Web-based climate information resources for malaria control in Africa
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* Corresponding author: Stephen J Connor sjconnor@iri.columbia.edu
Malaria Journal 2006, 5:38 doi:10.1186/1475-2875-5-38
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Research
Bayesian modelling of the effect of climate on malaria in Burundi Hermenegilde Nkurunziza, Albrecht Gebhardt, Jürgen Pilz Malaria Journal 2010, 9:114 (29 April 2010) A spatial/longitudinal statistical analysis to identify important climatic variables that influence malaria incidences in Burundi
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Research
Models for short term malaria prediction in Sri Lanka Olivier JT Briët, Penelope Vounatsou, Dissanayake M Gunawardena, Gawrie NL Galappaththy, Priyanie H Amerasinghe Malaria Journal 2008, 7:76 (6 May 2008) A solid contribution towards the development of early warning systems for malaria using a forecasting system based on epidemiological and rainfall data. The difficulties of establishing a forecasting system in a country where there have been dramatic swings in incidence rates over the last century is acknowledged and the authors have taken a pragmatic approach to testing district based forecasting across the country.
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Review
Lyn-Marie Birkholtz, Olivier Bastien, Gordon Wells, Delphine Grando, Fourie Joubert, Vinod Kasam, Marc Zimmermann, Philippe Ortet, Nicolas Jacq, Nadia Saïdani, Sylvaine Roy, Martin Hofmann-Apitius, Vincent Breton, Abraham I Louw, Eric Maréchal Malaria Journal 2006, 5:110 (17 November 2006) A review of the different tools and strategies that have recently been developed to process the huge amount of data produced by the X-omic projects. This includes the comparison of protein sequences, high throughput reconstruction of molecular phylogenies, representation of biological processes, methods to integrate X-omic generated data following drug treatments and in silico prediction of protein structure and identification of specific ligand.
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