Publications by authors named "Xiuwei Cheng"
Background: Descriptions of single clinical symptoms of coronavirus disease 2019 (COVID-19) have been widely reported. However, evidence of symptoms associations was still limited. We sought to explore the potential symptom clustering patterns and high-frequency symptom combinations of COVID-19 to enhance the understanding of people of this disease.
View Article and Find Full Text PDFSARS-CoV-2 Seroprevalence and Profiles Among Convalescents in Sichuan Province, China.
Front Public Health
November 2021
To explore and understand the SARS-CoV-2 seroprevalence of convalescents, the association between antibody levels and demographic factors, and the seroepidemiology of convalescents of COVID-19 till March 2021. We recruited 517 voluntary COVID-19 convalescents in Sichuan Province and collected 1,707 serum samples till March 2021. Then we reported the seroprevalence and analyzed the associated factors.
View Article and Find Full Text PDFEpidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China.
BMC Public Health
October 2020
Background: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the prevention and control of local clusters.
Methods: The epidemiological characteristics of 67 local clusters of COVID-19 cases in Sichuan Province reported as of March 17, 2020 were described and analyzed. Information about all COVID-19 clusters and involved cases was acquired from the China Information System for Disease Control and Prevention and analyzed with the epidemiological investigation results taken into account.
Article Synopsis
- After the 2009 H1N1 pandemic, China set up a surveillance system to monitor severe acute respiratory infections (SARI) across 10 provinces from 2011 to 2013.
- Out of 5,644 SARI cases analyzed, only 6% tested positive for influenza, with 62% of those being influenza A and 38% influenza B; older patients and those with chronic conditions were more frequently among the positive cases.
- The study found that the influenza strains identified in SARI cases closely matched those found through influenza-like illness (ILI) surveillance, with both systems showing peaks in activity at the same times.