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Infectious diseases have been continuously and increasingly threatening human health and welfare due to a variety of factors such as globalisation, environmental, demographic changes, and emerging pathogens. In order to establish an interdisciplinary approach for coordinating R&amp;D via funding, it is imperative to discover research trends in the field. In this paper, we apply machine learning methodologies and network analyses to understand how the European Union (EU) and the United States (US) have invested their funding in infectious diseases research utilising an interdisciplinary approach. The purpose of this paper is to use public R&amp;D project data as data and to grasp the research trends of epidemic diseases in the US and EU through scientometric analysis.

National Scientific Funding for Interdisciplinary Research: A Comparison Study of Infectious Diseases in the US and EU