM) were implemented for the hourly prediction of [Formula: see text] based on the past values of this pollutant and three meteorological variables obtained from five monitoring stations. The models were validated using two schemes: The Hold-Out and the Blocked-Nested Cross-Validation (BNCV). The simulation results show that periods of moderate [Formula: see text] concentration are predicted with high precision. Whereas, for periods of high contamination, the performance of both models, the MLP and LSTM, were diminished. On the other hand, the prediction performance improved slightly when the models were trained and validated with the BNCV scheme. The simulation results showed that the models obtained a good performance for the CDM, CRB, and SMP monitoring stations, characterized by a moderate to low level of contamination. However, the results show the difficulty of predicting this contaminant in those stations that present critical contamination episodes, such as ATE and HCH. In conclusion, the LSTM recurrent artificial neural networks with BNCV adapt more precisely to critical pollution episodes and have better predictability performance for this type of environmental data.
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10
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Vu BN, Tapia V, Ebelt S, Gonzales GF, Liu Y, Steenland K. The association between asthma emergency department visits and satellite-derived PM 2.5 in Lima, Peru. ENVIRONMENTAL RESEARCH 2021; 199:111226. [PMID: 33957138 PMCID: PMC8195863 DOI: 10.1016/j.envres.2021.111226] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 04/04/2021] [Accepted: 04/22/2021] [Indexed: 05/06/2023]
Abstract
BACKGROUND Asthma affects millions of people worldwide. Lima, Peru is one of the most polluted cities in the Americas but has insufficient ground PM2.5 (particulate matter that are 2.5 μm or less in diameter) measurements to conduct epidemiologic studies regarding air pollution. PM2.5 estimates from a satellite-driven model have recently been made, enabling a study between asthma and PM2.5. OBJECTIVE We conducted a daily time-series analysis to determine the association between asthma emergency department (ED) visits and estimated ambient PM2.5 levels in Lima, Peru from 2010 to 2016. METHODS We used Poisson generalized linear models to regress aggregated counts of asthma on district-level population weighted PM2.5. Indicator variables for hospitals, districts, and day of week were included to account for spatial and temporal autocorrelation while assessing same day, previous day, day before previous and average across all 3-day exposures. We also included temperature and humidity to account for meteorology and used dichotomous percent poverty and gender variables to assess effect modification. RESULTS There were 103,974 cases of asthma ED visits during the study period across 39 districts in Lima. We found a 3.7% (95% CI: 1.7%-5.8%) increase in ED visits for every interquartile range (IQR, 6.02 μg/m3) increase in PM2.5 same day exposure with no age stratification. For the 0-18 years age group, we found a 4.5% (95% CI: 2.2%-6.8%) increase in ED visits for every IQR increase in PM2.5 same day exposure. For the 19-64 years age group, we found a 6.0% (95% CI: 1.0%-11.0%) increase in ED visits for every IQR in average 3-day exposure. For the 65 years and up age group, we found a 16.0% (95% CI: 7.0%-24.0%) decrease in ED visits for every IQR increase in PM2.5 average 3-day exposure, although the number of visits in this age group was low (4,488). We found no effect modification by SES or gender. DISCUSSION Results from this study provide additional literature on use of satellite-driven exposure estimates in time-series analyses and evidence for the association between PM2.5 and asthma in a low- and middle-income (LMIC) country.
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Affiliation(s)
- Bryan N Vu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
| | - Vilma Tapia
- Laboratory of Reproduction and Endocrinology, Laboratories of Investigation and Development (LID), Faculty of Sciences and Philosophy, Universidad Peruana, Cayetano Heredia, Lima, Peru; Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru; Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Stefanie Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Gustavo F Gonzales
- Laboratory of Reproduction and Endocrinology, Laboratories of Investigation and Development (LID), Faculty of Sciences and Philosophy, Universidad Peruana, Cayetano Heredia, Lima, Peru; Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru; Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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11
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Vasquez-Apestegui BV, Parras-Garrido E, Tapia V, Paz-Aparicio VM, Rojas JP, Sanchez-Ccoyllo OR, Gonzales GF. Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis. BMC Public Health 2021; 21:1161. [PMID: 34134699 PMCID: PMC8208068 DOI: 10.1186/s12889-021-11232-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/07/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) originated in the People's Republic of China in December 2019. Thereafter, a global logarithmic expansion of cases occurred. Some countries have a higher rate of infections despite the early implementation of quarantine. Air pollution might be related to high susceptibility to the virus and associated case fatality rates (deaths/cases*100). Lima, Peru, has the second highest incidence of COVID-19 in Latin America and also has one the highest levels of air pollution in the region. METHODS This study investigated the association of levels of PM2.5 exposure in previous years (2010-2016) in 24 districts of Lima with cases, deaths and case fatality rates for COVID-19. Multiple linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. RESULTS There were 128,700 cases in Lima and 2382 deaths due to COVID-19. The case fatality rate was 1.93%. Previous exposure to PM2.5 (2010-2016) was associated with the number of COVID-19- cases (β = 0.07; 95% CI: 0.034-0.107) and deaths (β = 0.0014; 95% CI: 0.0006-0.0.0023) but not with the case fatality rate. CONCLUSIONS After adjusting for age, sex and number of food markets, the higher rates of COVID-19 in Metropolitan Lima are attributable to the increased PM2.5 exposure in the previous years, among other reasons. Reduction in air pollution from a long-term perspective and social distancing are needed to prevent the spread of virus outbreaks.
