Torres-Anguiano Elizabeth, Sánchez-López Itzel, Garduno-Robles Angeles, Rivas-Carrillo Jorge David, Rivera-León Edgar Alfonso, Sánchez-Enríquez Sergio, Ornelas-Hernández Luis Fernando, Zazueta León-Quintero Fernando, Salazar León-Quintero Eduardo Narciso, Juárez-López Guillermo Enrique, Sánchez-Zubieta Fernando Antonio, Ochoa-Bru Mariana, Zepeda-Moreno Abraham
Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico.
Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico.
Infect Dis Model. 2023 Jun;8(2):445-457. doi: 10.1016/j.idm.2023.04.004. Epub 2023 Apr 20.
To determine whether air pollution or changes in SARS-CoV-2 lineages lead to an increase in mortality.
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, PM, O, NO, SO, and CO concentrations were analyzed and compared to the mortality.
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 and IPM. INO. ISO, and ICO but not for O. Using ICO, we developed a model to predict mortality with an estimated variation of ∼±5 deaths per day.
The mortality rate in the MZG was highly correlated with air pollution indices and not with SARS-CoV-2 lineage.
确定空气污染或新冠病毒谱系变化是否会导致死亡率上升。
采用描述性统计方法计算感染率(2020 - 2021年)。使用逆转录聚合酶链反应(RT-PCR)比较2020年10月至2021年2月的病毒载量。使用下一代测序(NGS)(n = 92)检测新冠病毒谱系并进行系统发育图谱绘制。利用回归分析建立了一个相关的“空气污染/温度”指数(I)。分析了细颗粒物(PM)、可吸入颗粒物(PM)、臭氧(O)、一氧化氮(NO)、二氧化硫(SO)和一氧化碳(CO)的浓度,并与死亡率进行比较。
去年的死亡率约为32%。2020年12月和2021年1月新冠病毒相对病毒载量增加。NGS显示,约80%的新冠病毒谱系为B.1.243(33.7%)、B1.1.222(11.2%)、B.1.1(9%)、B.1(7%)、B.1.1.159(7%)和B.1.2(7%)。分析了两个时期,即高死亡率前期和高死亡率期,未发现明显的谱系差异或新谱系。发现细颗粒物污染/温度指数值与死亡率之间存在正相关,涉及细颗粒物(IPM)和可吸入颗粒物(IPM)、一氧化氮(INO)、二氧化硫(ISO)和一氧化碳(ICO),但臭氧(O)不存在这种相关性。利用一氧化碳(ICO),我们建立了一个预测死亡率的模型,估计每天的变化约为±5例死亡。
MZG地区的死亡率与空气污染指数高度相关,与新冠病毒谱系无关。