Ryan Demkowicz, MD, P. R. LaSala, MD, Peter Stoilov, PhD, James Denvir, PhD, Jonathan Moddle, Peter Perrotta, MD
{"title":"COVID-19 Pandemic Effects on Seasonal Influenza Patterns in West Virginia","authors":"Ryan Demkowicz, MD, P. R. LaSala, MD, Peter Stoilov, PhD, James Denvir, PhD, Jonathan Moddle, Peter Perrotta, MD","doi":"10.21885/wvmj.2023.09","DOIUrl":null,"url":null,"abstract":"Introduction The COVID-19 pandemic began in West Virginia (WV) in March 2020 at the end of the seasonal increase in influenza virus infections. Diagnostic and surveillance testing for influenza continued throughout the pandemic because these viruses cause similar diseases and the effects of SARS-CoV-2 on seasonal influenza patterns were unpredictable. Methods Positivity rates for SARS-CoV-2 and influenza viruses were studied using test results obtained from samples collected across an academic health system from July 2018 through June 2022. Trends in COVID-19 variants were assessed using data obtained from national and local databases. Data were analyzed to detect differences in and correlations between SARS-CoV-2 and influenza positivity rates. Results Test positivity rates were higher for the 602,109 SARS-CoV-2 tests than the 186,563 influenza tests performed during the study period (13.7% vs. 3.5%, p<0.0001). SARS-CoV-2 test positivity rose and fell with the emergence of SARS-CoV-2 variants of differing infectivity, being highest when the omicron variant predominated. Significant negative correlations between the number of SARS-CoV-2 and influenza positive tests were seen throughout stages of the pandemic. The normally expected influenza season did not occur during winter 2020 through spring 2021, and there were essentially no influenza cases during the delta surge. A more typical pattern of seasonal influenza was observed in late 2021 to early 2022 during the omicron surge. Conclusion There was an inverse correlation between SARS-CoV-2 and influenza test positivity rates observed throughout several COVID-19 surges in WV. The reasons for these correlations are unclear.","PeriodicalId":23032,"journal":{"name":"The West Virginia medical journal","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The West Virginia medical journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21885/wvmj.2023.09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction The COVID-19 pandemic began in West Virginia (WV) in March 2020 at the end of the seasonal increase in influenza virus infections. Diagnostic and surveillance testing for influenza continued throughout the pandemic because these viruses cause similar diseases and the effects of SARS-CoV-2 on seasonal influenza patterns were unpredictable. Methods Positivity rates for SARS-CoV-2 and influenza viruses were studied using test results obtained from samples collected across an academic health system from July 2018 through June 2022. Trends in COVID-19 variants were assessed using data obtained from national and local databases. Data were analyzed to detect differences in and correlations between SARS-CoV-2 and influenza positivity rates. Results Test positivity rates were higher for the 602,109 SARS-CoV-2 tests than the 186,563 influenza tests performed during the study period (13.7% vs. 3.5%, p<0.0001). SARS-CoV-2 test positivity rose and fell with the emergence of SARS-CoV-2 variants of differing infectivity, being highest when the omicron variant predominated. Significant negative correlations between the number of SARS-CoV-2 and influenza positive tests were seen throughout stages of the pandemic. The normally expected influenza season did not occur during winter 2020 through spring 2021, and there were essentially no influenza cases during the delta surge. A more typical pattern of seasonal influenza was observed in late 2021 to early 2022 during the omicron surge. Conclusion There was an inverse correlation between SARS-CoV-2 and influenza test positivity rates observed throughout several COVID-19 surges in WV. The reasons for these correlations are unclear.
2019冠状病毒病大流行于2020年3月流感病毒感染季节性增加结束时在西弗吉尼亚州开始。在整个大流行期间,流感诊断和监测检测一直在继续,因为这些病毒引起类似的疾病,而且SARS-CoV-2对季节性流感模式的影响是不可预测的。方法利用2018年7月至2022年6月在一个学术卫生系统采集的样本的检测结果,研究SARS-CoV-2和流感病毒的阳性率。使用从国家和地方数据库获得的数据评估了COVID-19变体的趋势。分析数据以检测SARS-CoV-2和流感阳性率之间的差异和相关性。结果研究期间602109例SARS-CoV-2检测阳性率高于186563例流感检测阳性率(13.7% vs. 3.5%, p<0.0001)。SARS-CoV-2检测阳性率随传染性不同的SARS-CoV-2变异体的出现而有升有降,以组粒变异体为主时阳性率最高。在大流行的各个阶段,SARS-CoV-2的数量与流感阳性检测之间存在显著的负相关。通常预期的流感季节在2020年冬季至2021年春季期间没有出现,在三角洲激增期间基本上没有流感病例。在2021年底至2022年初的流感爆发期间,观察到一种更典型的季节性流感模式。结论SARS-CoV-2与流感检测阳性率呈负相关。这些相关性的原因尚不清楚。