Modifying System (1) to Account for Vaccine Distribution and Government Measures in an Epidemic Outbreak

In this study, researchers aim to develop a mathematical model to determine the optimal distribution of vaccine doses for COVID-19 vaccination campaigns. The model takes into account various factors such as the number of people in different age groups, the effectiveness of the vaccine, and the time between shots. The researchers also consider the fact that the coefficients of the model are not constants but functions of time, which means they change over time due to the sudden changes in the transmission rate during an epidemic outbreak.
The researchers provide several examples with different numbers of distributed doses and percentages of people willing to be vaccinated to demonstrate the computational experience gained from these instances. They note that analyzing up to 1,000 thousand doses helps to understand the reasons behind their analysis.
The model is designed to help decision-makers choose the population to be vaccinated based on their age group, while ensuring that the vaccine is distributed efficiently and effectively. The researchers use everyday language and metaphors to explain complex concepts, making the article accessible to an average adult reader.
In summary, the study develops a mathematical model to optimize COVID-19 vaccination campaigns by taking into account various factors that affect the transmission rate. The researchers provide examples and insights to help decision-makers make informed decisions about vaccine distribution.