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IJERPH
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State of the Art in Computational Epidemiology
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State of the Art in Computational Epidemiology

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

Deadline for manuscript submissions: closed (1 April 2023) | Viewed by 3931

Special Issue Editors

Prof. Dr. Dejana Stanisavljević

E-Mail Website
Collection Editor
Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
Interests: clinical and public health research design and analysis; survival data analysis; multivariate modeling; integrative studies; systematic reviews and meta-analysis
Prof. Dr. Nataša Milić

E-Mail Website
Collection Editor
Institute for Medical Statistics and Informatics, Medical Faculty, University of Belgrade, 11000 Belgrade, Serbia
Interests: design and data analysis of basic biomedical; preclinical; clinical and translational research; data visualization; systematic reviews and meta-analysis; meta-research; decision analysis; design and implementation of simulation studies; health technology assessment; real world evidence; health information systems; electronic health records; education; e-learning
Dr. Aleksandra Ignjatovic

E-Mail Website
Collection Editor
Department of Medical Statistics and Informatics, Medical Faculty, University of Niš, 18000 Niš, Serbia
Interests: public health statistics; mortality and morbidity data; cancer statistics; temporal trends; multivariate modeling; clinical studies

Special Issue Information

Dear Colleagues,

We are organizing a Topical Collection on modern biostatistics and data analysis in the International Journal of Environmental Research and Public Health. For detailed information on the journal, I refer you to https://www.mdpi.com/journal/ijerph.

The beginning of 21st century was marked by a rapid advance in biomedical research. We are witnessing the explosive need for statistical reasoning and the development of analytical strategies that are applicative to studies of human health. These include a broad spectrum of research areas, such as: basic biomedical research, design and analysis of clinical trials, survival analysis, detection and treatment of new or rare diseases, community-based research, decision analysis, systematic reviews and meta-analysis, health technology assessment, and most recently meta-research. In addition, the emergence of biomedical big data, bioinformatics and precision medicine has created new opportunities, but also new challenges for biostatisticians in developing cutting-edge methods and analytical tools. This Topical Collection welcomes submissions that focus on the application and interpretation of modern statistical methodology that has grown from old foundations to new state-of-the-art computational methods. Any analytical issues arising from biomedical research are eligible, but the submission of papers that involve statistical analytical strategies that directly address real-world biomedical research questions are strongly desired. Simulation papers will be considered only if they include a novel methodological component. The objective of this Topical Collection is to advance reasoning in biomedical research and application of biostatistics to help understand human health and disease, with the ultimate goal of advancing our ability to draw valid inferences from biomedical data.

This Topical Collection is open to the subject area of modern biostatistics. The keywords listed below provide an outline of some of the possible areas of interest.

Prof. Dr. Dejana Stanisavljević
Prof. Dr. Nataša Milić
Dr. Aleksandra Ignjatovic
Collection 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.

Keywords

  • biostatistics
  • bioinformatics
  • data science
  • biomedical informatics
  • biomedical research
  • biomedical data
  • analysis

Published Papers (2 papers)

