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COVID-19 Public Messaging: Using Google Autocompletes in Spanish to Understand the Lived Experience of Latinos in the Early Days of the Pandemic

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Pages 1266-1273 | Published online: 12 Aug 2023
 

ABSTRACT

The purpose of this study was to understand the lived experience of the Spanish-speaking Latino community during the COVID-19 shelter-in-place orders. A single remote focus group meeting was conducted with nine Spanish-speaking participants to explore how residents living amidst shelter-in-place orders made informed decisions about health, safety, and security during the early months of the pandemic. The focus group meeting lasted about 60–90 minutes, and this meeting was facilitated by bilingual/bicultural Latino research assistants trained in qualitative research methods. Study participants also completed the Household Pulse Survey developed by the U.S. Census Bureau, a 20-minute survey to understand the social, health, and economic impact of COVID-19. The mean age was 33 years [range 21–60, SD = 12.44], and most participants attended some or completed a college degree. The participants self-reported as heterosexual, and five self-reported as single or never married. At least four noted making less than $25,000 annually, and four reported that they were self-employed. Most of the participants resided in New Jersey (n = 6), whereas two were from Michigan and one was from New York. The themes that emerged from the focus group meeting were the following: (1) social media and televised news outlets propagated confusing and harmful public messages; (2) COVID-19 elicited negative feelings of uncertainty; and (3) participants had widespread concerns about the health of their family, others, and self. Public messages on COVID-19 were not only confusing but harmful, as Latino families were highly dependent on them when determining how to protect their families in the early days of the pandemic.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Science Foundation (2027784) to co-PI Vivek Singh/Pamela Valera

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