Supplementary Materials

The PDF file includes:

  • Fig. S1. Weekly proportion of PER-predicted EV-D68 cases in the US and 14 US regions.
  • Fig. S2. Weekly number of PER-predicted EV-D68 cases in the US and 14 US regions.
  • Fig. S3. Weekly number of RV/EV samples in the US and 14 US regions.
  • Fig. S4. Result of the wavelet analysis of the total variance stabilized EV-D68 time series in the US.
  • Fig. S5. Result of the wavelet analysis of the variance stabilized EV-D68 time series in New York.
  • Fig. S6. Result of the wavelet analysis of the variance stabilized EV-D68 time series in Ohio.
  • Fig. S7. Result of the wavelet analysis of the variance- stabilized EV-D68 time series in Missouri.
  • Fig. S8. Result of the wavelet analysis of the variance stabilized EV-D68 time series in the Utah and Colorado and region.
  • Fig. S9. Result of the wavelet analysis of the variance stabilized EV-D68 time series in the Florida, Georgia, and South Carolina region.
  • Fig. S10. A comparison of weekly proportion of PER-predicted EV-D68 cases across 14 US regions.
  • Fig. S11. Comparison of proportions of PER-predicted EV-D68 cases and PCR-confirmed EV-D68 cases from previously published studies.
  • Fig. S12. Center of gravity of PER-predicted EV-D68 cases across 14 US regions using population centers.
  • Fig. S13. Center of gravity of PER-predicted EV-D68 cases across 14 US regions using geographic centers.
  • Fig. S14. A fine scale comparison of weekly proportion of PER-predicted EVD68 cases and weekly number of AFM cases in New York and Colorado.
  • Fig. S15. A comparison of annual proportion of PER-predicted EV-D68 cases and annual number of AFM cases across 14 US regions with lines estimated from a linear mixed model with random slopes and intercepts.
  • Fig. S16. A comparison of annual proportion of PER-predicted EV-D68 cases and annual number of AFM cases across 14 US regions.
  • Fig. S17. A comparison of annual proportion of PER-predicted EV-D68 cases and annual number of AFM cases across 4 census regions.
  • Fig. S18. Per capita birth and death rates per year.
  • Fig. S19. Parameter estimates and confidence intervals for New York.
  • Fig. S20. Parameter estimates and confidence intervals for Ohio.
  • Fig. S21. Parameter estimates and confidence intervals for Missouri.
  • Fig. S22. Parameter estimates and confidence intervals for the Utah and Colorado region.
  • Fig. S23. Parameter estimates and confidence intervals for New York, including the 2018 outbreak.
  • Fig. S24. Parameter estimates and confidence intervals for Ohio, including the 2018 outbreak.
  • Fig. S25. Estimates of the effective reproductive number over time.
  • Table S1. Population sizes in each state.
  • Table S2. Maximum likelihood estimates of the SIR model parameters for 2014– 2017 outbreaks.
  • Table S3. Maximum likelihood estimates of the SIR model parameters for 2014– 2018 outbreaks.
  • Table S4. 95% confidence intervals of the SIR model parameters for 2014–2017 outbreaks.
  • Table S5. 95% confidence intervals of the SIR model parameters for 2014–2018 outbreaks.
  • Legend for data file S1

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Other Supplementary Material for this manuscript includes the following: