Tick-borne infectious agents in nature: Simulated effects of changes in host density on spatial-temporal prevalence of infected ticks
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DOI: 10.1016/j.ecolmodel.2015.11.021
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References listed on IDEAS
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- 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.
- 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.
- 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.
- 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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Keywords
Agent-based model; Disease emergence; Nymphal infection prevalence (NIP); Pathogen; Spatial contagion; Ticks;All these keywords.
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