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Affiliation(s)
- Bertha V. Vasquez-Apestegui
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
- Laboratory of Endocrinology and Reproduction, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Enrique Parras-Garrido
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Vilma Tapia
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Valeria M. Paz-Aparicio
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
| | - Jhojan P. Rojas
- National Meteorology and Hydrology Service (SENAMHI), Deputy Director of Evaluation of the Atmospheric Environment, Jr. Cahuide 785, Lima, Peru
| | - Odón R. Sanchez-Ccoyllo
- Atmospheric Pollution Research Group, Professional Career of Environmental Engineering, Universidad Nacional Tecnológica de Lima Sur, Sector 3 Grupo 1A 03 - Cercado (Av. Central y Av. Bolivar), Lima, Peru
| | - Gustavo F. Gonzales
- High-Altitude Research Institute; Laboratories of Investigation and Development (LID), Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Av. Honorio Delgado 430, Lima, Peru
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12
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Geochemical Characterization and Heavy Metal Sources in PM10 in Arequipa, Peru. ATMOSPHERE 2021. [DOI: 10.3390/atmos12050641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Particulate matter smaller than 10 μm (PM10) is an important air pollutant that adversely affects human health by increasing the risk of respiratory and cardiovascular diseases. Recent studies reported multiple extreme PM10 levels at high altitude Peruvian cities, which resulted from a combination of high emissions and limited atmospheric circulation at high altitude. However, the emission sources of the PM10 still remain unclear. In this study, we collected PM10 samples from four sites (one industrial site, one urban site, and two rural sites) at the city of Arequipa, Peru, during the period of February 2018 to December 2018. To identify the origins of PM10 at each site and the spatial distribution of PM10 emission sources, we analyzed major and trace element concentrations of the PM10. Of the observed daily PM10 concentrations at Arequipa during our sampling period, 91% exceeded the World Health Organization (WHO) 24-h mean PM10 guideline value, suggesting the elevated PM10 strongly affected the air quality at Arequipa. The concentrations of major elements, Na, K, Mg, Ca, Fe, and Al, were high and showed little variation, suggesting that mineral dust was a major component of the PM10 at all the sites. Some trace elements, such as Mn and Mo, originated from the mineral dust, while other trace elements, including Pb, Sr, Cu, Ba, Ni, As and V, were from additional anthropogenic sources. The industrial activities at Rio Seco, the industrial site, contributed to significant Pb, Cu, and possibly Sr emissions. At two rural sites, Tingo Grande and Yarabamba, strong Cu emissions were observed, which were likely associated with mining activities. Ni, V, and As were attributed to fossil fuel combustion emissions, which were strongest at the Avenida Independencia urban site. Elevated Ba and Cu concentrations were also observed at the urban site, which were likely caused by heavy traffic in the city and vehicle brake wear emissions.
