Data&Code.zip

Affected by numerous uncertainties, climate change is a critical issue linked to carbon emissions that warm the planet. During the COVID-19 global pandemic, public health measures significantly influenced carbon emissions. This study introduces a novel self-attention multi-neuron time series (SAMNTS) model to evaluate the previously unexplored impact of COVID-19 vaccination on carbon emissions. Utilizing vaccination and carbon emission data, this analysis reveals that frequent daily vaccinations temporarily increase carbon emissions by accelerating economic recovery. Results indicate that extensive vaccination reduces public concern about future outbreaks, potentially decreasing long-term energy consumption and emissions. Data analysis shows that rising booster vaccinations underscores the ongoing need for epidemic management, which could indirectly lower emissions by delaying economic recovery. Higher vaccination rates correlate with reduced travel, which diminishes transportation emissions. These findings offer empirical evidence on how public health measures affect the environment, aiding governmental decisions that balance public health efficacy with environmental impacts during health emergencies.