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
Affiliations
Martin Grunnill
Public Health Ontario
Alireza Eshaghi
Public Health Ontario
Lambodhar Damodaran
Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania
Sandeep Nagra
Public Health Ontario
Ali Gharouni
Public Health Ontario
Thomas Braukmann
Public Health Ontario
Shawn Clark
Public Health Ontario
Adriana Peci
Public Health Ontario
Sandra Isabel
Public Health Ontario
Philip Banh
Public Health Ontario
Louis du Plessis
Department of Biosystems Science and Engineering, ETH Zürich
Carmen Lia Murall
National Microbiology Laboratory, Public Health Agency of Canada
Caroline Colijn
Department of Mathematics, Simon Fraser University
Samira Mubareka
Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto
Maan Hasso
Public Health Ontario
Justin Bahl
Center for the Ecology of Infectious Disease, Department of Infectious Diseases, Department of Epidemiology and Biostatistics, Institute of Bioinformatics, University of Georgia
Heba H. Mostafa
Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine
Jonathan B. Gubbay
Public Health Ontario
Samir N. Patel
Public Health Ontario
Jianhong Wu
Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University
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.