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Special Issue Title:

Big Data and Status Asthmaticus

Deadline for manuscript submissions: 31 August 2021

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Special Issue Editor

  • Guest Editor

    Dr. Herng-Ching LinE-MailWebsite

    Professor of School of Healthcare Administration, Taipei Medical University, Taiwan

    Interests: Health policy, Epidemiology, Big data analytics: Asthma

Special Issue Information

Background: Status asthmaticus has been a serious global health problem with major public health consequences for patients of all ages. Since the past decade, progress such as the identification of genetic and environmental risk factors correlated to asthma has been made; yet, despite researchers’ focus on preventing and controlling symptoms of the disease, there has been a sharp global rise in the prevalence of childhood status asthmaticus, especially in developing countries. Not only affecting children and teenagers, status asthmaticus has been a serious issue for many adults and the elderly population who still experience the symptoms of asthma attacks on a daily basis. Although status asthmaticus currently cannot be cured, appropriate prevention strategy and treatment management can be undertaken to control the disease. Along with the rapidly-growing environmental, population, clinical, and public health datasets, modern big data analytic techniques have allowed clinicians and health professionals to construct innovative clinical decision models. Thus, it is crucial for clinicians and policy makers to find ways of optimizing status asthmaticus treatment and enhance the delivery of effective care through big data analytics, ultimately enabling people to enjoy a healthy quality of life.

 

Importance: A better understanding of status asthmaticus may eventually lead to opportunities for primary prevention and treatment of status asthmaticus through the use of big data analytics.

 

Goal: Our goal includes developing an increasing understanding of status asthmaticus and its underlying mechanisms, improving status asthmaticus diagnoses and treatments, developing status asthmaticus prevention strategies by providing an authoritative open forum on asthma and related conditions through big data analytics.

Keywords

Status asthma, Big data, Big data analytics, Epidemiology

Manuscript Submission Information

Manuscripts should be submitted online by submit system. 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. Original articles, case reports or comprehensive reviews 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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Signa Viate is an international peer-reviewed open access semi-annual journal published by MRE Press. Please visit the Instructions for Authors page before submitting a manuscript.The Article Processing Charge (APC) for publication in this open access journal is $1200. We normally offer a discount greater than 30% to all contributors invited by the Editor-in-Chief, Guest Editor (GE) and Editorial board member. Submitted papers should be well formatted and use good English.

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