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Global patterns of rebound to normal RSV dynamics following COVID-19 suppression.
Thindwa, Deus; Li, Ke; Cooper-Wootton, Dominic; Zheng, Zhe; Pitzer, Virginia E; Weinberger, Daniel M.
Afiliação
  • Thindwa D; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA. deus.thindwa@yale.edu.
  • Li K; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
  • Cooper-Wootton D; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
  • Zheng Z; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
  • Pitzer VE; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
  • Weinberger DM; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA. daniel.weinberger@yale.edu.
BMC Infect Dis ; 24(1): 635, 2024 Jun 25.
Article em En | MEDLINE | ID: mdl-38918718
ABSTRACT

BACKGROUND:

Annual epidemics of respiratory syncytial virus (RSV) had consistent timing and intensity between seasons prior to the SARS-CoV-2 pandemic (COVID-19). However, starting in April 2020, RSV seasonal activity declined due to COVID-19 non-pharmaceutical interventions (NPIs) before re-emerging after relaxation of NPIs. We described the unusual patterns of RSV epidemics that occurred in multiple subsequent waves following COVID-19 in different countries and explored factors associated with these patterns.

METHODS:

Weekly cases of RSV from twenty-eight countries were obtained from the World Health Organisation and combined with data on country-level characteristics and the stringency of the COVID-19 response. Dynamic time warping and regression were used to cluster time series patterns and describe epidemic characteristics before and after COVID-19 pandemic, and identify related factors.

RESULTS:

While the first wave of RSV epidemics following pandemic suppression exhibited unusual patterns, the second and third waves more closely resembled typical RSV patterns in many countries. Post-pandemic RSV patterns differed in their intensity and/or timing, with several broad patterns across the countries. The onset and peak timings of the first and second waves of RSV epidemics following COVID-19 suppression were earlier in the Southern than Northern Hemisphere. The second wave of RSV epidemics was also earlier with higher population density, and delayed if the intensity of the first wave was higher. More stringent NPIs were associated with lower RSV growth rate and intensity and a shorter gap between the first and second waves.

CONCLUSION:

Patterns of RSV activity have largely returned to normal following successive waves in the post-pandemic era. Onset and peak timings of future epidemics following disruption of normal RSV dynamics need close monitoring to inform the delivery of preventive and control measures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Global / Infecções por Vírus Respiratório Sincicial / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: BMC Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Global / Infecções por Vírus Respiratório Sincicial / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: BMC Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos