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Mathematical modelling for decision making of lockdown during COVID-19
Ahona Ghosh1, Sandip Roy1, Haraprasad Mondal2
1Department of Computational Science, Brainware University, Kolkata, India.
Applied Intelligence (Dordrecht, Netherlands)
|November 12, 2021
Summary
This study introduces a novel global predictive model for COVID-19 (Coronavirus Disease 2019) transmission trends. The model analyzes disease spread to aid planning for pandemic duration and future public health strategies.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- The COVID-19 pandemic caused widespread societal disruption globally.
- Accurate predictions of pandemic trajectory are crucial for effective public health response.
- Previous transmission models lacked a comprehensive global analysis.
Purpose of the Study:
- To analyze the spread of COVID-19 using diverse data sources.
- To develop a predictive mathematical model for global pandemic projections.
- To provide data-driven insights for governmental and healthcare planning.
Main Methods:
- Data collection from multiple platforms.
- Analysis of COVID-19 spreading patterns.
- Development of a predictive mathematical model for 15 diverse countries.
Main Results:
- The study presents a novel global analysis of COVID-19 spread.
- A predictive mathematical model was developed for future pandemic projections.
- The model was applied to fifteen countries across different economic levels.
Conclusions:
- The developed model offers valuable insights into pandemic dynamics.
- Predictions can inform healthcare organizations and government agencies.
- This global approach aids in preparing for future public health crises.
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