Literature DB >> 953134

A statistical model of the dynamics of a mosquito vector (Culex tarsalis) population.

T E Moon.   

Abstract

A model of the dynamics of a mosquito Culex tarsalis is derived that includes the life states through which the mosquito proceeds. Transition probabilities from one state (egg, larva, pupa and adult) to another are derived and they depend on the duration of stay and mortality in each state. A formula is derived for the expected number of mosquitoes alive at any time during the spring or summer. This formula depends on the number of eggs oviposited and the transition probabilities. Data are used to estimate the parameters and to illustrate the usefulness of this model in examining the effect of changes in mosquito survival on the dynamics of the population.

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Year:  1976        PMID: 953134

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  5 in total

1.  Projection of Climate Change Influences on U.S. West Nile Virus Vectors.

Authors:  Heidi E Brown; Alex Young; Joceline Lega; Theodore G Andreadis; Jessica Schurich; Andrew Comrie
Journal:  Earth Interact       Date:  2015-12-10       Impact factor: 2.769

2.  Development of larval thermotolerance and its impact on adult susceptibility to malathion insecticide and Plasmodium vivax infection in Anopheles stephensi.

Authors:  Kamaraju Raghavendra; Tapan K Barik; Tridibes Adak
Journal:  Parasitol Res       Date:  2010-07-30       Impact factor: 2.289

3.  The importance of age dependent mortality and the extrinsic incubation period in models of mosquito-borne disease transmission and control.

Authors:  Steve E Bellan
Journal:  PLoS One       Date:  2010-04-13       Impact factor: 3.240

4.  Intensive early season adulticide applications decrease arbovirus transmission throughout the Coachella Valley, Riverside County, California.

Authors:  Hugh D Lothrop; Branka B Lothrop; Donald E Gomsi; William K Reisen
Journal:  Vector Borne Zoonotic Dis       Date:  2008-08       Impact factor: 2.133

5.  Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia.

Authors:  Kaoru Tachiiri; Brian Klinkenberg; Sunny Mak; Jamil Kazmi
Journal:  Int J Health Geogr       Date:  2006-05-16       Impact factor: 3.918

  5 in total

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