Literature DB >> 2056504

Computer simulation of Boophilus cattle tick (Acari: Ixodidae) population dynamics.

G A Mount1, D G Haile, R B Davey, L M Cooksey.   

Abstract

A comprehensive computer model was developed for simulation of the population dynamics of the cattle ticks, Boophilus microplus (Canestrini) and B. annulatus (Say). The model is deterministic and based on a dynamic life table with weekly time steps. The model simulates the effects of major environmental variables, such as ambient temperature, saturation deficit, precipitation, type of pasture, type of cattle, and cattle density on Boophilus cattle tick population dynamics. General validity of the model is established by comparing simulated and observed yearly densities of standard female ticks/host/day. B. microplus population comparisons were made for a series of years using weekly weather data from two locations in Queensland, Australia. The model also produced acceptable values for initial population growth rate, generation time, and 3-yr population density when historical weather at 7 locations in Australia and 23 locations in the Americas were used. This model provides a framework for the study of Babesia transmission by Boophilus ticks, and can be used to study the effects of control technologies and to develop more efficient and environmentally acceptable eradication strategies for Boophilus ticks.

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Year:  1991        PMID: 2056504     DOI: 10.1093/jmedent/28.2.223

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


  13 in total

1.  Conditions for stable parapatric coexistence between Boophilus decoloratus and B. microplus ticks: a simulation study using the competitive Lotka-Volterra model.

Authors:  Petr Zeman; Godelieve Lynen
Journal:  Exp Appl Acarol       Date:  2010-07-02       Impact factor: 2.132

Review 2.  Modeling and biological control of mosquitoes.

Authors:  Cynthia C Lord
Journal:  J Am Mosq Control Assoc       Date:  2007       Impact factor: 0.917

3.  Seasonal population dynamics and behaviour of insects in models of vector-borne pathogens.

Authors:  Cynthia C Lord
Journal:  Physiol Entomol       Date:  2004       Impact factor: 1.833

Review 4.  Questing by Tick Larvae (Acari: Ixodidae): A Review of the Influences That Affect Off-Host Survival.

Authors:  Brenda Leal; Emily Zamora; Austin Fuentes; Donald B Thomas; Robert K Dearth
Journal:  Ann Entomol Soc Am       Date:  2020-06-22       Impact factor: 2.099

5.  How ticks keep ticking in the adversity of host immune reactions.

Authors:  Rachel Jennings; Yang Kuang; Horst R Thieme; Jianhong Wu; Xiaotian Wu
Journal:  J Math Biol       Date:  2018-11-26       Impact factor: 2.259

6.  Influence of acaricide resistance on cattle-fever tick (Boophilus spp.) infestations in semi-arid thornshrublands: a simulation approach.

Authors:  M S Corson; P D Teel; W E Grant
Journal:  Exp Appl Acarol       Date:  2001       Impact factor: 2.132

7.  The distribution and ecological preferences of Boophilus microplus (Acari: Ixodidae) in Mexico.

Authors:  A Estrada-Peña; Z García; H Fragoso Sánchez
Journal:  Exp Appl Acarol       Date:  2006       Impact factor: 2.132

8.  Integrated Strategy for Sustainable Cattle Fever Tick Eradication in USA is Required to Mitigate the Impact of Global Change.

Authors:  Adalberto A Pérez de León; Pete D Teel; Allan N Auclair; Matthew T Messenger; Felix D Guerrero; Greta Schuster; Robert J Miller
Journal:  Front Physiol       Date:  2012-06-14       Impact factor: 4.566

9.  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

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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