Identifying requirements for the invasion of a tick species and tick-borne pathogen through TICKSIM

  • Received: 01 June 2012 Accepted: 29 June 2018 Published: 01 April 2013
  • MSC : Primary: 92B05; Secondary: 90B15.

  • Ticks and tick-borne diseases have been on the move throughout the UnitedState over the past twenty years. We use an agent-based model, TICKSIM,to identify the key parameters that determine the success of invasionof the tick and if that is successful, the succees of the tick-bornepathogen. We find that if an area has competent hosts, an initialpopulation of ten ticks is predicted to always establish a newpopulation. The establishment of the tick-borne pathogen depends onthree parameters: the initial prevalence in the ten founding ticks,the probability that a tick infects the longer-lived hosts and theprobability that a tick infects the shorter-lived hosts. These resultsindicate that the transmission rates to hosts in thenewly established area can be used to predict the potential risk ofdisease to humans.

    Citation: Holly Gaff, Robyn Nadolny. Identifying requirements for the invasion of a tick species and tick-borne pathogen through TICKSIM[J]. Mathematical Biosciences and Engineering, 2013, 10(3): 625-635. doi: 10.3934/mbe.2013.10.625

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  • Ticks and tick-borne diseases have been on the move throughout the UnitedState over the past twenty years. We use an agent-based model, TICKSIM,to identify the key parameters that determine the success of invasionof the tick and if that is successful, the succees of the tick-bornepathogen. We find that if an area has competent hosts, an initialpopulation of ten ticks is predicted to always establish a newpopulation. The establishment of the tick-borne pathogen depends onthree parameters: the initial prevalence in the ten founding ticks,the probability that a tick infects the longer-lived hosts and theprobability that a tick infects the shorter-lived hosts. These resultsindicate that the transmission rates to hosts in thenewly established area can be used to predict the potential risk ofdisease to humans.


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    [1] American Journal of Tropical Medicine and Hygiene, 49 (1993), 239-244.
    [2] MMWR, 55 (2008), 1-94.
    [3] Annual Review of Entomology, 48 (2003), 307-337.
    [4] American Journal of Tropical Medicine and Hygiene, 85 (2011), 124-131.
    [5] Journal of Medical Entomology, 32 (1995), 368-374.
    [6] Annals of Internal Medicine, 120 (1994), 736-743.
    [7] Mathematical Biosciences and Engineering, 8 (2011), 463-473.
    [8] Ecological Modelling, 221 (2010), 2760-2768.
    [9] American Society of Microbiology, (2005).
    [10] Journal of Vector Ecology, 25 (2000), 102-113.
    [11] Clinical Microbiology Reviews, 16 (2003), 37-64.
    [12] Current Topics in Microbiology and Immunology, 315 (2007), 289-324.
    [13] Journal of Parasitology, 64 (1978), 1100-1106.
    [14] Journal of Medical Entomology, 37 (2000), 349-356.
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