Research finding · April 2025
The number of emergency department visits for suicidal thoughts and behaviors varied by geography during COVID-19
The COVID-19 pandemic has had profound effects on mental health, with increases in depression, anxiety, and suicidal thoughts and behaviors reported worldwide. While overall suicide rates showed mixed trends during the pandemic, certain communities may have experienced a disproportionate mental health burden. Identifying geographic clusters of depression and suicide-related emergency department (ED) visits can provide insight into the regions most affected and guide targeted interventions. However, little research has examined the spatial and temporal patterns of these mental health crises before and during the pandemic. Understanding these shifts is crucial for addressing disparities and improving access to mental health care in vulnerable areas.
With her AFSP-funded grant, Dr. Maragaret Sugg analyzed ED visit data from North Carolina between 2017 and 2021, identifying geographic clusters of depression and suicide-related outcomes before and during the pandemic. She found that the mental health burden remained high, with rural communities experiencing the largest increases in the co-occurrence of depression and suicide-related ED visits during the pandemic. While urban areas continued to have persistent mental health clusters, new rural clusters emerged, particularly in western North Carolina. These findings highlight the need for sustained and geographically targeted mental health interventions, especially in rural regions that may face barriers to care. Addressing these disparities through improved access to crisis support and community-based mental health services could help mitigate the long-term impact of the pandemic on suicide risk.
Citation: Ryan, S. C., Desjardins, M. R., Runkle, J. D., Wertis, L., & Sugg, M. M. (2023). Evaluating co-occurring space-time clusters of depression and suicide-related outcomes before and during the COVID-19 pandemic. Spatial and spatio-temporal epidemiology, 47, 100607. https://doi.org/10.1016/j.sste.2023.100607
This finding comes from an AFSP-funded study — see the grant below ↓