Infectious Disease

Sociodemographic danger elements on the county degree associated to COVID-19 instances, mortality

February 04, 2021

2 min read

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Disclosure:
Tipirneni reports being a member of the Institute for Healthcare Policy & Innovation team that assessed the Healthy Michigan Plan under contract with the Michigan Department of Health and Human Services and was authorized by CMS. She also reports that as of January 2021, she will lead a joint Blue Cross Blue Shield of Michigan quality initiative to combat social determinants of health (Michigan Social Health Interventions to Eliminate Disparities, or M-SHIELD), and will receive a fee from the American Neurological Association has speaking at an educational conference ..

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Factors such as race and ethnicity, socioeconomic status, household members, and the environment have been significantly linked to COVID-19 cases and mortality in US states, according to a study published on JAMA Network Open.

“Our study found that people in socially disadvantaged countries are more likely to suffer from COVID-19 infections and deaths.” Renuka Tipirneni, MD, MSc, A family doctor in the department of internal medicine and health care researcher at the University of Michigan medical school told Healio Primary Care.

These areas, she added, need increased testing, treatment and vaccine distribution efforts to curb the transmission of COVID-19.

“In addition, health, public health, and social service organizations should target resources to socially disadvantaged communities addressing social risk factors for COVID-19 – such as measures to prevent overcrowded homes and evictions, increased food distribution, and communicating how.” this can prevent the spread of COVID-19 in languages ​​other than English. “

Tipirneni and colleagues conducted a cross-sectional study to assess the relationship between sociodemographic risk factors at the district level and the COVID-19 incidence. They used a mixed-effects binomial regression to assess this association. To assess COVID-19 mortality, they ran a negative binomial regression with no inflation.

The researchers collected publicly available data on COVID-19 cases and mortality from January 20, 2020 to July 29, 2020.

They also collected sociodemographic data from publicly available datasets, including the CDC’s Social Vulnerability Index. The index contains four sub-indices on socio-economic status – such as poverty and unemployment rate, income and level of education – composition and disability of households, status of the racial / ethnic minority, and language and type of housing and transport.

County’s SVIs were obtained by adding indices and converting the sum to a percentile rank from 0 to 1, with higher values ​​indicating increased vulnerability to national disasters.

The researchers identified 4,289,283 COVID-19 cases and 147,074 COVID-19 deaths in the United States as of July 29, 2020.

Tipirneni and colleagues found that for every 0.1 increase in the SVI, the COVID-19 incidence rate increased by 14.3% (IRR = 1.14; 95% CI, 1.12-1.16) and a 13.7% increase in COVID-19 mortality. They found that a change in SVI score from 0.5 to 0.6 represented 87 COVID-19 cases and three deaths per 100,000 people in a medium-sized neighborhood.

In addition, they found a 0.1 increase in SVI, which coincided with a weekly cumulative increase in COVID-19 incidence rate of 0.9% (IRR = 1.01; 95% CI, 1.01-1.01) and an increase in COVID-19 mortality of 0.5% (IRR = 1.01; 95% CI, 1.01-1.01).

Since their study was published, Tipirneni and colleagues have released county-level data on SVI, COVID-19 cases and COVID-19 mortality that public health officials can use to tailor interventions.

“As there is increased awareness of activities ranging from prevention to treatment, inequalities in COVID-19 can improve over time,” Tipirneni said.

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