Editorial: Coronavirus disease (COVID-19): pathophysiology, epidemiology, clinical management and public health response

Doolan, Denise, Kozlakidis, Zisis, Zhang, Zhongheng, Paessler, Slobodan, Su, Longxiang, Yokota, Yasuko Tsunetsugu, Shioda, Tatsuo, Rodriguez-Palacios, Alexander, Kaynar, Ata Murat, Ahmed, Rukhsana, Samy, Abdallah, Bradby, Hannah, Kalergis, Alexis M., Dutta, Mohan Jyoti, Kogut, Michael, and Zhang, Shen-Ying (2021) Editorial: Coronavirus disease (COVID-19): pathophysiology, epidemiology, clinical management and public health response. Frontiers in Public Health, 9. 807159.

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Abstract

During a pandemic, there are multiple concurrent clinical and scientific priorities, including the need to understand the pathophysiology of the disease, the different modes of transmission, how patient care can be optimized, as well as the need to develop mathematical models that can now cast and forecast the progression of infections within given populations and/or geographical regions. When the current SARS-CoV2 pandemic was declared a Public Health Emergency of International Concern by the World Health Organization, a formal declaration of its gravity, it became evident that there was an acute need to understand all of the above aspects. In doing so, by 11th February 2020, a special topic, entitled “Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response,” was initiated with a dedicated team of handling editors to facilitate the timely peer-review and publication of relevant manuscripts (1). Frontiers, as the publisher of this special topic, took the bold step of waiving any article processing charges so that financial constraints would not be a barrier to communicating crucial information about the pandemic to a broad audience. Furthermore, this was the most extensive special topic to date in the Frontiers portfolio, in terms of the numbers of participating Frontiers journals, disciplines, and sections. This reflected the acute need for the scientific community to understand the many aspects of the pandemic. This special Research Topic captured the entire first wave in the northern hemisphere, from February to May 2020, and the intensity of the associated editorial work is evident by the reported numbers. Within 4 months, 194 abstracts were received; in total 851 manuscripts were submitted, of which 453 were rejected while 398 were published. From the scientific community perspective, by June 2020 the special topic achieved over 2 million views, by December 2020 over 4 million views, and by August 2021 over 8 million views. As an example of the breadth of subjects covered, manuscripts included the attempt by Larsen et al. to model the onset of symptoms of COVID-19; the observed gender differences on COVID-19 patients’ severity and mortality by Jin et al., the correlation between poverty levels and rates of COVID-19 incidence and death in the United States by Finch and Finch, as well as the careful review of the cytokine storm in COVID-19 (Tang et al.)

Item ID: 73114
Item Type: Article (Editorial)
ISSN: 2296-2565
Keywords: coronavirus—COVID-19, first wave, pathophysiology, epidemiology, clinical management, public health response
Copyright Information: Copyright © 2021 Doolan, Kozlakidis, Zhang, Paessler, Su, Yokota, Shioda, Rodriguez-Palacios, Kaynar, Ahmed, Samy, Bradby, Kalergis, Dutta, Kogut and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Date Deposited: 16 Jun 2022 03:58
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3207 Medical microbiology > 320705 Medical virology @ 100%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 100%
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