A new study has revealed that the United States has seen around a 20 percent rise in deaths from March to August 2020. The worrying part is that almost 67 percent of these deaths are attributed to COVID19. This study has been done by scientists from Virginia Commonwealth University and Yale University. It has been published in the Journal JAMA. Experts have observed the data from the National Center for Health Statistics and the US Census Bureau. Experts have said that the death rate in the US has been consistent each year; however, from March to August 2020 there has been around a 20 percent increase in the death count. Experts have clearly mentioned that COVID19 has led to 67 percent of these surplus deaths.
There have been many experts who have been claiming that the rising number of deaths due to COVID19 in the US, which have been reported in the media, is not correct rather it is quite less. Contrary to this, the lead author of the study, Dr. Steven Woolf has said that the findings of the new study show exactly the opposite. As per the findings of the study, there have been 1.3 million deaths in the US during the period of the study. Around 225530 excess deaths have been reported as well. As per, John Hopkins University, there have been 215549 deaths linked to COVID19 in the US. The study has noted that there has been a significant increase in the deaths linked to other causes like heart disease and dementia as well during certain weeks.
The lead with of the study has said that some people who have not been infected might have died due to the pandemic linked disturbance. These deaths included people with chronic diseases like diabetes who have not been treated properly and emotional crisis due to pandemic, which has led to deaths due to overdose and suicides. The study has mentioned that inability to contain the virus and untraced virus transmission might be the reason behind excess deaths in the United States. However, there have been certain limitations linked to this study such as inaccurate death certificates, and dependence on provisional data.