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.
