Data Science Challenges and Opportunities in One Health
A special issue of Pathogens (ISSN 2076-0817). This special issue belongs to the section "Epidemiology of Infectious Diseases".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 2367
Special Issue Editors
Interests: training in mathematics; biology; environmental science; geographic information science; plant pathology; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics; one health; disease transmission; antimicrobial resistance
Special Issue Information
Dear Colleagues,
One Health is an integrated, transdisciplinary approach based on the foundational concept that the health of humans, animals, plants, and the environment are all intercorrelated and impacted by the multiscale global ecosystem. Exemplified by the COVID-19 pandemic, a One Health approach is required to successfully achieve early warning for the prediction, prevention, and mitigation of threats to our public health and food security. However, because of the extraordinary intricacies and differing scales across various ecosystem components, a One Health approach inherently contains a variety of complex data science challenges. The heterogeneity of data, data collection methods, reporting methods, and databases available all provide significant hurdles for making available datasets ‘data science ready’. The nuanced interactions between and varying responses to threats by the environment, plants, humans, and animals—and the different scales of interactions and effects—present significant obstacles when developing data science approaches and thus require innovative integration techniques. At the same time, data science has been transformative across research and industry. It provides the ability to gain situational awareness and predictive insight into short- and long-term integrated health outcomes. In this Special Issue, we invite authors to submit research highlighting specific challenges and unique opportunities arising from the use of a One Health, multi-modal data science approach across a variety of applications.
Dr. Lauren Charles
Dr. Samantha Erwin
Dr. Eva Brayfindley
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. Pathogens is an international peer-reviewed open access monthly 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 2700 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
- one health
- data science
- multi-modal data
- data integration
- data analytics
