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Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System
Published on: March 10, 2026
County, district and community-level measles transmission in the United States in 2013-2025
1Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Abstract:
The United States declared measles eliminated in 2000. In 2025-2026, more than 3,500 cases have placed that status under formal review. Vaccine hesitancy, accelerated by COVID-19 disruption and misinformation, has eroded the immunological buffers sustaining elimination. Current surveillance compounds this threat: county-level vaccination aggregates structurally obscure the fine-scale susceptibility clustering where outbreaks originate. We assembled a nationwide multiscale vaccination database spanning 45 US states and Washington, DC (2013-2025), encompassing over 50,000 schools, 13,000 districts and 3,000 counties, and developed a transmission model to quantify epidemic risk across different spatial scales. School-level effective reproduction numbers crossed the epidemic threshold in 2022-2023, a transition invisible to aggregated surveillance. Average susceptibility doubled from approximately 5% to 10% following the pandemic. We also show that county boundary misalignment creates cross-boundary corridors that push well-vaccinated counties above threshold through spillover from less-vaccinated populations. State trajectories diverge markedly, shaped by exemption policies and vaccination infrastructure. The spatial architecture of US measles vulnerability has fundamentally shifted: transmission potential is supercritical in schools but invisible at the scale monitored by surveillance. Preventing measles re-endemicity requires surveillance and interventions operating at school and district levels, where imported cases can be intercepted before igniting sustained transmission.
Insights
Measles elimination is at risk due to vaccine hesitancy and flawed surveillance. Outbreaks now originate at the school level, invisible to current county-level monitoring, highlighting the need for localized interventions to prevent re-endemicity.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Modeling
Background:
- The United States declared measles eliminated in 2000, but over 3,500 cases in 2025-2026 have triggered a formal review of this status.
- Vaccine hesitancy, exacerbated by COVID-19 disruptions and misinformation, has weakened herd immunity, increasing measles vulnerability.
- Current surveillance methods aggregate data at the county level, obscuring localized susceptibility clusters where outbreaks begin.
Purpose of the Study:
- To assess the current spatial architecture of measles vulnerability in the US.
- To quantify epidemic risk across multiple spatial scales.
- To evaluate the effectiveness of current surveillance methods in detecting measles resurgence.
Main Methods:
- Assembled a nationwide multiscale vaccination database (2013-2025) covering 45 states and DC, including over 50,000 schools, 13,000 districts, and 3,000 counties.
- Developed a transmission model to quantify epidemic risk at various spatial scales.
- Analyzed school-level and county-level vaccination data and effective reproduction numbers.
Main Results:
- Average population susceptibility to measles doubled from approximately 5% to 10% post-pandemic.
- School-level effective reproduction numbers surpassed the epidemic threshold in 2022-2023, a critical rise undetected by aggregated surveillance.
- County boundary misalignment was shown to facilitate disease spillover from less-vaccinated to well-vaccinated areas, increasing overall risk.
Conclusions:
- The spatial dynamics of US measles vulnerability have shifted, with transmission potential now supercritical at the school level but undetectable by current surveillance.
- Preventing measles re-endemicity necessitates a shift towards school and district-level surveillance and targeted interventions to intercept imported cases early.
- State-level outcomes are significantly influenced by vaccination exemption policies and the robustness of local vaccination infrastructure.
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