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dc.contributor.authorVasquez-Apestegui, Bertha
dc.contributor.authorParras-Garrido, Enrique
dc.contributor.authorTapia, Vilma
dc.contributor.authorPaz-Aparicio, Valeria M.
dc.contributor.authorRojas Quincho, Jhojan Pool
dc.contributor.authorSanchez-Ccoyllo, Odón R.
dc.contributor.authorGonzales, Gustavo F.
dc.date.accessioned2022-05-03T17:59:56Z
dc.date.available2022-05-03T17:59:56Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/20.500.12542/2022
dc.description.abstractBackground: 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.es_PE
dc.formatapplication/pdfes_PE
dc.language.isospaes_PE
dc.publisherBioMed Central Ltdes_PE
dc.relation.urihttps://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-11232-7es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourceRepositorio Institucional - SENAMHIes_PE
dc.sourceServicio Nacional de Meteorología e Hidrología del Perúes_PE
dc.subjectCOVID-19es_PE
dc.subjectAir Pollutiones_PE
dc.subjectAir Pollutiones_PE
dc.subjectParticulate Matteres_PE
dc.titleAssociation between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysises_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doi10.1186/s12889-021-11232-7
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.08es_PE


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