Objective
European network to develop policy relevant models and socio-economic analyses of use, consequences and interventions general aim: This proposal aims to bring together and consolidate existing networks o experts in prevalence estimation and dynamic modelling of drug use. The goal is t develop a set of tools to analyse data on drug use, its consequences, underlying social, economical, and health factors and processes and to explore the feasibility of applying them to evaluate policy options or interventions.
BACKGROUND: There are important differences among and within countries of the European Union in the prevalence, trends and patterns of drug use. The EMCDDA is a newly established European agency with the task of improving comparability and quality of data on drug use and its consequences in the EU. The EMCDDA is developing a Europe-wide system of collection of routine data that is being collated in several databases and is disseminated in the form of publications and meetings. Modelling can complement the continuous data-collection by developing and applying tools for analysis and integration of these data. It can generate estimates where data are incomplete and can help to evaluate different policy options. The EMCDDA has actively stimulated the use of statistical models to estimate the prevalence of problem drug use through two projects, one at the local level, and the other at national level. In parallel, with the vision of moving from static estimates to more dynamic analyses of processes, the EMCDDA recently completed a project to map the possibilities for dynamic modelling in the field of drug use. The project recommended further work in several areas, essentially assessing the temporal and geographic spread of drug use in Europe, describing its economic, social and health consequences, studying their relations with broader social and socio-economic underlying factors and processes, and evaluating the effects of different policy options and interventions. The three working groups involved in these three projects are strongly interconnected through overlap in participants, methods used and pursued outcomes. Bringing them together into one larger network will increase the possibilities of sharing expertise and data and improve the international comparability of methods and definitions used.
OBJECTIVES:
1) Stimulate and consolidate newly existing multi-national networks of experts, integrating complementary disciplines essential for studying druguse;
2) Develop statistical and dynamic models of drug use, leading to improved estimates and analyses of spread, consequences, causes and interventions, and enhance European comparability;
3) Explore the feasibility of applying models to evaluate policy options or interventions;
4) Generate proposals for further research.
ORGANISATION: The 3-year proposal encompasses two broad areas, e.g. prevalence(statistical) modelling and dynamic modelling. Each of these areas will bejointly coordinated by two partners with complementary expertise. In prevalencemodelling one will focus on local and the other on the national level, while inthe dynamic modelling the emphases will be socio-economic and health-economicrespectively. The co-ordinators will form smaller working groups, extended withtopic experts if necessary and on a meeting by meeting basis. Working groupmeetings will be held two times per year, if useful combining related workinggroups to have larger meetings. An extra plenary meeting is held once per year. The working groups will develop models, generate estimates and work on furtherproposals. They will actively seek further (national) funding to intensify the work.
OUTPUT: The main output foreseen consists of tools (models) to analyseepidemiological data on drug use, as well as estimates of prevalence andincidence and 'test'evaluations of different policy options. Dissemination willtake place to other scientists, policy makers and a wider audience of personsinterested in drug use epidemiology, through scientific and non-scientificpublications and a final seminar.
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.
- natural sciences computer and information sciences databases
- medical and health sciences health sciences public health epidemiology
- natural sciences mathematics applied mathematics statistics and probability
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
1100 Lisboa
Portugal
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.