Selected article for: "analysis regression and regression analysis"

Author: Casey M Zipfel; Shweta Bansal
Title: Assessing the interactions between COVID-19 and influenza in the United States
  • Document date: 2020_4_1
  • ID: f3ds1rq6_26
    Snippet: Our regression analysis of state-level ILI data allows us to assess which factors are predictive of the decline in ILI cases. We find that COVID-19 risk perception is negatively associated with ILI ( Figure 3A ), while influenza risk perception is positively associated. Additionally, we find that influenza B positive laboratory tests are positively associated with ILI dynamics, but influenza A and humidity are not significantly associated with IL.....
    Document: Our regression analysis of state-level ILI data allows us to assess which factors are predictive of the decline in ILI cases. We find that COVID-19 risk perception is negatively associated with ILI ( Figure 3A ), while influenza risk perception is positively associated. Additionally, we find that influenza B positive laboratory tests are positively associated with ILI dynamics, but influenza A and humidity are not significantly associated with ILI dynamics. At the state-level, 12 states have significant negative relationships between COVID-19 Google trends and ILI ( Figure 3B ). One state, South Carolina, has a strong positive association between COVID-19 Google trends and ILI, which reflects a delayed post-holiday peak (Appendix, Figure S1 ).

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