Opendata, web and dolomites


Modelling to Optimize Vector Elimination: Destabilising mosquito populations

Total Cost €


EC-Contrib. €






 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.

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

Project "MOVE" data sheet

The following table provides information about the project.


Organization address
postcode: G12 8QQ

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


Take a look of project's partnership.

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


 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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