615. Utilizing Susceptible-Infected-Recovered (SIR) Modeling in Colorado Schools and Childcare Facilities to Identify Schools Most Susceptible to Measles Outbreaks
Paul G Mitchell, Rachel L Schade, Jessica R Cataldi, Carl Amon, James Todd, Edwin J Asturias

TL;DR
This study uses SIR modeling to identify Colorado schools and childcare centers most at risk for measles outbreaks, showing that even well-vaccinated areas can experience large outbreaks.
Contribution
The novel use of school-specific immunization data with SIR modeling reveals detailed outbreak risks at the facility and regional levels in Colorado.
Findings
Childcare centers experience larger and faster measles outbreaks than K-12 schools.
Private K-12 schools are at higher risk due to higher vaccine exemption rates.
Large outbreaks can occur in well-vaccinated regions like Denver, showing limitations of aggregated vaccination data.
Abstract
Pockets of unvaccinated communities leave children vulnerable, even in areas with overall high vaccination rates. Schools are one of the most susceptible environments for measles outbreaks. This study used 2023-2024 Colorado School & Child Care Immunization Data to predict potential measles outbreaks in schools, providing actionable information to guide prevention and mitigation strategies.Figure 1:SIR Epidemic Curves of Proportion of Facility Population Infected by Day of Outbreak, Stratified by Type of FacilityTable 1:MMR Up-To-Date Rates and Proportion of Children Infected at Each School, Stratified by Type of School SIR Epidemic Curves of Proportion of Facility Population Infected by Day of Outbreak, Stratified by Type of Facility MMR Up-To-Date Rates and Proportion of Children Infected at Each School, Stratified by Type of School School-level immunization data was drawn from…
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Taxonomy
TopicsVirology and Viral Diseases · Vaccine Coverage and Hesitancy · COVID-19 epidemiological studies
