Emerging Microorganisms and Infectious Diseases: One Health Approach for Health Shared Vision.

Area of Science:

• Infectious Diseases
• Bioinformatics
• Public Health

Background:

• Emerging infectious diseases (EIDs) pose a significant global health threat.
• Factors include microbial adaptation and host/environmental characteristics.
• Examples include SARS, MERS, COVID-19, influenza, and West Nile fever.

Purpose of the Study:

• To explore novel strategies for identifying and managing emerging infectious diseases.
• To highlight the role of the One Health approach and omics integration.
• To discuss the application of bioinformatics and machine learning in infectious disease control.

Main Methods:

• Utilizing the One Health approach for pathogen identification.
• Integrating omics data (genomics, proteomics, etc.) for microbial analysis.
• Employing bioinformatics and machine learning for data analysis and prediction.

Main Results:

• Omics integration and bioinformatics enable rapid identification of high-priority microorganisms.
• Machine learning aids in early diagnosis, treatment prediction, and antibiotic selection.
• Data integration tools facilitate clinical management of EIDs.

Conclusions:

• Advanced bioinformatics and omics technologies are crucial for detecting and preventing epidemics.
• The One Health approach combined with computational tools enhances surveillance and response.
• Innovative data integration strategies improve the clinical management of emerging infectious diseases.