Document Type
Journal Article
Publication Title
Tropical Medicine and Infectious Disease
Volume
8
Issue
4
Publisher
MDPI
School
School of Medical and Health Sciences / School of Science
RAS ID
54868
Abstract
Worldwide, mosquito monitoring and control programs consume large amounts of resources in the effort to minimise mosquito-borne disease incidence. On-site larval monitoring is highly effective but time consuming. A number of mechanistic models of mosquito development have been developed to reduce the reliance on larval monitoring, but none for Ross River virus, the most commonly occurring mosquito-borne disease in Australia. This research modifies existing mechanistic models for malaria vectors and applies it to a wetland field site in Southwest, Western Australia. Environmental monitoring data were applied to an enzyme kinetic model of larval mosquito development to simulate timing of adult emergence and relative population abundance of three mosquito vectors of the Ross River virus for the period of 2018–2020. The model results were compared with field measured adult mosquitoes trapped using carbon dioxide light traps. The model showed different patterns of emergence for the three mosquito species, capturing inter-seasonal and inter-year variation, and correlated well with field adult trapping data. The model provides a useful tool to investigate the effects of different weather and environmental variables on larval and adult mosquito development and can be used to investigate the possible effects of changes to short-term and long-term sea level and climate changes.
DOI
10.3390/tropicalmed8040215
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Staples, K., Richardson, S., Neville, P. J., & Oosthuizen, J. (2023). A multi-species simulation of mosquito disease vector development in temperate Australian tidal wetlands using publicly available data. Tropical Medicine and Infectious Disease, 8(4), 215. https://doi.org/10.3390/tropicalmed8040215