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Interplay between viral shedding, age, and symptoms on individual infectiousness of influenza cases in households.
Zhang, Chengyao; Fang, Vicky J; Chan, Kwok-Hung; Leung, Gabriel M; Ip, Dennis K M; Peiris, J S Malik; Cowling, Benjamin J; Tsang, Tim K.
Afiliação
  • Zhang C; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Fang VJ; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Chan KH; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Leung GM; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Ip DKM; Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong.
  • Peiris JSM; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Cowling BJ; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Tsang TK; HKU-Pasteur Research Pole, The University of Hong Kong, Hong Kong Special Administrative Region, China.
J Infect Dis ; 2024 Aug 28.
Article em En | MEDLINE | ID: mdl-39197019
ABSTRACT

BACKGROUND:

Understanding factors affecting the infectiousness of influenza cases is crucial for disease prevention and control. Viral shedding is expected to correlate with infectiousness of cases, but it is strongly associated with age and the presence of symptoms.

METHODS:

To elucidate this complex interplay, we analyze with an individual-based household transmission model a detailed household transmission study of influenza with 442 households and 1710 individuals from 2008 to 2017 in Hong Kong, to characterize the household transmission dynamics and identify factors affecting transmissions.

RESULTS:

We estimate that age, fever symptoms and viral load were all associated with higher infectiousness. However, by model comparison, the best model includes age and fever as factors affecting individual infectiousness, and estimates that pre-school and school-age children were 317% (95% credible interval (CrI) 103%, 1042%) and 161% (95% CrI 33%, 601%) more infectious than adults respectively, and patients having fever had 146% (95% CrI 37%, 420%) higher infectiousness. Adding heterogeneity on individual infectiousness of cases does not improve the model fit, suggesting these factors could explain the difference in individual infectiousness.

CONCLUSIONS:

Our study clarifies the contribution of age, symptoms and viral shedding to individual infectiousness of influenza cases in households.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Infect Dis Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Infect Dis Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China