Subscribe to Tendercast, Data Science Statistics, Data Preparation, Machine Learning with Python courses to receive complimentary 4-hour 1:1 use case support

COVID and Mental Health

Mental health, substance use, and suicidal ideation increases during the COVID-19 pandemic.

40% of U.S. adults reported struggling with mental health or substance use during COVID pandemic.


Younger adults, racial/ethnic minorities, essential workers, and unpaid adult caregivers reported having experienced disproportionately worse mental health outcomes, increased substance use, and elevated suicidal ideation.

Recommendation:  public health response to the COVID-19 pandemic should increase intervention and prevention efforts to address associated mental health conditions.

Analytics for Living’s Machine Learning & Artificial Intelligence algorithms and syndicated tools can identify at risk populations. 

Syndicated tools identify subnational geographic areas of concern among priority population segments; young adults, racial/ethnic minorities, essential workers and unpaid adult caregivers.  

Integrating syndicated Analytics-for-Livings ML/AI tools with public, community, educational, employer, health system(s) and corporation data enables prioritization within subsets of the populations and persons at risk

Reference:  Mental Health, Substance Use, and Suicidal Ideation During the COVID-19 Pandemic — United States, June 24–30, 2020.  Weekly / August 14, 2020 / 69(32);1049–1057.