Particular person and socioeconomic components related to COVID an infection, hospitalization and dying
The coronavirus disease (COVID-19) pandemic is actively spreading in all countries, affecting millions of people. In the United States alone, more than 7.45 million people have been infected and more than 210,000 have died.
The country found that the pandemic had disproportionately affected racial and ethnic minority communities, prompting the Harvard Medical School research team to determine the socio-demographic and economic factors at the individual and census tract levels associated with a COVID-19 -Infection have been linked.
The study, published on the open-source preprint server medRxiv *, aimed to determine the role of several individual and social factors that could increase the risk of COVID-19 infection.
Many health professionals believe that factors can contribute to the risk of infection and possible adverse consequences, including language barriers, lower health literacy, overcrowding, dependence on public transport, and limited financial access to health care.
In order to arrive at the study results, the research team analyzed the results of more than 57,000 people. They measured individual factors such as age, gender, and race, also taking into account factors at the census tract level such as population density, the number of people living in the household, and educational status, and how these factors could increase the risk of contraction in severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19.
The team obtained demographics, laboratory results, diagnoses, hospital stays, and deaths from the electronic medical record (EMR) of Mass General Brigham, a large healthcare system in eastern Massachusetts. The socio-demographic data, on the other hand, come from the American Community Survey (ACS) 2014-2018.
The participants taking part in the study were those who tested positive for COVID-19 between February 1 and June 21 in the MGB using the viral polymerase chain reaction (PCR) test in the MGB. That window began about two months before and ended three months after the peak of the cases in the state.
(A) Conceptual model of the aggregated risk of illness of a person, which results from the interaction between risk factors at the individual and census tract level, with red a positive association with undesired results (increased risk) and green a negative association (reduced risk) indicates. and (B) Summary of the individual features (left) and concepts at the census tract level (right) that were independently associated with infection with SARS-CoV-2, hospital stays in the infected and deaths during hospital stays in our sample shows red indicates a positive association with undesirable results (increased risk) and green indicates a negative association (reduced risk). HS = grammar school.
The study results
Study results included the risk of coronavirus infection, COVID-19-related hospitalization in those who tested positive, and death in those in the hospital.
The researchers found that older, male, non-white, non-English, and non-private policyholders were at higher risk of COVID-19 infection. Additionally, at the census level, the team found that those living in areas with increased population densities, more people in the same house, and lower levels of education were also linked to a higher risk of SARS-CoV. 2.
Regarding hospitalization, the team also found that people living in apartment buildings, extreme household crows, and lower education were associated with an increased risk of hospitalization. In addition, only individual factors such as age, masculinity, and Medicare insurance have been linked to an increased risk of death during hospitalization.
“This study of the first wave of the SARS-CoV-2 pandemic in a large US city shows the cascade of results following SARS-CoV-2 infection in a large multiethnic cohort,” concluded the research team in the study.
“SARS-CoV-2 infection and hospitalization rates, but not hospitalization mortality rates, are related to socio-economic characteristics at the census tract level, including lower levels of education and higher population density and occupancy, but not to neighborhood scales Race regardless of individual factors, “they added.
COVID-19 high risk people
Nine months into the pandemic, the list of people at higher risk of COVID-19 infection and those who may develop severe symptoms has expanded. At the beginning of the pandemic, older adults and those with underlying medical conditions were classified as high-risk. Many studies have shown that men are also at higher risk for COVID-19, and minorities in the United States are more affected by the pandemic because they are also at higher risk of developing severe COVID-19.
Worldwide, the coronavirus pandemic with more than 35.34 million infections since December 2019, when the coronavirus first appeared in the Chinese city of Wuhan, is far from over.
* Important NOTE
medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be considered conclusive, guide clinical practice / health-related behavior, or treated as established information.