6-8 June 2016, Rennes, France


WS1: Disaggregating exposure for source identification: lessons from lead exposures

Philippe Glorennec, UMR Inserm 1085-IRSET/E9, Rennes, France

In epidemiologic research, exposure assessment is oriented on an integration of different exposures in order to provide an estimate of total exposure.
In this workshop attendees will be invited to elaborate on methods for source identification. On the basis of scientific papers related to lead exposures, attendees will discuss the pros and cons of different methods and their application to other pollutants.

WS2: Analysis of spatial environmental data to characterize exposure inequalities

Julien Caudeville, INERIS, Verneuil-en-Halatte, France

The overall aim of this workshop is to describe and demonstrate ways in which spatial methods and geographical information systems (GIS) can be used for exposure assessment and risk analysis and thereby support public health policy. Following a brief introduction to the basic principles and functionality of GIS, the course will explore geostatistical methods available (spatial interpolation, modeling and data linkage techniques) for the analysis of environmental data that can be used for characterizing exposure inequalities.

WS3: Integrating activity patterns in exposure assessment for use in epidemiology and health impact assessment

Audrey de Nazelle, Imperial College, London, United Kingdom

The workshop will discuss how to improve exposure assessment to reduce exposure measurement error in epidemiologic studies and to improve health impact assessments for better policy decision making. We will reflect on sources of errors in exposure assessment and potential solutions to minimize them, highlighting the importance of context and purpose of the study.
Examples from research studies using novel ubiquitous sensing methods and testing new directions capitalizing on big data opportunities will help guide the discussion.

WS4: Biobanks in epidemiological studies: practical issues and methodological aspects

Joseph Henny, Inserm UMS 011, St-Quentin-en-Yvelines, France

Biobanks are extremely powerful tools for clinical, medical, biological and epidemiological research. How to succeed 'his' biobank project?

- Designing the biobank around a reliable scientific project, open to numerous collaborations;
- Anticipate future needs;
- Ensure the integrity of biological samples by an adapted organization and a suitable logistics;
- Select the most appropriate technical solutions (collection of biological samples, liquid handling, biopreservation; Biobank Information System, logistics, management, ...;
- Implement a quality assurance scheme;
- Respect the ethical and legal rules;
- Enhance the value of biological collections: ensure effective use of biospecimens (return on investment).


Updated on 15/06/2017