The Role of Advanced Statistical Techniques in Infectious Disease Research

The application of advanced statistical methods in the realm of infectious diseases has never been more pertinent than during the recent Covid-19 pandemic. Traditional statistical tools such as t-tests and Chi-square tests have formed the backbone of many research studies in the biomedical field. However, the complexities of infectious disease dynamics necessitate the employment of more sophisticated statistical techniques, which are pivotal for deciphering the entangled relationships within data, identifying trends, making predictions, and assessing the impact of interventions. This Research Topic aims to explore the innovative applications of advanced statistical methodologies that enhance our comprehension of infectious diseases, ultimately leading to more effective public health interventions.

We welcome both research and review submissions covering a broad range of topics related to the application of advanced statistical methods in infectious diseases. Potential areas of interest are exemplified as:
● Bioinformatics in infectious diseases research
● Machine learning and artificial intelligence techniques
● Network analysis and modeling in infectious diseases epidemiology
● Spatial and spatio-temporal analysis
● Longitudinal data analysis and prediction modeling
● Multivariate statistical techniques for analyzing complex datasets
● Data integration and meta-analysis approaches
● Advanced statistical methods for assessing vaccine efficacy or drug resistance
● Modeling emerging infectious diseases and outbreak investigations


Please note that Systems Microbiology does not consider descriptive studies that are solely based on amplicon (e.g., 16S rRNA) profiles, unless they are accompanied by a clear hypothesis and experimentation and provide insight into the microbiological system or process being studied.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Registered Report
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Advanced Statistical Techniques, Infectious Disease, Bioinformatic, Datasets, Modeling, Data integration, Machine learning, Artificial intelligence

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.