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MOVE SIGNED

Modelling to Optimize Vector Elimination: Destabilising mosquito populations

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 MOVE project word cloud

Explore the words cloud of the MOVE project. It provides you a very rough idea of what is the project "MOVE" about.

declines    elimination    borne    filling    entomologists    game    evolutionary    theory    move    endemic    relative    vector    accelerate    science    extensive    medical    persistence    population    altered    reducing    public    mostly    space    composition    connectivity    almost    unprecedented    undermine    suppress    dependence    ecologist    eliminating    least    tools    underpin    resistance    dissection    dynamics    intend    largely    entomology    initial    surveillance    closer    community    efforts    unknown    resolution    ecology    strategies    density    edge    cutting    overcome    control    health    regulation    analytical    insecticide    hinders    simultaneously    longitudinal    models    harness    dengue    datasets    sophisticated    prediction    explore    closely    chagas    quantitative    data    unexpected    sustainably    inter    arthropod    countries    regulating    malaria    complexity    scientists    rarely    interventions    series    methodological    decline    gaps    ecological    integration    demographic    time    diseases    fragmentation    vectors    populations    metapopulation    ecologists    routinely    relies   

Project "MOVE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF GLASGOW 

Organization address
address: UNIVERSITY AVENUE
city: GLASGOW
postcode: G12 8QQ
website: www.gla.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙259˙763 €
 EC max contribution 1˙259˙763 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2025-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF GLASGOW UK (GLASGOW) coordinator 1˙259˙763.00

Map

 Project objective

Control of vector-borne diseases from Chagas to Malaria to Dengue largely relies on reducing or eliminating the arthropod vector populations. These public health initiatives routinely lead to at least initial declines in vector populations. The challenge is that as populations decline, unexpected evolutionary (such as insecticide resistance) and ecological changes (such as population fragmentation and altered density-dependence) can occur that might facilitate or undermine control efforts. However, the relative importance of these ecological intra- and inter-specific processes in regulating vector populations is almost unknown, which hinders the prediction of vector population dynamics and how different interventions might be most effectively deployed to sustainably suppress vectors. Although vector surveillance has generated extensive high-resolution time series datasets to assess the factors that underpin population persistence and regulation, the cutting-edge analytical tools required to overcome the complexity of these data have been mostly developed by ecologists and have rarely been applied in medical entomology. Filling both these knowledge and methodological gaps will require closer integration of public health science, medical entomology and ecology that I intend to deliver through this proposal. As a quantitative ecologist, I will work closely with medical entomologists and public health scientists, to develop and apply sophisticated state-space models to longitudinal vector surveillance data from five malaria endemic countries. I will determine how interventions impact vector: 1) population regulation, 2) metapopulation connectivity and persistence, and 3) community composition. This unprecedented demographic dissection of vector populations will simultaneously challenge ecological theory and explore how to harness intra- and inter-specific processes in vector populations to accelerate 'end-game' strategies that move from vector control to elimination.

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The information about "MOVE" are provided by the European Opendata Portal: CORDIS opendata.

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