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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.

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

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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