npj Viruses (Aug 2024)

Inferring enterovirus D68 transmission dynamics from the genomic data of two 2022 North American outbreaks

  • Martin Grunnill,
  • Alireza Eshaghi,
  • Lambodhar Damodaran,
  • Sandeep Nagra,
  • Ali Gharouni,
  • Thomas Braukmann,
  • Shawn Clark,
  • Adriana Peci,
  • Sandra Isabel,
  • Philip Banh,
  • Louis du Plessis,
  • Carmen Lia Murall,
  • Caroline Colijn,
  • Samira Mubareka,
  • Maan Hasso,
  • Justin Bahl,
  • Heba H. Mostafa,
  • Jonathan B. Gubbay,
  • Samir N. Patel,
  • Jianhong Wu,
  • Venkata R. Duvvuri

DOI
https://doi.org/10.1038/s44298-024-00047-z
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 9

Abstract

Read online

Abstract Enterovirus D68 (EV-D68) has emerged as a significant cause of acute respiratory illness in children globally, notably following its extensive outbreak in North America in 2014. A recent outbreak of EV-D68 was observed in Ontario, Canada, from August to October 2022. Our phylogenetic analysis revealed a notable genetic similarity between the Ontario outbreak and a concurrent outbreak in Maryland, USA. Utilizing Bayesian phylodynamic modeling on whole genome sequences (WGS) from both outbreaks, we determined the median peak time-varying reproduction number (Rt) to be 2.70, 95% HPD (1.76, 4.08) in Ontario and 2.10, 95% HPD (1.41, 3.17) in Maryland. The Rt trends in Ontario closely matched those derived via EpiEstim using reported case numbers. Our study also provides new insights into the median infection duration of EV-D68, estimated at 7.94 days, 95% HPD (4.55, 12.8) in Ontario and 10.8 days, 95% HPD (5.85, 18.6) in Maryland, addressing the gap in the existing literature surrounding EV-D68’s infection period. We observed that the estimated Time since the Most Recent Common Ancestor (TMRCA) and the epidemic’s origin coincided with the easing of COVID-19 related social contact restrictions in both areas. This suggests that the relaxation of non-pharmaceutical interventions, initially implemented to control COVID-19, may have inadvertently facilitated the spread of EV-D68. These findings underscore the effectiveness of phylodynamic methods in public health, demonstrating their broad application from local to global scales and underscoring the critical role of pathogen genomic data in enhancing public health surveillance and outbreak characterization.