| Literature DB >> 35844886 |
Hairong Shi1, Haixue Zhu2, Yan Ni3.
Abstract
Public health crises pose challenges for governments and health systems, and the coronavirus disease 2019 (COVID-19) has presented major challenges to humans worldwide. In the context of COVID-19 in China, we explore the impacts of the pandemic on the mental health of undergraduate students. We examine pandemic prevention and control measures in Chinese universities through a rapid review and use our findings to explain the difficulties that undergraduate students face. Moreover, our analysis examines the impacts on five aspects of mental health: emotional aspects, personality, interpersonal relationships, learning behavior and employment options. Additionally, we provide implications in four areas based on the application of the study: strengthening psychological intervention, promoting government information disclosure, improving family communication and adjusting self-awareness.Entities:
Keywords: COVID-19; China; mental health; strategies; undergraduate
Mesh:
Year: 2022 PMID: 35844886 PMCID: PMC9277070 DOI: 10.3389/fpubh.2022.940285
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1COVID-19 cases from March to June 2022 in China. Data source: our world in data.
Figure 2Distribution of undergraduates in China. Source: collected from Ministry of Education of the People's Republic of China and designed by the authors. The darker the color, the greater the number of undergraduates, and vice versa.
Number of regular students for normal and short-cycle courses in higher education.
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|
|
|
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|---|---|---|---|
| Henan | 2,492,185 | 99,365,519 | 2.51 |
| Guangdong | 2,400,227 | 126,012,510 | 1.90 |
| Shandong | 2,291,483 | 101,527,453 | 2.26 |
| Jiangsu | 2,014,698 | 84,748,016 | 2.38 |
| Sichuan | 1,800,903 | 83,674,866 | 2.15 |
| Hubei | 1,616,873 | 57,752,557 | 2.80 |
| Hebei | 1,604,798 | 74,610,235 | 2.15 |
| Hunan | 1,510,332 | 66,444,864 | 2.27 |
| Anhui | 1,368,465 | 61,027,171 | 2.24 |
| Jiangxi | 1,241,984 | 45,188,635 | 2.75 |
| Shaanxi | 1,210,048 | 39,528,999 | 3.06 |
| Guangxi | 1,184,167 | 50,126,804 | 2.36 |
| Zhejiang | 1,148,737 | 64,567,588 | 1.78 |
| Liaoning | 1,140,799 | 42,591,407 | 2.68 |
| Yunnan | 964,205 | 47,209,277 | 2.04 |
| Fujian | 947,187 | 41,540,086 | 2.28 |
| Chongqing | 915,556 | 32,054,159 | 2.86 |
| Shanxi | 841,986 | 34,915,616 | 2.41 |
| Guizhou | 840,249 | 38,562,148 | 2.18 |
| Heilongjiang | 825,601 | 31,850,088 | 2.59 |
| Jilin | 726,957 | 24,073,453 | 3.02 |
| Beijing | 608,866 | 21,893,095 | 2.78 |
| Gansu | 581,062 | 25,019,831 | 2.32 |
| Tianjin | 572,152 | 13,866,009 | 4.13 |
| Shanghai | 540,693 | 24,870,895 | 2.17 |
| Xinjiang | 486,680 | 25,852,345 | 1.88 |
| Inner Mongolia | 486,647 | 24,049,155 | 2.02 |
| Hainan | 230,062 | 10,081,232 | 2.28 |
| Ningxia | 146,679 | 7,202,654 | 2.04 |
| Qinghai | 74,111 | 5,923,957 | 1.25 |
| Tibet | 38,556 | 3,648,100 | 1.06 |
Data source: collected from Ministry of Education of the People's Republic of China. .