b'Department of MathematicsMathematical Model for the Corona Virus Spread in El Paso, TexasAlexander Morgan and Tabitha PalmerSponsors: Dr. Andreas Lazari and Dr. Jemal Mohammed-AwelOver the past year, the world has been struggling with COVID-19. It has spread more than anyone could have imagined, affecting and ending the lives of many. Understanding the rate at which COVID-19 spreads we can develop mathematical models to predict the number of people infected at any given time. There are many factors contributing both to the virus and to preventing it, i.e. social distancing, wearing masks, vaccines. Under these conditions creating a mathematical model to predict exactly the number of people infected at a given time its extremely difficult if not impossible.We have reasons to believe that the rate at which COVID-19 spreads through the community is jointly proportional to the number of people in the community who have caught the disease and those in the community who have yet to catch it. If M is the maximum population that can get infected and P(t) is the population infected at time t, then the rate at which the virus spreads can We will test this model for accuracy using data, the total number of confirmed cases of COVID-19, collected from the city of El Paso, Texas. We collected the total number of confirmed cases from April to December 2020 using Googles website https://news.google.com/covid19/map?hl=en-US&mid=%2Fm%2F0nz8n&gl=US&ceid=US%3Aen. 37'