Data Statistics for Epidemiological Research—2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 200
Special Issue Editor
2. LASI—Associate Laboratory of Intelligent Systems, Guimarães, Portugal
Interests: artificial intelligence; biostatistics; cognitive psychology; cognitive science and applications; intelligent systems; human–machine interaction; statistics applied to health sciences; statistics applied to quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Epidemiological research is at the forefront of public health efforts, seeking to comprehend the spread and causes of diseases, and their changes, among populations. Key to this endeavor is the meticulous application of statistical methods to scrutinize intricate datasets, revealing trends, pinpointing risk factors and guiding evidence-based interventions. Acknowledging the pivotal significance of data statistics in propelling epidemiological understanding, we are delighted to unveil a Special Issue devoted to the application of data statistics in epidemiological research. This Special Issue aims to offer a platform for researchers, statisticians, epidemiologists and public health practitioners to present their innovative approaches, methodologies and discoveries in the field of data statistics in epidemiological research. While not limited to this field, contributions should utilize statistical methodologies in epidemiological research, encompassing machine learning and artificial intelligence techniques to aid in uncovering complex relationships within epidemiological data. Effective data visualization and interpretation facilitate the communication of epidemiological findings. Overcoming statistical challenges, integrating big data analytics and addressing ethical considerations are vital for ensuring the integrity and impact of epidemiological research.
Dr. Estela Vilhena
Guest Editor
Manuscript Submission Information
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Keywords
- big data analytics
- data analysis
- data visualization
- epidemiology
- health outcomes
- machine learning
- public health
- risk factors
- spatial analysis
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Related Special Issue
- Data Statistics for Epidemiological Research in Applied Sciences (3 articles)
