ArticleHeliyon2024
An evolutionary game to describe doping dynamics.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this research is to delve deeply into the complex dynamics of doping in various sports disciplines, seeking to uncover the underlying mechanisms that contribute to its proliferation. Our approach involves employing ecological and biological models in conjunction with evolutionary game theory, an original aspect of this study. These models will be instrumental in simulating and understanding the intricate interactions and competitive strategies that drive athletes toward doping. The study seeks to propose effective and efficient policies and measures that can be implemented to combat the spread of doping and to identify innovative approaches that could be more effective at deterring athletes from doping, thereby ensuring a fair and level playing field in competitive sports.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.