Login / Signup

An investigation of the bio-medical waste produced in India during the COVID-19 pandemic and Maharashtra state (pre-COVID-19 and post-COVID-19) analysis: a GIS-based approach.

Wasim Ayub Bagwan
Published in: Research in health services & regions (2023)
In this study, a Geographical Information System (GIS) was employed to create a mapped representation of the BMW data at national scale. Further, the study investigated changes in BMW generation in Maharashtra state during the COVID-19 pandemic. Analysis of changes in BMW generation revealed a pattern of BMW generation during the pandemic. The use of GIS technology to track these changes proved to be a valuable tool in providing a synoptic view of the overall BMW condition across India and identifying areas where infectious waste poses a significant threat. The visualisation of data using the GIS technique provided an easy means of identifying hotspots of BMW generation, which is more effective compared to a tabular format.
Keyphrases
  • coronavirus disease
  • sars cov
  • healthcare
  • big data
  • risk assessment
  • mass spectrometry
  • single cell
  • machine learning
  • deep learning
  • health information
  • atomic force microscopy
  • municipal solid waste