Senegal – Spatial distribution of mosquitoes carrying Rift Valley Fever

Risks associated with infectious diseases SEC

Risks associated with infectious diseases SEC


Theia “Risks Associated with Infectious Diseases” scientific expertise centre (SEC) brings together research teams from UMR AstreUMR TetisUMR Espace-Dev, UMR IDEES, CRC-Université de Bourgogne and Cnes, all developing transmission risk maps for the various infectious diseases, vector-borne or otherwise, using Earth Observation data.

These products are destined to help spread information on epidemiological risks linked to infectious diseases among public health care players.

Risk maps, modelling and mapping tools and land use maps

The products proposed are risk maps, defined in terms of the probability of cases occurring or the presence of vectors :

  • For various infectious diseases: Nil fever, Rift Valley fever, malaria, dengue or chickungunya
  • For various areas of study (Europe, Africa, South America, Asia and the Indian Ocean)
  • At different space scales

Risk maps

Spatial modeling of mosquito vectors for Rift Valley fever virus in Northern SenegalNorth Senegal 2014-2016 CC BY-NC 4.0DataVerse
Map of rat fleas vector for murins typhus distributionReunion Island2018CC BY-NC 4.0DataVerse

Mapping and Modelling tools

ALBOMAURICE |a model of Aedes albopictus mosquito population dynamics, developed for MauritiusMauritiusCC BY-NC 4.0DataVerse
ALBORUN | a model of Aedes albopictus mosquito population dynamics, developed for Reunion Island Reunion Island CC BY-NC 4.0 DataVerse
ARBOCARTO | Mapping tool to predict the population density of Aedes vectors _ CC BY-NC 4.0DataVerse
NLHI -Normalized Landscape Hazard index | Python Code, a tool for mapping the influence of the landscape on the probability of human/vector interaction   CC BY-NC 4.0 Framagit
Geocoding python code for disease cases (e.g. dengue in Brazil) based on OSM   CC BY-NC 4.0 Forthcoming

Land Cover Maps for the study of health/environment relationships

Water Surfaces Hwangue National Park, Zimbabwe 2018CC BY-NC 4.0Hwangue
North Kruger
Zimbabwe National Parks Land Cover Hwangue, Gonarezhou & North Kruger National Park, Zimbabwe 2018 CC BY-NC 4.0 Hwange
North Kruger
Land CoverBuriram, Thailand 2006-2008 CC BY-NC 4.0
Land CoverLoei, Thailand2007-2008 CC BY-NC 4.0
Land CoverLuang Prabang, Laos 2006-2007 CC BY-NC 4.0
Land CoverMondolkiri,Cambodge 2008 CC BY-NC 4.0
Land CoverNan, Thailand 2006-2007 CC BY-NC 4.0
Land CoverChampasak, Laos 2007 CC BY-NC 4.0
Land CoverPreah Sihanouk, Cambodge 2006-2007 CC BY-NC 4.0
Land CoverChiang Rai, Thailand 2010-2012 CC BY-NC 4.0
Land CoverKalasin, Thailand, 2011-2013 CC BY-NC 4.0
Land CoverLapsik,
2010-2012 CC BY-NC 4.0
Land CoverPrachuap Khiri Khan, Thailand 2011-2013 CC BY-NC
Land CoverTha Wang Pha, Thailand2016CC BY-NC 4.0
Land CoverTonle Sap Lake, Cambodge2012-2014CC BY-NC 4.0
Land CoverKanchanaburi, Thailand2011-2013CC BY-NC 4.0
Land CoverKandal, Cambodge2014-2015CC BY-NC 4.0
Land CoverBrasilia, Brasil2017 to 2019CC BY-NC 4.0GeoDEV
Land CoverGuyane-Brasil BorderSince 2017CC BY-NC 4.0GeoDEV


Annelise Tran
Cirad | Tetis

Renaud Marti
INRAE| Tetis

Thibault Catry

Thibault Catry
IRD | Espace DEV
Contributions FR