Multivariate Pharma Technology Transfer Analysis: Civilization Diseases and COVID-19 Perspective.

Area of Science:

• Medical Sciences
• Public Health
• Health Economics

Background:

• Civilization diseases pose a significant global health challenge due to evolving lifestyles.
• Technology transfer is crucial for the rapid dissemination of diagnostics and treatments for these diseases.
• The COVID-19 pandemic highlighted the urgent need for efficient technology transfer in healthcare.

Purpose of the Study:

• To evaluate the technology transfer process in the context of civilization diseases.
• To introduce a novel metric, the Synthetic Measure of Technology Transfer (SMTT), for analyzing this process.
• To compare technology transfer dynamics across various diseases, including COVID-19.

Main Methods:

• Development and application of the multivariate Synthetic Measure of Technology Transfer (SMTT) ratio.
• Utilizing sub-measures SMTT_value and SMTT_quantity for quantitative analysis.
• Analysis of data for 14 diseases over a decade (2012-2021) across nine forms of technology transfer.

Main Results:

• The SMTT provides a multidimensional tool for analyzing technology transfer in civilization diseases.
• COVID-19 exhibited comparable technology transfer patterns to chronic diseases like diabetes, cardiovascular diseases, neurodegenerative diseases, and breast cancer.
• Despite limited data (2 years), COVID-19's technology transfer profile aligns with established disease categories.

Conclusions:

• Technology transfer plays a vital role in managing civilization diseases and responding to pandemics.
• The SMTT metric offers a robust framework for assessing and optimizing technology transfer in healthcare.
• Findings underscore the potential for rapid advancement in treating and preventing civilization diseases through effective technology transfer strategies.