| Literature DB >> 32396516 |
Yu Huang1, Qingqing Wu1, Ping Wang2, Yan Xu1, Lei Wang1, Yusui Zhao1, Dingming Yao1, Yue Xu1, Qiaohong Lv1, Shuiyang Xu1.
Abstract
BACKGROUND: In early 2020, over 80,000 cases of coronavirus disease (COVID-19) were confirmed in China. Public prevention and control measures, along with efforts from all sectors of society, were undertaken to control and eliminate disease transmission.Entities:
Keywords: COVID-19; coronavirus disease; health QR code; health education; infectious disease; internet-based research; outbreak; preventive measures; response; strategy
Mesh:
Year: 2020 PMID: 32396516 PMCID: PMC7219722 DOI: 10.2196/18718
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Survey respondents’ sociodemographic characteristics (N=10,198).
| Characteristic | Respondents, n (%) | |
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| Male | 2641 (25.9) |
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| Female | 7557 (74.1) |
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| <30 | 5653 (55.4) |
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| 30-49 | 4059 (39.8) |
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| ≥50 | 486 (4.8) |
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| Primary or less (≤9 years) | 524 (5.1) |
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| Secondary (10-12 years) | 1105 (10.8) |
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| Undergraduate (13-16 years) | 7179 (70.4) |
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| Postgraduate (>16 years) | 1390 (13.6) |
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| Staff of government institutions | 1809 (17.7) |
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| Staff of business and service industry | 4089 (40.1) |
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| Students | 1844 (18.1) |
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| Health workers | 666 (6.5) |
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| Housewives or househusbands | 745 (7.3) |
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| Others (retired, unemployed, etc) | 1045 (10.3) |
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| Single/divorced/widowed | 4770 (47.4) |
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| Married | 5364 (52.6) |
Chinese citizens’ level of attention to the coronavirus disease (COVID-19) epidemic and their main information sources.
| Variables | Total responses (N=10,198), n (%) | |
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| Very high | 8035 (78.8) |
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| High | 1978 (19.4) |
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| Neutral | 170 (1.7) |
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| Low | 11 (0.1) |
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| Very low | 4 (0.04) |
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| 9400 (92.2) | |
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| News and information applications | 4529 (44.4) |
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| Microblogs | 4154 (40.7) |
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| Television or radio | 4042 (39.6) |
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| Family members/friends/colleagues | 2417 (23.7) |
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| Websites | 2167 (21.3) |
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| Short video applications | 1606 (15.8) |
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| SMS | 1110 (10.9) |
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| Community advocacy | 1069 (10.5) |
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| Paper media (newspaper, magazine, etc) | 671 (6.6) |
Preventive measures taken by participants to avoid being infected with coronavirus disease (COVID-19), grouped by gender.
| Variable | Gender | Total, n (%) | |||
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| Male, n (%) | Female, n (%) |
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| Told them to avoid large gatherings | 2194 (83.1) | 6458 (85.5) | 8652 (84.8) | .07 |
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| Persuaded them to stay at home as much as possible | 2276 (86.2) | 6761 (89.5) | 9037 (88.6) | <.001 |
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| Shared epidemic information with them | 2062 (78.1) | 6207 (82.1) | 8269 (82.0) | <.001 |
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| Told them to use a mask in public | 2205 (83.5) | 6517 (86.2) | 8722 (85.5) | <.001 |
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| .003 | ||||
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| Yes | 2394 (90.6) | 7033 (93.1) | 9427 (92.4) |
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| No | 247 (9.4) | 524 (6.9) | 771 (7.6) |
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| .001 | ||||
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| Yes | 2563 (97.0) | 7423 (98.2) | 9986 (97.9) |
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| No | 78 (3.0) | 134 (1.8) | 212 (2.1) |
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| <.001 | ||||
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| Yes | 2488 (94.2) | 7271 (96.2) | 9759 (95.7) |
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| No | 153 (5.8) | 286 (3.8) | 439 (4.3) |
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| <.001 | ||||
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| Yes | 2557 (96.8) | 7431 (98.3) | 9988 (97.9) |
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| No | 84 (3.2) | 126 (1.7) | 210 (2.1) |
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| After touching public goods | 2262 (85.7) | 6718 (88.9) | 8980 (88.1) | .001 |
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| After toilet use | 2424 (91.8) | 7241 (95.8) | 9665 (94.8) | <.001 |
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| After returning home | 2330 (88.2) | 7001 (92.6) | 9331 (91.5) | <.001 |
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| After coughing/sneezing | 1706 (64.6) | 5076 (67.2) | 6782 (66.5) | .06 |
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| Before eating | 2279 (86.3) | 6644 (87.9) | 8923 (87.5) | .11 |
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| <.001 | ||||
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| Yes | 2196 (83.2) | 6646 (87.9) | 8842 (86.7) |
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| No | 445 (16.8) | 911 (12.1) | 1356 (13.3) |
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| .01 | ||||
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| Yes | 1451 (54.9) | 4438 (58.7) | 5889 (57.8) |
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| No | 1190 (45.1) | 3119 (41.3) | 4309 (42.3) |
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aMultivariate logistic regression, adjusted for age, education level, occupation, marital status, and region.