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Romero PE, Calla-Quispe E, Castillo-Vilcahuaman C, Yokoo M, Fuentes-Rivera HL, Ramirez JL, Ampuero A, Ibáñez AJ, Wong P. From the Andes to the desert: 16S rRNA metabarcoding characterization of aquatic bacterial communities in the Rimac river, the main source of water for Lima, Peru. PLoS One 2021; 16:e0250401. [PMID: 33886647 PMCID: PMC8061919 DOI: 10.1371/journal.pone.0250401] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 04/06/2021] [Indexed: 01/04/2023] Open
Abstract
The Rimac river is the main source of water for Lima, Peru's capital megacity. The river is constantly affected by different types of contamination including mine tailings in the Andes and urban sewage in the metropolitan area. In this work, we aim to produce the first characterization of aquatic bacterial communities in the Rimac river using a 16S rRNA metabarcoding approach which would be useful to identify bacterial diversity and potential understudied pathogens. We report a lower diversity in bacterial communities from the Lower Rimac (Metropolitan zone) in comparison to other sub-basins. Samples were generally grouped according to their geographical location. Bacterial classes Alphaproteobacteria, Bacteroidia, Campylobacteria, Fusobacteriia, and Gammaproteobacteria were the most frequent along the river. Arcobacter cryaerophilus (Campylobacteria) was the most frequent species in the Lower Rimac while Flavobacterium succinicans (Bacteroidia) and Hypnocyclicus (Fusobacteriia) were the most predominant in the Upper Rimac. Predicted metabolic functions in the microbiota include bacterial motility and quorum sensing. Additional metabolomic analyses showed the presence of some insecticides and herbicides in the Parac-Upper Rimac and Santa Eulalia-Parac sub-basins. The dominance in the Metropolitan area of Arcobacter cryaerophilus, an emergent pathogen associated with fecal contamination and antibiotic multiresistance, that is not usually reported in traditional microbiological quality assessments, highlights the necessity to apply next-generation sequencing tools to improve pathogen surveillance. We believe that our study will encourage the integration of omics sciences in Peru and its application on current environmental and public health issues.
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Affiliation(s)
- Pedro E Romero
- Departamento de Ciencias Biológicas y Fisiológicas, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Erika Calla-Quispe
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru
| | - Camila Castillo-Vilcahuaman
- Departamento de Ciencias Biológicas y Fisiológicas, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Mateo Yokoo
- Departamento de Ciencias de la Medicina, Facultad de Medicina Humana, Universidad de Piura, Lima, Peru
| | - Hammerly Lino Fuentes-Rivera
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru
| | - Jorge L Ramirez
- Departamento de Biología Celular y Genética, Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - André Ampuero
- Departamento de Malacología y Carcinología, Museo de Historia Natural, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Alfredo J Ibáñez
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru
| | - Paolo Wong
- Departamento de Ciencias de la Medicina, Facultad de Medicina Humana, Universidad de Piura, Lima, Peru
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Vasquez-Apestegui BV, Parras-Garrido E, Tapia V, Paz-Aparicio VM, Rojas JP, Sánchez-Ccoyllo OR, Gonzales GF. Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis. RESEARCH SQUARE 2021:rs.3.rs-39404. [PMID: 32702735 PMCID: PMC7362895 DOI: 10.21203/rs.3.rs-39404/v1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Corona virus disease (COVID-19) originated in China in December 2019. Thereafter, a global logarithmic expansion of the cases has occurred. Some countries have a higher rate of infections despite of early implementation of quarantine. Air pollution could be related to the high susceptibility to SARS-CoV-2 and the associated case-fatality rates (deaths/cases*100). Lima, Peru has the second highest incidence of COVID-19 in Latin America, and it is also one of the cities with highest levels of air pollution in the Region. Methods This study investigated the association of the levels of PM2.5 exposure in the previous years (2010-2016) in 24 districts of Lima with the positive-cases, deaths and case-fatality rates of COVID-19. Multiple Linear regression was used to evaluate this association controlled by age, sex, population density and number of food markets per district. The study period was from March 6 to June 12, 2020. Results There were in Lima 128,700 SARS-CoV-2 positive cases, and 2,382 deaths due to COVID-19. The case-fatality rate was 1.93%. Previous exposure to PM2.5 (years 2010-2016) was associated with number of Covid-19 positive-cases (β = 0.07; 95% CI: 0.034-0.107) and deaths (β = 0.0014; 95% CI: 0.0006-0.0.0023), but not with case-fatality rate. Conclusions the higher rates of COVID-19 in Metropolitan Lima is attributable, among others, to the increased PM2.5 exposure in the previous years after adjusting for age, sex and number of food markets. Reduction of air pollution since a long-term perspective, and social distancing are needed to prevent spreads of virus outbreak.
