Opendata, web and dolomites

EPIDEMIC SIGNED

Experimental Epidemiology in Ant Societies

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 EPIDEMIC project word cloud

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

time    organisms    predictions    composition    colony    dense    modulate    integrative    molecular    immunity    vary    immune    first    compare    raider    push    monitor    world    lack    edge    structure    clonal    me    uncover    group    live    behavioral    link    types    infection    disease    causal    empirical    cutting    ant    collective    social    infected    insect    data    propagate    experimentally    investigation    predicts    epidemiology    interaction    groups    prophylactic    nematodes    pathogens    activated    limits    linking    combine    risks    probe    inducible    induce    techniques    tracking    onto    rigorous    map    inoculate    risk    biology    function    takes    predicted    thought    protect    dynamics    affords    transmission    theoretical    predict    network    networks    automated    quantify    question    tools    individual    healthy    propagation    tackle    behavior    create    reduce    unparalleled    colonies    hampered    experimental    exacerbated    scarce   

Project "EPIDEMIC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE LAUSANNE 

Organization address
address: Quartier Unil-Centre Bâtiment Unicentre
city: LAUSANNE
postcode: 1015
website: www.unil.ch

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 Switzerland [CH]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (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 2020-08-01   to  2025-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE LAUSANNE CH (LAUSANNE) coordinator 1˙500˙000.00

Map

 Project objective

The risks and impact of disease are exacerbated in social organisms, which live in dense groups wherein pathogens can rapidly propagate. Theoretical epidemiology predicts that disease dynamics will depend in large part on a group's social interaction network, but empirical data are scarce. Experimental epidemiology is currently hampered by a lack of study systems that would enable a rigorous investigation of the causal link between network structure and disease transmission.

I will tackle this question using a novel system, the clonal raider ant, a social insect whose unique biology affords unparalleled control over the main aspects of colony composition that are thought to modulate social network structure, and therefore, disease transmission. My approach will combine cutting-edge automated techniques for behavioral tracking with molecular tools, and develop new methods to monitor transmission in real time. In a first step, I will create empirical networks that are theoretically predicted to vary in transmission risk and map individual immune function onto these networks, to measure the prophylactic network properties that might reduce disease transmission. Second, I will test if experimental increases in immune activity induce changes in behavior that are relevant for disease transmission, to measure inducible network properties. Finally, I will inoculate colonies with nematodes and quantify infection propagation in real time. This will allow me to compare various types of social networks (healthy, immune-activated, infected), to probe the link between behavior and immunity, and to experimentally test predictions from theoretical epidemiology.

This project takes an integrative approach—from individual immunity to collective behavior—to uncover the properties of social groups that protect them against disease. By linking theoretical epidemiology to real-world disease dynamics, it will push the limits of our ability to predict disease dynamics in social groups.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EPIDEMIC" 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 "EPIDEMIC" are provided by the European Opendata Portal: CORDIS opendata.

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

Resonances (2019)

Resonances and Zeta Functions in Smooth Ergodic Theory and Geometry

Read More  

LO-KMOF (2019)

Vapour-deposited metal-organic frameworks as high-performance gap-filling dielectrics for nanoelectronics

Read More  

Cu4Peroxide (2020)

The electrochemical synthesis of hydrogen peroxide

Read More