Local Infrastructure and Economy Predicts Traffic Related Fatalities in Children
Topic overview
This epidemiological study examines how community-level factors—walkability indices, population density, school distribution, social vulnerability, and food access—predict pediatric motor vehicle fatality risk at the county level. Findings may inform targeted injury prevention strategies in high-risk communities.
Key takeaways
- Local infrastructure metrics (walkability, population density, school density) predict pediatric traffic fatality risk at the county level.
- Social Vulnerability Index and food area deprivation are associated with higher rates of child motor vehicle deaths.
- County-level environmental and economic factors may be more predictive than individual crash characteristics for prevention strategies.
- Communities with poor walkability infrastructure face elevated risk for pediatric traffic fatalities.
- Targeting high-risk counties identified by infrastructure and socioeconomic data could improve pediatric injury prevention efforts.
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How to cite: GlobalCastMD. Local Infrastructure and Economy Predicts Traffic Related Fatalities in Children. GlobalCastMD Medical Library. 2024-12-24. https://dev.library.globalcastmd.com/article/9564?via_space=staycurrentmd
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