Literature DB >> 23246807

Mathematical modelling of mosquito dispersal in a heterogeneous environment.

Angelina Mageni Lutambi1, Melissa A Penny, Thomas Smith, Nakul Chitnis.   

Abstract

Mosquito dispersal is a key behavioural factor that affects the persistence and resurgence of several vector-borne diseases. Spatial heterogeneity of mosquito resources, such as hosts and breeding sites, affects mosquito dispersal behaviour and consequently affects mosquito population structures, human exposure to vectors, and the ability to control disease transmission. In this paper, we develop and simulate a discrete-space continuous-time mathematical model to investigate the impact of dispersal and heterogeneous distribution of resources on the distribution and dynamics of mosquito populations. We build an ordinary differential equation model of the mosquito life cycle and replicate it across a hexagonal grid (multi-patch system) that represents two-dimensional space. We use the model to estimate mosquito dispersal distances and to evaluate the effect of spatial repellents as a vector control strategy. We find evidence of association between heterogeneity, dispersal, spatial distribution of resources, and mosquito population dynamics. Random distribution of repellents reduces the distance moved by mosquitoes, offering a promising strategy for disease control.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23246807     DOI: 10.1016/j.mbs.2012.11.013

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  20 in total

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2.  A discrete-time dynamical system and an evolution algebra of mosquito population.

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3.  Mathematical assessment of the role of temperature and rainfall on mosquito population dynamics.

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5.  Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival.

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Journal:  Int J Environ Res Public Health       Date:  2015-05-28       Impact factor: 3.390

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7.  Clustering of vector control interventions has important consequences for their effectiveness: a modelling study.

Authors:  Angelina Mageni Lutambi; Nakul Chitnis; Olivier J T Briët; Thomas A Smith; Melissa A Penny
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

8.  Modelling the influence of temperature and rainfall on the population dynamics of Anopheles arabiensis.

Authors:  Gbenga J Abiodun; Rajendra Maharaj; Peter Witbooi; Kazeem O Okosun
Journal:  Malar J       Date:  2016-07-15       Impact factor: 2.979

9.  Rift Valley fever vector diversity and impact of meteorological and environmental factors on Culex pipiens dynamics in the Okavango Delta, Botswana.

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Journal:  Parasit Vectors       Date:  2016-08-08       Impact factor: 3.876

10.  A spatial agent-based model of Anopheles vagus for malaria epidemiology: examining the impact of vector control interventions.

Authors:  Md Zahangir Alam; S M Niaz Arifin; Hasan Mohammad Al-Amin; Mohammad Shafiul Alam; M Sohel Rahman
Journal:  Malar J       Date:  2017-10-27       Impact factor: 2.979

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