Summary
As a paediatrician who specialized in immunology and as a physicist who specialized in mathematical modeling of infectious diseases, I want to introduce with this project a paradigm shift in infectious disease epidemiology through the concept of celluloepidemiology.
Celluloepidemiology is a term I invented to describe my proposed interdisciplinary approach combining unique cellular immune responses against pathogens on a population level with mathematical modeling, thereby generating unique and otherwise not obtainable multidimensional T-cell profiles.
CELLULO-EPI will develop and use such a highly innovative model to simulate how T-cells against pathogens evolve in a synthetic population as a function of age, gender, time since infection and other relevant variables. This model will be parameterized and fitted by cross sectional T-cell data against a wide set of pathogens from 500 individuals (sampled again after 1 year), unique data from individuals with known first infections with dengue and measles and longitudinal data from individuals re-exposed to chickenpox and parvovirus B19.
The insights of CELLULO-EPI will be pivotal for public health. One important example: Varicella-zoster virus (VZV) causes chickenpox but also shingles after VZV reactivation. Vaccination can prevent chickenpox, but the predicted increase in shingles incidence has blocked chickenpox vaccination in many EU-countries. Indeed, re-exposure to chickenpox is hypothesized to protect against shingles through boosting of T-cells. Unfortunately, none of the available epidemiological or immunological tools allow for adequate validation of the boosting hypothesis. However, CELLULO-EPI will be able to solve this persisting VZV vaccination dilemma. Furthermore, CELLULO-EPI will also redefine infectious disease epidemiology, for example by allowing us to back-calculate the time since last exposure.
I am convinced CELLULO-EPI can revolutionize infectious disease epidemiology and public health.
Celluloepidemiology is a term I invented to describe my proposed interdisciplinary approach combining unique cellular immune responses against pathogens on a population level with mathematical modeling, thereby generating unique and otherwise not obtainable multidimensional T-cell profiles.
CELLULO-EPI will develop and use such a highly innovative model to simulate how T-cells against pathogens evolve in a synthetic population as a function of age, gender, time since infection and other relevant variables. This model will be parameterized and fitted by cross sectional T-cell data against a wide set of pathogens from 500 individuals (sampled again after 1 year), unique data from individuals with known first infections with dengue and measles and longitudinal data from individuals re-exposed to chickenpox and parvovirus B19.
The insights of CELLULO-EPI will be pivotal for public health. One important example: Varicella-zoster virus (VZV) causes chickenpox but also shingles after VZV reactivation. Vaccination can prevent chickenpox, but the predicted increase in shingles incidence has blocked chickenpox vaccination in many EU-countries. Indeed, re-exposure to chickenpox is hypothesized to protect against shingles through boosting of T-cells. Unfortunately, none of the available epidemiological or immunological tools allow for adequate validation of the boosting hypothesis. However, CELLULO-EPI will be able to solve this persisting VZV vaccination dilemma. Furthermore, CELLULO-EPI will also redefine infectious disease epidemiology, for example by allowing us to back-calculate the time since last exposure.
I am convinced CELLULO-EPI can revolutionize infectious disease epidemiology and public health.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/851752 |
| Start date: | 01-03-2020 |
| End date: | 28-02-2025 |
| Total budget - Public funding: | 1 499 734,00 Euro - 1 499 734,00 Euro |
Cordis data
Original description
As a paediatrician who specialized in immunology and as a physicist who specialized in mathematical modeling of infectious diseases, I want to introduce with this project a paradigm shift in infectious disease epidemiology through the concept of celluloepidemiology.Celluloepidemiology is a term I invented to describe my proposed interdisciplinary approach combining unique cellular immune responses against pathogens on a population level with mathematical modeling, thereby generating unique and otherwise not obtainable multidimensional T-cell profiles.
CELLULO-EPI will develop and use such a highly innovative model to simulate how T-cells against pathogens evolve in a synthetic population as a function of age, gender, time since infection and other relevant variables. This model will be parameterized and fitted by cross sectional T-cell data against a wide set of pathogens from 500 individuals (sampled again after 1 year), unique data from individuals with known first infections with dengue and measles and longitudinal data from individuals re-exposed to chickenpox and parvovirus B19.
The insights of CELLULO-EPI will be pivotal for public health. One important example: Varicella-zoster virus (VZV) causes chickenpox but also shingles after VZV reactivation. Vaccination can prevent chickenpox, but the predicted increase in shingles incidence has blocked chickenpox vaccination in many EU-countries. Indeed, re-exposure to chickenpox is hypothesized to protect against shingles through boosting of T-cells. Unfortunately, none of the available epidemiological or immunological tools allow for adequate validation of the boosting hypothesis. However, CELLULO-EPI will be able to solve this persisting VZV vaccination dilemma. Furthermore, CELLULO-EPI will also redefine infectious disease epidemiology, for example by allowing us to back-calculate the time since last exposure.
I am convinced CELLULO-EPI can revolutionize infectious disease epidemiology and public health.
Status
SIGNEDCall topic
ERC-2019-STGUpdate Date
27-04-2024
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