Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 189-208
This research has some implications for the research community. First, an implication from our result is that there is an inverse relationship between change in mobility and COVID- 19 variables. Second, it can be observed that the implementation of stringent policy measures on different forms of mobility helped in reducing the impact of the COVID-19 pandemic; however, with the increased stringency index, there was an adverse impact on people's mental health around the globe.
Elsevier,
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 1-51
This chapter provides a systematic review of the current literature investigating COVID-19's impact on mental well-being, as well as studies that explore machine learning and artificial intelligence techniques to detect and treat mental illnesses when traditional therapies are unavailable due to lockdown and social distancing norms imposed.
Elsevier,
Indigenous People and Nature, Insights for Social, Ecological, and Technological Sustainability, 2022, Pages 199-216
The indigenous peoples make a lasting impact on the society and people through their activities such as protection of the ecosystem, agriculture, and the maintenance of ethnic origin; these people are faced with many risks regarding health, sanitation, water, climate change, and pandemic. The chapter aims to determine the integration of the indigenous population into society and the functions of social work in this regard.
Elsevier,
Indigenous People and Nature, Insights for Social, Ecological, and Technological Sustainability, 2022, Pages 3-27
This chapter provides a comprehensive strategy to assess ecological systems’ involvement in indigenous wellbeing, signifying how natural systems are intertwined with people’s communal, economic, and cultural environments, along with their skills.
Elsevier,
Indigenous People and Nature, Insights for Social, Ecological, and Technological Sustainability, 2022, Pages 171-197
Understanding livelihood vulnerability to hydrometeorological hazards is a crucial challenge for policymakers to create a clear foundation for vulnerable coastal residents. Using microlevel livelihood vulnerability research employing LVI and Socioeconomic Vulnerability Index, this chapter measures the magnitude of indigenous peoples' vulnerability to the detrimental consequences of hydrometeorological hazards on socioeconomic conditions.
Elsevier,
Managing Treatment-Resistant Depression
Road to Novel Therapeutics
2022, Pages 205-219
This chapter briefly reviews the history of ketamine, explores proposed mechanisms of action, outlines data pertaining to efficacy and safety, and considers “real-world” usage and the challenges to implementation.
