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MultiSeroSurv SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

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 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.

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

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.

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

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