The use of remotely sensed environmental data in the study of malaria

Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier
  • Vanessa Machault
    Département d’Infectiologie de Terrain – Equipe 7 “Maladies Emergentes et Moustiques” Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE) UMR6236, Institut de Recherche Biomédicale des Armées, Allée du Médecin Colonel Jamot, Marseille; Observatoire Midi-Pyrénées, Laboratoire d’Aérologie, Centre National de le Recherche Scientifique, Université Paul Sabatier, Toulouse; Centre National d’Etudes Spatiales, Service Applications et Valorisation, Toulouse, France | vanessamachault@yahoo.com.br
  • Cécile Vignolles
    Centre National d’Etudes Spatiales, Service Applications et Valorisation, Toulouse, France
  • François Borchi
    METEO-France, Direction de la Climatologie, Toulouse, France
  • Penelope Vounatsou
    Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland
  • Frédéric Pages
    Département d’Infectiologie de Terrain – Equipe 7 “Maladies Emergentes et Moustiques” Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE) UMR6236, Institut de Recherche Biomédicale des Armées, Allée du Médecin Colonel Jamot, Marseille, France
  • Sébastien Briolant
    Département d’Infectiologie de Terrain – Equipe 7 “Maladies Emergentes et Moustiques” Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE) UMR6236, Institut de Recherche Biomédicale des Armées, Allée du Médecin Colonel Jamot, Marseille, France
  • Jean-Pierre Lacaux
    Observatoire Midi-Pyrénées, Laboratoire d’Aérologie, Centre National de le Recherche Scientifique, Université Paul Sabatier, Toulouse, France
  • Christophe Rogier
    Département d’Infectiologie de Terrain – Equipe 7 “Maladies Emergentes et Moustiques” Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE) UMR6236, Institut de Recherche Biomédicale des Armées, Allée du Médecin Colonel Jamot, Marseille, France; Institut Pasteur de Madagascar, Antananarivo, Madagascar

Abstract

Mapping and anticipating risk is a major issue in the fight against malaria, a disease causing an estimated one million deaths each year. Approximately half the world’s population is at risk and it is of prime importance to evaluate the burden of malaria at the spatial as well as the temporal level. The role of the environment with regard to the determinants of transmission and burden of the disease are described followed by a discussion of special issues such as urban malaria, human population mapping and the detection of changes at the temporal scale. Risk maps at appropriate scales can provide valuable information for targeted control and the present review discusses the essentials of principles, methods, advantages and limitations of remote sensing along with a presentation of ecological, meteorological and climatologic data which rule the distribution of malaria. The panel of commonly used analytic methods is examined and the methodological limitations are highlighted. A review of the literature details the increasing interest in the use of remotely sensed data in the study of malaria, by mapping or modeling several malariometric indices such as prevalence, morbidity and mortality, which are discussed with reference to vector breeding, vector density and entomological inoculation rate, estimates of which constitute the foundation for understanding endemicity and epidemics.

Keywords

malaria, urban malaria, indicators, environment, remote sensing, satellites, statistics.

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Submitted: 2014-12-18 12:17:42
Published: 2011-05-01 00:00:00
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Copyright (c) 2011 Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

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