Unmanned Approach for Real Time Monitoring of People Wearing Mask in Pandemic Scenario

The most intelligent species of world, human being, is feared and being affected by the rapid spread of coronavirus (COVID-19). In this time of world level danger, World Health Organization (WHO) came up with few guidelines for protection against the speedy dispersion of coronavirus in human habitat. According to WHO, the most important step to be taken by everyone against COVID-19 is to wear a mask in their routine, whether it would be their home or office. But it is very difficult task to keep an eye people manually. Keeping this in mind, in this paper the emerging technologies in market like deep learning, machine learning and python is used for helping in this stage of country and make a automatic face mask detection that can be used in various public places to avoid spread of the virus. Also this can be integrated with CCTV camera companies for getting report of audience. Our model can detect mask in images as well as in real time video stream. Along with this it is also able to detect multiple facial masks in a single frame. It has wide number of applications in real world, this model can be used in public transport systems, malls, markets and other public areas for detecting face masks and giving alert over a certain limit. Even after everything comes back to normal, society will still use the mask and it became a basic need for us even to fight pollution and other harmful airborne diseases. Therefore, using the technologies and science advancement would be the best for unmanned approach of human health preventions. © 2021 IEEE.

Challenges of delivering reproductive health services to forced displaced populations

Background Of the 80 million forced displaced persons worldwide, women and children bear greater morbidity and mortality, especially in conflict-affected regions. This is due to disruption in health service provision, breakdown of social institutions and increase in sexual and gender-based violence. Reproductive health (RH) service delivery as part of humanitarian health cluster services is outlined in the Minimum Initial Service Package (MISP). This study explores the challenges of delivering RH services to forced-displaced populations, focussing on field level stakeholders in humanitarian settings. Methods Qualitative semi-structured interviews were conducted with stakeholders from non-governmental and United Nations agencies involved in delivering RH services to conflict-affected populations. Additionally, a scoping review, using the Arksey and O'Malley framework, of the literature was also conducted reviewing challenges of delivering RH programmes to women in forced displaced populations. An inductive and deductive thematic approach was used in data analysis. Results Eleven key informants (KIs) were interviewed from six conflict-affected countries including Syria, Afghanistan and Libya. Main emerging themes were: 1. Poor awareness of international guidelines (including the MISP) 2. Service provision barriers including lack of human resources 3. Attitudes towards SRH and women's rights 4. Disruption of health services due to COVID-19. Conclusions This study has highlighted the main challenges that the humanitarian actors delivering RH programmes in conflict-affected settings face. Implementation of international guidelines remains a key barrier. Key policy recommendations would be to standardise training for all RH providers, prioritise training in the MISP and address cultural attitudes towards RH. Further research exploring the use of WHO's essential medicines for RH and the long-term impact of COVID-19 on forced displaced females needs to be conducted. Key messages Providing basic essential reproductive health services to conflict affected populations remains a challenge, including implementation of standardised international guidance through the MISP. One key policy recommendation would be to prioritise training in MISP for conflict-affected humanitarian settings to ensure it is offered as part of the essential package.

The Indirect Implication of SARS-CoV-2 Resulting in Kayexalate Toxicity in a Patient with Acute Kidney Injury

The clinical features of corona virus disease 2019 (COVID-19) are variable, but the majority of patients experience mild flu-like symptoms. The cases of severe disease include complications such as progressive pneumonia, acute kidney injury (AKI), multi-organ failure, and even death. This paper explores the association between COVID-19 and its effect on multiple organ systems and how the subsequent treatment of this disease can itself lead to morbidity and mortality. We present a case that emphasizes the life-Threatening gastrointestinal complications associated with the treatment of AKI in a patient with COVID-19. We conclude that the patients whose treatment regimens utilize medical resins should be closely monitored for gastrointestinal complications so as to mitigate the known adverse effects associated with these drugs, such as colonic mucosal ulceration, perforation, or even death.