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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.

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

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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