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Automation Techniques in Infectious Diseases

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Automated Diagnostic Techniques in Medical Microbiology

Abstract

Every year, 14 million people die from infectious diseases worldwide, accounting for 25% of all fatalities. Infectious diseases have severely impacted humankind all over the world and are the leading cause of mortality. Diagnoses of infectious diseases that are inaccurate have an impact on both the patient’s and the community’s health. This review discusses some application-oriented, dependable, secure, and quickly deployable automation technologies for the diagnosis of infectious diseases. Therefore, we highlight the advances and automation technologies that have been regarded as effective means of diagnosis, surveillance, and disease management.

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Author information

Author notes

  1. Shrikant Nema and Monika Kumari contributed equally with all other contributors.

Authors and Affiliations

  1. ICMR-National Institute of Malaria Research, New Delhi, India

    Shrikant Nema

  2. International Institute of Information Technology, Hyderabad, Telangana, India

    Monika Kumari

  3. ICMR-National Institute of Malaria Research, Field Unit, Bengaluru, India

    Susanta Kumar Ghosh

Authors
  1. Shrikant Nema
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  2. Monika Kumari
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  3. Susanta Kumar Ghosh
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Editor information

Editors and Affiliations

  1. Department of Biotechnology, Faculty of Allied Health Sciences, Mahayogi Gorakhnath University, Gorakhpur, Uttar Pradesh, India

    Sunil Kumar

  2. Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India

    Awanish Kumar

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Nema, S., Kumari, M., Ghosh, S.K. (2024). Automation Techniques in Infectious Diseases. In: Kumar, S., Kumar, A. (eds) Automated Diagnostic Techniques in Medical Microbiology. Springer, Singapore. https://doi.org/10.1007/978-981-99-9943-9_10

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