dc.contributor.author | Vasquez Apéstegui, Bertha Vanessa | |
dc.contributor.author | Parras-Garrido, E. | |
dc.contributor.author | Tapia Aguirre, Vilma Lucrecia | |
dc.contributor.author | Paz-Aparicio, V.M. | |
dc.contributor.author | Rojas, J.P. | |
dc.contributor.author | Sanchez-Ccoyllo, O.R. | |
dc.contributor.author | Gonzales Rengifo, Gustavo Francisco | |
dc.date.accessioned | 2021-10-04T23:00:55Z | |
dc.date.available | 2021-10-04T23:00:55Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/9786 | |
dc.description.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 | en_US |
dc.language.iso | eng | |
dc.publisher | BioMed Central | |
dc.relation.ispartofseries | BMC Public Health | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | adverse event | en_US |
dc.subject | air pollutant | en_US |
dc.subject | Air Pollutants | en_US |
dc.subject | air pollution | en_US |
dc.subject | Air pollution | en_US |
dc.subject | Air Pollution | en_US |
dc.subject | Child | en_US |
dc.subject | Preschool | en_US |
dc.subject | China | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | epidemiology | en_US |
dc.subject | Fatality rate | en_US |
dc.subject | human | en_US |
dc.subject | Humans | en_US |
dc.subject | incidence | en_US |
dc.subject | Incidence | en_US |
dc.subject | Long-term exposure | en_US |
dc.subject | particulate matter | en_US |
dc.subject | Particulate matter | en_US |
dc.subject | Particulate Matter | en_US |
dc.subject | Peru | en_US |
dc.subject | preschool child | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | Social distancing | en_US |
dc.title | Association between air pollution in Lima and the high incidence of COVID-19: findings from a post hoc analysis | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1186/s12889-021-11232-7 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.03.05 | |
dc.relation.issn | 1471-2458 |
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |