| Literature DB >> 32340349 |
Jun He1, Leshui He2, Wen Zhou1, Xuanhua Nie1, Ming He1.
Abstract
This paper is aimed to document the observed social exclusion and discrimination in the outbreak of COVID-19 across the world and inside of China. Discrimination and social exclusion has occurred in various forms, while 25.11% of respondents overseas experienced discrimination in the breakout of COVID-19, and 90% of respondents inside of China exhibited discriminatory attitudes. The discrimination and social exclusion also lead to a range of damaging social outcomes. Thus, this is an urgent call for the inclusiveness in policy and media in the face of this public health emergency.Entities:
Keywords: coronavirus; discrimination; social exclusion
Mesh:
Year: 2020 PMID: 32340349 PMCID: PMC7215298 DOI: 10.3390/ijerph17082933
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Logit model of discrimination and overaction across the world.
| Discrimination | Violent Overaction | |
|---|---|---|
| Age | −0.153 ** (0.055) | −0.190 *** (0.051) |
| Gender (female = 0) | 0.039 (0.115) | -0.121 (0.107) |
| Education | −0.181 ** (0.069) | −0.090 (0.066) |
| Residential statute (Non-permanent = 0) | −0.518 *** (0.131) | −0.128 (0.122) |
| Log infected Number | −0.134 ** (0.052) | −0.326 *** (0.050) |
| Income level of the country | 0.448 *** (0.105) | 0.542 *** (0.099) |
| Constant | −0.876 (0.450) | −0.832 * (0.415) |
| Observations | 1904 | 1904 |
| Pseudo- R2 | 0.028 | 0.031 |
| Log likelihood | −1036.045 | −1132.301 |
Standard errors in parentheses; * p < 0.05, ** p < 0.01, *** p < 0.001. Notes: Coefficients (log odds) from ordered logit models are presented. Numbers in parentheses are standard errors. Income level of country is based on World Bank classification in current 2020 fiscal year. Infected number is based on World Health Organization data on 17 February 2020.