dorsal/arxiv
View SchemaThe Predictive Power of R0 in an Epidemic Probabilistic System
| Authors | D. Alves, V. J. Haas, A. Caliri |
|---|---|
| Categories | |
| ArXiv ID | physics/0302041 |
| URL | https://arxiv.org/abs/physics/0302041 |
Abstract
An important issue in theoretical epidemiology is the epidemic threshold phenomenon, which specify the conditions for an epidemic to grow or die out. In standard (mean-field-like) compartmental models the concept of the basic reproductive number, R0, has been systematically employed as a predictor for epidemic spread and as an analytical tool to study the threshold conditions. Despite the importance of this quantity, there are no general formulation of R0 when one considers the spread of a disease in a generic finite population, involving, for instance, arbitrary topology of inter-individual interactions and heterogeneous mixing of susceptible and immune individuals. The goal of this work is to study this concept in a generalized stochastic system described in terms of global and local variables. In particular, the dependence of R0 on the space of parameters that define the model is investigated; it is found that near of the ``classical'' epidemic threshold transition the uncertainty about the strength of the epidemic process still is significantly large. The forecasting attributes of R0 for a discrete finite system is discussed and generalized; in particular, it is shown that, for a discrete finite system, the pretentious predictive power of R0 is significantly reduced.
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"abstract": "An important issue in theoretical epidemiology is the epidemic threshold\nphenomenon, which specify the conditions for an epidemic to grow or die out. In\nstandard (mean-field-like) compartmental models the concept of the basic\nreproductive number, R0, has been systematically employed as a predictor for\nepidemic spread and as an analytical tool to study the threshold conditions.\nDespite the importance of this quantity, there are no general formulation of R0\nwhen one considers the spread of a disease in a generic finite population,\ninvolving, for instance, arbitrary topology of inter-individual interactions\nand heterogeneous mixing of susceptible and immune individuals. The goal of\nthis work is to study this concept in a generalized stochastic system described\nin terms of global and local variables. In particular, the dependence of R0 on\nthe space of parameters that define the model is investigated; it is found that\nnear of the ``classical\u0027\u0027 epidemic threshold transition the uncertainty about\nthe strength of the epidemic process still is significantly large. The\nforecasting attributes of R0 for a discrete finite system is discussed and\ngeneralized; in particular, it is shown that, for a discrete finite system, the\npretentious predictive power of R0 is significantly reduced.",
"arxiv_id": "physics/0302041",
"authors": [
"D. Alves",
"V. J. Haas",
"A. Caliri"
],
"categories": [
"physics.bio-ph",
"q-bio"
],
"title": "The Predictive Power of R0 in an Epidemic Probabilistic System",
"url": "https://arxiv.org/abs/physics/0302041"
},
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