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Rojas JP, Urdanivia FR, Garay RA, García AJ, Enciso C, Medina EA, Toro RA, Manzano C, Leiva-Guzmán MA. Effects of COVID-19 pandemic control measures on air pollution in Lima metropolitan area, Peru in South America. AIR QUALITY, ATMOSPHERE, & HEALTH 2021; 14:925-933. [PMID: 33558824 PMCID: PMC7859720 DOI: 10.1007/s11869-021-00990-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 01/18/2021] [Indexed: 05/19/2023]
Abstract
UNLABELLED The sanitary measures implemented to control and prevent an increase in infections due to the COVID-19 pandemic have produced an improvement in the air quality of many urban areas around the world. We assessed air quality during the COVID-19 pandemic for particulate matter (PM2.5 and PM10), NO2 and O3 in in metropolitan area of Lima, Peru between pre-lockdown period (February 1 and March 15 of 2020), historical period (March 16 to April 30 2017-2019) and lockdown period (March 16 to April 30, 2020). The complete national lockdown that was implemented in Peru produced statistically significant reductions in the in-air pollutant (PM10 (-40% and -58%), PM2.5 (-31% and -43%) and NO2 (-46% and -48%)), as recorded by the by the ground-based air quality monitoring network throughout the metropolitan area, compared with the corresponding concentrations for the previous weeks and over the same period for 2017-2019. Analysis of the spatial Distribution of satellite data also show decreases in the concentrations of PM10, PM2.5 and NO2 as a result of the containment measures and suspension of activities implemented by the Peruvian government. The concentrations of O3 significantly increased (11% and 170%) as a result of the decrease in the concentration of NO2, confirming that the study area is a hydrocarbon-limited system, as previously reported. The results obtained contribute to the assessment by the regulatory agencies of the possible strategies of control and monitoring of air pollution in the study area. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11869-021-00990-3.
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Affiliation(s)
| | | | - Roy A. Garay
- Servicio Nacional de Meteorología E Hidrología, Lima, Peru
| | - Alan J. García
- Servicio Nacional de Meteorología E Hidrología, Lima, Peru
| | - Carlos Enciso
- Servicio Nacional de Meteorología E Hidrología, Lima, Peru
| | | | | | - Carlos Manzano
- Department of Chemistry, Faculty of Science, University of Chile, Santiago, Chile
- School of Public Health, San Diego State University, San Diego, CA USA
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16
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Sooktawee S, Kanabkaew T, Boonyapitak S, Patpai A, Piemyai N. Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques. Sci Rep 2020; 10:21372. [PMID: 33288849 PMCID: PMC7721878 DOI: 10.1038/s41598-020-78445-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 11/25/2020] [Indexed: 11/25/2022] Open
Abstract
Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 level in Thailand. Major mobile and industrial sources in the area are related to stone crushing, quarrying and mining. This study used statistical techniques to investigate the potential sources influencing high PM10 levels in Na Phra Lan. Hourly PM10 data and related parameters (PM2.5, PMcoarse and NOx) from 2014-2017 were analysed using time series, bivariate polar plot and conditional bivariate probability function (CBPF). Results of diurnal variation revealed two peaks of PM10 levels from 06:00-10:00 and 19:00-23:00 every month. For seasonal variation, high PM10 concentrations were found from October to February associated with the cool and dry weather during these months. The bivariate polar plot and CBPF confirmed two potential sources, i.e., resuspended dust from mobile sources close to the air quality monitoring station (receptor) and industrial sources of mining, quarrying and stone crushing far from the station on the northeast side. While the industrial source areas played a role in background PM10 concentrations, the influence of mobile sources increased the concentrations resulting in two PM10 peaks daily. From the study results, we proposed that countermeasure activities should focus on potential source areas, resuspended road dust from vehicles and the industrial sources related to quarrying and mining, rather than distributing equal attention to all sources.
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Affiliation(s)
- Sirapong Sooktawee
- Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Pathumthani, Thailand
| | - Thongchai Kanabkaew
- Department of Sanitary Engineering, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
- Center of Excellence on Environmental Health and Toxicology, Bangkok, Thailand.
