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Rumors circulate widely during public health crises and have deleterious consequences. In this study, we seek to document the base rates of migrant workers' rumor exposure and identify predictors of rumor hearing, sharing and belief.
Rumors circulate widely during public health crises and have deleterious consequences. Vulnerable populations such as migrant workers tend to lack access to accurate health information, which can put them at higher risk for receiving and spreading misinformation.
In this study, we seek to document (i) the base rates of migrant workers' rumor exposure and (ii) identify predictors of rumor hearing, sharing and belief. These predictors include trust in institutions, risk perceptions, online habits and socio-demographic variables.
Data was taken from the COVID-19 Migrant Health Study, a cross-sectional study of male migrants employed in manual labor jobs within Singapore.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Migrant Workers |
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| Measure | Description | Time Frame |
|---|---|---|
| Confidence in government | Participants were asked how confident they were that the government could control the nationwide spread of COVID-19 | baseline |
| Fear for health | Participants were asked how fearful they were about their health during the COVID-19 situation | baseline |
| Fear for job | Participants were asked how fearful they were about their job during the COVID-19 situation | baseline |
| Degree of exposure to rumours | We investigated participants' familiarity with five rumors that had been widely spread during the COVID-19 pandemic: (1) drinking water frequently will help prevent infection (COVID-19 prevention); (2) eating garlic can help prevent infection (COVID-19 prevention); (3) the outbreak arose from people eating bat soup (COVID-19 origins); (4) the virus was created in a US lab to affect China's economy (COVID-19 origins); and (5) the virus was created in a Chinese lab as a bioweapon (COVID-19 origins). | baseline |
| Online habits | We investigated the number of hours per day that participants' spent checking COVID-19 news and discussing COVID-19 on social media. | baseline |
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Inclusion Criteria:
Exclusion Criteria:
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The study population consist of male migrant workers employed in manual labor jobs within Singapore
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yale NUS | Singapore | Singapore |
Due to stipulations by the Institutional Review Board, data cannot be shared.
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| ID | Term |
|---|---|
| D018352 | Coronavirus Infections |
| D003142 | Communication |
| ID | Term |
|---|---|
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
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| D007239 |
| Infections |
| D001519 | Behavior |