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What is the best tobacco control policy in Tuscany? An assessment using uncertainty analysis

Alessio Lachi et al.

Tobacco Control2026https://doi.org/10.1136/tc-2025-059596article
ABDC B
Weight
0.50

What the paper says

The approach shows promise for identifying key sources of uncertainty and guiding public health strategies. Although uncertainty limits the precise quantification of future dynamics and impacts, the TCP1 is likely to exert the strongest long-term effect on reducing smoking prevalence, while cessation interventions remain essential for achieving short-term reductions in smoking-attributable mortality.

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https://doi.org/https://doi.org/10.1136/tc-2025-059596

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@article{alessio2026,
  title        = {{What is the best tobacco control policy in Tuscany? An assessment using uncertainty analysis}},
  author       = {Alessio Lachi et al.},
  journal      = {Tobacco Control},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1136/tc-2025-059596},
}

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What is the best tobacco control policy in Tuscany? An assessment using uncertainty analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.