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Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics ; : 1-22, 2022.
Article in English | Scopus | ID: covidwho-2149120

ABSTRACT

During the last months of 2019, numerous cases of respiratory illness such as pneumonia and acute respiratory distress syndrome were described in Wuhan, the capital city of Hubei province in China. At the same time, several research groups identified and reported the etiological agent, that included within the Coronaviridae family and the order Nidovirales, named SARS-CoV-2. Subsequently, the pathological and clinical status caused by the pathogen is commonly known as Coronavirus disease 2019 (COVID-19). In a short period, the outbreak of emerging spread across the world. Therefore the World Health Organization declared a public health emergency of international concern on January 30, 2020, and as a pandemic on March 11, 2020. Many different public health and epidemiological studies have been published since the COVID-19 outbreak, but fatality rates (those that relate the number of cases to mortality) are difficult to assess with certainty. Mean and median case-fatality rates worldwide are near to 3% and 2%, respectively. The median infection fatality calculated from serologic prevalence varies from 0.00% to 1.63% but is mostly estimated between 0.27% and 0.9%. These indexes are influenced by geographic location, socioeconomic status, sex, age, and health conditions, among others. © 2022 Elsevier Inc. All rights reserved.

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