Advances in Swine Disease Surveillance, Macroepidemiology, and Applied Animal Population Health Management.

The increasing availability of large-scale diagnostic, production, and health data has transformed the understanding of disease dynamics in swine populations. Advances in laboratory diagnostics, surveillance systems, and data analytics now enable researchers to evaluate pathogen emergence, transmission patterns, population-level risk factors, and long-term disease trends at regional, national, and international scales. Swine pathogens such as Porcine Reproductive and Respiratory Syndrome Virus (PRRSV), Influenza A virus, African Swine Fever Virus (ASFV), Porcine Epidemic Diarrhea Virus (PEDV), Senecavirus A, Rotaviruses, Porcine Circovirus (PCV2 and PCV3), Mycoplasma hyopneumoniae, Escherichia coli, Streptococcus suis, Glaesserella parasuis, Actinobacillus pleuropneumoniae, Lawsonia intracellularis, and Brachyspira species continue to affect animal health, welfare, productivity, and the sustainability of swine production systems worldwide. Integrating epidemiological methods with diagnostic information, production data, and field observations provides new opportunities to identify risk factors, evaluate intervention strategies, enhance disease surveillance, and improve prevention and control programs. This Research Topic aims to highlight advances in applied epidemiology, disease surveillance, population health management, and data-driven decision-making relevant to modern swine production systems.This Research Topic seeks to advance knowledge on the epidemiology, surveillance, and control of infectious diseases affecting swine populations. Despite major improvements in diagnostics and biosecurity, important questions remain regarding pathogen ecology, disease transmission, emerging health threats, and the effectiveness of intervention strategies under commercial production conditions. Furthermore, the growing availability of large-scale diagnostic datasets has created new opportunities for macroepidemiological investigations capable of identifying temporal and spatial disease patterns across populations. The goal of this collection is to promote interdisciplinary research that combines field epidemiology, laboratory diagnostics, disease surveillance, statistical modeling, and data analytics to improve swine health outcomes. We encourage studies that generate actionable knowledge for veterinarians, producers, researchers, and industry stakeholders. By bringing together contributions from diverse geographic regions and production systems, this Research Topic aims to strengthen evidence-based decision-making and support sustainable disease prevention, monitoring, and control strategies within the global swine industry.We welcome original research articles, systematic reviews, brief research reports, methods papers, and perspective articles addressingepidemiological, surveillance, diagnostic, and population health challenges in swine production systems. Topics of interest include, but are not limited to:-Macroepidemiological analyses of disease trends and pathogen detection patterns-Surveillance systems and disease monitoring programs-Epidemiology of viral pathogens, including PRRSV, Influenza A virus, PEDV, Senecavirus A, and Rotaviruses-Epidemiology of bacterial diseases, including Streptococcus suis, Glaesserella parasuis, Escherichia coli, and related pathogens-Diagnostic data analytics and interpretation-Risk factor analysis and disease transmission modeling-Biosecurity evaluation and intervention assessment-Precision livestock health and population health management-One Health and disease ecology approaches relevant to swine production-Studies integrating field observations, laboratory diagnostics, production data, and advanced analytical methods are particularly encouraged. Topic editors: Daniel Carnevale de Almeida Moraes, Guilherme Arruda Cezar Source: https://www.frontiersin.org/research-topics/87087/advances-in-swine-disease-surveillance-macroepidemiology-and-applied-animal-population-health-management