Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee.
Department of Physics & Astronomy, Texas Christian University, Fort Worth, Texas.
J Med Virol. 2020 Nov;92(11):2623-2630. doi: 10.1002/jmv.26098. Epub 2020 Jun 19.
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread around the world, causing serious illness and death and creating a heavy burden on the healthcare systems of many countries. Since the virus first emerged in late November 2019, its spread has coincided with peak circulation of several seasonal respiratory viruses, yet some studies have noted limited coinfections between SARS-CoV-2 and other viruses. We use a mathematical model of viral coinfection to study SARS-CoV-2 coinfections, finding that SARS-CoV-2 replication is easily suppressed by many common respiratory viruses. According to our model, this suppression is because SARS-CoV-2 has a lower growth rate (1.8/d) than the other viruses examined in this study. The suppression of SARS-CoV-2 by other pathogens could have implications for the timing and severity of a second wave.
新型冠状病毒严重急性呼吸综合征冠状病毒 2（SARS-CoV-2）已在全球迅速传播，导致严重疾病和死亡，并给许多国家的医疗保健系统带来沉重负担。自 2019 年 11 月下旬该病毒首次出现以来，其传播与几种季节性呼吸道病毒的高峰传播相吻合，但一些研究指出，SARS-CoV-2 与其他病毒之间的合并感染有限。我们使用病毒合并感染的数学模型来研究 SARS-CoV-2 的合并感染，发现许多常见的呼吸道病毒很容易抑制 SARS-CoV-2 的复制。根据我们的模型，这种抑制是因为 SARS-CoV-2 的增长率（1.8/d）低于本研究中检查的其他病毒。其他病原体对 SARS-CoV-2 的抑制可能会影响第二波的时间和严重程度。
