Mohan Jyoti Dutta

Hannah Bradby

Rukhsana Ahmed

Zisis Kozlakidis

Denise L. Doolan

Zhongheng Zhang

Longxiang Su

Ata Murat Kaynar

Shen-Ying Zhang

Yasuko Tsunetsugu Yokota

Tatsuo Shioda

Michael Kogut

Slobodan Paessler

Alex Rodriguez-Palacios

Alexis M. Kalergis

Abdallah Samy

Volume I.B An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.

Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response (volume I.B)

Fabrizio Ricci

Thomas Rawson

Marco Iosa

Catherine Ropert

Jonathan Kantor

Constantinos Tsioutis

Susan Christina Welburn

Burc Barin

Jiufeng Sun

Eugenie Ruth Lumbers

Almost nine months since the first recorded case, the novel betacoronovirus; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has now passed 18 million confirmed cases. The multi-disciplinary work of researchers worldwide has provided a far deeper understanding of COVID-19 pathogenesis, clinical treatment and outcomes, lethality, disease-spread dynamics, period of infectivity, containment interventions, as well as providing a wealth of relevant epidemiological data. With 27 vaccines currently undergoing human trials, and countries worldwide continuing to battle case numbers, or prepare for resurgences, the need for efficient, high-quality pipelines for peer-reviewed research remains as crucial as ever.

Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response, Volume II (volume I.A)

Nan Liu

Rahul Kashyap

Qinghe Meng

Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II

Longxiang Su

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