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Journal Article

Identification of Potential Lockdown Areas during COVID-19 Transmission in Punjab, Pakistan

Full-text available (ResearchGate)  ·  2020

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Full-text available (ResearchGate)

Year

2020

Type

Journal Article

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Abstract

Research Summary

GIS-based real-time hotspot analysis and predictive modelling to identify COVID-19 lockdown areas in Punjab, Pakistan — providing spatial transmission intelligence for targeted pandemic response and evidence-based lockdown decision-making.

This study presents real-time COVID-19 spread mapping and monitoring methodology for identifying lockdown and semi-lockdown areas using hotspot analysis and geographic information systems (GIS). Data for all confirmed COVID-19 cases in Punjab Province were collected through October 2020. The study employs spatial clustering methods to identify transmission hotspots and implements near-future prediction modelling to estimate COVID-19 risk at the district level. Findings provided actionable intelligence for Punjab’s health authorities on the geographic concentration of transmission risk, supporting targeted and evidence-based lockdown decisions during the critical early phase of the pandemic.

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Mohey-ud-din, G. (2020). Identification of Potential Lockdown Areas during COVID-19 Transmission in Punjab, Pakistan. Full-text available (ResearchGate)

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About the Author

Dr. Ghulam Mohey-ud-din

Senior Economic Planner, Parsons Corporation · RCJY, Saudi Arabia
PhD Economics · 18+ years · 20+ peer-reviewed publications · $60M+ programmes advised

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Publication Details

Type

Journal Article

Journal

Full-text available (ResearchGate)

Year

2020

Pages

Array

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