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Introduction: “Street children” is a term used to describe those kids who live and work in streets. Children are exposed to several hazards and catastrophe which lead them to vulnerable and pessimistic experiences. Their daily life and poor quality of life uncover them to various threats that makes them victims for drug trafficking, prostitution, organ trade and slavery. Material & Methods: A cross sectional study was conducted in Etawah city from May 2017 to Oct 2018. Street children aged 13-18 years, who live and/or work on streets of Etawah. Street children were looked for at identified hotspots of street children in Etawah city like market places, railway station, stalls/dhabas/hotels etc. and they were selected for the study by Snowball sampling. Information was extracted from face to face interview using pre-structured questionnaire. Results: Study enrolled 145 street children, 35% haven’t attended school, 30% leave away from family. Street level vending, working in dhabas and mechanic assistant were common professions. Working children had poor quality of life. Conclusion: More than four fifth of the street children were working for their survival, street level vending, working in dhabas were common occupations involved. Quality of life was poor among working street children.

The purpose of this paper is to examine the impact of Benevolence, Integrity, and Ability on trust in supervisors in Karachi, Pakistan. To perform this research, a quantitative study was conducted and a structured questionnaire was designed and distributed among the 300 employees in the manufacturing industry. The findings of this research are to discover the relationship between benevolence, integrity, and the ability to trust a supervisor. This is academic research and is conducted in Karachi, Pakistan. This research is done to find out the trustworthiness attribute that is most important and effective to predict employee trust in the supervisor. Supervisors should have trustworthiness attributes such as benevolence, integrity, and the ability to gain employees’ trust and decrease the anxiety and avoidance of employees at work.

Background: COVID-19 ongoing pandemic has proved beyond doubt that all countries in the world from high income to low- and middle-income countries were unprepared with under-diagnosed and underreported losses of precious human lives on already overstretched healthcare delivery infrastructure. Thus, the urgent need of the hour is to understand and identify the operational issues and challenges encountered in the sample collection process and also at the testing labs in order to respond at the earliest. This early and effective response will help not only to address the identified issues in the whole chain of sample collecting to test result communication but also it will help to improve the functioning of the entire system involved in this process. Objectives: The present study was undertaken to identify the issues faced during various steps involved in laboratory testing as part of the COVID-19 control activities in selected remote districts of North East and East India. Further, perceived adequacy of human resources, equipment, diagnostic kits, and other essential consumables including PPEs vis-a-vis the load of samples received from the catchment areas of the testing laboratories were also explored. Methods: The study was a qualitative research using in-depth interview method to collect and collate the data from the chain of personnel involved in sample collection, storage, transportation, and testing by recorded telephonic interview by state-level collaborators as per the study protocol. The respondents were recruited from randomly selected sites of remote districts for sample collection, storage, transportation, and dedicated testing labs in six states of North East and Eastern India. The study findings were analyzed by two-dimensional scaling and hierarchical cluster analysis to get the collective picture involving transcription, preliminary data scrutiny, content analysis, and interpretation of the verbal IDI; classified and summarized by triangulation; free listing and pile sorting of suggestions. Results: The entire laboratory testing related human resources has been working on war-footing round-the-clock to fulfil the expectation of the stakeholders and maintaining high quality despite the ever-increasing load of sample testing in both the public and private sectors. The findings indicated that the healthcare workers from all levels of laboratory diagnosis have taken it as a challenge to control the pandemic even with limitations of logistics to capacity building. Positive suggestions to improve laboratory services were to increase human resources, infrastructure, IT with the robust mechanism of monitoring and supervision. Conclusions: Upgradation of laboratory capacities and expertise in public health has become one of the points of concern to contain the COVID-19 pandemic of the new millennium.

This study examined the effect of population, energy consumption, economic development on environment degradation in the context of ASEAN countries. For this purpose, the study used the panel data of nine ASEAN countries (Indonesia, Singapore, Malaysia, Brunei, Philippines, Cambodia, Thailand, Myanmar, and Vietnam) from 1995 to 2018 with the help of the World Development Indicators (WDI) dataset. Panel FMOLS and Panel ARDL methodology are used to examine the econometric model. ARDL results show that economic growth increases the emission of carbon dioxide which means economic development makes the environment unhealthy, moreover it confirmed the validity of the EKC hypothesis for ASEAN countries. There is a long-term positive impact of GDP and the consumption of energy on CO2 emission. In contrast, the impact of population growth is significant on the per capita emission of carbon dioxide. However, the emission of carbon dioxide hurts economic growth in the long run. Consequently, emission of carbon dioxide can be reduced, and economic growth can be sustainable by using low carbon emission technologies such as renewable energy.