Opendata, web and dolomites

MOVE SIGNED

Modelling to Optimize Vector Elimination: Destabilising mosquito populations

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MOVE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

EASY-IPS (2019)

a rapid and efficient method for generation of iPSC

Read More  

HBPTC (2019)

Hydrogen Bonding Phase Transfer Catalysis

Read More  

HyperBio (2019)

Vis-NIR Hyperspectral imaging for biomaterial quality control

Read More