2020
DOI: 10.1016/j.uclim.2020.100664
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Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima

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Cited by 42 publications
(33 citation statements)
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“…For instance, Sharma et al ( 2020 ) reported that air quality has improved due to reduced emission levels of PM 2.5 , PM 10 , CO and NO 2 in 22 Indian cities during lockdown phase. Similarly, Velásquez and Lara ( 2020 ) applied a gaussian approach to determine the probability and correlation between COVID-19 cases and NO 2 concentration in Lima. Sicad et al ( 2020 ) studied the variation in NO 2 and O 3 concentration in four European cities and Wuhan during lockdown period.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Sharma et al ( 2020 ) reported that air quality has improved due to reduced emission levels of PM 2.5 , PM 10 , CO and NO 2 in 22 Indian cities during lockdown phase. Similarly, Velásquez and Lara ( 2020 ) applied a gaussian approach to determine the probability and correlation between COVID-19 cases and NO 2 concentration in Lima. Sicad et al ( 2020 ) studied the variation in NO 2 and O 3 concentration in four European cities and Wuhan during lockdown period.…”
Section: Introductionmentioning
confidence: 99%
“…In order to study the relationship between pollution emissions, economic growth and number of deaths in India, a machine learning algorithm is used in [461] . A classification model based on Reduced-Space Gaussian Process Regression is proposed in [462] that studies the correlation between the number of covid-19 cases and air pollution.…”
Section: Applications Of Ai In Epidemiologymentioning
confidence: 99%
“…Existen varios estudios que resaltan la correlación entre el aumento de concentración de ciertos contaminantes con la mortalidad por COVID-19, donde los infectados son propensos a enfermedades respiratorias crónicas (9,36,37) . Específicamente en relación a las altas concentraciones de NO2 (10,31,38) , como lo demostró Arias & Lara (39) , mediante una evaluación en Lima (Perú) donde las zonas industriales con más de 26 g/m 3 de NO2 pueden aumentar las infecciones por COVID-19. Asimismo, Wu et al (40) encontraron en Estados Unidos que al incrementar 1 ug/m 3 de PM2.5 aumenta la tasa de mortalidad por COVID-19 en un 8%, al mismo tiempo (41) corroboran el incremento de 13% a 21.4% en mortalidad.…”
Section: Efectos De Los Contaminantes Atmosféricos Sobre La Saludunclassified