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Table 1 Demographic, clinical, and epidemiologic characteristics compared between local COVID-19 cases with an incubation period of ≤14 and > 14 days, in the mainland of China

From: Epidemiological features of COVID-19 patients with prolonged incubation period and its implications for controlling the epidemics in China

Characteristics

Number of cases (%)

P-value#

≤14 days

>14 days

Sex

  

0.895

 Male

1167 (49.37%)

134 (50.00%)

 

 Female

1197 (50.63%)

134 (50.00%)

 

Age, year

  

0.002

 0–45

1125 (47.59%)

119 (44.40%)

 

 46–60

772 (32.66%)

72 (26.87%)

 

 > 60

467 (19.75%)

77 (28.73%)

 

Occupationb

  

0.840

 Manual workera

154 (8.11%)

21 (8.97%)

 

 Farmer

380 (20.02%)

47 (20.09%)

 

 Office worker

350 (18.44%)

48 (20.51%)

 

 Service worker

322 (16.97%)

34 (14.53%)

 

 Unemployed

692 (36.46%)

84 (35.90%)

 

Geographical location

  

0.002

 Northern

789 (33.38%)

70 (26.12%)

 

 Central

968 (40.95%)

104 (38.81%)

 

 Southern

607 (25.68%)

94 (35.07%)

 

Type of residence

  

0.107

 Urban area

1534 (64.89%)

160 (59.70%)

 

 Rural area

830 (35.11%)

108 (40.30%)

 

Case type

  

0.009

 Primary cases

1306 (55.25%)

125 (46.64%)

 

 Secondary cases

1058 (44.75%)

143 (53.36%)

 

Clinical severityb

  

0.015

 Non-severe

1819 (89.43%)

229 (94.63%)

 

 Severe

215 (10.57%)

13 (5.37%)

 

Outcomeb

  

1.000

 Discharge

2013 (98.72%)

240 (98.77%)

 

 Death

26 (1.28%)

3 (1.23%)

 

Duration from onset to dischargeb, median days (IQR)

21.00 (16.00, 27.00)

19.00 (15.00, 23.00)

< 0.001

Epidemic phases

  

0.001

 Before Level I response

240 (10.15%)

10 (3.73%)

 

 After Level I response

2124 (89.85%)

258 (96.27%)

 

Underlying diseaseb

  

0.837

 None

1449 (72.81%)

175 (73.53%)

 

 Cardia-cerebrovascular disease

276 (13.87%)

38 (15.97%)

 

 Diabetes

91 (4.57%)

11 (4.62%)

 

 Other disease

284 (14.27%)

31 (13.03%)

 

Infection routeb

  

< 0.001

 Contact in public places

585 (32.02%)

96 (55.17%)

 

 Household contact

1060 (58.02%)

65 (37.36%)

 

 Contact in workplaces

182 (9.96%)

13 (7.47%)

 
  1. #For category variables, the Chi-square test is the preferred method, however, the Fisher’s exact test was used when more than 20% of cells of “R × C table” contingency table have expected frequencies < 5. For continuous variables, the Wilcoxon sum-rank test was used
  2. aManual worker contains construction worker, factory worker, cleaner, etc.
  3. bRepresents that the variable contains missing values