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SIR+ models: accounting for interaction-dependent disease susceptibility in the planning of public health interventions.
Martignoni, Maria M; Raulo, Aura; Linkovski, Omer; Kolodny, Oren.
Afiliação
  • Martignoni MM; Department of Ecology, Evolution and Behavior, Faculty of Sciences, A. Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel. maria.martignonimseya@mail.huji.ac.il.
  • Raulo A; Department of Biology, University of Oxford, Oxford, UK.
  • Linkovski O; Department of Computing, University of Turku, Turku, Finland.
  • Kolodny O; Department of Psychology and The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel.
Sci Rep ; 14(1): 12908, 2024 06 05.
Article em En | MEDLINE | ID: mdl-38839831
ABSTRACT
Avoiding physical contact is regarded as one of the safest and most advisable strategies to follow to reduce pathogen spread. The flip side of this approach is that a lack of social interactions may negatively affect other dimensions of health, like induction of immunosuppressive anxiety and depression or preventing interactions of importance with a diversity of microbes, which may be necessary to train our immune system or to maintain its normal levels of activity. These may in turn negatively affect a population's susceptibility to infection and the incidence of severe disease. We suggest that future pandemic modelling may benefit from relying on 'SIR+ models' epidemiological models extended to account for the benefits of social interactions that affect immune resilience. We develop an SIR+ model and discuss which specific interventions may be more effective in balancing the trade-off between minimizing pathogen spread and maximizing other interaction-dependent health benefits. Our SIR+ model reflects the idea that health is not just the mere absence of disease, but rather a state of physical, mental and social well-being that can also be dependent on the same social connections that allow pathogen spread, and the modelling of public health interventions for future pandemics should account for this multidimensionality.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Pública Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Pública Idioma: En Ano de publicação: 2024 Tipo de documento: Article