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The Rise of AI: How Artificial Intelligence is Revolutionizing Infectious Disease Control

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Abstract

Artificial Intelligence (AI) has proven to be an effective tool in predicting, detecting, and mitigating the spread of infectious diseases, especially during the COVID-19 pandemic. The technology is increasingly playing a role in preventing future health crises by predicting outbreaks, identifying high-risk areas, and aiding in vaccine development. AI can track and trace infected individuals and identify potential hotspots, help reduce the spread of infectious diseases, and monitor patient symptoms, enabling healthcare professionals to provide effective treatment.

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References

  1. Brownstein, J. S., B. Rader, C. M. Astley, and H. Tian. Advances in Artificial Intelligence for infectious-disease surveillance. N. Engl. J. Med. 388(17):1597–1607, 2023.

    Article  CAS  PubMed  Google Scholar 

  2. McCaffrey, P. Artificial Intelligence for vaccine design. Methods Mol Biol. 2412:3–13, 2022.

    Article  CAS  PubMed  Google Scholar 

  3. Wong, Z. S. Y., J. Zhou, and Q. Zhang. Artificial Intelligence for infectious disease big data analytics. Infect. Dis. Health. 24(1):44–48, 2019.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Medical Microbiology and Infectious Diseases, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands

    Emmanuel Edwar Siddig

  2. Unit of Applied Medical Sciences, Faculty of Medical Laboratory Sciences, University of Khartoum, PO Box 102, Khartoum, Sudan

    Emmanuel Edwar Siddig

  3. Mycetoma Research Center, University of Khartoum, Khartoum, Sudan

    Hala Fathi Eltigani

  4. Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan

    Ayman Ahmed

  5. Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland

    Ayman Ahmed

  6. Faculty of Science, University of Basel, Petersplatz 1, Basel, Switzerland

    Ayman Ahmed

Authors
  1. Emmanuel Edwar Siddig
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  2. Hala Fathi Eltigani
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  3. Ayman Ahmed
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Corresponding author

Correspondence to Emmanuel Edwar Siddig.

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The authors declared that they have no conflict of interest.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Siddig, E.E., Eltigani, H.F. & Ahmed, A. The Rise of AI: How Artificial Intelligence is Revolutionizing Infectious Disease Control. Ann Biomed Eng 51, 2636–2637 (2023). https://doi.org/10.1007/s10439-023-03280-4

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  • DOI: https://doi.org/10.1007/s10439-023-03280-4

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