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dynamAedes: a unified modelling framework for invasive Aedes mosquitoes

Authors :
Daniele Da Re
Wim Van Bortel
Friederike Reuss
Ruth Müller
Sebastien Boyer
Fabrizio Montarsi
Silvia Ciocchetta
Daniele Arnoldi
Giovanni Marini
Annapaola Rizzoli
Gregory L’Ambert
Guillaume Lacour
Constantianus J. M. Koenraadt
Sophie O. Vanwambeke
Matteo Marcantonio
Source :
Parasites & Vectors, Vol 15, Iss 1, Pp 1-18 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Mosquito species belonging to the genus Aedes have attracted the interest of scientists and public health officers because of their capacity to transmit viruses that affect humans. Some of these species were brought outside their native range by means of trade and tourism and then colonised new regions thanks to a unique combination of eco-physiological traits. Considering mosquito physiological and behavioural traits to understand and predict their population dynamics is thus a crucial step in developing strategies to mitigate the local densities of invasive Aedes populations. Here, we synthesised the life cycle of four invasive Aedes species (Ae. aegypti, Ae. albopictus, Ae. japonicus and Ae. koreicus) in a single multi-scale stochastic modelling framework which we coded in the R package dynamAedes. We designed a stage-based and time-discrete stochastic model driven by temperature, photo-period and inter-specific larval competition that can be applied to three different spatial scales: punctual, local and regional. These spatial scales consider different degrees of spatial complexity and data availability by accounting for both active and passive dispersal of mosquito species as well as for the heterogeneity of the input temperature data. Our overarching aim was to provide a flexible, open-source and user-friendly tool rooted in the most updated knowledge on the species’ biology which could be applied to the management of invasive Aedes populations as well as to more theoretical ecological inquiries. Graphical Abstract

Details

Language :
English
ISSN :
17563305
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Parasites & Vectors
Publication Type :
Academic Journal
Accession number :
edsdoj.409d1b961c274b8289f9ba2ff0fc9c8c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13071-022-05414-4