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Disease informatics information


Disease Informatics (also infectious disease informatics) studies the knowledge production, sharing, modeling, and management of infectious diseases.[1] It became a more studied field as a by-product of the rapid increases in the amount of biomedical and clinical data widely available, and to meet the demands for useful data analyses of such data.[1]

Considering infectious diseases contribute to millions of deaths every year, the ability to identify and understand disease diffusion is crucial for society to apply control and prevention measures.[2] The knowledge gained by researchers in the field of disease informatics can be used to aid policymakers' decisions on issues such as spreading public awareness, updating the training of health professionals, and buying vaccines.[2]

Aside from aiding in policymakers' decisions, the goals of disease informatics also include increased identification of biomarkers for transmissibility, improved vaccine design, and a deeper understanding of host-pathogen interactions, and the optimization of antimicrobial development.[1]

  1. ^ a b c Sintchenko, Vitali, ed. (2010). "Infectious Disease Informatics". SpringerLink. doi:10.1007/978-1-4419-1327-2. ISBN 978-1-4419-1326-5.
  2. ^ a b Santangelo, Omar Enzo; Gentile, Vito; Pizzo, Stefano; Giordano, Domiziana; Cedrone, Fabrizio (2023-02-01). "Machine Learning and Prediction of Infectious Diseases: A Systematic Review". Machine Learning and Knowledge Extraction. 5 (1): 175–198. doi:10.3390/make5010013. ISSN 2504-4990.

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