Objective
"Anaemia affects two-third of all preschool-aged children in Africa. Malnutrition, malaria and helminth infections are among the main factors contributing to anaemia in this age group, however their relative contribution across the continent is not well understood. Spatially explicit estimates of anaemia risk are important measures of child morbidity and mortality.
The goal of the project is to develop Bayesian geostatistical methodology for very large, non-stationary data and employ it to (i) determine the relative contribution of malaria, helminth infections and malnutrition on anaemia and severe anaemia burden among pre-school children; (ii) obtain spatially explicit estimates of the risk of anaemia, severe anaemia and number of affected children; (iii) characterize co-endemicity patterns of anaemia, malaria, helminth infection and malnutrition; and (iv) quantify the contribution of severe anaemia to child mortality.
This research will contribute novel statistical methodologies in (i) spatial analysis of very large non-stationary geostatistical data, (ii) variable selection within a non-stationary model for very large geostatistical data, (iii) modelling disease co-endemicity from spatially misaligned surveys arising from independent regression models and (iv) meta-analyses of heterogeneous large spatial data by coupling geostatistical with mathematical transmission models.
Applications of geostatistical methodology will help optimising interventions to combat anaemia by generating (i) the first anaemia risk map and number of affected preschool children across Africa which will guide efficient allocation of nutrient supplements and fortified foods; (ii) anaemia co-endemicity maps and estimates of the relative contribution of anaemia risk factors to design integrated interventions based on local conditions; and (ii) estimates of the anaemia-related mortality across Africa."
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciences health sciences infectious diseases malaria
- social sciences sociology demography mortality
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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2012-ADG_20120314
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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.
Host institution
4123 ALLSCHWIL
Switzerland
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.