Mobile Health, Machine Learning, and Diagnostics for Infectious Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Diagnostic Microbiology and Infectious Disease".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 567
Special Issue Editors
Interests: mobile health; diagnostics; disease surveillance; immunoassays; data science
Interests: immunoassays; point-of-care diagnostics; low-resource setting diagnostics; global health; neglected tropical diseases
Interests: infectious disease epidemiology and surveillance; diagnostic design, development, and implementation; mobile health; mobile phone applications for disease surveillance and contact tracing; infectious diseases of poverty; neglected tropical diseases
Special Issue Information
Dear Colleagues,
Infectious disease diagnosis is an interdisciplinary endeavor that unites clinical expertise with technology, reflecting the diverse landscapes of case management and the range of healthcare settings. This is a unique and opportune moment for us to harness the widespread adoption of mobile phones, the growing utilization of information technologies, and the rapid advances in data science and artificial intelligence. These advancements enable for the development of innovative diagnostic platforms and approaches that can potentially shift the point of care away from high-resource facilities, enhance diagnostic performance, streamline workflows, integrate seamlessly with electronic records, and enable predictive epidemiology. We find ourselves in an exciting period filled with numerous opportunities for improvements which will lead to better patient satisfaction, more precise disease surveillance, and enhanced technical aspects of diagnostic assay performance and form factor.
We are pleased to announce this Special Issue titled "Mobile Health, Machine Learning, and Diagnostics for Infectious Diseases". On behalf of the Diagnostics editorial office, we welcome you to contribute by submitting original research and review articles that explore new approaches in mobile health, data science, devices, or assays to advance infectious disease diagnostics.
We hope that you may join us in contributing and become a part of driving progress in the field of infectious disease diagnostics.
Dr. Thomas Foster Scherr
Dr. David W. Wright
Dr. Carson Paige Moore
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- infectious diseases
- mobile health
- machine learning
- epidemiology
- disease surveillance