| | - Suteera Boonyapitak
- Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Pathumthani, Thailand
| | - Aduldech Patpai
- Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Pathumthani, Thailand
| | - Nirun Piemyai
- Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Pathumthani, Thailand
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Tapia VL, Vasquez BV, Vu B, Liu Y, Steenland K, Gonzales GF. Association between maternal exposure to particulate matter (PM 2.5) and adverse pregnancy outcomes in Lima, Peru. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:689-697. [PMID: 32355212 PMCID: PMC7853153 DOI: 10.1038/s41370-020-0223-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/16/2020] [Accepted: 04/07/2020] [Indexed: 05/27/2023]
Abstract
The literature shows associations between maternal exposures to PM2.5 and adverse pregnancy outcomes. There are few data from Latin America. We have examined PM2.5 and pregnancy outcomes in Lima. The study included 123,034 births from 2012 to 2016, at three public hospitals. We used estimated daily PM2.5 from a newly created model developed using ground measurements, satellite data, and a chemical transport model. Exposure was assigned based on district of residence (n = 39). Linear and logistic regression analyzes were used to estimate the associations between air pollution exposure and pregnancy outcomes. Increased exposure to PM2.5 during the entire pregnancy and in the first trimester was inversely associated with birth weight. We found a decrease of 8.13 g (-14.0; -1.84) overall and 18.6 g (-24.4, -12.8) in the first trimester, for an interquartile range (IQR) increase (9.2 µg/m3) in PM2.5. PM2.5 exposure was positively associated with low birth weight at term (TLBW) during entire pregnancy (OR: 1.11; 95% CI: 1.03-1.20), and at the first (OR: 1.11; 95% CI: 1.03-1.20), second (OR: 1.09; 95% CI: 1.01-1.17), and third trimester (OR: 1.10; 95% CI: 1.02-1.18) per IQR (9.2 µg/m3) increase. Higher exposure to PM2.5 was also associated with increased risk of small for gestational age (SGA). There were no statistically significant associations between PM2.5 exposure and preterm births (PTB). Exposure to higher concentrations of PM2.5 in Lima may decrease birth weight and increase the frequency of TLBW and SGA. Our study was inconsistent with the literature in finding no associations with preterm birth.
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Affiliation(s)
- V L Tapia
- Laboratorio de Reproducción y Endocrinología, LID, Universidad Peruana Cayetano Heredia, Lima, Peru.
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru.
| | - B V Vasquez
- Laboratorio de Reproducción y Endocrinología, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - B Vu
- Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Y Liu
- Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - K Steenland
- Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - G F Gonzales
- Laboratorio de Reproducción y Endocrinología, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
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Tapia V, Steenland K, Sarnat SE, Vu B, Liu Y, Sánchez-Ccoyllo O, Vasquez V, Gonzales GF. Time-series analysis of ambient PM 2.5 and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:680-688. [PMID: 31745179 PMCID: PMC7234897 DOI: 10.1038/s41370-019-0189-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 08/26/2019] [Accepted: 09/19/2019] [Indexed: 05/21/2023]
Abstract
INTRODUCTION There have been no time-series studies of air pollution in Peru. Here we evaluate the effect of ambient PM2.5 on emergency room (ER) visits in Lima. METHODS We estimated daily PM2.5 levels at a 1 km2 resolution during 2010-2016 using ground measurements, satellite data, and chemical transport model simulations. Population-weighted average daily PM2.5 levels were calculated for each district in Lima (n = 40), and assigned to patients based on residence. ER visits for respiratory and circulatory diseases were gathered from nine large public hospitals. Poisson regression was used to estimate the rate ratio for daily ER visits with change in daily PM2.5, controlling for meteorology, time trends, and district. RESULTS For each interquartile range (IQR) increase in PM2.5, respiratory disease ER visits increased 4% (95% CI: 0-5%), stroke visits 10% (3-18%), and ischemic heart disease visits (adults, 18-64 years) 11% (-1, 24%). Districts with higher poverty showed significantly stronger associations of PM2.5 and respiratory disease ER visits than districts with lower poverty. Effects were diminished 24-42% using Lima-wide instead of district-specific PM2.5 levels. CONCLUSIONS Short-term exposure to ambient PM2.5 is associated with increases in ER visits in Lima for respiratory diseases and stroke, and among middle-aged adults, ischemic heart disease.
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Affiliation(s)
- V Tapia
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - K Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA.
