Micro-simulation of a smallpox outbreak using official register data
Eurosurveillance·
- DOI
- 10.2807/ese.15.35.19651-en
- PMID
- —
- PMCID
- —
- OpenAlex
- W2097259659
- Study type
- Journal article
- Publisher
- European Centre for Disease Control and Prevention (ECDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings provide a model-based comparison of vaccination strategies for controlling a simulated smallpox outbreak and may inform analysis of vaccination policy in comparable modeled settings. The abstract does not establish effectiveness in actual outbreaks or surveillance data.
Structured evidence summary
Research question
The study examined how four vaccination strategies might perform in controlling simulated smallpox outbreaks in Sweden.
Study design
This was a spatially explicit microsimulation using a social mixing network constructed from Swedish population, employment, and geographic register data. The analysis compared ring, targeted, mass, and healthcare-worker pre-vaccination combined with ring vaccination.
Population and setting
The simulated setting was Sweden, with the network based on high-coverage official register data representing the Swedish population, employment relationships, and geographic information.
Main findings
The greatest reduction in simulated infections occurred when pre-vaccinating healthcare personnel was combined with ring vaccination. Ring vaccination had the highest effectiveness per vaccine dose among the strategies evaluated.
Public-health relevance
The findings provide a model-based comparison of vaccination strategies for controlling a simulated smallpox outbreak and may inform analysis of vaccination policy in comparable modeled settings. The abstract does not establish effectiveness in actual outbreaks or surveillance data.
Important limitations
The reported results come from a simulation based on Swedish register-derived network data rather than observed outbreak outcomes. The abstract states that adaptation to other diseases, environments, or countries is possible only to some extent. Interpretation is also limited to the supplied single-article abstract and metadata; the original paper is required for decision-grade assessment.
GIDS interpretation
The article is discoverable in a Sweden-focused, peer-reviewed infectious-disease evidence context involving smallpox, vaccination, outbreak investigation, surveillance, and transmission modeling. It should be treated as model-based contextual evidence and not as confirmation of a live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 14 auditable classifier relationships to diseases, places, topics, and study design.