Predicted norovirus resurgence in 2021–2022 due to the relaxation of nonpharmaceutical interventions associated with COVID-19 restrictions in England: a mathematical modeling study
Kathleen M. O’Reilly,
Frank Sandman,
David Allen,
Christopher I. Jarvis,
Amy Gimma,
Amy Douglas,
Lesley Larkin,
Kerry L. M. Wong,
Marc Baguelin,
Ralph S. Baric,
Lisa C. Lindesmith,
Richard A. Goldstein,
Judith Breuer,
W. John Edmunds
Affiliations
Kathleen M. O’Reilly
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Frank Sandman
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
David Allen
Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine
Christopher I. Jarvis
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Amy Gimma
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Amy Douglas
Gastrointestinal Pathogens Unit, National Infection Service, Public Health England
Lesley Larkin
Gastrointestinal Pathogens Unit, National Infection Service, Public Health England
Kerry L. M. Wong
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Marc Baguelin
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Ralph S. Baric
Department of Epidemiology, University of North Carolina
Lisa C. Lindesmith
Department of Epidemiology, University of North Carolina
Richard A. Goldstein
Division of Infection and Immunity, University College London
Judith Breuer
Division of Infection and Immunity, University College London
W. John Edmunds
Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine
Abstract Background To reduce the coronavirus disease burden in England, along with many other countries, the government implemented a package of non-pharmaceutical interventions (NPIs) that have also impacted other transmissible infectious diseases such as norovirus. It is unclear what future norovirus disease incidence is likely to look like upon lifting these restrictions. Methods Here we use a mathematical model of norovirus fitted to community incidence data in England to project forward expected incidence based on contact surveys that have been collected throughout 2020–2021. Results We report that susceptibility to norovirus infection has likely increased between March 2020 and mid-2021. Depending upon assumptions of future contact patterns incidence of norovirus that is similar to pre-pandemic levels or an increase beyond what has been previously reported is likely to occur once restrictions are lifted. Should adult contact patterns return to 80% of pre-pandemic levels, the incidence of norovirus will be similar to previous years. If contact patterns return to pre-pandemic levels, there is a potential for the expected annual incidence to be up to 2-fold larger than in a typical year. The age-specific incidence is similar across all ages. Conclusions Continued national surveillance for endemic diseases such as norovirus will be essential after NPIs are lifted to allow healthcare services to adequately prepare for a potential increase in cases and hospital pressures beyond what is typically experienced.