Since January 2020, Elsevier has provided free English and Mandarin information on the novel coronavirus (2019-nCoV) through its COVID-19 resource centre on Elsevier Connect. The centre grants permission for free access to all research on 2019-nCoV in PubMed Central and other public repositories for unrestricted reuse and analysis. A study published in The Lancet analyzed 99 confirmed cases of 2019-nCoV pneumonia in Wuhan, China, from January 1 to 20, 2020. The study found that 49% of patients had exposure to the Huanan seafood market. The average age was 55.5 years, with 67 men and 32 women. All patients tested positive for 2019-nCoV via real-time RT-PCR. Common symptoms included fever, cough, and shortness of breath. 51% had chronic diseases. 75% of patients showed bilateral pneumonia on imaging, and 17% developed acute respiratory distress syndrome (ARDS), with 11% worsening and dying from multiple organ failure. The study found that 2019-nCoV infection was clustered, more likely to affect older males with comorbidities, and could lead to severe respiratory diseases. The characteristics of deceased patients aligned with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. The study also noted that 2019-nCoV can cause co-infections with bacteria and fungi, with high drug resistance in some pathogens. Laboratory findings showed reduced lymphocyte counts in most patients, suggesting 2019-nCoV may affect T lymphocytes. Early identification and treatment of critical cases are crucial. The study highlights the importance of immune support and antiviral treatments for severe cases. The study has limitations, including a small sample size and lack of data from other regions. However, it provides valuable insights into the epidemiology and clinical features of 2019-nCoV in Wuhan. The study concludes that 2019-nCoV has a clustering onset, is more likely to affect older males with comorbidities, and can result in severe respiratory diseases such as ARDS. Further research is needed to explore the applicability of the MuLBSTA score in predicting mortality in 2019-nCoV infections.Since January 2020, Elsevier has provided free English and Mandarin information on the novel coronavirus (2019-nCoV) through its COVID-19 resource centre on Elsevier Connect. The centre grants permission for free access to all research on 2019-nCoV in PubMed Central and other public repositories for unrestricted reuse and analysis. A study published in The Lancet analyzed 99 confirmed cases of 2019-nCoV pneumonia in Wuhan, China, from January 1 to 20, 2020. The study found that 49% of patients had exposure to the Huanan seafood market. The average age was 55.5 years, with 67 men and 32 women. All patients tested positive for 2019-nCoV via real-time RT-PCR. Common symptoms included fever, cough, and shortness of breath. 51% had chronic diseases. 75% of patients showed bilateral pneumonia on imaging, and 17% developed acute respiratory distress syndrome (ARDS), with 11% worsening and dying from multiple organ failure. The study found that 2019-nCoV infection was clustered, more likely to affect older males with comorbidities, and could lead to severe respiratory diseases. The characteristics of deceased patients aligned with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. The study also noted that 2019-nCoV can cause co-infections with bacteria and fungi, with high drug resistance in some pathogens. Laboratory findings showed reduced lymphocyte counts in most patients, suggesting 2019-nCoV may affect T lymphocytes. Early identification and treatment of critical cases are crucial. The study highlights the importance of immune support and antiviral treatments for severe cases. The study has limitations, including a small sample size and lack of data from other regions. However, it provides valuable insights into the epidemiology and clinical features of 2019-nCoV in Wuhan. The study concludes that 2019-nCoV has a clustering onset, is more likely to affect older males with comorbidities, and can result in severe respiratory diseases such as ARDS. Further research is needed to explore the applicability of the MuLBSTA score in predicting mortality in 2019-nCoV infections.