Special Issue "Correlation of Environmental Variables with Different Types of Stroke"
Deadline for manuscript submissions: 28 February 2022.
Interests: cardiovascular disease epidemiology; non-communicable disease epidemiology; cancer epidemiology; ischemic heart disease and stroke registries; population and cohort-based studies; metabolic diseases epidemiology; cardiovascular disease risk factors; lifestyle and environmental risk factors; primary and secondary prevention; cardiovascular diseases and meteorological factors; environmental pollution and health; alcohol and drug abuse; children's environment and health; psychosocial factors of the work environment; nutrition and health
Special Issues and Collections in MDPI journals
The mission of this Special Issue, “Correlation of Environmental Variables with Different Types of Stroke”, is to search for pathogenetic and molecular mechanisms of various environmental factors in the development of different types of stroke. The topic should highlight advances and recent discoveries in all fields of science related to the development of different types of strokes, as well as the links with other chronic diseases such as cancer, chronic respiratory diseases, infectious diseases, and autoimmune diseases, using multilevel approaches. Equally important are certain behavioral factors (alcohol, smoking, various psychotropic substances) associated with certain types of stroke. In revealing this topic, it is important to single out certain environmental factors that are related to various aspects of climate change, environmental pollution aspects, and favorable environmental aspects that inhibit or promote the development of different types of stroke. A certain epigenetic environment could also predispose one to more frequent development of different stroke types. It is also important to identify the external and internal environmental markers and their levels of different types of strokes; it is equally important to discover, develop, and apply a variety of advanced mathematical and biostatistical models that can predict the development of different stroke types in response to certain environmental factors at the population level, indicating the most vulnerable parts of the population.
Dr. Ričardas Radišauskas
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. Applied Sciences 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.
- physical and chemical environmental pollution
- meteorological factors
- heliogeophysical factors
- climate change
- stroke types
- subarachnoid stroke
- hemorrhagic stroke
- ischemic stroke
- pathogenetic and molecular mechanisms
- external and internal environmental markers
- adaptive modeling of environmental data
- behavioral factors
- population and cohort studies