A WEB-BASED GEOSPATIAL SOLUTION FOR REAL TIME DENGUE VECTOR MONITORING AND PROMPT CONTROL

Abstract

The spread of vector-borne diseases is a genuine threat to society. They commonly prevail in tropical regions. Of the countries affected Pakistan rates high on the vulnerability index. The country experienced major outbreak of dengue during past years. Spatial-temporal analysis of the disease events is very important for disease vector detection, outbreak and mitigation purposes. The power of G IS is not only confined to the mapping of aggregated data but geospatial technologies are able to deal with geospatial Big Data, find exciting patterns and helps decision makers in taking spatial decisions. Keeping this in view we are working on the design and implementation of a web based geospatial toolkit for early Dengue vector detection and disease control. It is being developed using open-source technologies and Internet of Things. It comprises of five modules 1) Spatial Data Management Module, in which Health sector professionals can log disease events data with space-time information, 2) An analytical Module running Species Distribution Model i.e. The MaxEnt Model to map Potential Sites for dengue, 3) Spatial Database Module which will allow the user to carry out spatial queries, hotspot analysis and find the disease events close in space and time 4) A GIS Mapping Module that will be used for visualization of events like the results of the Model and Dengue fever outbreak 5) An IoT (Internet of things) based device Mosqi-Trap. The execution of the online toolkit will have certain plus points like monitoring the outbreak of vector-borne-disease-at-various-levels-and-timely. This will help epidemiologists and health care sector professionals in identifying the hotspots of dengue spread, resource allocation. The data of the Mosqi-trap will help researchers in detecting dengue vector, larval indices and determining the environmental variables and habitat that nourishes Dengue vector growth.