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The prevalence of selected risk factors for non-communicable diseases in Hargeisa, Somaliland: a cross-sectional study.

Soheir H Ahmed | Haakon E Meyer | Marte K Kjøllesdal | Niki Marjerrison | Ibrahimu Mdala | Aung Soe Htet | Espen Bjertness | Ahmed A Madar
BMC public health | 2019

Non-communicable diseases (NCDs), particularly cardiovascular diseases, diabetes, respiratory conditions and cancers, are the most common causes of morbidity and mortality globally. Information on the prevalence estimates of NCD risk factors such as smoking, low fruit & vegetable intake, physical inactivity, raised blood pressure, overweight, obesity and abnormal blood lipid are scarce in Somaliland. The aim of this study was to determine the prevalence of these selected risk factors for NCDs among 20-69 year old women and men in Hargeisa, Somaliland.

Pubmed ID: 31272414

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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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