New Method Tracks Measles Vaccination Levels Using Clinic Data
Researchers at Penn State and the World Health Organization have developed a new method to estimate regional measles vaccination coverage levels using clinic data. This method can help guide public health interventions to prevent measles outbreaks, especially in regions with sparse survey data on vaccination levels.
Knowing how many people are vaccinated against threats is crucial for public health decisions. Researchers at Penn State and the World Health Organization have developed a method to estimate regional measles vaccination coverage levels without accurate data. The method uses routine clinic data to model vaccination coverage and guide interventions to prevent outbreaks.
The measles vaccine is effective but outbreaks still occur, causing over 100,000 deaths annually worldwide. Accurate vaccination information is essential but current sources are imperfect. Researchers use Demographic and Health Surveys (DHS) and administrative estimates, but both have limitations.
The new method by Penn State researchers combines clinic data to predict vaccination coverage levels. This approach provides a cost-effective and timely way to estimate vaccination coverage and inform public health policy.
According to the source: Technology Networks.
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