Title of article :
Modelling the Effect of a Novel Autodissemination Trap on the Spread of Dengue in Shah Alam and Malaysia
Author/Authors :
Liang, Y Department of Mathematics and Statistics - University of Strathclyde - Glasgow, UK , Ahmad Mohiddin, M. N School of Diagnostic and Applied Health Sciences - Faculty of Health Sciences - Universiti Kebangsaan Malaysia - Jalan Raja Muda A. Aziz - Kuala Lumpur, Malaysia , Bahauddin, R School of Diagnostic and Applied Health Sciences - Faculty of Health Sciences - Universiti Kebangsaan Malaysia - Jalan Raja Muda A. Aziz - Kuala Lumpur, Malaysia , Hidayatul, F. O School of Diagnostic and Applied Health Sciences - Faculty of Health Sciences - Universiti Kebangsaan Malaysia - Jalan Raja Muda A. Aziz - Kuala Lumpur, Malaysia , Nazni, W. A Medical Entomology Unit - Institute for Medical Research - Jalan Pahang - Kuala Lumpur, Malaysia , Lee, H. L Vector Borne Disease Control Branch - Disease Control Division - Ministry of Health - Putrajaya, Malaysia , Greenhalgh, D Department of Mathematics and Statistics - University of Strathclyde - Glasgow, UK
Abstract :
In this paper, we will start off by introducing the classical Ross–Macdonald model for vector-borne diseases which we use to
describe the transmission of dengue between humans and Aedes mosquitoes in Shah Alam, which is a city and the state capital of
Selangor, Malaysia. We will focus on analysing the effect of using the Mosquito Home System (MHS), which is an example of an
autodissemination trap, in reducing the number of dengue cases by changing the Ross–Macdonald model. By using the national
dengue data from Malaysia, we are able to estimate λ, which represents the initial growth rate of the dengue epidemic, and this
allows us to estimate the number of mosquitoes in Malaysia. A mathematical expression is also constructed which allows us to
estimate the potential number of breeding sites of Aedes mosquitoes. By using the data available from the MHS trial carried out in
Section 15 of Shah Alam, we included the potential effect of the MHS into the dengue model and thus modelled the impact MHS
has on the spread of dengue within the trial area. We then extended our results to analyse the effect of the MHSs on reducing the
number of dengue cases in the whole of Malaysia. A new model was constructed with a basic reproduction number, RMHS
0,Mala, which
allows us to identify the required MHSs coverage needed to achieve extinction in Malaysia. Numerical simulations and tables of
results were also produced to illustrate our results.
Keywords :
Autodissemination , Alam , Malaysia , MHS
Journal title :
Computational and Mathematical Methods in Medicine