iPAVE: Innovative Phylodynamic Approaches for Effective Viral Epidemic Management
- Funded by Agence nationale de recherche sur le sida et les hépatites virale [National Agency for AIDS Research] (ANRS)
- Total publications:0 publications
Grant number: ECTZ365376
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Key facts
Disease
Disease XStart & end year
20252028Known Financial Commitments (USD)
$104,130Funder
Agence nationale de recherche sur le sida et les hépatites virale [National Agency for AIDS Research] (ANRS)Principal Investigator
HANNA GeorgesResearch Location
FranceLead Research Institution
Institut PasteurResearch Priority Alignment
N/A
Research Category
Epidemiological studiesResearch Subcategory
Disease surveillance & mappingSpecial Interest Tags
N/AStudy Type
Non-ClinicalClinical Trial Details
N/ABroad Policy Alignment
PendingAge Group
Not ApplicableVulnerable Population
Not applicableOccupations of Interest
Not applicable
Abstract
"The proposed PhD project, iPAVE, seeks to deepen the understanding of epidemiological dynamics and transmission patterns of major Acute Respiratory Infections (ARIs) - Influenza, RSV, and SARS-CoV-2 - in France. By utilizing large-scale genomic datasets from surveillance networks (RELAB and Sentinelles) and cutting-edge phylodynamic methods, the project aims to answer two critical questions : i) How can current phylodynamic methods be extended to cope with large-scale and near real-time molecular surveillance datasets? and ii) What are the key factors driving the spread of circulating Respiratory virus, and how do these factors vary across different populations, geographical regions, and time-periods? While phylodynamic methods, developed over the past two decades, have been instrumental in tracking epidemics using molecular data, they currently struggle with large datasets and real-time analysis. To address these limitations, iPAVE will develop and integrate advanced phylodynamic models into a comprehensive monitoring framework, enabling precise tracking of viral evolution and spread. The project will leverage the RELAB dataset, expected to generate around 10,000 sequences per year, providing a detailed view of ARIs in France. The methodology is divided into three main tasks: data validation and preparation, extending and benchmarking of phylodynamic methods, and large-scale application and analysis. Expected outcomes include a detailed understanding of viral epidemiological dynamics and the establishment of a benchmark for current phylodynamic techniques, which will be applicable for global surveillance. The project will be carried out within the ""Mécanismes moléculaires de la multiplication des Pneumovirus"" unit with a tight collaboration with the National Reference Center for Respiratory virus at Institut Pasteur, leveraging their expertise and high-performance computing infrastructure. It will also beneficit from collaboration with the EID group at Institut Pasteur. This research is poised to make significant contributions to the global surveillance and management of Respiratory virus."