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<p>Epidemics or pandemics, like the current COVID-19 outbreak, present special obstacles to society. Leaders in several nations implemented policies that restricted social connections as a proactive attempt to stop the virus’s spread. They intended to harness the power of social isolation as a strategy to mitigate the rapid increase in infections, effectively curving the trajectory of contamination. Shifts in societal conventions over this period have indirectly impacted the mental well-being of individuals. The United Nations (UN) prioritizes mental health, aiming to reduce premature mortality from non-communicable diseases by 2030. During the second wave of the COVID-19 epidemic, many people experienced significant life upheavals, including managing the death of family members, dealing with unstable employment, and managing elevated levels of emotional and financial stress. Owing to these circumstances, a sizeable portion of the populace has struggled with mental health conditions like anxiety, depression symptoms, PTSD, and mood disorders. In the past, pandemics or epidemics have had indirect consequences on mental health, leaving a sizable share of depressed people unidentified and untreated. Less is known about how emotion control affects distressed people’s feelings during and after the pandemic. By performing a thorough analysis of the existing literature, the main goal of this study is to identify developments, limitations, obstacles, and possible directions for future research in the field of diagnosing depression and anxiety during and after the COVID-19 pandemic. A comprehensive analysis included sixty-six current research that focused on identifying mental health problems related to the epidemic. The selection criteria included studies that used psychological tools, such self-questionnaires, to detect a range of mental health conditions. The groundwork for tackling one key issue—the length of depression and anxiety symptoms—is laid forth by this systematic literature analysis’s understanding of the landscape of pandemic-related mental health disorders. This understanding can greatly aid in developing focused prevention initiatives, which will ultimately lessen the burden of these disorders.</p>

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COVID-19-Induced Depression and Anxiety Detection: A Systematic Literature Review of Machine Learning and Deep Learning Techniques

  • 期刊论文

  • 发表日期：

    2025年10月21日

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  • Priyanka Arora,
  • Sonika Dahiya

摘要

Epidemics or pandemics, like the current COVID-19 outbreak, present special obstacles to society. Leaders in several nations implemented policies that restricted social connections as a proactive attempt to stop the virus’s spread. They intended to harness the power of social isolation as a strategy to mitigate the rapid increase in infections, effectively curving the trajectory of contamination. Shifts in societal conventions over this period have indirectly impacted the mental well-being of individuals. The United Nations (UN) prioritizes mental health, aiming to reduce premature mortality from non-communicable diseases by 2030. During the second wave of the COVID-19 epidemic, many people experienced significant life upheavals, including managing the death of family members, dealing with unstable employment, and managing elevated levels of emotional and financial stress. Owing to these circumstances, a sizeable portion of the populace has struggled with mental health conditions like anxiety, depression symptoms, PTSD, and mood disorders. In the past, pandemics or epidemics have had indirect consequences on mental health, leaving a sizable share of depressed people unidentified and untreated. Less is known about how emotion control affects distressed people’s feelings during and after the pandemic. By performing a thorough analysis of the existing literature, the main goal of this study is to identify developments, limitations, obstacles, and possible directions for future research in the field of diagnosing depression and anxiety during and after the COVID-19 pandemic. A comprehensive analysis included sixty-six current research that focused on identifying mental health problems related to the epidemic. The selection criteria included studies that used psychological tools, such self-questionnaires, to detect a range of mental health conditions. The groundwork for tackling one key issue—the length of depression and anxiety symptoms—is laid forth by this systematic literature analysis’s understanding of the landscape of pandemic-related mental health disorders. This understanding can greatly aid in developing focused prevention initiatives, which will ultimately lessen the burden of these disorders.