Objective
* Construct mathematical models of the immunological and clinical epidemiology of Plasmodium falciparum (P.f.) malaria, and test the model predictions against observations collected independently of this project.
* Use the models for helping to:
a) calculate the expected impact of interventions;
b) improve the design of field intervention trials;
c) identify crucial gaps in knowledge that constrain (a) and (b).
Expected Outcome
Better simulation models will help to clarify the following issues:
1) Optimal adaptation of control strategies, using currently available methods, to different epidemiological and socio-economic situations, including projections of what could be expected from additional resources;
2) Expected benefits from new tools likely to be technically feasible, including different kinds of vaccines;
3) Optimal development and evaluation strategy of such new tools.
* Review of relevant biological, clinical, and epidemiological knowledge
* Specification of observations to be used as modelling targets:
a) longitudinal data on the behaviour of P.f. infection and disease in individuals after one or more experimental inoculations;
b) longitudinal data on the behaviour of P.f. infection and disease in individuals naturally exposed to repeated inoculation;
c) longitudinal data on the transmission of P.f. and the behaviour of P.f. infection and disease in naturally exposed populations.
* Formulation (and reformulation) and programming of the models.
* Design, performance and evaluation of simulations.
The evaluation will consist primarily of the formal comparison of simulations to observations. The comparisons will suggest revisions of the models' assumptions and parameters values, until an acceptable fit is obtained.
* Formulation of recommendations
The practical implications of the work will be made explicit, leading to recommendations in the following areas: (a) planning of malaria control; (b) evaluation of malaria control programmes and of field trials; (c) epidemiological research; (d) research on statistical methods.
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.
- medical and health sciences health sciences infectious diseases malaria
- medical and health sciences health sciences public health epidemiology
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs vaccines
- natural sciences mathematics applied mathematics mathematical model
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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.
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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
72076 TUEBINGEN
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.