Places that participants had been to during the coronavirus disease (COVID-19) epidemic period prior to taking the survey.
| Place | Total responses (N=10,198), n (%) |
| Supermarket or shopping mall | 5109 (50.1) |
| Always at home | 2648 (26.0) |
| Gathering with friends or family members | 1755 (17.2) |
| Farmer’s market | 1427 (14.0) |
| Public transport areas | 1120 (11.0) |
| Workplace | 898 (8.8) |
Participants’ confidence in curbing the COVID-19 epidemic in China.
| Confidence level | Total responses (N=10,198), n (%) |
| Strongly confident | 3014 (29.6) |
| Confident | 2864 (28.1) |
| Neutral | 3073 (30.1) |
| Lack of confidence | 1022 (10.0) |
| Strong lack of confidence | 225 (2.2) |
Main public strategies that responded to coronavirus disease 2019 (COVID-19) epidemic in China.
| Date | Main strategies implemented by the government, health workers, factories, companies, and media |
| January 20 | Person-to-person transmission is officially announced to the public. Nationwide health education campaign is initiated. People are encouraged to stay at home, avoid gatherings, wear protective masks when they need to move in public, etc. |
| January 23 | The government extends Chinese Lunar New Year holiday. Museums, libraries, shopping malls, etc, are closed. Large public events are canceled or postponed. Chinese authorities place a lockdown on Wuhan, the epicenter of COVID-19, and traffic in Wuhan and cities across Hubei Province is restricted and monitored. Transportation is subsequently restricted at a national level. |
| January 24 | The first batch of medical teams from outside Hubei arrive in Wuhan. More medical staff continue to arrive, totaling over 40,000 individuals. Chinese companies are ordered to build a 1000-bed hospital within 10 days. Work on a second facility with 1300 beds follows 2 days later. To plug the shortage of protective suits, masks, and other medical supplies, Chinese manufacturers from various industries are mobilized, including those that normally manufacture cars and cellphones. |
| January 27 | The Examine and Approve Policy on resumption of work is initiated. Factories, companies, etc, begin to collect the travel history and health status of staff members. |
| February 3 | Psychological service is provided nationally. A training program is set up on the National Health Commission website for continuing medical education [ |
| February 4 | Close management of communities, villages, and workplaces to curb COVID-19 begins in Hangzhou and is later implemented nationally. Community screening is initiated. |
| February 10 | China urges efforts to ensure orderly resumption of work to provide sufficient material support for epidemic control. The health status of workers is examined and recorded before they resume work and monitored twice a day during work. |
| February 11 | A health QRa code system is developed by Alibaba Company, and implemented to control the spread of COVID-19 in Hangzhou. People traveling to Hangzhou must report their travel history and health conditions in advance online and are issued with green, yellow, or red QR codes, based on the information they had provided. A green code holder, rated as having little chance of being infected, can visit public areas and take public transport normally after taking their temperatures. Those with yellow and red codes, however, must be quarantined for 14 days and report their health information every day, or be sent to a hospital if necessary, before they may travel. Subsequently, the system is implemented nationally. |
| February 24 | With the decrease in new cases, shopping malls, libraries, museums, etc, are reopened in succession. |
| February 28 | The government publicly announces that the COVID-19 epidemic in Wuhan is controllable and is heading in a good direction. |
aQR: Quick Response.
Figure 1Daily new cases of coronavirus disease (COVID-19) in China since January 20, 2020.