Disparities in COVID-19 burden among high-risk communities

Despite the disparities and inequities in coronavirus disease 2019 (COVID-19) management in the United States, there are very few studies that focus on the association between risk behaviors and individual-level infection outcomes.

Study: Impact of individual-level characteristics and transmission mitigation behaviors on SARS-CoV-2 infection and seroprevalence in a large Northern California Bay Area cohort. Image Credit: Marco Di Stefano/ShutterstockStudy: Impact of individual-level characteristics and transmission mitigation behaviors on SARS-CoV-2 infection and seroprevalence in a large Northern California Bay Area cohort. Image Credit: Marco Di Stefano/Shutterstock

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

A better understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) risk factors and the impact of public health measures is only possible through the analysis of individual-level data on sociodemographic factors, transmission mitigation behavior, and SARS-CoV-2 serostatus in large, community-based cohorts.

About the study

In a pre-print study published in the medRxiv* server, the authors investigated individual-level characteristics and mitigation behaviors that contributed to SARS-CoV-2 seroprevalence, self-reported infection, and viral infection, and other outcomes in a large, population-based sample of more than 5,500 individuals from 12 East Bay cities in Northern California followed longitudinally.

Also, during three time periods from July 2020 to April 2021, the authors estimated the population-adjusted prevalence of SARS-CoV-2 outcomes and differences by demographic strata as well as the effect of transmission mitigation behavior on SARS-CoV-2 prevalence. The participants were selected using a screening phase followed by a longitudinal study phase with three rounds of data collection.

The eligibility criteria of the participants included 18 years or older individuals living within the study region, willingness to provide biospecimens and questionnaire responses, ability to read and speak English or Spanish, and having internet access and an email address. The participants provided their informed consent for the screening phase as well as for each study round. At the start of each round, the eligible participants received a kit including materials for self-collection of biospecimens, pre-paid return shipping labels, and instructions to complete an online-administered questionnaire.

The questionnaire was available in English or Spanish, addressing gender, age, race/ethnicity, income, employment, physical and mental health, as well as symptoms potentially related to COVID-19 within the previous two weeks, and SARS-CoV-2 testing outside of the study. The questionnaire also addressed behaviors that might affect the risk of SARS-CoV-2 infection including physical distancing practices, close contact with others, and mask-wearing.

SARS-CoV-2 infection was identified using quantitative reverse transcription PCR (RT-qPCR). Since COVID-19 vaccines were not available in the study region during rounds one and two, the identification of antibodies against the SARS-CoV-2 spike protein was considered evidence of SARS-CoV-2 infection. When vaccinations were widely available during round three the detection of antibodies against the NC protein was considered evidence of SARS-CoV-2 infection, while the detection of antibodies against the spike protein was considered evidence of SARS-CoV-2 infection or COVID-19 vaccination. At each study round, Bayesian multilevel regression and poststratification were used to estimate population-adjusted cumulative seroprevalence, self-reported SARS-CoV-2 viral positivity prevalence, and “probable COVID-19” prevalence.

Results

The study data revealed that the overall prevalence of SARS-CoV-2 outcomes for natural infection was low due to the high percentage of mask-wearing and other risk-mitigating behaviors among the participants. The authors observed that COVID-19 vaccination seroprevalence was lesser in non-Whites compared to Whites; non-Whites without a college degree and those from lower-income households had higher seroprevalence.

Spanish speakers had higher population-adjusted seroprevalence estimates. Moreover, it was found that Whites aged 65 or older had a much higher prevalence of antibodies against the SARS-CoV-2 spike protein than non-Whites of the same age group in Round 3, which is indicative of vaccination status. Due to the high rate of mask usage by study participants the differences between high-risk and low-risk mitigation behavior and SARS-CoV-2 prevalence were not detected.

Limitations and conclusions

The major limitation associated with the study was the under-representation of some demographics in the study sample. Males, non-Whites, individuals from lower-income households, individuals with lower education levels, homeless individuals, and those from lower socioeconomic ZIP codes were underrepresented in the sample. This may have led to the underestimation of overall SARS-CoV-2 seroprevalence and self-reported infection.

In conclusion, the study findings demonstrated that non-Whites, lower-income individuals, and individuals with lower education levels had the highest SARS-CoV-2 seroprevalence and lowest vaccination seroprevalence. This highlights the significant and persistent inequities surrounding the COVID-19 pandemic. More effective policies must be implemented to allocate more resources for high-risk communities to help overcome the social and structural barriers and address these disparities and inequities.

Mask wearing is one the most effective behaviors for controlling community spread of SARS-CoV-2 infection.”

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • May 9 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Susha Cheriyedath

Written by

Susha Cheriyedath

Susha is a scientific communication professional holding a Master's degree in Biochemistry, with expertise in Microbiology, Physiology, Biotechnology, and Nutrition. After a two-year tenure as a lecturer from 2000 to 2002, where she mentored undergraduates studying Biochemistry, she transitioned into editorial roles within scientific publishing. She has accumulated nearly two decades of experience in medical communication, assuming diverse roles in research, writing, editing, and editorial management.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Cheriyedath, Susha. (2023, May 09). Disparities in COVID-19 burden among high-risk communities. News-Medical. Retrieved on October 07, 2024 from https://www.news-medical.net/news/20211209/Disparities-in-COVID-19-burden-among-high-risk-communities.aspx.

  • MLA

    Cheriyedath, Susha. "Disparities in COVID-19 burden among high-risk communities". News-Medical. 07 October 2024. <https://www.news-medical.net/news/20211209/Disparities-in-COVID-19-burden-among-high-risk-communities.aspx>.

  • Chicago

    Cheriyedath, Susha. "Disparities in COVID-19 burden among high-risk communities". News-Medical. https://www.news-medical.net/news/20211209/Disparities-in-COVID-19-burden-among-high-risk-communities.aspx. (accessed October 07, 2024).

  • Harvard

    Cheriyedath, Susha. 2023. Disparities in COVID-19 burden among high-risk communities. News-Medical, viewed 07 October 2024, https://www.news-medical.net/news/20211209/Disparities-in-COVID-19-burden-among-high-risk-communities.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Long COVID affects 38% of emergency patients with persistent symptoms