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The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases

Medicine and Health

The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases

S. Hansun, V. Charles, et al.

This groundbreaking study by Seng Hansun, Vincent Charles, and Tatiana Gherman reveals the significant positive impact of mass vaccination programs on COVID-19 case reductions. Utilizing LSTM networks, the research forecasts future cases in ten nations with high vaccination rates, showcasing its accuracy and importance in understanding the pandemic.

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Playback language: English
Abstract
This study investigates the impact of mass vaccination programs on confirmed COVID-19 cases. Using LSTM networks, the researchers predicted future COVID-19 cases in the ten countries with the highest vaccination rates. Two scenarios were used: 'All Time' (including all data) and 'Before Vaccination' (excluding post-vaccination data). The model accurately predicted case numbers and trends, with average MAPE scores of 5.977% and 10.388% for 'All Time' and 'Before Vaccination', respectively. Results suggest a positive impact of mass vaccination on decreasing COVID-19 spread.
Publisher
Heliyon
Published On
Mar 08, 2023
Authors
Seng Hansun, Vincent Charles, Tatiana Gherman
Tags
mass vaccination
COVID-19
LSTM networks
case prediction
public health
pandemic response

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