This paper concludes that the SIVESNU (Sistema de Vigilancia Epidemiológica de Salud y Nutrición) surveillance platform is a critical tool for government and partners, addresses key data gaps, and provides high-quality data used to monitor and improve public health in Guatemala.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the evolution of chronic viral hepatitis from fibrosis, to cirrhosis, and to hepatocellular carcinoma.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the role of the IFITM1 protein in the hepatitis dynamics, obtaining the clearance state when overexpressed.
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.
