The COVID‐19 epidemic

By T. Velavan, C. G. Meyer. Tropical medicine & international health, 2020

2,498 citations recorded by the source corpus.

The current outbreak of the novel coronavirus Covid-19 (coronavirus disease 2019; previously 2019-nCoV), epi-centered in Hubei Province of the People's Republic of China, has spread to many other countries. On January 30, 2020, the WHO Emergency Committee declared a global health emergency based on growing case notification rates at Chinese and international locations. The case detection rate is changing hourly and daily and can be tracked in almost real time on website provided by Johns Hopkins University [1] and other websites. As of early February 2020, China bears the large burden of morbidity and mortality, whereas the incidence in other Asian countries, in Europe and North America remains low so far.

Subfields: Infectious Diseases, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/0b27f1fe1b7c72b07906738f539767c9831d36ce

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Citations in the corpus

SARS-CoV-2 infection: The role of cytokines in COVID-19 disease (2020, neutral): “84 %, and the mean age of non-survivors was 75 years [13,14].”
Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study (2020, background): “The disease is highly infectious, and, on average, each patient can spread the infection from 2 to 4 other individuals [5].”
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020, neutral): “The world faced an unprecedented global health crisis due to the outbreak of COVID-19 (Velavan & Meyer, 2020; Wu & McGoogan, 2020).”
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review (2020, neutral): “SARS-CoV-2 was detected in China in late 2019 in a general seafood marketplace and eventually infected millions of people (Velavan & Meyer, 2020).”
Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases (2020, background): “inguishing between a more significant number of pulmonary diseases, possibly including that of SARS. Also, despite the fact that the appropriate treatment is not determined solely from an X-Ray image [26], an initial screening of the cases would be useful, not in the type of treatment, but in the ti”
DeepPurpose: a deep learning library for drug–target interaction prediction (2020, background): “Accurate identification of molecular drug targets is fundamental for drug discovery and development (Rutkowska et al., 2016; Zitnik et al., 2019) and is especially important for finding effective and safe treatments for new pathogens, including SARS-CoV-2 (Velavan and Meyer, 2020).”
EFL Classes Must Go Online! Teaching Activities and Challenges during COVID-19 Pandemic in Indonesia (2020, background): “In late January 2020, a global health emergency state was announced by the WHO Emergency Committee as COVID-19 confirmed cases have been increasing internationally (McAleer, 2020; Velavan & Meyer, 2020).”
Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy (2020, background): “del. 1 Introduction In late December 2019, a novel strand of Coronavirus (SARS-CoV-2) causing a severe, potentially fatal respiratory syndrome (COVID-19) was identied in Wuhan, Hubei Province, China [1, 2]. Starting from December 18, 2019, an exponentially growing number of patients in mainland Chin”
COVID-19: what has been learned and to be learned about the novel coronavirus disease (2020, background): “The virus is highly homologous to the coronavirus (CoV) that caused an outbreak of severe acute respiratory syndrome (SARS) in 2003; thus, it was named SARS-CoV-2 by the World Health Organization (WHO) on February 11, 2020, and the associated disease was named CoV Disease-19 (COVID-19) [1].”