| | - S E Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - B Vu
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - Y Liu
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - O Sánchez-Ccoyllo
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
- Professional Career of Environmental Engineering, Universidad Nacional Tecnológica de Lima Sur (UNTELS), Lima, Peru
| | - V Vasquez
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - G F Gonzales
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
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Tapia V, Steenland K, Vu B, Liu Y, Vásquez V, Gonzales GF. PM 2.5 exposure on daily cardio-respiratory mortality in Lima, Peru, from 2010 to 2016. Environ Health 2020; 19:63. [PMID: 32503633 PMCID: PMC7275326 DOI: 10.1186/s12940-020-00618-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 05/26/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND There have been no studies of air pollution and mortality in Lima, Peru. We evaluate whether daily environmental PM2.5 exposure is associated to respiratory and cardiovascular mortality in Lima during 2010 to 2016. METHODS We analyzed 86,970 deaths from respiratory and cardiovascular diseases in Lima from 2010 to 2016. Estimated daily PM2.5 was assigned based on district of residence. Poisson regression was used to estimate associations between daily district-level PM2.5 exposures and daily counts of deaths. RESULTS An increase in 10 μg/m3 PM2.5 on the day before was significantly associated with daily cardiorespiratory mortality (RR 1.029; 95% CI: 1.01-1.05) across all ages and in the age group over 65 (RR 1.04; 95% CI: 1.005-1.09) which included 74% of all deaths. We also observed associations with circulatory deaths for all age groups (RR 1.06; 95% CI: 1.01-1.11), and those over 65 (RR 1.06; 95% CI 1.00-1.12). A borderline significant trend was seen (RR 1.05; 95% CI 0.99-1.06; p = 0.10) for respiratory deaths in persons aged over 65. Trends were driven by the highest quintile of exposure. CONCLUSIONS PM2.5 exposure is associated with daily cardiorespiratory mortality in Lima, especially for older people. Our data suggest that the existing limits on air pollution exposure are too high.
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Affiliation(s)
- Vilma Tapia
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kyle Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory U, Atlanta, GA USA
| | - Bryan Vu
- Department of Environmental Health, Rollins School of Public Health, Emory U, Atlanta, GA USA
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory U, Atlanta, GA USA
| | - Vanessa Vásquez
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Gustavo F. Gonzales
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
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Davila Cordova JE, Tapia Aguirre V, Vasquez Apestegui V, Ordoñez Ibarguen L, Vu BN, Steenland K, Gonzales Rengifo GF. Association of PM 2.5 concentration with health center outpatient visits for respiratory diseases of children under 5 years old in Lima, Peru. Environ Health 2020; 19:7. [PMID: 31941512 PMCID: PMC6964058 DOI: 10.1186/s12940-020-0564-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 01/07/2020] [Indexed: 05/08/2023]
Abstract
BACKGROUND Lima is one of the more polluted cities in Latin America. High levels of PM2.5 have been shown to increase health center outpatient visits of respiratory diseases. METHODS Health center outpatient visits for children < 5 years for childhood respiratory disease (acute lower respiratory infections (ALRI), pneumonia and acute bronchiolitis/asthma) from 498 public clinics in Lima were available on a weekly basis from 2011 to 2015 from Peru's Ministry of Health (MINSA). The association between the average weekly concentrations of PM2.5 was evaluated in relation to the number of weekly health center outpatient visits for children. Weekly PM2.5 values were estimated using a recently developed model that combined data observed from ground monitors, with data from space satellite and meteorology. Ground monitoring data came from 10 fixed stations of the Peruvian National Service of Meteorology and Hydrology (SENAMHI) and from 6 mobile stations located in San Juan de Miraflores by Johns Hopkins University. We conducted a time-series analysis using a negative binomial model. RESULTS We found a significant association between exposure to PM2.5 and all three types of respiratory diseases, across all age groups. For an interquartile increase in PM2.5, we found an increase of 6% for acute lower respiratory infections, an increase of 16-19% for pneumonia, and an increase of 10% for acute bronchiolitis / asthma. CONCLUSIONS Higher emissions of environmental pollutants such as PM2,5 could be a trigger for the increase of health center outpatients visits for respiratory diseases (ALRI, pneumonia and asthma), which are themselves risk factors for mortality for children in Lima province, Peru.
