Team: 41
School: Los Lunas High
Area of Science: Epidemiology
Interim: Team Number: 41
School name: Los Lunas
Area of science: Epidemiology
Project title: Epidemiology model of COVID-19
Project Definition:
COVID-19 has taken a lot of things away from all of us. We lost friends and family from the virus others got laid off from their jobs; 2020 has been a struggle for all of us. It has affected Native American tribes the most because their religion is dying with their elders. With the addition of COVID-19, now their religion is in jeopardy. One of the ways of slowing the spread of the virus until we get a vaccine is through quadrating ourselves, keeping our distance from each other, and wearing face masks out in public. One determining factor I noticed that affects their infection rates is how the tribal government reacts to the problem and enforces the decisions.
Problem Solution:
How effective are the executive orders in slowing the spread of the virus? My solution is to create an epidemiological model of the Pueblo of Isleta and show how effective executive orders are in slowing the spread of COVID. I have researched how other tribes have combat COVID-19 and what their actions have done to their infection numbers. I plan to model it in NetLogo and using it to replicate the disease progression. I plan to get most of my information on the virus from the CDC and the data from New Mexico Health on the infection and death rates. I will also compare what different tribes have done to combat the virus and how they affected the infection rates.
Progress to Date:
Currently, I’ve created an epidemiological model in NetLogo replicating the spread of COVID-19. Turtles have the chance of contracting it with different masks filtering out various amounts of air particles. I’ve researched how the Pueblo of Isleta, Mescalero Apache, Zuni Pueblo, and the Navajo Nation on how they’ve combatted the virus and how effective they were. I’ve concluded that the infection rate depends on how much the tribes enforce the executive orders. I’m planning on adding in a changeable variable on how much the tribe enforces the executive orders and which people will try to go against the executive orders.
Expected Results:
After programming and testing the epidemiological model, I expect to have this model to put the user in the set of the governor of Isleta and deciding when to enact certain executive orders. I hope that the Pueblo of Isleta and other Native American tribes use this program as an example of how slow their COVID-19 infection rates until we get a vaccine distributed to everyone.
Citations:
Coronavirus Resource Center. (2020, October 29). Retrieved November 02, 2020, from https://www.health.harvard.edu/diseases-and-conditions/coronavirus-resource-center
COVID-19 in Children and Teens. (2020, September 17). Retrieved November 02, 2020, from https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/symptoms.html
Fischer, E., Fischer, M., Grass, D., Henrion, I., Warren, W., & Westman, E. (2020, September 01). Low-cost measurement of face mask efficacy for filtering expelled droplets during speech. Retrieved November 02, 2020, from https://advances.sciencemag.org/content/6/36/eabd3083
Home. (n.d.). Retrieved November 03, 2020, from https://cv.nmhealth.org/epidemiology-reports/
How Coronavirus Spreads. (2020, October 28). Retrieved November 02, 2020, from https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
When You Can be Around Others After You Had or Likely Had COVID-19. (2020, October 27). Retrieved November 03, 2020, from https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/end-home-isolation.html
Team Member:
Delsin Jaramillo
Sponsoring Teachers:
Abe Anderson
Creighton Edington
Team Members:
Sponsoring Teacher: Abraham Anderson