With the world in a state of emergency due to the Coronavirus pandemic, almost the entire scientific community and all governmental/intergovernmental agencies are focused on defining the most effective disease control and forecasting. However, is disease control the only or most crucial element to consider? In this Research Topic, we intend to highlight crucially important topics about Coronavirus related to its environmental dependencies, biological diversity and stability, and socio-economic outcomes, considering also information, modeling and technological aspects of the pandemic.
The objective of the Research Topic is to bring together spatio-temporal biological, ecological, environmental and social aspects of Coronavirus to better understand its dynamics, shifts, systemic impacts on health and socio-economic effects. Studies via models that link Coronavirus to other viruses are welcome, in order to properly characterize the biology, ecology and environmental niche or universality of Coronavirus dynamics. We also seek prospective studies that investigate potential future spillovers of Coronavirus-like viruses by indicating risk hotspots in relation to socio-environmental determinants. Other issues focused on public health and medical aspects are welcome; however, these studies need to explicitly address the virus’ connection with the environment in order to gain insight into its ecology and evolution. Studies addressing data and modeling challenges as well as different model approaches (from machine learning to phenomenological and process-based models) have a lot of interest. Lastly, we highly encourage studies that quantitatively explore the coupled evolution of population perceptions and the associated infodemic (for instance, inferred from social media), behavior and systemic health outcomes.
We especially welcome submissions addressing the following sub-topics:
• Exploration of the coupled environmental (land and atmospheric features) and biological dynamics of Coronavirus (e.g. land transformation, biodiversity and virus spillover)
• Analysis of virus phylogenetic diversity and environmental niche changes during Coronavirus spread (including changes in infectivity)
• Evolution of Coronavirus in the animal kingdom across history and its relationships with other viruses
• Co-evolution of population sentiments (e.g. inferred from social media), social behavior and Coronavirus spread by looking into the information-epidemiology nexus
• Evolution of animal and human symptoms with Coronavirus infection
• Systemic response in term of intervention portfolios
• Ecology and evolution of Coronavirus-related systemic risk: from public health to economy and ecology. What are the cascading effects of the pandemic?
• Data challenges and space-time predictive models
Due to the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19 related research in this Research Topic.
With the world in a state of emergency due to the Coronavirus pandemic, almost the entire scientific community and all governmental/intergovernmental agencies are focused on defining the most effective disease control and forecasting. However, is disease control the only or most crucial element to consider? In this Research Topic, we intend to highlight crucially important topics about Coronavirus related to its environmental dependencies, biological diversity and stability, and socio-economic outcomes, considering also information, modeling and technological aspects of the pandemic.
The objective of the Research Topic is to bring together spatio-temporal biological, ecological, environmental and social aspects of Coronavirus to better understand its dynamics, shifts, systemic impacts on health and socio-economic effects. Studies via models that link Coronavirus to other viruses are welcome, in order to properly characterize the biology, ecology and environmental niche or universality of Coronavirus dynamics. We also seek prospective studies that investigate potential future spillovers of Coronavirus-like viruses by indicating risk hotspots in relation to socio-environmental determinants. Other issues focused on public health and medical aspects are welcome; however, these studies need to explicitly address the virus’ connection with the environment in order to gain insight into its ecology and evolution. Studies addressing data and modeling challenges as well as different model approaches (from machine learning to phenomenological and process-based models) have a lot of interest. Lastly, we highly encourage studies that quantitatively explore the coupled evolution of population perceptions and the associated infodemic (for instance, inferred from social media), behavior and systemic health outcomes.
We especially welcome submissions addressing the following sub-topics:
• Exploration of the coupled environmental (land and atmospheric features) and biological dynamics of Coronavirus (e.g. land transformation, biodiversity and virus spillover)
• Analysis of virus phylogenetic diversity and environmental niche changes during Coronavirus spread (including changes in infectivity)
• Evolution of Coronavirus in the animal kingdom across history and its relationships with other viruses
• Co-evolution of population sentiments (e.g. inferred from social media), social behavior and Coronavirus spread by looking into the information-epidemiology nexus
• Evolution of animal and human symptoms with Coronavirus infection
• Systemic response in term of intervention portfolios
• Ecology and evolution of Coronavirus-related systemic risk: from public health to economy and ecology. What are the cascading effects of the pandemic?
• Data challenges and space-time predictive models
Due to the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19 related research in this Research Topic.
