Opendata, web and dolomites

MultiSeroSurv SIGNED

Algorithms and multiplex assays for integrated serological surveillance of malaria and neglected tropical diseases

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MultiSeroSurv project word cloud

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

reconstructing    sero    12    surveillance    people    cambodia    converting    fundamental    exposure    epidemiological    stool    surveys    elimination    framework    serologically    actionable    measuring    almost    routinely    antigens    statistical    cross    assays    kinetics    34    bead    tropical    urine    trachoma    mixed    diagnosis    direct    antibody    models    tested    campaigns    population    parasite    samples    serology    augmentation    bayesian    filariasis    analysing    aid    guinea    model    algorithms    serological    lymphatic    detecting    diseases    technologies    longitudinal    blood    papua    multiple    senegal    routine    concurrent    parasites    single    sectional    cohort    utilisation    suspected    validation    innovative    skin    barrier    multiplex    billion    validate    instead    collected    coordinated    strategies    transmission    epidemiology    antibodies    ntds    confirmed    ntd    ethiopia    detection    interdisciplinary    data    luminex    snips    opportunity    characterise    eye    schistosomiasis    pathogens    swabs    analytic    malaria    infections    onchocerciasis   

Project "MultiSeroSurv" data sheet

The following table provides information about the project.

Coordinator
INSTITUT PASTEUR 

Organization address
address: RUE DU DOCTEUR ROUX 25-28
city: PARIS CEDEX 15
postcode: 75724
website: http://www.pasteur.fr

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 France [FR]
 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 2020-02-01   to  2025-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT PASTEUR FR (PARIS CEDEX 15) coordinator 1˙174˙500.00
2    INSTITUT PASTEUR DE DAKAR SN (DAKAR) participant 325˙500.00

Map

 Project objective

Malaria and neglected tropical diseases (NTDs) such as lymphatic filariasis, onchocerciasis, trachoma and schistosomiasis affect almost 2 billion people every year. Coordinated targeting of these diseases will aid future control and elimination campaigns, but this will require integrated surveillance strategies. Malaria surveillance is routinely implemented through cross-sectional surveys where blood samples are tested for parasites. A major barrier to routine NTD surveillance is the range of samples required for parasite diagnosis: stool, urine, blood, eye swabs and skin snips. Instead of direct detection of parasites, there is an opportunity to implement serological surveillance by measuring antibodies to multiple pathogens in blood samples collected for malaria surveillance.

This proposal has four aims: (i) Characterise the sero-epidemiology of malaria and NTDs in longitudinal cohort studies in Senegal, Ethiopia, Cambodia and Papua New Guinea; (ii) Measure antibodies to 34 antigens from 12 pathogens from single blood samples; (iii) Model antibody kinetics and validate the use of serology for detecting infections; and (iv) Demonstrate how a population’s concurrent and past exposure to multiple parasites can be estimated by analysing multiplex data from cross-sectional surveys.

These aims will be achieved through innovative epidemiological studies, new technologies, and especially developed analytic methods, including: (1) utilisation of multiplex bead-based Luminex assays; (2) mixed-effects models in a Bayesian framework with data augmentation to identify serologically suspected infections, with validation against confirmed infections; and (3) statistical algorithms for reconstructing long-term and recent transmission trends. This interdisciplinary project will undertake fundamental research in analytic methods for processing complex multiplex data and converting it to the actionable information needed for integrated serological surveillance of malaria and NTDs.

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

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

AST (2019)

Automatic System Testing

Read More  

CohoSing (2019)

Cohomology and Singularities

Read More  

Cu4Peroxide (2020)

The electrochemical synthesis of hydrogen peroxide

Read More