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10 pages, 646 KiB  
Article
Cross-Cultural Adaptation and Validation of the Serbian Version of the Brief Assessment of Cognition in Schizophrenia Scale
by Sanja Totic Poznanovic, Milos Markovic, Milena Stasevic, Ivana Stasevic Karlicic and Milena Tomanic
Int. J. Environ. Res. Public Health 2023, 20(4), 3699; https://doi.org/10.3390/ijerph20043699 - 19 Feb 2023
Cited by 3 | Viewed by 1410
Abstract
The Brief Assessment of Cognition in Schizophrenia (BACS) scale was developed for the assessment of cognitive function in patients with schizophrenia. The objective of this study was to cross-culturally adapt and validate the BACS in to the Serbian language. The study was conducted [...] Read more.
The Brief Assessment of Cognition in Schizophrenia (BACS) scale was developed for the assessment of cognitive function in patients with schizophrenia. The objective of this study was to cross-culturally adapt and validate the BACS in to the Serbian language. The study was conducted at the Laza Lazarevic Clinic for Mental Disorders and the Clinic for Psychiatry of the University Clinical Center of Serbia from March 2021 to January 2022. The study enrolled 61 inpatients diagnosed with schizophrenia and 61 healthy controls matched for age and sex. Compared with the healthy control group, the schizophrenia patient group had worse cognitive function in all dimensions measured using BACS (p < 0.001 for all measures). The mean standardized composite BACS score was z = −2.46, and symbol coding (z = −2.54) was the most deficient function. Principal component analysis suggests a two-factor structure, where the first factor consisted of loading the measures of verbal and working memory, attention, speed of information processing, and executive function, while the second factor regarded the loading of motor speed. Cronbach’s alpha coefficient demonstrated an excellent level of internal consistency (0.798). These outcomes suggest that the Serbian BACS neurocognitive battery’s psychometric properties are satisfactory, with good overall discriminant validity and high internal consistency. The Serbian BACS appears to be a quick and reliable neuropsychological instrument for evaluating global cognition in schizophrenia patients in Serbia. Full article
(This article belongs to the Special Issue State of the Art in Computational Epidemiology)
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14 pages, 628 KiB  
Article
From Sarcopenia to Depressive Symptoms in Elderly: A Path Analysis
by Cedomir Ustevic, Nina Rajovic, Dejana Stanisavljevic, Danijela Tiosavljevic, Andrija Pavlovic, Radica Tasic, Tatjana Rajovic, Jovana Grupkovic, Filip Pilipovic, Vedrana Pejin, Petar Milcanovic, Sanja Mazic and Natasa Milic
Int. J. Environ. Res. Public Health 2023, 20(2), 972; https://doi.org/10.3390/ijerph20020972 - 5 Jan 2023
Cited by 4 | Viewed by 1920
Abstract
Background: Sarcopenia is an age-related progressive, generalized skeletal muscle disorder involving the accelerated loss of muscle function and muscle mass. The aim of this study was to assess the complex relationship between sarcopenia, malnutrition, cognitive impairment, physical activity, and depression in the elderly, [...] Read more.
Background: Sarcopenia is an age-related progressive, generalized skeletal muscle disorder involving the accelerated loss of muscle function and muscle mass. The aim of this study was to assess the complex relationship between sarcopenia, malnutrition, cognitive impairment, physical activity, and depression in the elderly, with the potential role of quality of life as a mediator in these associations. Methods: A cross-sectional study was conducted on a sample (n = 298) of elderly patients admitted to Special Hospital for Rehabilitation “Termal”, Vrdnik, Serbia. Sarcopenia, the risk for malnutrition, cognitive impairment, physical activity, quality of life, and depressive symptoms were measured by standardized instruments. Additional data included sociodemographic characteristics. Simultaneous assessment of the direct and indirect relationships of all determinants was performed by path analysis. Results: A total of 40% (n = 120) of the elderly were diagnosed with sarcopenia, and 42.6% had depression symptoms. The risk of malnutrition was present in 23.5%, cognitive impairment in 5.4%, and a low level of physical activity was reported in 26.2% of elderly participants. The mean reported quality of life measured by Sarcopenia and Quality of Life Questionnaire was 60 (on the scale ranging from 0 to 100; where a higher score reflects a higher quality of life). The best-fitted model (χ2/DF = 1.885, NFI = 0.987, CFI = 0.993, GFI = 0.997, RMSEA = 0.055) highlighted the mediating effect of quality of life between sarcopenia, malnutrition, cognitive impairment, lower level of physical activities and depression. According to the model, quality of life was a direct negative predictor of depressive symptoms in the elderly, while malnutrition positively affected depression. Conclusions: The presented path model may assist rehabilitation centers in developing strategies to screen for sarcopenia and risk of malnutrition, and promote physical activity in elderly, aiming to prevent their negative effects on mental health. For the elderly currently affected by sarcopenia, we consider regenerative medicine and stem cell therapy, which, in view of their etiology, could be a potential therapeutic strategy for sarcopenia. Full article
(This article belongs to the Special Issue State of the Art in Computational Epidemiology)
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