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SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México.
- Source :
-
Infectious Disease Modelling [Infect Dis Model] 2023 Jun; Vol. 8 (2), pp. 445-457. Date of Electronic Publication: 2023 Apr 20. - Publication Year :
- 2023
-
Abstract
- Objectives: To determine whether air pollution or changes in SARS-CoV-2 lineages lead to an increase in mortality.<br />Methods: Descriptive statistics were used to calculate rates of infection (2020-2021). RT-PCR was used to compare viral loads from October 2020 to February 2021. Next-generation sequencing (NGS) (n = 92) was used to examine and phylogenetically map SARS-CoV-2 lineages. A correlative "air pollution/temperature" index (I) was developed using regression analysis. PM <subscript>2.5</subscript> , PM <subscript>10</subscript> , O <subscript>3</subscript> , NO <subscript>2</subscript> , SO <subscript>2</subscript> , and CO concentrations were analyzed and compared to the mortality.<br />Results: The mortality rate during the last year was ∼32%. Relative SARS-CoV-2 viral loads increased in December 2020 and January 2021. NGS revealed that approximately 80% of SARS-CoV-2 linages were B.1.243 (33.7%), B1.1.222 (11.2%), B.1.1 (9%), B.1 (7%), B.1.1.159 (7%), and B.1.2 (7%). Two periods were analyzed, the prehigh- and high-mortality periods and no significant lineage differences or new lineages were found. Positive correlations of air pollution/temperature index values with mortality were found for IPM <subscript>2.5</subscript> and IPM <subscript>10</subscript> . INO <subscript>2</subscript> . ISO <subscript>2</subscript> , and ICO but not for O <subscript>3</subscript> . Using ICO, we developed a model to predict mortality with an estimated variation of ∼±5 deaths per day.<br />Conclusion: The mortality rate in the MZG was highly correlated with air pollution indices and not with SARS-CoV-2 lineage.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2023 The Authors.)
Details
- Language :
- English
- ISSN :
- 2468-0427
- Volume :
- 8
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Infectious Disease Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 37131453
- Full Text :
- https://doi.org/10.1016/j.idm.2023.04.004