The integration of digital technology into healthcare systems holds promise for improving services in developing countries, especially in remote and underserved regions. However, different types of challenges can impede the implementation and sustainability of digital health initiatives....

The growing relevance that the Internet has taken on the development of people, businesses, and the digital economy, as well as its influence in achieving the United Nations Sustainable Development Goals, has motivated States to generate different regulatory frameworks to ensure the proper...

Critics protest loudly against restrictions imposed by politicians during the COVID-19 pandemic in Germany: Mandatory masks, lockdowns, school and business closures. This paper examines (1) the extent to which these policies have indirectly contributed to limiting the number of COVID-19 cases...

Women appear to take sick leave at a higher rate and for longer periods than men. However, the reasons for these differences are poorly understood. This study starts by outlining several channels (biological, psychological, socio-economic, and occupational) that may drive this gender gap. We...

The growing relevance that the Internet has taken on the development of people, businesses, and the digital economy, as well as its influence in achieving the United Nations Sustainable Development Goals, has motivated States to generate different regulatory frameworks to ensure the proper...

The integration of digital technology into healthcare systems holds promise for improving services in developing countries, especially in remote and underserved regions. However, different types of challenges can impede the implementation and sustainability of digital health initiatives....

The COVID-19 pandemic has accelerated the adoption of digital health (DH) interventions in the Asia Pacific. This is evidenced in the 2022 Global Digital Health Monitor, with 58% of ESCAP members scoring 4 or higher, countries like Australia, Malaysia, PR China, and Thailand lead in DH...

Exploiting future exposure to job termination in the UK, this paper finds that sharply increased job loss expectations before job termination significantly increase mental distress. This anticipation effect is largest in tight labor markets but does not spill over within couples. In contrast,...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...