Is Nuclear Power Generation a Viable Alternative to the Energy Needs of Pakistan? SWOT-RII Analysis

Pakistan has faced a severe energy crisis for the last two decades. With the considerable power generation expansion, the country still faces power outages with an unsustainable energy mix. Successive energy policies emphasized thermal power deployment which has proved to be a part of the problem. Therefore, the present study has attempted to evaluate and investigate the prospects of nuclear power as a viable alternative in terms of energy security, reliability, and environmental sustainability with the SWOT tool. To further quantify the main drivers and barriers of nuclear energy, a Relative Importance Index (RII) analysis has been done. The results reveal that Pakistan has decades of experience running nuclear power plants satisfactorily. The regulatory framework for nuclear power generation is adequate to expand nuclear power generation. The opportunities are enormous to meet Sustainable Development Goal (SDG), as nuclear is a carbon-free source of energy. The main barriers are global suspicion of nuclear proliferation and less social acceptance.Keywords: SWOT, Delphi, RII Analysis, Nuclear Power GenerationJEL Classifications: P4, Q4DOI: https://doi.org/10.32479/ijeep.11122</p

ASSESSMENT OF AIR POLLUTION CAUSED BY THERMAL POWER PLANT OF PAKISTAN STEEL

The aim of this study is to assess and analyse the. exhaust flue gases coming out from the chimney of Thermal Power Plant, and its effects on workers, vegetation and on the local environment. As there is no monitoring facility at source for the determination of toxic gases like S02 and NO2 therefore, ambient and work place diurnal monitoring was done for nine months regularly. The handy toximeters provided by Environment Protection Department of Pakistan Steel were used. At source only CO2, CO, H2, 02 and N2 were possible to be analysed and CO2 was considered as an indicator of burning efficiency.This paper presents the systematic and detailed analysis of toxic flue gases, their comparison with national and international standards, their effects on workers, vegetation and on the local environment

Current Challenges of Digital Health Interventions in Pakistan: Mixed Methods Analysis

Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Objective: The objective of this study is to identify the current digital health projects and studies being carried out in Pakistan, as well as the key stakeholders involved in these initiatives. We aim to follow a mixed-methods strategy and to evaluate these projects and studies through a strengths, weaknesses, opportunities, and threats (SWOT) analysis to identify the internal and external factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Methods: This study aims to evaluate digital health projects carried out in the last 5 years in Pakistan with mixed methods. The qualitative and quantitative data obtained from field surveys were categorized according to the World Health Organization’s (WHO) recommended building blocks for health systems research, and the data were analyzed using a SWOT analysis strategy. Results: Of the digital health projects carried out in the last 5 years in Pakistan, 51 are studied. Of these projects, 46% (23/51) used technology for conducting research, 30% (15/51) used technology for implementation, and 12% (6/51) used technology for app development. The health domains targeted were general health (23/51, 46%), immunization (13/51, 26%), and diagnostics (5/51, 10%). Smartphones and devices were used in 55% (28/51) of the interventions, and 59% (30/51) of projects included plans for scaling up. Artificial intelligence (AI) or machine learning (ML) was used in 31% (16/51) of projects, and 74% (38/51) of interventions were being evaluated. The barriers faced by developers during the implementation phase included the populations’ inability to use the technology or mobile phones in 21% (11/51) of projects, costs in 16% (8/51) of projects, and privacy concerns in 12% (6/51) of projects

An Artificial Intelligence–Based, Personalized Smartphone App to Improve Childhood Immunization Coverage and Timelines Among Children in Pakistan: Protocol for a Randomized Controlled Trial

Background: The immunization uptake rates in Pakistan are much lower than desired. Major reasons include lack of awareness, parental forgetfulness regarding schedules, and misinformation regarding vaccines. In light of the COVID-19 pandemic and distancing measures, routine childhood immunization (RCI) coverage has been adversely affected, as caregivers avoid tertiary care hospitals or primary health centers. Innovative and cost-effective measures must be taken to understand and deal with the issue of low immunization rates. However, only a few smartphone-based interventions have been carried out in low- and middle-income countries (LMICs) to improve RCI. Objective: The primary objectives of this study are to evaluate whether a personalized mobile app can improve children’s on-time visits at 10 and 14 weeks of age for RCI as compared with standard care and to determine whether an artificial intelligence model can be incorporated into the app. Secondary objectives are to determine the perceptions and attitudes of caregivers regarding childhood vaccinations and to understand the factors that might influence the effect of a mobile phone–based app on vaccination improvement. Methods: A mixed methods randomized controlled trial was designed with intervention and control arms. The study will be conducted at the Aga Khan University Hospital vaccination center. Caregivers of newborns or infants visiting the center for their children’s 6-week vaccination will be recruited. The intervention arm will have access to a smartphone app with text, voice, video, and pictorial messages regarding RCI. This app will be developed based on the findings of the pretrial qualitative component of the study, in addition to no-show study findings, which will explore caregivers’ perceptions about RCI and a mobile phone–based app in improving RCI coverage. Results: Pretrial qualitative in-depth interviews were conducted in February 2020. Enrollment of study participants for the randomized controlled trial is in process. Study exit interviews will be conducted at the 14-week immunization visits, provided the caregivers visit the immunization facility at that time, or over the phone when the children are 18 weeks of age. Conclusions: This study will generate useful insights into the feasibility, acceptability, and usability of an Android-based smartphone app for improving RCI in Pakistan and in LMICs