BMC Infectious Diseases invites submissions for a Collection on Tuberculosis and co-infections: diagnostics, management, and treatment.

Tuberculosis (TB) remains a leading cause of morbidity and mortality worldwide, particularly in regions with high prevalence rates and co-infections. The interplay between TB and various co-infections (including bacterial, viral, parasitic and fungal), complicates diagnosis and treatment strategies. Advances in molecular diagnostics and imaging techniques have improved our understanding of how these co-morbidities affect TB pathogenesis and treatment outcomes. However, the challenge of managing drug-resistant TB adds an additional layer of complexity, necessitating a comprehensive approach that integrates the latest research findings with clinical practice.

Research into TB of all stages and its co-infections is crucial for addressing the rising incidence of drug resistance and improving patient outcomes. Recent studies have identified critical biomarkers for early detection and prognosis, highlighting the role of rapid diagnostic tools in the clinical setting. Additionally, understanding the mechanisms of co-infections has led to tailored treatment regimens that maximize efficacy while minimizing adverse effects. Nonetheless, gaps remain in our knowledge of optimal management strategies for these complex cases, emphasizing the need for ongoing research in this field.

Future research endeavors should focus on the development of more effective diagnostic techniques and treatment protocols that consider the multifaceted interactions between TB and its co-infections. Innovations in personalized medicine may lead to targeted therapies that address specific pathogen interactions, ultimately enhancing patient recovery rates. Moreover, collaborative efforts between public health entities and research organizations could pave the way for comprehensive TB surveillance systems, fostering the identification of emerging trends in co-infection patterns.

This Collection welcomes original research articles on topics including but not limited to:

• Diagnostic innovations for Tuberculosis and co-infections
• Management strategies for drug-resistant Tuberculosis
• Interaction between Tuberculosis and HIV
• Tuberculosis and diabetes comorbidity
• Tuberculosis in the context of viral hepatitis and COVID-19

This Collection supports and amplifies research related to SDG 3 (Good Health and Well-being).

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

BMC Infectious Diseases invites submissions for a Collection on Surveillance and prevention in infectious diseases: strategies for global health security.

The global landscape of infectious diseases is marked by its complexity and rapid evolution, necessitating robust surveillance and prevention strategies. In recent years, advancements in technology and public health methodologies have enabled more sophisticated approaches to monitoring outbreaks, tracking transmission patterns, and enhancing response capabilities. The One Health approach, which integrates human, animal, and environmental health perspectives, has emerged as a vital framework for comprehensively addressing infectious disease threats. This Collection seeks to explore these dynamics through empirical studies, theoretical frameworks, and case analyses.

Research in infectious disease surveillance and prevention holds critical implications for global health security. Successful interventions have demonstrated that timely data collection and analysis can significantly mitigate the impact of epidemics. Recent developments, such as digital health surveillance systems and enhanced data-sharing platforms, have opened new avenues for real-time outbreak detection and response.

Continued research in this area promises to refine existing strategies and develop novel methodologies for disease surveillance and prevention. Future insights may lead to enhanced integration of digital tools and real-world data in surveillance systems, fostering more responsive public health infrastructures. Additionally, advancements in machine learning and artificial intelligence could revolutionize outbreak prediction, tailoring interventions to diverse epidemiological contexts.

This Collection welcomes original research articles on topics including but not limited to:

• Infectious disease surveillance methodologies
• Disease prevention strategies in diverse populations
• Outbreak detection through the identification of unusual increase in disease incidence
• Digital health and outbreak detection tools
• Machine learning and artificial intelligence applications in outbreak prediction

This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.