| Literature DB >> 32247931 |
Jingzhong Wang1, Yi Liao1, Xiaoyang Wang2, Yichong Li2, Dan Jiang3, Jianfan He4, Shunxiang Zhang5, Junjie Xia6.
Abstract
BACKGROUND: Since the outbreak of 2019-nCoV in December, Chinese government has implemented various measures including travel bans, centralized treatments, and home quarantines to slowing the transmission across the country. In this study, we aimed to estimate the incidence of 2019-nCoV infection among people under home quarantine in Shenzhen, China.Entities:
Keywords: 2019-nCoV; Home quarantine; Incidence analysis; Travel history
Mesh:
Year: 2020 PMID: 32247931 PMCID: PMC7270728 DOI: 10.1016/j.tmaid.2020.101660
Source DB: PubMed Journal: Travel Med Infect Dis ISSN: 1477-8939 Impact factor: 6.211
Demographic properties of the sample.
| Frequency | Proportion (%) | |
|---|---|---|
| Sex | ||
| Male | 880 | 53.76 |
| Female | 757 | 46.24 |
| Age | ||
| 0-9 | 202 | 12.34 |
| 10-19 | 139 | 8.49 |
| 20-29 | 190 | 11.61 |
| 30-39 | 519 | 31.70 |
| 40-49 | 374 | 22.85 |
| 50-59 | 140 | 8.55 |
| 60-69 | 64 | 3.91 |
| 70-79 | 8 | 0.49 |
| ≥80 | 1 | 0.06 |
| Districts | ||
| Dapeng | 90 | 5.50 |
| Guangming | 149 | 9.10 |
| Nanshan | 201 | 12.28 |
| Pingshan | 206 | 12.58 |
| Baoan | 230 | 14.05 |
| Yantian | 174 | 10.63 |
| Futian | 159 | 9.71 |
| Luohu | 149 | 9.10 |
| Longhua | 120 | 7.33 |
| Longgang | 159 | 9.71 |
| Underlying disease | ||
| 1,482 | 90.53 | |
| 1 | 136 | 8.31 |
| >1 | 19 | 1.16 |
Travel history and contact history of the sample.
| Frequency | Proportion (%) | |
|---|---|---|
| Travel history | ||
| Did not travel to epidemic areas within 14 days before the medical observation | 424 | 25.93 |
| Traveled to epidemic areas within 14 days before the medical observation | 1,211 | 74.07 |
| Wuhan city | 128 | 10.55 |
| Other cities in Hubei province | 1,045 | 86.15 |
| Other provinces | 40 | 3.30 |
| Vehicles | ||
| Airplane | 59 | 4.89 |
| Train | 186 | 15.41 |
| Bus | 4 | 0.33 |
| Private car | 947 | 78.46 |
| Others | 11 | 0.91 |
| Length of stay (day) | ||
| 1–3 | 795 | 48.62 |
| 4–6 | 407 | 24.89 |
| 7–9 | 195 | 11.93 |
| 10–30 | 166 | 10.15 |
| Long-term residence | 72 | 4.40 |
| Contact history | ||
| Contact with people who had fever or respiratory symptom in Hubei | 13 | 0.80 |
| Contact with confirmed, mild, or asymptomatic cases | 14 | 0.86 |
| Suspected or confirmed cases in your family, or work place? | 12 | 0.73 |
Note: * means study, work, and live in the epidemic areas before coming to Shenzhen.
Fig. 1Distribution of date of arrival at Shenzhen.
Self-protection behaviors of the participants.
| Self-protect behaviors | Frequency (proportion %) | |||
|---|---|---|---|---|
| Never | Occasionally | Often | Every time | |
| Wearing masks when going outside | 48 (2.94) | 48 (2.94) | 87 (5.32) | 1452 (88.81) |
| Washing hand | 41 (2.51) | 17 (1.04) | 158 (9.66) | 1419 (86.79) |
| Reducing outdoor events | 63 (3.85) | 18 (1.10) | 144 (8.81) | 1410 (86.24) |
| Cancelling parties or gatherings | 84 (5.14) | 8 (0.49) | 101 (6.18) | 1442 (88.20) |
| Covering mouth and nose with a tissue or towel when coughing/sneezing | 39 (2.39) | 31 (1.90) | 165 (10.09) | 1400 (85.63) |
Characteristics of confirmed cases in the sample.
| Number | Sex | Age | Travel history | Time lag from the day of return to Shenzhen to the day of onset | Time lag from the day of return to Shenzhen to the day of sampling | Symptoms |
|---|---|---|---|---|---|---|
| 1 | Men | 36 | Stayed in Wuhan for 4 days | 8 | 16 | Body temperature reached 37.4 °C only once, after which the body temperature test was normal |
| 2 | Men | 51 | Stayed in Hubei for 9 days | – | 9 | Occasional dry cough |
| 3 | Women | 13 | Stayed in Hubei for 9 days | – | 9 | None |