Atanasova-Pacemska, Tatjana and Andonovikj, Beti (2017) COST Action CA16227 - Investigation and Mathematical Analysis of Avant-garde Disease Control via Mosquito Nano-Tech-Repellents (IMAAC). [Project] (In Press)
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Abstract
IMAAC aims at investigation and mathematical analysis of the effect of avant-garde control measures in
vector-borne diseases involving day-time active mosquitos transmitting diseases like dengue, Zika,
chikungunya and yellow fever. The control measures involve new technologies in textile and paint products
based on nano- and micro-particles releasing repellents or pesticides in well portioned dosage. The study
will also be expanded to scenarios using vaccines in combination with mentioned control techniques. The
main focus will be on dengue fever transmitted via Aedes aegypti and Aedes albopictus mosquitoes in
synergy with existing EU-projects, but the application will have also positive effects on other vector-borne
diseases.
Nano- and micro-particles are used in textile production for various purposes, and can be used to release
chemicals like repellents and insecticides in a well-controlled rate. First attempts in this direction have been
made, but no efficacy studies could be performed yet. The spectrum of combinations of nano- or microparticles,
repellents, insecticides and types of textiles (or paint) has not been well studied. Especially,
efficacy studies in cases using these control measures in combination with vaccines are unchartered
territories and mathematical modelling has to be developed.
This Action aims to bring together experts from epidemiology, biostatistics, mathematics, biology, nanotechnology,
chemical and textile engineering to implement new techniques to combat mosquito transmitted
vector-borne diseases. The key question remains, in how far such avant-garde measures can help to
reduce the disease burden, eventually in collaboration with existing vaccines which turned out to have only
limited efficacy on their own.
| Item Type: | Project |
|---|---|
| Subjects: | Natural sciences > Biological sciences Natural sciences > Chemical sciences Natural sciences > Matematics Engineering and Technology > Nano-technology |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Tatjana A. Pacemska |
| Date Deposited: | 01 Nov 2017 13:44 |
| Last Modified: | 01 Nov 2017 13:44 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/18390 |
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