Predicting the Herd Immunity Threshold during an Outbreak
Author Information
Author(s): Georgette Nathan T.
Primary Institution: Allen D. Nease High School
Hypothesis
The study aims to develop a novel algorithm to predict the minimum vaccination coverage required to reduce infections during an outbreak.
Conclusion
The predictive algorithm for the ORIT effectively estimates the minimum number of vaccines needed to control an outbreak in real time.
Supporting Evidence
- The algorithm predicts the ORIT using data from two days prior.
- It was tested on actual measles outbreaks in the Republic of the Marshall Islands and Fiji.
- The study emphasizes cost-effectiveness in vaccination strategies for poorer nations.
Takeaway
This study created a tool that helps health agencies know how many vaccines they need to stop an outbreak before it gets worse.
Methodology
The study developed a recursive algorithm based on survey data from two consecutive days to predict the Outbreak Response Immunization Threshold (ORIT).
Limitations
The algorithm was tested on only two outbreaks, limiting its generalizability, and it assumes homogenous mixing of the population.
Digital Object Identifier (DOI)
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