Objective
The risk estimations for the lung cancer risk in the normal population due to indoor radon exposure contain still defects and cannot give informed guidance for public health measures.
The proposed case-control study will contribute to the evaluation of radon induced cancer risk for the public by pooling data from a population highly exposed to indoor radon in Schneeberg and Schlema (Saxony) with retrospective outcome analysis over more than 40 years with data from the cancer registry of the former German Democratic Republic for females with the data from recent population studies for lower exposed populations in the Bretagne and the Ardennes covering the total exposure range possible.
To overcome a exposure estimation bias in different population studies cross over radon and radon progeny measurements will be additionally exercised with the radon detectors used in each study for quality control.
Past radon exposures of cases and controls will be reconstructed to secure a new quality in exposure estimation.
The objectives of the study are:
- Risk estimation of the relative risk for lung cancer of mainly nonsmoking females due to indoor radon exposure.
- Dosis response analysis taking into account different time dependend accumulated exposure dosis with tumor histology included.
- Securing unified exposure measurements for the valid pooling of exposure data from the participating studies over a wide range from low to very high radon exposure.
- Testing and applying new methods for the reconstruction of past radon exposures and making use of it for risk estimation.
- Derivation of recommendations from the study for public health use in radon-prone areas for primary prevention measures.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project has not yet been classified with EuroSciVoc.
Be the first one to suggest relevant scientific fields and help us improve our classification service
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
16321 Schönow
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.