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Editorial Board Members' Collection Series: Real World—Big Data Analytics with Applications in Ecology, Environmental Health, and Public Health

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Global Health".

Deadline for manuscript submissions: 1 February 2025 | Viewed by 3309

Special Issue Editors

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Guest Editor
1. Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
2. IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
Interests: evidence based medicine; systematic reviews; meta-analysis; network meta-analysis; research methodology
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Special Issue Information

Dear Colleagues,

In the digital era, the real world is translated into a multitude of variables, and each of these variables can have a lot of cases. The first objective of public health is to distinguish risks and protective factors considering that today, even the psychosocial well-being of the person and human rights are important, and health is no longer just the absence of physical and mental illness. However, any raw variable of big data (i.e., any column of a full dataset) is not necessarily shown as one health variable (i.e., risks or protective factors for health, or indicators of well-being or ill-being). Big data analytics implicate and aggregate different indicators of the same health variable (to avoid collinearity or semantic redundancy), but also collect the needed variables to represent reality, which is the aim of current studies. 

If big data include a lot information that is relevant to the current public health, it is possible to establish the implications that these studies have for improved decision making by using common analytical techniques such as data mining, machine learning and deep learning. It is also possible to harness statistical power with gigantic sample sizes to test even the more intangible theoretical issues of psychosocial health (usually, with a small effect-size). While working with a person’s health and ill-being information, it is also necessary to consider scientific integrity issues such as people’s privacy, data sharing, bias, and uncertainty as other factors that need to be analyzed in studies. 

As big data are becoming a new reality in public health science, all high quality and relevant theories and applied studies that use statistical analyses with big data will be welcome to publish in this Collection. 

We are pleased to announce this Collection titled, “Editorial Board Members' Collection Series: Real World—Big Data Analytics”. This issue will be a collection of papers from researchers invited by the Editorial Board Members. The aim is to provide a venue for networking and communication between IJERPH and scholars in the field of big data analytics and health statistics. All papers will be published as fully open access after peer review.

Dr. Stefanos Bonovas
Prof. Dr. Jimmy T. Efird
Guest Editors

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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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.


  • real-world data
  • real-world evidence
  • big data
  • health
  • health care
  • healthcare
  • health statistics

Published Papers (1 paper)

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3 pages, 270 KiB  
Real World—Big Data Analytics in Healthcare
by Daniele Piovani and Stefanos Bonovas
Int. J. Environ. Res. Public Health 2022, 19(18), 11677; https://doi.org/10.3390/ijerph191811677 - 16 Sep 2022
Cited by 7 | Viewed by 2477
The term Big Data is used to describe extremely large datasets that are complex, multi-dimensional, unstructured, and heterogeneous and that are accumulating rapidly and may be analyzed with appropriate informatic and statistical methodologies to reveal patterns, trends, and associations [...] Full article
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