Stochastic dynamics of cholera epidemics

被引:19
|
作者
Azaele, Sandro [1 ,2 ]
Maritan, Amos [3 ,4 ]
Bertuzzo, Enrico [5 ,6 ]
Rodriguez-Iturbe, Ignacio [1 ]
Rinaldo, Andrea [5 ,6 ,7 ]
机构
[1] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
[2] Univ Leeds, Inst Integrat & Comparat Biol, Leeds LS2 9JT, W Yorkshire, England
[3] Univ Padua, Dipartimento Fis G Galilei, I-35151 Padua, Italy
[4] Univ Padua, Ist Nazl Fis Nucl, I-35151 Padua, Italy
[5] Ecole Polytech Fed Lausanne, Fac ENAC, ECHO ISTE ENAC, Lab Ecohydrol, Lausanne Ch, Switzerland
[6] Ecole Polytech Fed Lausanne, Fac ENAC, ECHO IEE ENAC, Lab Ecohydrol, Lausanne Ch, Switzerland
[7] Univ Padua, Dipartimento IMAGE, I-35131 Padua, Italy
基金
瑞士国家科学基金会;
关键词
INFECTIOUS-DISEASE; GLOBAL CLIMATE; OUTBREAKS; DURATION; PERIOD;
D O I
10.1103/PhysRevE.81.051901
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Threshold dynamics and density function of a stochastic cholera transmission model
    He, Ying
    Bi, Bo
    AIMS MATHEMATICS, 2024, 9 (08): : 21918 - 21939
  • [32] Seasonal epidemics of cholera inversely correlate with the prevalence of environmental cholera phages
    Faruque, SM
    Bin Naser, I
    Islam, MJ
    Faruque, ASG
    Ghosh, AN
    Nair, GB
    Sack, DA
    Mekalanos, JJ
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (05) : 1702 - 1707
  • [33] ABSORPTION IN STOCHASTIC EPIDEMICS
    Stepan, Josef
    Stanek, Jakub
    KYBERNETIKA, 2009, 45 (03) : 458 - 474
  • [34] Stochastic amplification in epidemics
    Alonso, David
    McKane, Alan J.
    Pascual, Mercedes
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2007, 4 (14) : 575 - 582
  • [35] Cholera epidemics in Bristol in the nineteenth century.
    Smith, GM
    BRITISH MEDICAL JOURNAL, 1915, 1915 : 60 - 60
  • [36] Management of cholera epidemics in a refugee camp.
    Brown, V
    Jacquier, G
    Bachy, C
    Bitar, D
    Legros, D
    BULLETIN DE LA SOCIETE DE PATHOLOGIE EXOTIQUE, 2002, 95 (05): : 351 - 354
  • [37] Stochastic and deterministic mathematical model of cholera disease dynamics with direct transmission
    Tilahun, Getachew Teshome
    Woldegerima, Woldegebriel Assefa
    Wondifraw, Aychew
    ADVANCES IN DIFFERENCE EQUATIONS, 2020, 2020 (01)
  • [38] Fearing future epidemics: the cholera crisis of 1892
    Jackson, Paul S. B.
    CULTURAL GEOGRAPHIES, 2013, 20 (01) : 43 - 65
  • [39] Stochastic and deterministic mathematical model of cholera disease dynamics with direct transmission
    Getachew Teshome Tilahun
    Woldegebriel Assefa Woldegerima
    Aychew Wondifraw
    Advances in Difference Equations, 2020
  • [40] Neural network approach for cholera dynamics: Integrating deterministic and stochastic insights
    Shah, Kamil
    Liu, Wenqi
    El Yamani, Mohamed Anass
    Khan, Usman
    Rehman, Sadique
    Farooq, Aamir
    KNOWLEDGE-BASED SYSTEMS, 2024, 296