Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

TBornotTB

Financiado

Cerrado

What is Tuberculosis? Challenging the Current Paradigm of Tuberculosis Natural H...

What is Tuberculosis? Challenging the Current Paradigm of Tuberculosis Natural History using Mathematical Modelling Techniques What is Tuberculosis (TB)? How does a person go from infection to disease, and what does this mean at the population level? For a disease that has caused over two billion deaths in human history, and is the biggest cause of death... ver más

30/11/2023

LSHTM

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICIN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-11-30

ERC-2017-STG: ERC Starting Grant

I+D

Cerrada hace 8 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

LSHTM

1.50M€ | Lider

REPSOL / GALP

1.01M€ | Participante

Proyectos interesantes

TECOARTE

Medical Technol...

Data Science

179K€ Cerrado

RYC2021-031613-I

Medical Technol...

Data Science

236K€ Cerrado

SchiSTOP

Medical Technol...

Data Science

176K€ Cerrado

RYC-2017-23560

Medical Technol...

Data Science

309K€ Cerrado

TransMID

Medical Technol...

Data Science

2M€ Cerrado

PID2019-104437GB-I00

Medical Technol...

Data Science

28K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 70 meses Fecha Inicio: 2018-01-12
Fecha Fin: 2023-11-30

Líder del proyecto

LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICIN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto What is Tuberculosis (TB)? How does a person go from infection to disease, and what does this mean at the population level? For a disease that has caused over two billion deaths in human history, and is the biggest cause of death from an infection today, the natural history of TB remains stubbornly elusive. In this ERC award I will challenge current paradigms by exploring the implications of new empirical insights from basic science on our understanding of TB epidemiology and its control using mathematical modelling techniques. My hypothesis is that the prevailing paradigm of TB natural history is overly simple, and one of the key drivers of inaccuracy in projections made by mathematical models thus far. Current models of disease typically account for two distinct stages of infection and disease, with mostly one-directional progression between them. Instead, data has shown that individuals experience a range of stages of disease intensity. Moreover, over time individuals can move between stages through a dynamic interplay between immune induced repression and disease progression. In this ERC award I will first focus on collating the best available data to parameterize a new mathematical model of TB with unprecedented flexibility to capture the required trends. I will settle on the best model structure and understand its behavior. In the second stage, I will use the model to explore critical questions in two areas of TB research that require the detail of the new paradigm: the challenge of addressing latent tuberculosis infection; and incorporating the impact of changes in socio-economic indicators on TB trends. The consequences of such a paradigm shift to better reflect new insights from basic science and epidemiology are important. Initial modelling of intermediate disease states and the potential for progression and regression suggests that the projected impact of diagnostic strategies is substantially reduced, both in the immediate and longer-term.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores