Geo-spatial Monitoring Of Infectious Diseases By Unmanned Aerial Vehicles

TL;DR

This paper proposes a hypothetical UAV-based model for monitoring airborne germs and disease spread, aiming to assist epidemiologists in understanding microbial transmission, spatial diffusion, and emerging diseases influenced by climate and ecological factors.

Contribution

It introduces a novel UAV-based hypothetical model to study airborne germ transmission and disease spread, addressing gaps in current monitoring methods.

Findings

Model helps understand microbial traffic and disease transmission.

Addresses impact of climate change and ecological factors.

Provides a framework for monitoring airborne diseases using UAVs.

Abstract

Recent development in unmanned UAV technology paved the way for numerous applications in diverse cross discipline fields. One of the main feature of UAV s are their portability in terms of size that allows them to navigate through fairly hostile environments and collect data . This data collection leads to the interpretation of the behavior and predictability according to the analysis as presented by data science. The application of UAV to monitor the population and climate geography is well documented. But the usage of UAV to study the germs in the atmosphere is not well documented or absent. As air remains one of main medium of transmission of germs so there must be some kind of signature specific for a particular kind of germ. Using this as cue in this present communication a hypothetical model to study the spread of disease is presented. This model can help the epidemiologists to understand the mechanism of microbial traffic like for example flu getting transferred within the same species or cross species ,spatial diffusion like for example human traveling pattern and newly recognized diseases for example various type of flu and vector borne diseases like malaria , dengue etc. This model also covers some relevant scenarios like global climate change, political ecologic emergences of aerial transmitted diseases.