Author: Gupta, Ankit; Bherwani, Hemant; Gautam, Sneha; Anjum, Saima; Musugu, Kavya; Kumar, Narendra; Anshul, Avneesh; Kumar, Rakesh
Title: Air pollution aggravating COVID-19 lethality? Exploration in Asian cities using statistical models Cord-id: f69rhfmi Document date: 2020_7_15
ID: f69rhfmi
Snippet: The present work estimates the increased risk of coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 by establishing the linkage between the mortality rate in the infected cases and the air pollution, specifically Particulate Matters (PM) with aerodynamic diameters ≤ 10 µm and ≤ 2.5 µm. Data related to nine Asian cities are analyzed using statistical approaches, including the analysis of variance and regression model. The present work suggests that ther
Document: The present work estimates the increased risk of coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 by establishing the linkage between the mortality rate in the infected cases and the air pollution, specifically Particulate Matters (PM) with aerodynamic diameters ≤ 10 µm and ≤ 2.5 µm. Data related to nine Asian cities are analyzed using statistical approaches, including the analysis of variance and regression model. The present work suggests that there exists a positive correlation between the level of air pollution of a region and the lethality related to COVID-19, indicating air pollution to be an elemental and concealed factor in aggravating the global burden of deaths related to COVID-19. Past exposures to high level of PM(2.5) over a long period, is found to significantly correlate with present COVID-19 mortality per unit reported cases (p < 0.05) compared to PM(10), with non-significant correlation (p = 0.118). The finding of the study can help government agencies, health ministries and policymakers globally to take proactive steps by promoting immunity-boosting supplements and appropriate masks to reduce the risks associated with COVID-19 in highly polluted areas.
Search related documents:
Co phrase search for related documents- additional number and low income: 1, 2, 3, 4, 5
- additional number and lung disease: 1
- additional stress and low income: 1, 2, 3
- living standard and low income: 1, 2
- living standard and lung cancer: 1
- living standard and lung disease: 1
- logarithmic transformation and low income: 1
- long time period and low income: 1, 2
- low income and lung cancer: 1, 2, 3, 4, 5, 6, 7, 8, 9
- low income and lung disease: 1, 2, 3, 4, 5
Co phrase search for related documents, hyperlinks ordered by date