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EPIDEMIC SIGNED

Experimental Epidemiology in Ant Societies

Total Cost €

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EC-Contrib. €

0

Partnership

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 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.

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

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.

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

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