Sensors for People–Environment Interactions in Health Research
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (15 July 2020) | Viewed by 3469
Special Issue Editors
Interests: population health science; planetary health/One Health; environmental epidemiology; health geography; spatial analysis; children’s health
Special Issue Information
Dear Colleagues,
Personal sensor technologies, technologies worn on or in the body, provide opportunities to examine interactions between people and the environment in free-living conditions. Several technologies make use of smartphones or dedicated body-worn sensors to monitor health, physiology, and many other aspects of the human body, as well as exposures to environmental conditions. Increasingly small sensors, novel hardware developments, and open-source software provide opportunities to collect and integrate several types of data collected from personal sensors, at a relatively low cost, with unprecedented spatial, temporal, and contextual detail. Leveraging increasingly smaller and more powerful computing hardware, ubiquitous wireless networks, and IoT devices, and integrating existing sensor technologies affords opportunities to expand our understanding of how human health and behaviours are shaped by the environment. New data sources from these personal sensors with varying degrees of precision, accuracy, and quality require advances in data science and data fusion. Big data created by these devices necessitates the development of innovative, integrated theoretical and statistical models to support the characterization of people–environment interactions and to derive useful evidence for policy and decision making. As well, given the spatial, temporal and contextual detail of the data personal sensors can collect, researchers must pay particular attention to ethical issues arising now and in the future with a view to understanding and limiting ethical challenges.
For this issue, we invite manuscripts, either original or review articles, on the theme of people–environment interactions. Submissions may choose to focus but are not limited to on one or more of the following areas:
- Sensor development and integration;
- Sensor validation and comparison;
- Sensor data integration, sensor data scaling, fusion and modelling;
- Sensor applications, particularly in health;
- Ethical issues associated with the collection and analysis of personal sensor data.
This Special Issue aims to advance our understanding of how sensor technologies are employed in the study of people–environment interactions with the aim to support human health.
Dr. Daniel Rainham
Dr. Daniel Fuller
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. Sensors 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.
