Details Published on Wednesday 15 April 2020 18:48 Written by Radical Socialist
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The demographic data collected and reported in the media for sickness and mortality rates due to COVID-19 has focused on age and to a certain extent gender. While mass hardship from unemployment has been widely reported, we have heard little about sickness or mortality rates by class or race for the coronavirus. There is nonetheless, clear evidence that class and race, and health and disease in general are closely linked. It is very likely therefore that sickness, recovery, and mortality rates for the Coronavirus pandemic will closely mirror class divides within countries and between rich and poor countries. Individual and household incomes, which reflects the class structure in a general way will be a key factor in how different classes experience the pandemic and its aftermath. Workers and the poor and people of color will likely suffer at greater rates than more privileged class and racial groups.
Sociologists, social epidemiologists and other researchers have long noted the close connections between class, race, and health. However, the two cases for which most data have been reported on COVID-19, China and Italy, gives us little guide to class or race in the current crisis because data on incomes or other measures of class have either not been collected or not have been released, and both are countries without the type of stratified racial structure as the US. While the virus spreads through human contact via close interaction with people and infected surfaces ignoring class distinctions, patterns of those who do become ill, their recovery rates and those who die will very likely be connected to social class. More research may very likely reveal a clear class divide in China and Italy. We can expect clear social epidemiological patterns along race as well as class lines in the US as the epidemic unfolds. We can see the connections between class structure and class inequality on the one hand, and health and illness rates on the other, by comparing data on income with data on measures of health such as infant mortality and life expectancy. These are general estimates in part because income is an imperfect measure of social class.