| Literature DB >> 34584473 |
Haiqian Chen1, Leiyu Shi2, Yuyao Zhang1, Xiaohan Wang1, Gang Sun1.
Abstract
OBJECTIVE: This study aimed to analyze the distribution characteristics and influencing factors for the interval between entering mainland China and the diagnosis of imported COVID-19 cases in Guangdong province, in order to provide valuable experience for global pandemic in prevention and control.Entities:
Keywords: COVID-19; Guangdong province; containment measures; imported cases
Year: 2021 PMID: 34584473 PMCID: PMC8464375 DOI: 10.2147/RMHP.S317910
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Figure 1The prevalence of new imported COVID-19 cases in Guangdong province.
Figure 2Frequency distribution of the interval between entering mainland China and diagnosis of imported COVID-19 cases in Guangdong province.
Demographic Characteristics of the Imported COVID-19 Cases from Abroad in Guangdong Province, Confirmed Between March 1 and June 20, 2020
| Characteristics | Cases (n = 200) |
|---|---|
| 126/200 (63%) | |
| 31.57 (2–70) | |
| 162/200 (81%) | |
| 159/200 (79.5%) | |
| Chinese overseas students | 76/200 (38%) |
| Businessmen or workers | 70/200 (35%) |
| Living abroad | 23/200 (11.5%) |
| Overseas travel | 12/200 (6%) |
| Visiting friends or relatives | 19/200 (9.5%) |
| United Kingdom | 57/200 (28.5%) |
| United States | 35/200 (17.5% |
| The Philippines | 17/200 (8.5%) |
| France | 14/200 (7%) |
| Othersa | 77/200 (38.5%) |
| Guangzhou Baiyun International Airport | 156/200 (78%) |
| Shenzhen Bay Port | 28/200 (14%) |
| Othersb | 16/200 (8%) |
| Guangzhou | 134/200 (67%) |
| Shenzhen | 39/200 (19.5%) |
| Othersc | 27/200 (13.5%) |
Notes: aOther sources of infection included the United Arab Emirates, Dubai, Ethiopia, Ireland, Angola, Australia, Pakistan, Brazil, Burkina Faso, Russia, The Democratic Republic of the Congo, Netherlands, Canada, Cambodia, Cote d’Ivoire, Madagascar, Malaysia, Bangladesh, the Niger, Nigeria, Switzerland, Thailand, Turkey, Spain, Chile, Singapore. bOther ports included Beijing Capital International Airport, Hong Kong-Macau Bridge Shuttle Bus, Shanghai Hongqiao Airport, Shanghai Pudong International Airport, Shenzhen Airport, Shenzhen Bay Port, Zhuhai Highway Port. cOther cities included Chaozhou, Foshan, Zhuhai, Dongguan, Jiangmen, Jieyang, Meizhou, Shantou, Zhanjiang, Zhaoqing, Zhongshan.
Univariate Analyses for Factors Associated with Interval Between Entering Mainland China and Diagnosis of Imported COVID-19 Cases in Guangdong Province (Mean±SD)
| Parameters | Cases (n=200) | The Average Interval Between Entering Mainland China and Diagnosis (T) | |
|---|---|---|---|
| Male | 126 | 4.09±4.533 | |
| Female | 74 | 4.53±4.629 | |
| ≤20 | 43 | 4.47±4.426 | |
| 21<age≤35 | 90 | 3.17±3.209 | |
| 36<age≤50 | 45 | 5.96±6.116 | |
| >50 | 22 | 4.77±4.937 | |
| Chinese nationality | 162 | 3.59±3.949 | |
| Foreign nationality | 38 | 7.05±5.840 | |
| Designated quarantine point | 142 | 4.35±4.531 | |
| Quarantine in hospital | 38 | 2.08±2.409 | |
| Quarantine at home | 10 | 4.70±4.785 | |
| No quarantine | 10 | 10.60±5.168 | |
| No symptoms as reported | 159 | 4.77±4.809 | |
| Have symptoms as reported | 41 | 2.24±2.644 | |
| Chinese overseas students | 76 | 3.30±3.422 | |
| Businessmen or workers | 70 | 4.76±4.942 | |
| Living abroad | 23 | 4.83±5.306 | |
| Overseas travel | 12 | 6.25±5.311 | |
| Visiting friends or relatives | 19 | 4.21±5.308 | |
| Positive | 165 | 3.22±3.731 | |
| Negative | 35 | 9.09±5.049 | |
| Active inspection by customs and relevant departments | 190 | 4.29±4.632 | |
| Seek medical advice actively | 6 | 4.83±3.061 | |
| Investigated as close contacts | 4 | 1.25±0.500 | |
| Inside the province | 189 | 4.01±4.291 | |
| Outside the province | 11 | 8.36±6.947 | |
| T≤2 d | 135 | 1.91±1.075 | |
| T>2 d | 65 | 9.11±5.175 |
Notes: *Mann–Whitney U-test; #Kruskal–Wallis H-test.
Multivariate Logistic Regression Analyses for Factors Associated with Interval Between Entering Mainland China and Diagnosis of Imported COVID-19 Cases in Guangdong Province
| Characteristic | B | S.E. | Wald χ2 | OR (95% CI) | |
|---|---|---|---|---|---|
| Constant | −7.236 | 2.320 | 9.729 | 0.002 | 0.001 |
| Chinese nationality | Reference | ||||
| Foreign nationality | 1.608 | 0.771 | 4.351 | 0.037 | 4.993 (1.102–22.624) |
| T ≤ 2 d | Reference | ||||
| T > 2 d | 4.932 | 0.806 | 37.399 | 0.000 | 138.671 (28.543–673.714) |
| Positive | Reference | ||||
| Negative | −2.007 | 0.753 | 7.100 | 0.008 | 0.134 (0.031–0.588) |