Epidemiological monitoring integrating spatial and temporal dimension, geographical information systems (GIS) appear as a management tool, planning tool, and Support Tool Decision of sanitary policies.
This study aims to map cholera sanitary risk in order to improve its monitoring due to better fight against the disease in Abidjan.
The combination, of multi-sources data (QUICKBIRD satellite image, socio-environmental survey results and epidemiological data) in a GIS was used to analyze the sanitary environment in precarious settlements and the spatial pattern of confirmed cases of cholera over the period 2011-2012. This analysis was done using environmental and socioeconomic characteristics that influence vulnerability to cholera and to categorize households according their vulnerability indexes.
Analysis of the results shows that all households are vulnerable to cholera with a high index ranging between 2.5 and 3.5 on a scale from 0 to 5. Boribana and Divo have respective indexes 3.07 and 3.05 followed by Mossikro and Zimbabwe each with 2.94 and 2.92. Bromakot