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Special Issue "Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (15 October 2020) | Viewed by 49472
Special Issue Editor
Interests: health geography; infectious diseases; spatial analysis; environmental modeling; remote sensing
Special Issue Information
Understanding and predicting the occurrence of diseases is a major challenge for health services in order to improve control and limit consequences, whether in humans, animals, or environmental health. It is now well documented that, in addition to the intrinsic determinants of individuals or those related to the causal agents of disease, interactions with the environment and society are major factors in the vulnerability of individuals, both in their exposure to disease and in the consequences of poor health conditions. Thus, geographical approaches have increasingly been used to provide a broader perspective on the environmental, economic, or social conditions that determine the health status of populations.
The use of remote sensing for health studies has increased almost exponentially since the early 1970s. The main applications are the use of low spatial resolution indices to describe temporal epidemiological series. Nevertheless, many studies have also shown the great potential of higher resolution images (spatial and radiometric) to measure locally the conditions favorable to the development of diseases. Today, remote sensing has a major role to play in the development of environmental monitoring to assist in the early detection of epidemics, which is a major challenge for health management.
This Special Issue aims to gather original articles and reviews showing practical applications of remote sensing in different areas of human, animal, or environmental health. In particular, it aims to show innovative uses of satellite images at different scales, whether locally with very high-resolution images, over larger areas at medium or low resolution, or as part of temporal monitoring. Critical approaches to these tools are also encouraged to better guide opportunities for integrating remote sensing into future health projects.
Dr. Vincent Herbreteau
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. 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 2500 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.
- remote sensing
- spatial epidemiology
- health geography
- environmental modeling
- disease surveillance
- early-warning systems