Literature DB >> 8254630

New version of LSTSIM for computer simulation of Amblyomma americanum (Acari: Ixodidae) population dynamics.

G A Mount1, D G Haile, D R Barnard, E Daniels.   

Abstract

A previous version of Lone Star Tick Simulation Model (LSTSIM) for a wildlife ecosystem was revised and expanded to include a beef cattle forage area and improved handling of tick-host-habitat interactions. Relationships between environmental and biological variables were also refined in the new version. General validity of the revised model was established by comparing simulated and observed host-seeking populations of Amblyomma americanum (L.) at five geographic locations, three in Oklahoma and two in Kentucky-Tennessee. Additional validity was indicated from comparisons of simulated and observed seasonality of lone star ticks at one location in Kentucky. The model produced acceptable values for initial population growth rate, generation time, and 15-yr population density when historical weather files for 14 locations in the United States were used. The model of A. americanum population dynamics was used to study the relationship between tick density and density of white-tailed deer, Odocoileus virginianus (Zimmerman), and cattle. The revised model can be used for additional simulation studies on effects of tick control technologies and integrated management strategies.

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Year:  1993        PMID: 8254630     DOI: 10.1093/jmedent/30.5.843

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  11 in total

1.  Identifying main drivers and testing control strategies for CCHFV spread.

Authors:  T Hoch; E Breton; M Josse; A Deniz; E Guven; Z Vatansever
Journal:  Exp Appl Acarol       Date:  2015-07-15       Impact factor: 2.132

2.  Infection prevalences of common tick-borne pathogens in adult lone star ticks (Amblyomma americanum) and American dog ticks (Dermacentor variabilis) in Kentucky.

Authors:  Charissa M Fritzen; Junjun Huang; Kathleen Westby; James D Freye; Brett Dunlap; Michael J Yabsley; Mike Schardein; John R Dunn; Timothy F Jones; Abelardo C Moncayo
Journal:  Am J Trop Med Hyg       Date:  2011-10       Impact factor: 2.345

Review 3.  Ehrlichia chaffeensis: a prototypical emerging pathogen.

Authors:  Christopher D Paddock; James E Childs
Journal:  Clin Microbiol Rev       Date:  2003-01       Impact factor: 26.132

4.  LYMESIM 2.0: An Updated Simulation of Blacklegged Tick (Acari: Ixodidae) Population Dynamics and Enzootic Transmission of Borrelia burgdorferi (Spirochaetales: Spirochaetaceae).

Authors:  Holly Gaff; Rebecca J Eisen; Lars Eisen; Robyn Nadolny; Jenna Bjork; Andrew J Monaghan
Journal:  J Med Entomol       Date:  2020-05-04       Impact factor: 2.435

Review 5.  Climate variability and change in the United States: potential impacts on vector- and rodent-borne diseases.

Authors:  D J Gubler; P Reiter; K L Ebi; W Yap; R Nasci; J A Patz
Journal:  Environ Health Perspect       Date:  2001-05       Impact factor: 9.031

Review 6.  Ticks and Tick-Borne Infections: Complex Ecology, Agents, and Host Interactions.

Authors:  Stephen K Wikel
Journal:  Vet Sci       Date:  2018-06-20

7.  Ehrlichia prevalence in Amblyomma americanum, Central Texas.

Authors:  Scott Wesley Long; J Mathews Pound; Xue-jie Yu
Journal:  Emerg Infect Dis       Date:  2004-07       Impact factor: 6.883

8.  Social-ecological factors determine spatial variation in human incidence of tick-borne ehrlichiosis.

Authors:  B R Bayles; B F Allan
Journal:  Epidemiol Infect       Date:  2013-11-26       Impact factor: 4.434

9.  Effects of climate change on ticks and tick-borne diseases in europe.

Authors:  J S Gray; H Dautel; A Estrada-Peña; O Kahl; E Lindgren
Journal:  Interdiscip Perspect Infect Dis       Date:  2009-01-04

10.  Invasive potential of cattle fever ticks in the southern United States.

Authors:  John R Giles; A Townsend Peterson; Joseph D Busch; Pia U Olafson; Glen A Scoles; Ronald B Davey; J Mathews Pound; Diane M Kammlah; Kimberly H Lohmeyer; David M Wagner
Journal:  Parasit Vectors       Date:  2014-04-17       Impact factor: 3.876

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