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Prediction of West Nile Positive Mosquito Pools with Pollution Incorporation
Country:United States of America
Student(s):Sarah Jano, Ayla Sumer, Gabrielle Longman
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Teacher:Cassie Soeffing
Contributors:Dr. Rusty Low, IGES, scientist
Peder Nelson, OSU, sme
Dr. Erika Podest, NASA JPL, scientist
Andrew Clark, IGES, EO Researcher and Data Analyst
Report Type(s):International Virtual Science Symposium Report, Mission Mosquito Report
Protocols:Earth As a System, Mosquitoes
Presentation Video:
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Presentation Poster:
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Optional Badges:I am a Collaborator, I make an Impact, I am a STEM Storyteller
Language(s):English
Date Submitted:01/25/2023
West Nile Virus is a significant issue in much of the world and this disease is primarily
transmitted through Culex Mosquitoes. Many people are uninformed on how pollution affects
mosquito density and outbreak likelihood in a region. Our group sought to study how air
pollution and air temperature affect mosquito density and inform the public of mosquito
prediction based on these two variables. Our proposed method is to construct a prediction model
that relies on pollution data to predict the density of West Nile Vectors, specifically Culex
Mosquitoes. We aim to understand how pollution affects mosquito density and focus on how we
can inform the public on vector density based on pollution data. Our goals are to accurately
predict the density of West Nile Vectors based on temperature and air quality levels and
temperature. We will focus our research on Dallas County, Texas and utilize Air Quality Index
Data from the Environmental Protection Agency (EPA) and Arbovirus Weekly Activity Reports
From Texas Department of State Health Services.