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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Mathematical modelling of mosquito dispersal in a heterogeneous environment
Mathematical Biosciences, Volume 241, No. 2, Year 2013
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Description
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. © 2012 Elsevier Inc.
Authors & Co-Authors
Lutambi, Angelina Mageni
Switzerland, Allschwil
Swiss Tropical and Public Health Institute Swiss Tph
Switzerland, Basel
Universitat Basel
Tanzania, Ifakara
Ifakara Health Institute
Penny, Melissa A.
Switzerland, Allschwil
Swiss Tropical and Public Health Institute Swiss Tph
Switzerland, Basel
Universitat Basel
Smith, Thomas A.
Switzerland, Allschwil
Swiss Tropical and Public Health Institute Swiss Tph
Switzerland, Basel
Universitat Basel
Chitnis, Nakul
Switzerland, Allschwil
Swiss Tropical and Public Health Institute Swiss Tph
Switzerland, Basel
Universitat Basel
Statistics
Citations: 93
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1016/j.mbs.2012.11.013
ISSN:
00255564
e-ISSN:
18793134
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study