Data Warehouse And The Deployment Of Data Mining Process To Make Decision For Leishmaniasis And Development Of Mathematical Models For Phlebotomine Sandflies Seasonality In Marrakech City

摘要

This proposal is based on the implementation and the development of tools to analyze the decision making indicators in the epidemiology for the ministry of the health. First, we introduced new tools of data warehouse and data mining to improve epidemiological knowledge specific to the Leishmaniasis in south of Morocco. We developed an information system to facilitate the decisionmaking process, access to the information and data storage in the data warehouse. We considered the density of the sandflies population when taking into account the time and climate change. We are interested in patients with suspected Leishmania infection, so we included the transmission of Leishmaniasis to humans. The concept of Data mining is used to select, to explore and to transform our epidemic data to a prediction index. In order to reduce the transmission of leishmaniasis and to control the vector density, we also suggest developing a simple mathematical model with entomological data in Marrakech area. This model predicts the vector density according to local conditions. Simulations have been done on actual data collected in Marrakesh city to confirm the leishmaniasis risk in this area. In this paper we review the type of decision aids which has been successfully implemented and that we have provided to the responsible of the population health to make better decisions.