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Design of Cross-Border One-Health Observatories in South America
Data science and models for understanding and control of eco-epidemiological systems

Institut de Recherche pour le Développement

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CSS5-IRD :  ROUX, Emmanuel / Design of Cross-Border One-Health Observatories in South America Competencies of  ROUX, Emmanuel , PhD scientist
UMR Espace-Dev   Space observation, models & actionable science

citations Google scholar   citations HAL   citations IRD   citations ORCID   citations Publons   citations ResearchGate   UMR Espace-Dev   web-link Fiocruz   web-link LAGAS   web-link LMI Sentinela   _get in touch  
The current research is entitled: "Data science and models applied to the understanding and control of eco-epidemiological systems, particularly at the international borders of the Brazilian Amazon"

- LMI Sentinela: The joint international lab. for Transboundary Observation of Environment, Climate and Vector Diseases
- Fiocruz: the brazilian Climate and Health Observatory (Observatório Clima e Saúde)
- LAGAS: Lab. of Geogr., Environ. Health (Laboratório Geografia, Ambiente e Saúde da Universidade de Brasília (UnB))
Below: competencies in black when any are unique to E. Roux's profile in the current state of the database

aggregation (spatial)Amazon forestbig databiostatisticsBrazilcartography and mappingclassification - typologycomputer sciencecross-border approachdata (environmental, socio-ecological)data (healthcare)data (multimodal)data (multisource)data (satellite)data analysisdata clusteringdata curationdata disseminationdata heterogeneitydata integrationdata interoperabilitydata managementdata miningdata poor contextdata preprocessingdata processingdata quality assessmentDATA SCIENCEdengue feverdisease incidence (epidemiology)environmental healthEpidemiologyexplainable AIFAIR (Find, Access, Interoperate, Reuse) dataFrench Guianageographic information scienceGeography (health)geolocationgeomaticsGIS (Geogr. Inform. Sys.)health policyindicator (biological)indicator (dashboard)indicator (environmental)indicator (health)infectious diseaseinformation processinginformation systemInformation Technology (IT)interoperabilitymachine learning (structural)malariamodel (spatially explicit)MODELLINGmodelling (habitat, ecology)modelling (multi-scale)modelling (statistical)monitoring (health)multi-scale (spatial and temporal)multi-scale (spatial)MULTIDISCIPLINARYmultivariate data analysis (MVA)observatoryOneHealth - EcoHealthopen dataopen scienceopen sourcepublic healthR programmingradar altimetryremote sensingrisk (health)SDG 03 (Sust. Devel. Goal - Health and well-being)SDG 10 (Sust. Devel. Goal - World equity)SDG 13 (Sust. Devel. Goal - Climate)South Americaspatial analysisspatial dynamicsstatisticsstatistics (spatial)survey (design)territorytraining (fr: formation)UMR Espace-dev (space for devel.)vector-borne disease /


Last update : 2022-01-14  (id: 62 )

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CSS5 related headings

     Field Location
     illness- disease
     Method or approach
     Natural Process
     Science or discipline
     SDG (Sust. Dev. Goal) Theme

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