Authors: Md. Motaleb Hossen Manik, Md. Ahsan Habib, Md. Zabirul Islam, Tanim Ahmed, Fabliha Haque

Published on: February 25, 2024

Impact Score: 7.4

Arxiv code: Arxiv:2402.18594

Summary

• What is new: Identification and exploration of factors contributing to the success of lockdowns during the COVID-19 pandemic, and their correlations.
• Why this is important: The unaddressed need to understand why some lockdowns during the COVID-19 pandemic were successful and others failed.
• What the research proposes: Analysis of factors such as population density, infection rates, and recovery rates to reveal correlations and propose future pandemic control strategies.
• Results: Strong correlations found among various factors, offering insights for better management of similar viruses in the future.

Technical Details

Technological frameworks used: Statistical analysis and correlation frameworks

Models used: Predictive modeling techniques

Data used: Global data on COVID-19 cases, including infection, recovery, and death rates, along with demographic information

Potential Impact

Public health management platforms, lockdown policy-making bodies, pandemic response consulting firms

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