Spatial Demography and Health – The 1st Internaitonal Symposium on Lifecourse Epidemiology and Spatial Science (ISLES)
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 December 2019) | Viewed by 26416
Special Issue Editors
Interests: health geography; spatial epidemiology; spatial life course epidemiology; urban health; GIS; remote sensing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: urban remote sensing; spatial analysis; spectral analysis; land use land cover mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Non-communicable chronic diseases (NCDs) are medical conditions that last for long periods of time and progress slowly. Representing the largest global burden of disease and the largest cost burden, NCDs have caused a progressive amount of healthcare spending and reduced the life qualify of patients. NCDs are normally caused by human interaction with environmental risk factors. Thus, describing multidimensional environmental factors and population distribution patterns in a high resolution are important for understanding complex human interaction with the environment. Remote sensing (RS) technology has been continuously providing spatially and temporally consistent earth observation data over the past four decades; associations of remote sensing derived environmental variables with population distribution, NCDs, and NCD risk factors have been examined in many cross-sectional studies and some longitudinal studies.
Both the volume and availability of RS satellite data are rapidly growing, especially those with high spatial resolution. It remains a challenge how remote sensing can be utilized for studies of high-resolution population distribution and human movement patterns in complex urban settings and causal associations between environmental factors and NCDs.
We invite you to submit your recent research on remote sensing applications to population modeling and human health, particularly within, but not limited to, the following topics:
- High-resolution population modeling
- Monitoring of human movement patterns
- Climate change and human health
- Environmental determinants of lifestyle and NCD risk factors
- Environmental determinants of NCD outcomes
- Environmental pollutants and health hazards
- Urbanization and health consequences
- Disease modelling incorporating remotely sensed data
- GIS and big data computation for health research
Dr. Peng Jia
Dr. Changshan Wu
Guest Editors
Manuscript Submission Information
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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. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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