Epidemiological and clinical characteristics of 136 cases of COVID-19 in main district of Chongqing

J Formos Med Assoc. 2020 Jul;119(7):1180-1184. doi: 10.1016/j.jfma.2020.04.019. Epub 2020 Apr 29.

Abstract

Background: We did a comprehensive exploration of the epidemiological and clinical characteristics of 136 patients with confirmed COVID-19 in main district of Chongqing which was adjacent to the west of Hubei province.

Methods: This study was conducted on 136 patients with COVID-19 in main district of Chongqing from Jan 25 to Feb 20, 2020. Data of patients included demographic, epidemiological, clinical features, chest radiographs of imported cases, local cases, second-generation cases and third-generation cases. Student's t-test was adopted for quantitative variables while Pearson Chi-squared test or Fisher's exact test for categorical variables.

Results: The median age was 47 years and common symptoms of illness were cough (50.7%), fever (47.1%) and fatigue (14.0%). The time from contact symptomatic case to illness was 7.7 days, and 88 patients (64.7%) were cluster cases, radiological evidence found bilateral lung involvement was common (57.4%).Compared with the imported cases, the local cases were significantly older, the proportion of men is lower. There was higher proportion of cluster cases in local cases. Unlike imported cases, which fever was the dominant symptom, the local cases have more cough patients, with a significant higher proportion of asymptomatic patients. The third-generation cases have a significant higher proportion of asymptomatic patients.

Conclusion: We concluded the epidemiological and clinical characteristics of the cases andsuggested to take more comprehensive measures for screening patients, especially for elderly person, avoid family gatherings, and implement more closely surveillance of suspect patients and their close contacts.

Keywords: COVID-19; Chongqing; Epidemiological and clinical characteristics; Prevention; Spread.

MeSH terms

  • Age Factors
  • Asymptomatic Infections / epidemiology*
  • Betacoronavirus / isolation & purification
  • COVID-19
  • China / epidemiology
  • Cluster Analysis
  • Contact Tracing / methods
  • Contact Tracing / statistics & numerical data
  • Coronavirus Infections* / diagnosis
  • Coronavirus Infections* / physiopathology
  • Coronavirus Infections* / prevention & control
  • Coronavirus Infections* / therapy
  • Cough / diagnosis
  • Cough / etiology
  • Disease Transmission, Infectious / prevention & control*
  • Fatigue / diagnosis
  • Fatigue / etiology
  • Female
  • Fever / diagnosis
  • Fever / etiology
  • Humans
  • Male
  • Middle Aged
  • Pandemics* / prevention & control
  • Pneumonia, Viral* / diagnosis
  • Pneumonia, Viral* / diagnostic imaging
  • Pneumonia, Viral* / epidemiology
  • Pneumonia, Viral* / etiology
  • Pneumonia, Viral* / physiopathology
  • Pneumonia, Viral* / prevention & control
  • Pneumonia, Viral* / therapy
  • Radiography, Thoracic / methods
  • Radiography, Thoracic / statistics & numerical data
  • SARS-CoV-2
  • Sex Factors
  • Symptom Assessment* / methods
  • Symptom Assessment* / statistics & numerical data