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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Multilevel modelling and malaria: A new method for an old disease
International Journal of Epidemiology, Volume 33, No. 6, Year 2004
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Description
Background. Malaria is influenced by a web of individual and ecological factors, i.e. factors relating to people and relating to environment. For a long time analysing these factors concurrently has raised statistical problems. Multilevel modelling provides a new attractive solution, which is still uncommon in tropical medicine. Methods. Using an actual data set of 3864 individuals from 38 villages of the Highland Madagascar, a two-level modelling process is presented. Individual malaria parasitaemia is modelled step by step according to age (individual factor), altitude, and DDT indoor house-spraying status (village factors). Results. The hierarchical organization of a data set in levels, fixed and random effects, and cross-level interactions are considered. Accurate estimations of standard errors, impact of unknown or unmeasured variables quantified and accounted for through random effects, are the highlighted advantages of multilevel modelling. Conclusion. While not denying the importance of understanding an aetiological chain, the authors recommend an increased use of multilevel modelling, mainly to identify accurately ecological targets for public health policy. © International Epidemiological Association 2004; all rights reserved.
Authors & Co-Authors
Mauny, Frédéric J.
France, Besancon
Faculty of Medicine
Madagascar, Antananarivo
Centre de Recherche Pour le Développement Université Catholique de Madagascar
Viel, Jean François
France, Besancon
Faculty of Medicine
Handschumacher, Pascal
France, Marseille
Ird Institut de Recherche Pour le Developpement
Sellin, Bertrand
Madagascar, Antananarivo
Centre de Recherche Pour le Développement Université Catholique de Madagascar
Statistics
Citations: 42
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1093/ije/dyh274
ISSN:
03005771
Research Areas
Health System And Policy
Infectious Diseases
Study Locations
Madagascar