ALBOMAURICE: A predictive model for mapping Aedes albopictus mosquito populations in Mauritius

被引:2
|
作者
Iyaloo, Diana P. [1 ]
Degenne, Pascal [2 ,3 ]
Bin Elahee, Khouaildi [1 ]
Lo Seen, Danny [2 ,3 ]
Bheecarry, Ambicadutt [1 ]
Tran, Annelise [2 ,3 ]
机构
[1] Minist Hlth & Wellness, Vector Biol & Control Div, Curepipe, Mauritius
[2] CIRAD, UMR TETIS, St Clotilde, Reunion, France
[3] Univ Montpellier, UMR TETIS, AgroParisTech, CIRAD,CNRS,INRAE, St Clotilde, Reunion, France
关键词
Population dynamics; Mosquito; Aedes albopictus; Risk mapping; Ocelet language; DRIVEN ABUNDANCE MODEL; CHIKUNGUNYA; AEGYPTI; TEMPERATURE; VECTOR; DENGUE;
D O I
10.1016/j.softx.2020.100638
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The ALBOMAURICE software runs a mosquito population dynamics model to predict the temporal and spatial abundance of Aedes albopictus, the dengue disease vector in Mauritius. For each vector surveillance zone, it solves a system of ordinary differential equations describing different stages of the mosquito life cycle. ALBOMAURICE uses daily rainfall and temperature input data to produce abundance maps used operationally by health services for targeting areas where to apply vector surveillance and control measures. Model simulations were validated against entomological data acquired weekly during a year at nine locations. Different control options can also be simulated and their effects compared. (C) 2020 The Author(s). Published by Elsevier B.V.
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页数:7
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