The black swan event caused by the novel coronavirus (COVID-19) has majorly exposed the vulnerabilities of the supply chain of many of the firms. However, healthcare sector is one of the significant areas which majorly got disrupted during this pandemic event. The majority of the studies focus on the reviews on supply chain disruption modelling to analyse the risk and their effect on supply chains. This study provides a systemic literature review of various supply chain disruption models in the healthcare sector, analyses them based on different parameters identified from the literature. Some of our key findings include (1) analysis of quantitative and analytical modelling approaches used for dealing with disruption in healthcare sector; (2) managerial implications that derive potential future research avenues and insights for practitioners in the domain of healthcare supply chain disruption in post-pandemic era to improve international competitiveness and operational excellence.

The COVID-19 pandemic has result in unprecedented challenges for the manufacturing and service sectors. Further, it has also tremendously affected the global healthcare sector, which is seen in the surge of demand in personal protective equipment, ventilators, masks, medicines, etc. Furthermore, according to Menear (2020), the world population is projected to be at least 8.5 billion people by 2050, including a much higher elderly population. This calls for an urgent, critical evaluation and upgrade of the healthcare sector. In this regard, an implementation of Industry 4.0 (I4.0) technologies is proposed to fulfill the sector’s current and future needs. A detailed and systematic review has been conducted using PRISMA, which highlights the various I4.0 technologies for the early detection, control, and management of the healthcare supply chain. Finally, it is imperative that I4.0 be properly implemented for better management of the global healthcare sector. The study also highlights policy implications for stakeholders.

Background: Lockdown measures are being implemented in several parts of the world to control the spread of novel coronavirus. This unprecedented crisis has significantly affected the lives of people in different ways. Aim: To understand the experiences and vulnerability to mental health problems during lockdown among the Indian population during COVID-19 pandemic. Materials and Methods: A cross-sectional study was conducted using an online survey form circulated through various social media platforms from April 12 to May 3, 2020 containing self-reported questionnaires to collect lockdown related experiences and scales to assess anxiety (GAD-7) and depression (PHQ-9). A convenience sampling method was used. Results: 442 valid responses were received from different states of India. Statistical analysis revealed that one-third of the respondents suffered from some form of anxiety and depression during a lockdown. Less than 10% of them had severe levels of symptoms. The majority were males aged 18-45 years and private sector employees. Delivering essential services was involved with significant anxiety and depression. Availability of food and daily essentials was the most common problem. Difficulty in availing medicines and financial crisis were significant predictors of anxiety and depression. Worsening of interpersonal relationships was associated with higher levels of anxiety and depression. Conclusions: The study concluded that experiences during the lockdown and associated psychological outcomes are important factors to consider and appropriate preventive measures to be taken in case of any future lockdowns.