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Tobacco use and associated risk factors in Burkina Faso: results from a population-based cross-sectional survey.

Bruno Bonnechère | Kadari Cissé | Tiéba Millogo | Gautier H Ouédraogo | Franck Garanet | Mariam A Ouedraogo | Gabriela Boyle | Sékou Samadoulougou | Seni Kouanda | Fati Kirakoya-Samadoulougou
BMC public health | 2019

Tobacco is a leading preventable cause of non-communicable diseases (NCDs). Studies characterizing the prevalence of tobacco use in low-income countries are lacking. This study describes the prevalence of tobacco use in Burkina Faso and its associated factors.

Pubmed ID: 31694594

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STEPS (tool)

RRID:SCR_008742

STEPS is a package for exact stochastic simulation of reaction-diffusion systems in realistic, complex 3D geometries. Our core simulation algorithm is an efficient implementation of a variation on Gillespie''s SSA, extended to deal with diffusion of molecules over the elements of a 3D tetrahedral mesh. While it was mainly developed for simulating detailed models of neuronal signaling pathways in dendrites and around synapses, it is a general tool and can be used for studying any biochemical pathway in which spatial gradients and morphology are thought to play a role. We have implemented STEPS as a set of Python modules, which means STEPS users can use Python scripts to control all aspects of setting up the model, generating a mesh, controlling the simulation and generating and analyzing output. The core computational routines are still implemented as C/C++ extension modules for maximal speed of execution.

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