| Literature DB >> 32407893 |
Jingchun Fan1, Xiaodong Liu2, Guojun Shao3, Junpin Qi4, Yi Li5, Weimin Pan6, Brett D Hambly7, Shisan Bao8.
Abstract
Background: The transmission of COVID-19 is about to come under control within China, however, an emerging challenge to the Chinese authorities is reverse transmission due to COVID-19 patients/carriers evacuating from overseas to China.Entities:
Keywords: Importing; Iran; Outbreaks; SARS-CoV-2; Spreading
Mesh:
Year: 2020 PMID: 32407893 PMCID: PMC7215163 DOI: 10.1016/j.tmaid.2020.101741
Source DB: PubMed Journal: Travel Med Infect Dis ISSN: 1477-8939 Impact factor: 6.211
Fig. 1The location of Gansu, China and Iran.
The relationship between epidemiology and reversed imported incidence.
| Characteristics | Nucleic acid detection | p | |||
|---|---|---|---|---|---|
| Positive (%) | Negative (%) | ||||
| Sex | Male | 34 (36) | 175 (64) | 11.615 | 0.001 |
| Female | 3 (8) | 99 (92) | |||
| Age | <16 | 0 (0) | 24 (100) | NA | 0.014 |
| 16–30 | 37 (14) | 225 (86) | |||
| >30 | 0 (0) | 25 (100) | |||
| Race | Hui | 27 (11) | 215 (89) | NA | 0.026 |
| Han | 2 (5) | 37 (95) | |||
| Other | 8 (27) | 22 (73) | |||
| Occupation | Student | 37 (15) | 218 (85) | 9.223 | 0.002 |
| Other | 0 (0) | 56 (100) | |||
| Attend to mosque within 14 d | Yes | 2 (22) | 7 (78) | NA | 0.291 |
| No | 35 (12) | 267 (88) | |||
| Worn facemask | Yes | 11 (24) | 34 (76) | 7.902 | 0.005 |
| No | 26 (10) | 240 (90) | |||
| Had close contact with COVID-19 symptomatic person | Yes | 3 (18) | 14 (82) | NA | 0.329 |
| No | 34 (12) | 269 (88) | |||
| Had close contact with COVID-19 patients | Yes | 5 (22) | 18 (78) | 3.280 | 0.204 |
| No | 22 (13) | 152 (87) | |||
| Not clear | 10 (9) | 104 (91) | |||
| Residential situation | Apartment | 29 (15) | 168 (85) | 4.088 | 0.043 |
| With family or alone | 8 (7) | 106 (93) | |||
NA: Fisher's exact test.
The clinical symptoms comparison between patients and non-patients.
| Clinical symptoms | Nucleic acid detection | p | ||
|---|---|---|---|---|
| Positive (%) | Negative (%) | |||
| Fever | Yes | 2 (11) | 17 (89) | 1.000 |
| No | 35 (12) | 255 (88) | ||
| Chill | Yes | 2 (67) | 1 (33) | 0.038 |
| No | 35 (11) | 273 (89) | ||
| Cough | Yes | 0 (0) | 7 (100) | 1.000 |
| No | 37 (12) | 267 (88) | ||
| Stuffy nose | Yes | 0 (0) | 2 (100) | 1.000 |
| No | 37 (12) | 267 (88) | ||
| Running nose | Yes | 2 (33) | 4 (67) | 0.152 |
| No | 35 (12) | 270 (88) | ||
| Sore throat | Yes | 0 (0) | 10 (100) | 0.614 |
| No | 37 (12) | 264 (88) | ||
| Headache | Yes | 1 (17) | 5 (83) | 0.535 |
| No | 36 (12) | 269 (88) | ||
| Fatigue | Yes | 0 (0) | 2 (100) | 1.000 |
| No | 37 (12) | 272 (88) | ||
| Dizziness | Yes | 1 (33) | 2 (67) | 0.317 |
| No | 36 (12) | 272 (88) | ||
| Muscle pain | Yes | 0 (0) | 3 (100) | 1.000 |
| No | 37 (12) | 271 (88) | ||
| Joint pain | Yes | 1 (33) | 2 (67) | 0.317 |
| No | 36 (12) | 272 (88) | ||
| Shortness of breath | Yes | 2 (67) | 1 (33) | 0.038 |
| No | 35 (11) | 273 (89) | ||
| Dyspnoea | Yes | 0 (0) | 0 (0) | NA |
| No | 37 (12) | 274 (88) | ||
| Chest stress | Yes | 0 (0) | 0 (0) | NA |
| No | 37 (12) | 274 (88) | ||
| Chest pain | Yes | 2 (67) | 1 (33) | 0.038 |
| No | 35 (11) | 273 (89) | ||
| Conjunctivitis | Yes | 0 (0) | 0 (0) | NA |
| No | 37 (12) | 274 (88) | ||
| Nausea | Yes | 2 (100) | 0 (0) | 0.038 |
| No | 35 (11) | 273 (89) | ||
| Vomiting | Yes | 0 (0) | 1 (0) | 1.000 |
| Yes | 37 (12) | 273 (88) | ||
| Diarrhoea | No | 0 (0) | 2 (1) | 1.000 |
| Yes | 37 (12) | 272 (88) | ||
| Stomach ache | No | 1 (25) | 3 (75) | 0.399 |
| Yes | 36 (12) | 271 (88) | ||
NA: Not application.
Fig. 2The original distribution of COVID-19 cases in China.
The figure above indicates the cumulative confirmed COVID-19 cases in China till March 13, 2020. The different colours represent the overall incidence of confirmed COVID-19 cases within the general population within each province of China.
The round dots represent the original place of residence within China of the Chinese returnees from Iran, with the size of the dot corresponding to the numbers of returnees. Most of these returnees were originally from Ninxia Hui Autonomous Region. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3The distribution of returnees and COVID-19 confirmed cases in Iran.
The figure above indicates the incidence of COVID-19 infection within the various different regions of Iran, with colour differentiation representing the overall incidence of confirmed COVID-19 cases within the general population within each of these regions within Iran; whereas the round dots represent the number of the Chinese returnees living within each of these regions prior to their return evacuation to China. The difference in the size of the dots corresponds to the number of returnees from each region. The green columns represent the confirmed COVID-19 cases amongst these returnees in each region of Iran. . (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)