Special Issue "Human Health, Environmental Informatics and Risk: Managing Hazards in the Information Era"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".
Deadline for manuscript submissions: 31 January 2019
Prof. Dr. Jason K. Levy
Homeland Security, National Homeland Security Project, L. Douglas Wilder School of Government and Public Affairs, Virginia Commonwealth University, 923 W. Franklin St., Box 842028, Richmond, VA 23284, USA
Website | E-Mail
Interests: emergency management; risk assessment; natural hazards; geomatics engineering; chemical sensors
Environmental informatics is a growing interdisciplinary field that develops methods and software tools for understanding environmental data.
This Special Issue seeks to enhance the integration of environmental information and modeling and statistical tools to help develop management solutions can reduce environmental risk and promote human health. We are particularly interested in inter-disciplinary collaboration that promotes the theoretical and/or applied aspects of environmental information sciences, regardless of disciplinary boundaries. Innovations in public health data analytics and bioinformatics are critically important to take a full advantage of big data and to promote evidence-based public health since public health issues are becoming more urgent and complex. There are large amounts of electronic data dealing with environmental hazards, pollution, public health and other fields. The topics addressed include:
- Decision and risk analysis for human health
- Mathematical methods for understanding hazards and public health
- Biostatistics and its applications
- Environmental data, systems modeling and optimization
- Control of waste treatment and pollution reduction processes
- Environmental systems science, hazards and threat analyses
- Environmental, ecological and resources management and planning
- Monitoring and analytical techniques of environmental quality
- Artificial intelligence and expert systems for understanding environmental hazards
- Other areas of and information technology
In summary, this Special Issue examines mathematical and statistical techniques.to further the field of environmental informatics in the era of big and open data. As an interdisciplinary field of science, we encourage environmental and bioinformatics papers that combine computer science, statistics, mathematics, and engineering to analyse and interpret biological data.Prof. Dr. Jason K. Levy
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 papers will be 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. International Journal of Environmental Research and Public Health 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 1600 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.
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- Public Health
- Environmental Risk
- Big and Open Data
- Methodological Approaches to Big Data
- Data Intensive Computing Theorems and Technologies
- Modelling, Simulation and Performance Evaluation