Skip to main content

Impact of Travel Between Patches for Spatial Spread of Disease

Abstract

A multipatch model is proposed to study the impact of travel on the spatial spread of disease between patches with different level of disease prevalence. The basic reproduction number for the ith patch in isolation is obtained along with the basic reproduction number of the system of patches, ℜ0. Inequalities describing the relationship between these numbers are also given. For a two-patch model with one high prevalence patch and one low prevalence patch, results pertaining to the dependence of ℜ0 on the travel rates between the two patches are obtained. For parameter values relevant for influenza, these results show that, while banning travel of infectives from the low to the high prevalence patch always contributes to disease control, banning travel of symptomatic travelers only from the high to the low prevalence patch could adversely affect the containment of the outbreak under certain ranges of parameter values. Moreover, banning all travel of infected individuals from the high to the low prevalence patch could result in the low prevalence patch becoming diseasefree, while the high prevalence patch becomes even more disease-prevalent, with the resulting number of infectives in this patch alone exceeding the combined number of infectives in both patches without border control. Under the set of parameter values used, our results demonstrate that if border control is properly implemented, then it could contribute to stopping the spatial spread of disease between patches.

References

  • Arino, J., Jordan, R., van den Driessche, P., 2005. Quarantine in a multi-species epidemic model with spatial dynamics. Math. Biosci.

  • Arino, J., van den Driessche, P., 2003. A multi-city epidemic model. Math. Popul. Stud. 10, 175–193.

    MATH  Article  MathSciNet  Google Scholar 

  • Arino, J., van den Driessche, P., 2006. Disease spread in metapopulations. In: Nonlinear Dynamics and Evolution Equations. Vol. 48. Fields Institute Communications.

  • Berman, A., Plemmons, R. J., 1979. Non-negative Matrices in the Mathematical Sciences. Academic, New York.

    Google Scholar 

  • Butler, D., 2006. Doubts hang over source of bird flu spread, Nature 439, 772.

    Google Scholar 

  • Cantrell, R.S., Cosner, C., 2003. Spatial Ecology via Reaction-Diffusion Equations. Wiley, New York.

    MATH  Google Scholar 

  • Chowell, G., Rivas, A.L., Hengartner, N.W., Hyman, J.M., Castillo-Chavez, C., 2006. The role of spatial mixing in the spread of foot-and-mouth disease. Prev. Vet. Med. 73, 297–314.

    Article  Google Scholar 

  • Ferguson, N.M., Cummings, D.A.T., Cauchemez, S., Fraser, C., Riley, S., Meeyai, A., Iamsirithaworn, S., Burke, D. S., 2005. Strategies for containing an emerging influenza pandemic in southeast Asia. Nature 437, 209–214.

    Article  Google Scholar 

  • Ferguson, N.M., Cummings, D.A.T., Fraser, C., Cajka, J.C., Cooley, P.C., Burke, D.S., 2006. Strategies for mitigating an influenza pandemic. Nature 442, 448–452.

    Article  Google Scholar 

  • Fulford, G.R., Roberts, M.G., Heesterbeek, J.A.P., 2002. The metapopulation dynamics of an infectious disease: Tuberculosis in possums. Theor. Popul. Biol. 61, 15–29.

    MATH  Article  Google Scholar 

  • Germann, T.C., Kadau, K., Longini, I.M. Jr., Macken, C.A., 2006. Mitigation strategies for pandemic influenza in the United States. PNAS 103, 5935–5940.

    Article  Google Scholar 

  • Hastings, A., 1983. Can spatial variation alone lead to selection for dispersal? Theor. Popul. Biol. 24, 244–251.

    MATH  Article  MathSciNet  Google Scholar 

  • Horn, R.A., Johnson, C.R., 1985. Matrix Analysis. Cambridge University Press, New York.

    MATH  Google Scholar 

  • Horn, R.A., Johnson, C.R., 1991. Topics in Matrix Analysis. Cambridge University Press, New York.

    MATH  Google Scholar 

  • Hyman, J.M., LaForce, T., 2003. Modeling the spread of influenza among cities. In: Banks, H.T., Castillo-Chavez, C. (Eds.), Bioterrorism. SIAM, New York, pp. 211–236.

  • McPeek, M.A., Holt, R.D., 1992. The evolution of dispersal in spatially and temporally varying environments. Am. Nat. 140, 1010–1027.

    Article  Google Scholar 

  • Ruan, S., Wang, W., Levin, S.A., 2006. The effect of global travel on the spread of SARS. Math. Bios. Eng. 3, 205–218.

    MATH  MathSciNet  Google Scholar 

  • Salmani, M., van den Driessche, P., 2006. A model for disease transmission in a patchy environment. Disc. Cont. Dyna. Syst. Ser. B 6, 185–202.

    MATH  MathSciNet  Google Scholar 

  • Sattenspiel, L., Herring, D.A., 2003. Simulating the effect of quarantine on the spread of the 1918–1919 flu in central Canada. Bull. Math. Biol. 65, 1–26.

    Article  Google Scholar 

  • Smith, H.L., Waltman, P., 1995. The Theory of the Chemostat. Cambridge University Press, New York.

    MATH  Google Scholar 

  • van den Driessche, P., Watmough, J., 2002. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180, 29–48.

    MATH  Article  MathSciNet  Google Scholar 

  • Wang, W., Mulone, G., 2003. Threshold of disease transmission in a patchy environment. J. Math. Anal. Appl. 285, 321–335.

    MATH  Article  MathSciNet  Google Scholar 

  • Wang, W., Zhao, X.-Q., 2004. An epidemic model in a patchy environment. Math. Biosci. 190, 97–112.

    MATH  Article  MathSciNet  Google Scholar 

  • Wang, W., Zhao, X.-Q., 2006. An epidemic model with population dispersal and infection period. SIAM J. Appl. Math.

  • Summary of WHO measures related to international travel. Available at: http://www.who.int/csr/sars/travelupdate/en/. Accessed August 8, 2006.

  • World Health Organization (WHO), 2006. Cumulative number of confirmed human cases of Avian influenza A/(H5N1) reported to WHO. Available at: http://www. who. int/csr/disease/avian_influenza/country/cases_table_2006_08_08/en/index.html. Accessed August 8.

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to P. van den Driessche.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Hsieh, YH., van den Driessche, P. & Wang, L. Impact of Travel Between Patches for Spatial Spread of Disease. Bull. Math. Biol. 69, 1355–1375 (2007). https://doi.org/10.1007/s11538-006-9169-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11538-006-9169-6

  • Basic reproduction number
  • Border control
  • Influenza
  • Multipatch model
  • Spatial spread
  • Travel rate