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Special Issue "Remote Sensing Applications to Human Health"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2017).
Interests: remote sensing; climate change; infectious disease; human health; ecological modeling; epidemiology; pathogen evolution
Interests: population biology; large-scale ecological and evolutionary patterns; effects of climate variation; terrestrial, marine and freshwater systems; vector-borne infectious diseases
Interests: spatio-temporal analysis; time series, process modelling and integration of remote sensing and GIS for applications in phenology, agriculture, land use/land cover, epidemiology and public health
Satellite remote sensing has been continuously providing spatially and temporally consistent Earth observation data, applied for health research, over the past four decades. Association studies have since been explored between remote sensing derived environmental data and pathogen activity, host abundance, and disease outbreaks and transmission. Incorporating longitudinal series of remotely sensed data into models has played an important role in parameterizing the spatio-temporal process of disease transmission. Remote sensing has also allowed us to extrapolate from what we know about a few smaller locations to a much larger region.
New satellites will offer even higher-resolution imagery with more robust algorithms to process the data. We expect to dramatically expand our ability to view and understand Earth’s land, water, and air. Our social and economic systems are exerting significant impacts on our natural environment, resulting in global environmental problems, such as climate change, ozone layer depletion and air pollution. The changing environment, in return, is having significant consequences on human society, such as rising temperatures and sea level, and increased frequency in natural disasters and human disease. Remote sensing provides various ways of modelling this nature-human interaction system, has been used to answer questions as how this changing environment has impacted our health, and how we humans respond and adapt to this changing environment.
Remote sensing has benefited macro-scale studies and often up to the planetary level, while human health is related to individuals in micro-scale studies and often down to the molecular level. How remote sensing can be linked, applied and contributed to human health research is a challenge. It requires novel minds and inter-disciplinary approach to revolutionize the unique area and tackle such linkages and issues.
We invite you to submit your recent research on remote sensing applications to human health, particularly addressing the following topics:
- monitoring terrestrial habitats of disease vectors
- impact of climate change on infectious disease outbreaks and transmission
- global warming and non-infectious diseases
- pollutants and health hazards
- urbanization and health consequences
- disease modelling incorporating remotely sensed data
- response and adaptation to health impact
- GIS and big data computation for health research
- health care access and health policy stipulation
Prof. Bing Xu
Prof. Nils Chr. Stenseth
Dr. Raul Zurita-Milla
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. Remote Sensing 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 2000 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.