Stochastic dynamics of cholera epidemics

Sandro Azaele, Amos Maritan, Enrico Bertuzzo, Ignacio Rodriguez-Iturbe, and Andrea Rinaldo
Phys. Rev. E 81, 051901 – Published 3 May 2010

Abstract

We describe the predictions of an analytically tractable stochastic model for cholera epidemics following a single initial outbreak. The exact model relies on a set of assumptions that may restrict the generality of the approach and yet provides a realm of powerful tools and results. Without resorting to the depletion of susceptible individuals, as usually assumed in deterministic susceptible-infected-recovered models, we show that a simple stochastic equation for the number of ill individuals provides a mechanism for the decay of the epidemics occurring on the typical time scale of seasonality. The model is shown to provide a reasonably accurate description of the empirical data of the 2000/2001 cholera epidemic which took place in the Kwa Zulu-Natal Province, South Africa, with possibly notable epidemiological implications.

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  • Received 21 November 2007

DOI:https://doi.org/10.1103/PhysRevE.81.051901

©2010 American Physical Society

Authors & Affiliations

Sandro Azaele1,2, Amos Maritan3,*, Enrico Bertuzzo4,5, Ignacio Rodriguez-Iturbe1, and Andrea Rinaldo4,5,6,†

  • 1Department of Civil and Environmental Engineering, E-Quad, Princeton University, Princeton, New Jersey 08544, USA
  • 2Institute of Integrative and Comparative Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
  • 3Dipartimento di Fisica G. Galilei and INFN, Università di Padova, Via Marzolo 8, I-35151 Padova, Italy
  • 4Laboratory of Ecohydrology, ECHO/ISTE/ENAC, Faculté ENAC, École Polytechnique Fédérale Lausanne (EPFL), Lausanne (CH), Switzerland
  • 5Laboratory of Ecohydrology, ECHO/IEE/ENAC, Faculté ENAC, École Polytechnique Fédérale Lausanne (EPFL), Lausanne (CH), Switzerland
  • 6Dipartimento IMAGE, Università di Padova, I-35131 Padova, Italy

  • *amos.maritan@pd.infn.it
  • andrea.rinaldo@epfl.ch; andrea.rinaldo@unipd.it

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Vol. 81, Iss. 5 — May 2010

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