• Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data

    Extract of Malaria Journal - sept 2010
    Vanessa Machault, , Cecile Vignolles [2], Frederic Pages [1], Libasse Gadiaga , Abdoulaye Gaye[4], Cheikh Sokhna [4], Jean-Francois Trape[4], Jean-Pierre Lacaux [3], Christophe Rogier [1].
    The United Nations forecasts that by 2050, more than 60% of the African population will live in cities. Thus, urban malaria is considered an important emerging health problem in that continent. Remote sensing (RS) and geographic information (...)

    Published: 2011/01/27
  • Where is Malaria ?

    Malaria is a very old disease and prehistoric man is thought to have suffered from malaria. It probably originated in Africa and accompanied human migration to the Mediterranean shores, India, and South East Asia. In the past it used to be common in the marshy areas around Rome and the name is derived from the Italian, (mal-aria) or "bad air" ; it was also known as Roman fever.
    Geographic Distribution
    Now, where malaria is found depends mainly on climatic factors such as temperature, (...)

    Published: 2008/10/16
  • Mapping Rift Valley fever and malaria risk over West Africa using climatic indicators

    Extract of ATMOSPHERIC SCIENCE LETTERS - 18 August 2010
    Published online in Wiley Online Library DOI : 10.1002/asl.296
    C. Caminade, J. A. Ndione, C. M. F. Kebe, Y. M. Tourre,,L J-P. Lacaux, C. Vignolles, J. B. Duchemin, I. Jeanne and A. P. Morse [1]
    The aim of this study is to highlight the recent progress in mapping vector-borne diseases in West Africa using modelling and field experiments. Based on climatic indicators, methods have been developed to map Rift Valley fever (...)

    Published: 2011/02/24
  • What is PaluSat project ?

    PALUSAT projectis an initiative of the French Spatial Agency and the French Armed Forces Biomedical Research Institute. Main objective is to set up an operational predicting spatial and temporal tool for malaria risk using remote sensing information.
    Malaria epidemiology
    The number of malaria cases, the exposed population and the spatial and temporal distribution of the disease are driven by 2 different types of factors : intrinsic and extrinsic. The intrinsic factors relate to the (...)

    Published: 2008/05/21