Abstract
The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space–time epidemiology monitoring purpose.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Notes
UCAD (Université Cheikh Anta Diop)—IPD (Institut Pasteur de Dakar)—CSE (Centre de Suivi Ecologique)—DSV (Direction des Services Vétérinaires)—PNLP (Programme National de Lutte contre le Paludisme).
This data model is experienced through the implementation of a PostgreSQL data warehouse fed from different sources using Talend ETL (Extract Transform Load). ETL is used to retrieve data from a source, to process those data (cleaning, formatting or structural change) and to load data in another file or database.
Tests were performed with RapidMiner to which we integrated the Weka algorithms.
This graphic format was chosen to facilitate interpretation by trade experts.
The number in parenthesis represents the total number of captured vectors in the studied area.
TDS: Total Dissolved Solids, EC: Electrical Conductivity, Temp: Temperature, pH : potential Hydrogen.
References
Agrawal R, Srikant R (1995) Mining sequential patterns. In: Yu PS, Chen ALP (eds) Proceedings of the eleventh international conference on data engineering (ICDE), Taipei, Taiwan, pp 3–14. IEEE Computer Society
Alatrista H, Cernesson F, Bringay S, Azé J, Flouvat F, Semaloui N, Teisseire M (2011) Recherche de séquences spatio-temporelles peu contredites dans des données hydrologiques. Revue des Nouvelles Technologies de l’Information (RNTI), numéro spécial Qualité des Données et des Connaissances/Evaluation des Méthodes d’Extraction des Connaissances dans les Données, vol RNTI-E-22, pp 165–188, ISBN: 978-2-70568-286-6
Diagne FF (1992) In: Etude de la Fièvre de la Vallée du Rift chez les ruminants domestiques au Sénégal: enquêtes sérologiques dans la vallée du Fleuve. le Ferlo et la Casamance, PhD, FMPOS/UCAD, pp 29–34
Diallo M (1995) Dynamique comparée des populations de Culicidae à Kédougou (zone soudano-guinéenne) et à Barkédji (zone de savane sahélienne): conséquences dans la transmission des arbovirus. Université Cheikh Anta Diop de Dakar, DEA en Biologie Animale
Diallo M, Lochouarn L, Ba K, Sall A, Mondo M, Girault L, Mathiot C (2000) First isolation of the Rift Valley fever virus from Culex poicilipes (Diptera: Culicidae) in nature. Am J Trop Med Hyg 6(62):702–704
Fabrègue M, Braud A, Bringay S, Le Ber F, Teisseire M (2012) Extraction de motifs spatio-temporels à différentes échelles avec gestion de relations spatiales qualitatives, Infosid 2012, Montpellier
Flick R, Bouloy M (2005) Rift valley fever virus. Curr Mol Med 5:827–834
Golfarelli M, Maio D, Rizzi S (1998) The dimensional fact model: a conceptual model for data warehouses. Int J Coop Inf Syst 7(2–3):215–247
Golfarelli M, Rizzi S, Saltarelli E (2002) WAND: a case tool for workload based design of a data mart. 10th National convention on systems evolution for data bases, pp 422–426
Greboval M (2003) Facteurs environnementaux influençant la dynamique des vecteurs du virus de la Fièvre de la Vallée du Rift: conséquences pour la modélisation de la maladie. Thèse de Doctorat Vétérinaire, ENVL - Ecole Nationale Vétérinaire de Lyon
Information on http://www.oie.int/fr/sante-animale-dans-le-monde/maladies-de-la-liste-de-loie-2013 (2013)
Marakas GM (2003) Decision support systems in the 21st century. Prentice Hall, Upper Saddle River
Mortazavi-Asl B, Pinto H, Dayal U (2000) PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth. In: Proceedings 17th international conference on data engineering, pp 215–224
Ndione JA, Besancenot J, Lacaux J, Sabatier P (2003) Environnement et épidémiologie de la Fièvre de la Vallée du Rift (FVR) dans le bassin inférieur du fleuve Sénégal. Environnement, Risques et Santé 3(2):176–182
Ndione JA, Lacaux JP, Tourre Y, Vignolles C, Fontanaz D, Lafaye M (2009) In: Mares temporaires et risques sanitaires au Ferlo : contribution de la télédétection pour l’étude de la fièvre de la vallée du Rift entre août 2003 et janvier 2004. Secheresse 20(1):153-160
OMS, La fièvre de la Vallée du Rift. Aide-Mémoire 207, Nations Unies (2010). http://www.who.int/mediacentre/factsheets/fs207/fr/index.html
Préhaud C, Bouloy M (1997) La fièvre de la vallée du rift, un modèle d’étude des fièvres hémorragiques virales. Technical report, Institut Pasteur
Ravat F, Teste O, Zurfluh G (2010) Algèbre OLAP et langage graphique. CoRR abs/1005.0213
Tourre YM, Lacaux JP, Vignolles C, Ndione JA, Lafaye M (2008) Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal. Geospatial Health 3(1):69–79
Tran A, Biteau-Coroller F, Guis H, Roger F (2005) Modélisation des maladies vectorielles. Epidémiol et santé anim 47:35–51
Trujillo JC, Luján-Mora S, et Song I (2003) Applying UML for designing multidimensional databases and OLAP applications. In: Siau K (ed) Advanced topics in database research, vol 2. Idea Group Publishing, Hershey, PA, pp 13–36
Wehrle P (2009) Modèle multidimensionnel et OLAP sur architecture de grille. PhD thesis, Institut national des sciences appliquées de Lyon
Acknowledgments
Hugo Alatrista Salas, Lilia Beharrou, Centre National d’Etudes Spatiales (CNES), Institut Pasteur de Dakar (IPD), Centre de Suivi Ecologique (CSE).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bouba, F., Bah, A., Cambier, C. et al. Decision Making Environment on Rift Valley Fever in Ferlo (Senegal). Acta Biotheor 62, 405–415 (2014). https://doi.org/10.1007/s10441-014-9235-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10441-014-9235-7