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Tick-borne infectious agents in nature: Simulated effects of changes in host density on spatial-temporal prevalence of infected ticks

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  • Wang, Hsiao-Hsuan
  • Grant, W.E.
  • Teel, P.D.
  • Hamer, S.A.

Abstract

Ticks (Ixodidae) are important vectors of infectious agents that affect human and animal health, and the spatial-temporal dynamics of tick-host-pathogen-landscape interactions are difficult to understand based on empirical observations alone. We used a spatially explicit simulation model to examine the effects of changes in host density on the prevalence of a hypothetical transstadially transmitted infectious agent in a population of a prototypical three-host tick under ecological conditions representative of the predominantly forested areas of the south-central United States. The model was parameterized such that baseline conditions yielded a landscape-level nymphal infection prevalence (NIP) fluctuating seasonally around a threshold of 0.1 (indicative of pathogen endemicity in some disease systems) roughly paralleling seasonal fluctuations in wildlife host densities, with seasonal highs in late summer and early fall and seasonal lows in winter and spring. In simulated scenarios of both small-sized and medium-sized host reduction, the densities of both uninfected and infected off-host nymphs decreased markedly from year-to-year. The number of habitat patches in which NIP>0.1, however, increased when small-sized hosts were removed, yet decreased when medium-sized hosts were removed. Simulation of the reduction in density of large-sized hosts resulted in trends similar to those produced by reducing density of small-sized hosts, but trends were less pronounced. Under the conditions simulated, both NIP and off-host nymph densities (DON) were particularly sensitive to changes in the proportion of larvae obtaining their blood meal from medium-sized hosts. Variation in simulated NIP values can be explained by the fact that larval, nymphal, and adult tick loads were distributed differently among the different-sized hosts, each with their distinct range of movement and degree of variation in population size. Simulation results of this hypothetical case study offer insight into the complex landscape-level interactions of a prototypical 3-host tick and suggest that medium-sized hosts could play a key role in sustaining and dispersing a tick-borne infectious agent in nature.

Suggested Citation

  • Wang, Hsiao-Hsuan & Grant, W.E. & Teel, P.D. & Hamer, S.A., 2016. "Tick-borne infectious agents in nature: Simulated effects of changes in host density on spatial-temporal prevalence of infected ticks," Ecological Modelling, Elsevier, vol. 323(C), pages 77-86.
  • Handle: RePEc:eee:ecomod:v:323:y:2016:i:c:p:77-86
    DOI: 10.1016/j.ecolmodel.2015.11.021
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    References listed on IDEAS

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    1. Wang, Hsiao-Hsuan & Grant, W.E. & Teel, P.D., 2012. "Simulation of climate–host–parasite–landscape interactions: A spatially explicit model for ticks (Acari: Ixodidae)," Ecological Modelling, Elsevier, vol. 243(C), pages 42-62.
    2. Felicia Keesing & Lisa K. Belden & Peter Daszak & Andrew Dobson & C. Drew Harvell & Robert D. Holt & Peter Hudson & Anna Jolles & Kate E. Jones & Charles E. Mitchell & Samuel S. Myers & Tiffany Bogich, 2010. "Impacts of biodiversity on the emergence and transmission of infectious diseases," Nature, Nature, vol. 468(7324), pages 647-652, December.
    3. Kate E. Jones & Nikkita G. Patel & Marc A. Levy & Adam Storeygard & Deborah Balk & John L. Gittleman & Peter Daszak, 2008. "Global trends in emerging infectious diseases," Nature, Nature, vol. 451(7181), pages 990-993, February.
    4. Hoch, T. & Monnet, Y. & Agoulon, A., 2010. "Influence of host migration between woodland and pasture on the population dynamics of the tick Ixodes ricinus: A modelling approach," Ecological Modelling, Elsevier, vol. 221(15), pages 1798-1806.
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    Cited by:

    1. Halsey, Samniqueka J. & Miller, James R., 2018. "A spatial agent-based model of the disease vector Ixodes scapularis to explore host-tick associations," Ecological Modelling, Elsevier, vol. 387(C), pages 96-106.
    2. Rajabi, Mohammadreza & Mansourian, Ali & Pilesjö, Petter & Shirzadi, Mohammad Reza & Fadaei, Reza & Ramazanpour, Javad, 2018. "A spatially explicit agent-based simulation model of a reservoir host of cutaneous leishmaniasis, Rhombomys opimus," Ecological Modelling, Elsevier, vol. 370(C), pages 33-49.
    3. Yifan Li & Juanle Wang & Mengxu Gao & Liqun Fang & Changhua Liu & Xin Lyu & Yongqing Bai & Qiang Zhao & Hairong Li & Hongjie Yu & Wuchun Cao & Liqiang Feng & Yanjun Wang & Bin Zhang, 2017. "Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China," IJERPH, MDPI, vol. 14(6), pages 1-18, May.
    4. Wang, Hsiao-Hsuan & Teel, Pete D. & Grant, William E. & Schuster, Greta & Pérez de León, A.A., 2016. "Simulated interactions of white-tailed deer (Odocoileus virginianus), climate variation and habitat heterogeneity on southern cattle tick (Rhipicephalus (Boophilus) microplus) eradication methods in s," Ecological Modelling, Elsevier, vol. 342(C), pages 82-96.

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