Health

Researchers have identified socio-economic predictors that may inform future pandemic responses-ScienceDaily

In March 2020, New York City, a symbol of the United States, was unfortunately selected as the early epicenter of the new coronavirus. Seven months later, the United States is facing a new surge in coronavirus cases, and researchers at the University of Texas A & M want to provide information and context to help in the upcoming battle.

Rich Whittle, a PhD student at Texas A & M, found in a recent study that New York City accounted for more than one-third of confirmed cases in the United States by April 2020, with infection rates in other countries. It states that it is five times.

Whittle wanted to examine these early stages of the pandemic spread near New York to find out if there were socio-economic factors that could be associated with a high positive rate for COVID-19.

“The world is waking up to the first pandemic after a while, but not the last, so it is important for public health to understand the contact patterns and socio-economic factors that lead to high detection cases. “, Said Whittle.

Research published in BMC medicine, Identified four key predictors of COVID-19 cases in New York City. Highly populated areas led to higher positive rates. Areas with a younger population (under 18 years old) also led to an increase. High-income households have declined. Race showed a significant association with the detected COVID-19 cases. A low percentage of whites and a high percentage of blacks increased the positive rate.

“From what is available in the early stages, this is what we see from the data, and we note that these early stages are very important for controlling this pandemic and future pandemics. I know, “said Associate Professor Anadias Arts. He is a Texas A & M Department of Aerospace Engineering and co-author of research.

The study used spatial modeling techniques to examine approximately 60,000 data during the first month of the pandemic in New York City.

“I’m really interested in spatial statistics. When I was in the military, I was working in geospatial intelligence, so I have a background interest in it,” Whittle said. “At that time, I was taking a statistics class with Dr. Diaz Artills, so I thought I could combine these two interests to see ecological studies related to COVID-19.”

Whittle began his research as the final class project of Diaz Artiles’ Spring Design of Experiments and Statistical Methods Course (AERO 689).

“This class gives students the opportunity to solve problems they are interested in,” said Diaz Arts. “These classes are very helpful to students not only in terms of learning statistical tools, but also in applying them to practical applications that can lead to influential results and publications. . “

In addition to academic interest, Whittle was motivated to pursue research because of the value that results can provide, both now and in the future.

“We need to understand the early stages of a pandemic,” Whittle said. “And in America, I’m sure there are a lot of complaints right now. There is a clear public interest in understanding the early reactions of the pandemic.”

Whittle and Diaz Artiles need to understand the early factors and impacts of past pandemics, such as the 2009 H1N1 pandemic and the pandemics they are currently facing, in order to inform future management. Is emphasized.

“We hope that our research will provide a better understanding of the key factors that influence the spread of the disease and improve future decision-making in the early stages of the pandemic,” said Diaz Artiles. ..

Story source:

material Provided by Texas A & M University.. Original written by Felysha Walker. Note: The content can be edited in style and length.

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