The field of respiratory virus research has undergone significant transformation in the wake of the recent COVID-19 pandemic and the ongoing challenges posed by climate change. These factors have contributed to a shift in the epidemiology of respiratory viruses, raising questions about the plasticity and long-term consequences of these changes. Prior to the pandemic, aspects of viral pathogenesis were often overlooked, but the global health crisis has brought these issues to the forefront. The pandemic also catalyzed the rapid development of research methods and models, highlighting the need for a deeper understanding of emerging seasonality patterns, pathogenesis, and the host response to respiratory viruses. Despite these advancements, there remain significant gaps in our knowledge, particularly regarding the long-term sequelae of infections and the integration of artificial intelligence in predicting virus epidemiology and pathogenesis.
This research topic aims to highlight interdisciplinary research approaches that address the evolving landscape of respiratory virus epidemiology and pathogenesis. The primary objectives include exploring emerging seasonality patterns, understanding the pathogenesis and long-term effects of respiratory viruses, and advancing diagnostic and research methodologies. Additionally, the research seeks to characterize host responses and develop predictive models using artificial intelligence. By focusing on these areas, the research aims to provide a comprehensive understanding of respiratory viral infections in the post-pandemic era and to inform future public health strategies.
To gather further insights in the post-pandemic landscape of respiratory viruses, we welcome articles addressing, but not limited to, the following themes:
- Emerging seasonality patterns of respiratory viruses
- Pathogenesis and long-term sequelae of respiratory infections
- Diagnostic methodologies for virus identification
- Characterization of host immune responses
- Development and application of research models
- Integration of artificial intelligence in epidemiology and pathogenesis prediction
- Implications of climate change on respiratory virus epidemiology
- Interdisciplinary approaches to respiratory virus research
The field of respiratory virus research has undergone significant transformation in the wake of the recent COVID-19 pandemic and the ongoing challenges posed by climate change. These factors have contributed to a shift in the epidemiology of respiratory viruses, raising questions about the plasticity and long-term consequences of these changes. Prior to the pandemic, aspects of viral pathogenesis were often overlooked, but the global health crisis has brought these issues to the forefront. The pandemic also catalyzed the rapid development of research methods and models, highlighting the need for a deeper understanding of emerging seasonality patterns, pathogenesis, and the host response to respiratory viruses. Despite these advancements, there remain significant gaps in our knowledge, particularly regarding the long-term sequelae of infections and the integration of artificial intelligence in predicting virus epidemiology and pathogenesis.
This research topic aims to highlight interdisciplinary research approaches that address the evolving landscape of respiratory virus epidemiology and pathogenesis. The primary objectives include exploring emerging seasonality patterns, understanding the pathogenesis and long-term effects of respiratory viruses, and advancing diagnostic and research methodologies. Additionally, the research seeks to characterize host responses and develop predictive models using artificial intelligence. By focusing on these areas, the research aims to provide a comprehensive understanding of respiratory viral infections in the post-pandemic era and to inform future public health strategies.
To gather further insights in the post-pandemic landscape of respiratory viruses, we welcome articles addressing, but not limited to, the following themes:
- Emerging seasonality patterns of respiratory viruses
- Pathogenesis and long-term sequelae of respiratory infections
- Diagnostic methodologies for virus identification
- Characterization of host immune responses
- Development and application of research models
- Integration of artificial intelligence in epidemiology and pathogenesis prediction
- Implications of climate change on respiratory virus epidemiology
- Interdisciplinary approaches to respiratory virus research