Vaccination Scheduling Model Results for Influenza Outbreak Control

4,193 children and 11,528 vaccine doses from Nanshan District CDC, Shenzhen were used to validate a mathematical optimization model for vaccination scheduling. The model, developed by Xiaochen Ma and last updated in May 2026, integrates an SEIAR influenza transmission framework. It reduced peak infections by 80.6% and maintained 100% coverage for routine vaccinations.

Use Cases

• Optimizing daily service capacity allocation based on the determined threshold of 49 individuals per day.
• Balancing routine and emergency vaccination demands using the integrated SEIAR transmission framework.
• Reducing daily vaccination variance for more predictable resource planning, based on the reported 91.7% reduction.
• Simulating epidemic control scenarios by incorporating vaccination compliance and dynamic capacity adjustments.

Strengths

• Model validation uses a concrete dataset of 4,193 children and 11,528 vaccine doses.
• Results show specific performance metrics: an 80.6% reduction in peak infections and a 91.7% reduction in daily vaccination variance.
• The model maintained 100% coverage for routine Category I vaccinations.

Limitations

• The dataset's row count and specific column structure are unknown, limiting detailed assessment.
• The primary data file is an 84.2 KB PDF, which likely contains summarized results rather than raw, granular data.
• Geographic coverage is limited to a single district (Nanshan District, Shenzhen).

Provenance

Source

Xiaochen Ma via figshare.

Collection Method

Model validation employed vaccination data from Nanshan District CDC, Shenzhen and an influenza outbreak at a local secondary school.

Freshness

Last updated 2026-05-07 05:43:01

Geography

Nanshan District, Shenzhen, China.