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Affiliation(s)
- Jennifer Estefanía Davila Cordova
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Vilma Tapia Aguirre
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Vanessa Vasquez Apestegui
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Bryan N. Vu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA
| | - Kyle Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322 USA
| | - Gustavo F. Gonzales Rengifo
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
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Morales-Ancajima VC, Tapia V, Vu BN, Liu Y, Alarcón-Yaquetto DE, Gonzales GF. Increased Outdoor PM 2.5 Concentration Is Associated with Moderate/Severe Anemia in Children Aged 6-59 Months in Lima, Peru. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2019; 2019:6127845. [PMID: 31428166 PMCID: PMC6681625 DOI: 10.1155/2019/6127845] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/27/2019] [Accepted: 07/08/2019] [Indexed: 12/25/2022]
Abstract
Anemia affects 1.62 billion people worldwide. Although iron deficiency is the main cause of anemia, several other factors may explain its high prevalence. In this study, we sought to analyze the association between outdoor particulate matter PM2.5 levels with anemia prevalence in children aged 6-59 months residing in Lima, Peru (n = 139,368), one of the cities with the worst air pollution in Latin America. The study period was from 2012 to 2016. Anemia was defined according to the World Health Organization (Hb < 11 g/dL). PM2.5 values were estimated by a mathematical model that combined data observed from monitors, with satellite and meteorological data. PM2.5 was analyzed by quintiles. Multiple linear and logistic regressions were used to estimate the associations between hemoglobin concentration (beta) and anemia (odds ratio) with PM2.5, after adjusting by covariates. Prevalence of anemia was 39.6% (95% confidence interval (CI): 39.3-39.9). Mild anemia was observed in 30.8% of children and moderate/severe in 8.84% of children. Anemic children compared with nonanemic children are mainly males, have low body weight, higher rate of stunting, and live in an environment with high PM2.5 concentration. A slight decrease in hemoglobin (4Q B: -0.03, 95% CI: -0.05 to -0.02; 5Q B: -0.04, 95% CI: -0.06 to -0.01) and an increase in the probability of moderate/severe anemia (4Q OR: 1.18, 95% CI: 1.10-1.27; 5Q OR: 1.18, 95% CI: 1.08-1.29) were observed with increased exposure to PM2.5. We conclude that outdoor PM2.5 levels were significantly associated with decreased hemoglobin values and an increase in prevalence of moderate/severe anemia in children under 5 years old.
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Affiliation(s)
- Valeria C. Morales-Ancajima
- Endocrinology and Reproduction Unit, Research and Development Laboratories (LID), Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Vilma Tapia
- Endocrinology and Reproduction Unit, Research and Development Laboratories (LID), Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Bryan N. Vu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dulce E. Alarcón-Yaquetto
- Endocrinology and Reproduction Unit, Research and Development Laboratories (LID), Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima, Peru
- Biomedical Informatics in Global Health Unit, School of Public Health, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Gustavo F. Gonzales
- Endocrinology and Reproduction Unit, Research and Development Laboratories (LID), Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
- Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima, Peru
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22
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Vu BN, Sánchez O, Bi J, Xiao Q, Hansel NN, Checkley W, Gonzales GF, Steenland K, Liu Y. Developing an Advanced PM 2.5 Exposure Model in Lima, Peru. REMOTE SENSING 2019; 11. [PMID: 31372305 PMCID: PMC6671674 DOI: 10.3390/rs11060641] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
It is well recognized that exposure to fine particulate matter (PM2.5) affects health adversely, yet few studies from South America have documented such associations due to the sparsity of PM2.5 measurements. Lima's topography and aging vehicular fleet results in severe air pollution with limited amounts of monitors to effectively quantify PM2.5 levels for epidemiologic studies. We developed an advanced machine learning model to estimate daily PM2.5 concentrations at a 1 km2 spatial resolution in Lima, Peru from 2010 to 2016. We combined aerosol optical depth (AOD), meteorological fields from the European Centre for Medium-Range Weather Forecasts (ECMWF), parameters from the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), and land use variables to fit a random forest model against ground measurements from 16 monitoring stations. Overall cross-validation R2 (and root mean square prediction error, RMSE) for the random forest model was 0.70 (5.97 μg/m3). Mean PM2.5 for ground measurements was 24.7 μg/m3 while mean estimated PM2.5 was 24.9 μg/m3 in the cross-validation dataset. The mean difference between ground and predicted measurements was -0.09 μg/m3 (Std.Dev. = 5.97 μg/m3), with 94.5% of observations falling within 2 standard deviations of the difference indicating good agreement between ground measurements and predicted estimates. Surface downwards solar radiation, temperature, relative humidity, and AOD were the most important predictors, while percent urbanization, albedo, and cloud fraction were the least important predictors. Comparison of monthly mean measurements between ground and predicted PM2.5 shows good precision and accuracy from our model. Furthermore, mean annual maps of PM2.5 show consistent lower concentrations in the coast and higher concentrations in the mountains, resulting from prevailing coastal winds blown from the Pacific Ocean in the west. Our model allows for construction of long-term historical daily PM2.5 measurements at 1 km2 spatial resolution to support future epidemiological studies.
