Author(s):
1. Tahira Sadaf:
National University of Sciences and Technology Islamabad,Pakistan
2. Shoab Ahmed Khan:
National University of Sciences and Technology Islamabad,Pakistan
3. Usman Qamar:
National University of Sciences and Technology Islamabad,Pakistan
Abstract:
Infectious disease syndrome like covid-19 falls under the Public health domain and needs to be addressed with timely decisions and rapid actions. For such diseases, the dispersal becomes exponential with frequent social gatherings, therefore the immediate strategy, to control the surging waves of covid-19, was to impose immediate lockdown of COVID-19 infected zones. In this paper, the concept of street networks has been incorporated with shortest path algorithm e.g. minimum spanning tree (MST) to define an approach to investigate the correlation between reported COVID-19 cases and relevant streets in order to adopt better lockdown strategy for unplanned colonies. Geo-spatial representation has been used for subsequent composition of patterns to identify the particular streets for locked down. Results show that MST provides better solution by evaluating explicit areas of concern for lockdown plans.
Page(s):
1-1
DOI:
DOI not available
Published:
Journal: IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2) May 24-26, 2022 (Book of Abstracts), Volume: 1, Issue: 1, Year: 2022
Keywords:
Street Lockdown
,
Covid19 Cases
,
Unplanned Colonies
References:
References are not available for this document.
Citations
Citations are not available for this document.