Abstract
Between the years 2020 and 2022, the COVID-19 pandemic is anticipated to emerge as the most severe global epidemic. The objective of this study is to examine the utilization of biostatistics in the domains of medication development, analysis of epidemic trends, and survival model analysis within the context of the COVID-19 pandemic. Through the utilization of a literature review method, this research delved into the examination of prospective therapeutic interventions employed in the realm of drug development studies. Specifically, the paper explored the efficacy and potential of camostat mesylate and remdesivir, alongside the exploration of immunotherapeutic strategies. Furthermore, the study examines the use of mathematical modeling in forecasting the trajectory of epidemic dissemination, and the significance of survival model analysis in comprehending patient longevity. The study revealed that medication development and immunotherapy play a crucial role in effectively combating novel coronavirus pneumonia. Furthermore, the utilization of mathematical modeling can provide valuable insights into forecasting the propagation of the epidemic. Additionally, survival model analysis can offer guidance in the allocation of medical resources and aid in decision-making processes. The findings of this research will contribute to a deeper comprehension and more effective mitigation of worldwide public health issues, such as the ongoing COVID-19 pandemic.
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