| Literature DB >> 36052353 |
Kaixi Ji1, Mengqian Zhou1, Zitong Yang1, Haiyong Zong2.
Abstract
As water quality can be an indicator of public health, it cannot be ignored. We can regard the international image of a country as a kind of soft national power, which embodies the comprehensive strength of the country and plays a very important role in safeguarding the interests of a country. This article aims to study the changes in China's international image under mainstream media reports during the COVID-19 pandemic. This article is based on contaminated water and human health to study the concept of the international image, the optimization path of China's international image, and the SEIR model. The SEIR model is one of the classic infectious disease models. Because the virus infection rate in this model is constant, it is difficult to accurately determine the spread of new coronary pneumonia. To model and complete the pandemic trend prediction and other issues, this article proposes a virus infection rate prediction method based on the long short-term memory network (LSTM), and combines it with the SEIR model to establish a new crown pneumonia pandemic trend prediction model (LS-Net). The conclusion of this article shows that in the fight against the novel coronavirus infectious pneumonia pandemic, the Chinese people have demonstrated the style of a big country. I have unreservedly passed on my own experience in pandemic prevention and control to countries around the world, and dispatched medical teams to provide the world with Chinese "prescriptions." Chinese diagnosis and treatment programs are the crystallization of common wisdom of Chinese medicine and Western medicine to support the world. All countries fight the pandemic together. In this analysis, Pakistan, Kenya, and Nigeria hold 84%, 85%, and 75% of China's positive views, respectively, 61% of Russians also have a positive attitude toward China.Entities:
Mesh:
Year: 2022 PMID: 36052353 PMCID: PMC9427284 DOI: 10.1155/2022/7537056
Source DB: PubMed Journal: J Environ Public Health ISSN: 1687-9805
Representative views of foreign scholars on the definition of national image.
| years | Scholar | View |
|---|---|---|
| 2003 | Ale R. Holsti | It is believed that the international image is connected with the belief system of the country, and the international image is the “part of the belief system” formed by perceiving a country. |
| 2010 | Alpo Rusi | The international image is the image displayed by a sovereign country on the world stage and its reflection in international public opinion. |
| 2012 | Robert Jervis | The international image is defined as the image of a sovereign country in the flow of international news or in international news or speech reports. |
| 2015 | Gordeyeva | The international image is defined as the comprehensive evaluation and overall impression of other countries on the country, generally based on the international image reflected in the news media and public opinion of other countries. |
Figure 1The optimization path of China's international image.
Figure 2SEIR model.
Figure 3LS-Net overall framework.
Figure 4Coronavirus disease (This picture is borrowed from the Internet).
Differences in the mental health of the public in different regions under the pneumonia pandemic.
| Subdimension | Outside Hubei province | Hubei province (not Wuhan) | Wuhan |
|
|
|---|---|---|---|---|---|
| M (SD) | M (SD) | M (SD) | |||
| Fear | 2.67 | 2.56 | 2.79 | 1.15 | 0.54 |
| Depression | 1.89 | 1.99 | 2.34 | 3.43 | 0.05 |
| Anxiety | 3.14 | 3.23 | 3.18 | 0.13 | 0.87 |
| Anger | 3.21 | 2.99 | 3.16 | 1.69 | 0.21 |
|
| 811 | 666 | 654 |
Differences in the mental health of different genders in the pneumonia pandemic.
| Area | Gender | Fear | Depression | Anxiety | Anger | ||||
|---|---|---|---|---|---|---|---|---|---|
|
| SD |
| SD |
| SD |
| SD | ||
| Wuhan | Male | 2.11 | 0.65 | 1.78 | 0.79 | 3.03 | 0.83 | 3.01 | 0.91 |
| Female | 2.45 | 0.76 | 1.98 | 0.98 | 3.06 | 0.85 | 3.11 | 0.94 | |
| Hubei province (not Wuhan) | Male | 2.65 | 0.87 | 1.87 | 0.91 | 3.01 | 0.89 | 3.02 | 0.90 |
| Female | 2.42 | 0.88 | 1.96 | 0.75 | 3.11 | 0.87 | 3.06 | 0.93 | |
| Outside Hubei province | Male | 2.52 | 0.89 | 1.89 | 0.76 | 3.12 | 0,91 | 3.03 | 0.95 |
| Female | 2.34 | 0.91 | 1.99 | 0.78 | 3.08 | 0.87 | 3.08 | 0.92 | |
Differences in the mental health of different occupations under the pneumonia pandemic.
| Sub-dimension | Student group | Staff member |
|
|
|---|---|---|---|---|
| M (SD) | M (SD) | |||
| Fear | 2.54 | 2.13 | 0.78 | 0.44 |
| Depression | 1.78 | 1.78 | −0.23 | 0.83 |
| Anxiety | 3.10 | 3.12 | −1.41 | 0.11 |
| Anger | 3.03 | 3.10 | −1.42 | 0.12 |
|
| 1881 | 231 |
Analysis of differences in mental health among people of different ages in the pandemic of pneumonia.
| Subdimension | Under 20 | 20–29 years old | 30–39 years old | Over 40 years old | F |
|
|---|---|---|---|---|---|---|
| M (SD) | M (SD) | M (SD) | M (SD) | |||
| Fear | 2.33 | 2.61 | 2.13 | 2.23 | 2.00 | 0.12 |
| Depression | 1.91 | 1.91 | 1.89 | 1.87 | 0.21 | 0.78 |
| Anxiety | 3.10 | 3.11 | 3.11 | 3.11 | 2.11 | 0.10 |
| Anger | 3.01 | 3.09 | 3.10 | 2.78 | 1.11 | 0.32 |
|
| 1170 | 760 | 43 | 131 |
Figure 5Analysis of China's international image before and after the pandemic.
Figure 6Comparison of the number of new cases per day in China and outside China.
Figure 7The world's economy map (This picture is quoted from the Internet).