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Stigmatization of Chinese and Asian-looking people during the COVID-19 pandemic in Germany

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2021

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BMC Public Health. BioMed Central. 2021, 21, 1296. eISSN 1471-2458. Available under: doi: 10.1186/s12889-021-11270-1

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Background
The outbreak and global spread of COVID-19 was accompanied by an increase in reports of stigmatization of Chinese and Asian-looking people. The behavioral immune system provides a framework for stigmatization in response to infectious disease threats. Specifically, stigmatization might increase with rising levels of infectious disease threat. The present study aimed to examine this hypothesis during the early phase of the COVID-19 pandemic.

Methods
As part of the “EUCLID” project (https://euclid.dbvis.de), a total of 5011 persons from Germany were surveyed via an online-questionnaire between February 2nd and April 3rd, 2020, covering the progression of the COVID-19 pandemic over three time periods which were defined by critical events.

Results
There was no evidence for an increase in the stigmatization of Chinese and Asian-looking people across three topics, that is personal proximity, air travel, and medical measures upon arrival from China.

Conclusions
The present findings provide good news in that participants showed an adaptive response to the infectious disease threat rather than displaying increased stigmatization. Further research is necessary to specify the conditions that increase the risk of stigmatization in response to infectious disease threats.

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ISO 690KOLLER, Julia E., Karoline VILLINGER, Nadine C. LAGES, Isabel BRÜNECKE, Kai D. ENGEL, Sofia GRIEBLE, Peer C. HOMANN, Robin KAUFMANN, Kim M. KOPPE, Hannah OPPENHEIMER, Vanessa RADTKE, Sarah ROGULA, Johanna STÄHLER, Britta RENNER, Harald T. SCHUPP, 2021. Stigmatization of Chinese and Asian-looking people during the COVID-19 pandemic in Germany. In: BMC Public Health. BioMed Central. 2021, 21, 1296. eISSN 1471-2458. Available under: doi: 10.1186/s12889-021-11270-1
BibTex
@article{Koller2021Stigm-54177,
  year={2021},
  doi={10.1186/s12889-021-11270-1},
  title={Stigmatization of Chinese and Asian-looking people during the COVID-19 pandemic in Germany},
  volume={21},
  journal={BMC Public Health},
  author={Koller, Julia E. and Villinger, Karoline and Lages, Nadine C. and Brünecke, Isabel and Engel, Kai D. and Grieble, Sofia and Homann, Peer C. and Kaufmann, Robin and Koppe, Kim M. and Oppenheimer, Hannah and Radtke, Vanessa and Rogula, Sarah and Stähler, Johanna and Renner, Britta and Schupp, Harald T.},
  note={Article Number: 1296}
}
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    <dcterms:abstract xml:lang="eng">Background&lt;br /&gt;&#xD;
The outbreak and global spread of COVID-19 was accompanied by an increase in reports of stigmatization of Chinese and Asian-looking people. The behavioral immune system provides a framework for stigmatization in response to infectious disease threats. Specifically, stigmatization might increase with rising levels of infectious disease threat. The present study aimed to examine this hypothesis during the early phase of the COVID-19 pandemic.&lt;br /&gt;&lt;br /&gt;&#xD;
Methods&lt;br /&gt;&#xD;
As part of the “EUCLID” project (https://euclid.dbvis.de), a total of 5011 persons from Germany were surveyed via an online-questionnaire between February 2nd and April 3rd, 2020, covering the progression of the COVID-19 pandemic over three time periods which were defined by critical events.&lt;br /&gt;&lt;br /&gt;&#xD;
Results&lt;br /&gt;&#xD;
There was no evidence for an increase in the stigmatization of Chinese and Asian-looking people across three topics, that is personal proximity, air travel, and medical measures upon arrival from China.&lt;br /&gt;&lt;br /&gt;&#xD;
Conclusions&lt;br /&gt;&#xD;
The present findings provide good news in that participants showed an adaptive response to the infectious disease threat rather than displaying increased stigmatization. Further research is necessary to specify the conditions that increase the risk of stigmatization in response to infectious disease threats.</dcterms:abstract>
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    <dc:contributor>Radtke, Vanessa</dc:contributor>
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