Author

Hadi Kharrazi

Johns Hopkins Center for Population Health IT

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Open access Sep 2026

Geospatial suicide risk prediction in the State of Maryland and the limits of discernible intent

Background. The rate of suicide death is known to be unequally distributed by geography and associated with multiple sociocultural and clinical risk factors. It is less clear whether the same patterns exist for deaths where the manner is undetermined, acknowledging that it is not always possible for a medical examiner...

C. Kitchen, A. Belouali, Ayah Zirikly et al. · Research Square · 1 citation

Aug 2026

Assessing the Utility of Social Determinants of Health Data in Suicide Prediction Models.

Within SDoH data, most individual level SDoH are among the most important risk factors associated with death by suicide, with improvement in model performance over just clinical and demographic information, and Geographic level SDoH appeared to have limited added value.

Matthew D Castner, C. Kitchen, Christelle Xiong et al. · Archives of Suicide Research · 0 citations