Spatial Analysis and Mathematics in Health Research, During Times of Global Socio-Economic Instability
Submission Deadline: Mar. 30, 2015
Lead Guest Editor
Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete,
Heraklion, Crete, Greece
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=251
). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login
. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Pages: 35-41 Published Online: Apr. 11, 2015
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Pages: 30-34 Published Online: Apr. 11, 2015
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Pages: 24-29 Published Online: Apr. 11, 2015
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Pages: 18-23 Published Online: Apr. 11, 2015
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Pages: 10-17 Published Online: Apr. 10, 2015
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Innovative methodologies and inter-sector collaboration are the key points of all discussion forums for health research, well-being and healthy ageing, globally. Such methodologies are fluent in the fields of mathematics and spatial analysis. They are already recognized as an integral ingredient in health research in order to develop effective policies for Public health and health care practice. Spatial analysis allows us to study all types of phenomena as closer as to their real environment based on their three dimensions (x;y coordinates and time). Its theoretical framework is based on the multi-criteria thinking of at least four factors: person, place, time, phenomenon/incidence (disease or other outcomes).
This special issue focuses on the use of mathematics and spatio-temporal analysis in research in epidemiology, Public health, Primary health care and health care practice. Geographical Information Systems (GIS) or other mathematical models and algorithms are included in this theme, if managing the spatial and temporal dynamics of diseases or health-related outcomes. It aims to present a range of applications, while special focus would be given on epidemiological studies on positive health outcomes (well-being, “good” health, healthy ageing, prevention of chronic diseases), public health research for policy development and community-based interventions, innovative clinical research with an impact on personalized care.