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research article

Spatially Explicit Conditions for Waterborne Pathogen Invasion

Gatto, Marino
•
Mari, Lorenzo  
•
Bertuzzo, Enrico  
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2013
American Naturalist

Waterborne pathogens cause many possibly lethal human diseases. We derive the condition for pathogen invasion and subsequent disease outbreak in a territory with specific, space-inhomogeneous characteristics (hydrological, ecological, demographic, and epidemiological). The criterion relies on a spatially explicit model accounting for the density of susceptible and infected individuals and the pathogen concentration in a network of communities linked by human mobility and the water system. Pathogen invasion requires that a dimensionless parameter, the dominant eigenvalue of a generalized reproductive matrix J(0), be larger than unity. Conditions for invasion are studied while crucial parameters (population density distribution, contact and water contamination rates, pathogen growth rates) and the characteristics of the networks (connectivity, directional transport, water retention times, mobility patterns) are varied. We analyze both simple, prototypical test cases and realistic landscapes, in which optimal channel networks mimic the water systems and gravitational models describe human mobility. Also, we show that the dominant eigenvector of J(0) effectively portrays the geography of epidemic outbreaks, that is, the areas of the studied territory that will be initially affected by an epidemic. This is important for planning an efficient spatial allocation of interventions (e.g., improving sanitation and providing emergency aid and medicines).

  • Details
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Type
research article
DOI
10.1086/671258
Web of Science ID

WOS:000322901300007

Author(s)
Gatto, Marino
Mari, Lorenzo  
Bertuzzo, Enrico  
Casagrandi, Renato
Righetto, Lorenzo  
Rodriguez-Iturbe, Ignacio
Rinaldo, Andrea  
Date Issued

2013

Publisher

Univ Chicago Press

Published in
American Naturalist
Volume

182

Issue

3

Start page

328

End page

346

Subjects

spatially explicit models

•

hydrological transport

•

human mobility

•

stability analysis

•

incidence map

•

dominant eigenvalue

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECHO  
Available on Infoscience
October 1, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/95563
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