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Affiliation(s)
- Bryan N. Vu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Odón Sánchez
- Carrera Profesional de Ingeniería Ambiental, Universidad Nacional Tecnológica de Lima Sur (UNTELS), cruce Av. Central y Av. Bolivar, Villa El Salvador, Lima 15102, Peru
| | - Jianzhao Bi
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Qingyang Xiao
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Nadia N. Hansel
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Gustavo F. Gonzales
- Endocrinology and Reproduction Unit, Research and Development Laboratories (LID), Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
- Instituto de Investigaciones de la Altura, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Kyle Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
- Correspondence:
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23
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Chemical Characterization of PM2.5 at Rural and Urban Sites around the Metropolitan Area of Huancayo (Central Andes of Peru). ATMOSPHERE 2019. [DOI: 10.3390/atmos10010021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The purpose of this study was to determine PM2.5 mass concentration and the contents of trace elements and water-soluble ions in samples collected inside the Metropolitan area of Huancayo. Four monitoring stations were installed at three urban areas (UNCP, HYO, and CHI) and one rural (IGP). The sampling campaign was carried out from March 2017 to November 2017. The PM2.5 content was determined by gravimetric method, and fifteen trace elements (TE) and seven water-soluble ions were detected by inductively coupled plasma mass spectrometry (ICP–MS), and ion chromatography (IC), respectively. Datasets were assessed by one ANOVA test to detect significant differences among monitoring station. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied for source identification. The mean annual concentration of PM2.5 mass concentrations has ranged (average) from 3.4 to 36.8 µg/m3 (16.6 ± 6.8 µg/m3) for the monitoring stations under study. The annual World Health Organization thresholds and national air quality standards were exceeded. Significant differences (p < 0.05) were observed between most trace elements at urban and rural areas. PCA and HCA illustrated that the most important sources of traces element originated of natural origin (soil re-suspension) and vehicular sources (fuel combustion, abrasion of vehicles tires, wear car components).
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24
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Kulas JA, Hettwer JV, Sohrabi M, Melvin JE, Manocha GD, Puig KL, Gorr MW, Tanwar V, McDonald MP, Wold LE, Combs CK. In utero exposure to fine particulate matter results in an altered neuroimmune phenotype in adult mice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 241:279-288. [PMID: 29843010 PMCID: PMC6082156 DOI: 10.1016/j.envpol.2018.05.047] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 01/17/2018] [Accepted: 05/15/2018] [Indexed: 05/06/2023]
Abstract
Environmental exposure to air pollution has been linked to a number of health problems including organ rejection, lung damage and inflammation. While the deleterious effects of air pollution in adult animals are well documented, the long-term consequences of particulate matter (PM) exposure during animal development are uncertain. In this study we tested the hypothesis that environmental exposure to PM 2.5 μm in diameter in utero promotes long term inflammation and neurodegeneration. We evaluated the behavior of PM exposed animals using several tests and observed deficits in spatial memory without robust changes in anxiety-like behavior. We then examined how this affects the brains of adult animals by examining proteins implicated in neurodegeneration, synapse formation and inflammation by western blot, ELISA and immunohistochemistry. These tests revealed significantly increased levels of COX2 protein in PM2.5 exposed animal brains in addition to changes in synaptophysin and Arg1 proteins. Exposure to PM2.5 also increased the immunoreactivity for GFAP, a marker of activated astrocytes. Cytokine concentrations in the brain and spleen were also altered by PM2.5 exposure. These findings indicate that in utero exposure to particulate matter has long term consequences which may affect the development of both the brain and the immune system in addition to promoting inflammatory change in adult animals.
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Affiliation(s)
- Joshua A Kulas
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Jordan V Hettwer
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Mona Sohrabi
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Justine E Melvin
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Gunjan D Manocha
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Kendra L Puig
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Matthew W Gorr
- Dorothy M. Davis Heart and Lung Research Institute and Department of Physiology and Cell Biology, The Ohio State University College of Medicine, Columbus, OH, USA; College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Vineeta Tanwar
- Dorothy M. Davis Heart and Lung Research Institute and Department of Physiology and Cell Biology, The Ohio State University College of Medicine, Columbus, OH, USA; College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Michael P McDonald
- Department of Neurology, The University of Tennessee Health Science Center, 855 Monroe Avenue, Suite 415, Memphis, TN, USA
| | - Loren E Wold
- Dorothy M. Davis Heart and Lung Research Institute and Department of Physiology and Cell Biology, The Ohio State University College of Medicine, Columbus, OH, USA; College of Nursing, The Ohio State University, Columbus, OH, USA
| | - Colin K Combs
- Department of Biomedical Sciences, UND School of Medicine and Health Sciences, Grand Forks, ND, USA.
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