Abstract:
Swarms of mosquitoes erupting from soil-logged eggs (exacerbated by climate change)
carrying a host of diseases such as Zika, dengue and malaria, making mosquitoes the world's
deadliest animals. Outbreaks of such vector borne diseases leaves drastic impact especially on
subtropical countries with limited public health resources. Lack of competitive surveillance
system and poorly developed diagnostic infrastructure are one of the reasons for poor
understanding of distribution and magnitude of these diseases. Chances of outbreak of Zika
virus (ZIKV) following human West Nile virus (WNV) and chikungunya (CHIKV) epidemics
has left the public in panic. Unavailability of licensed vaccine to deal with such epidemics to
date leaves vector control only preventive measure in such conditions. This Project aims to
monitor such outbreaks by taking in account depending environmental variables and mapping
possible spots that'll help allocate limited public health resources. The system comprises of
mosquito surveillance system that consist of two parts one for classifying and counting
mosquitoes in real time and other part provides mosquito observatory environment for
behavioural analysis. Real time classification, trend and behavioural analysis is then visualized
on Mosquitrack (Dashboard created using JavaScript, Python, Flask, ChartJS and leaflet
respectively). This will help epidemiologists and health care sector in taking necessary steps to
deal with such situation beforehand.
