Addition of mental health to the lady health worker curriculum in Pakistan: now or never.

The technical advisory group of the World Health Organization (Geneva, Switzerland) has suggested person-centered and community-based mental health services in response to the long-term and far-reaching mental health impacts of the COVID-19 pandemic. Task shifting is a pragmatic approach to tackle the mental health treatment gap in low- and middle-income countries. Pakistan is dismally resourced to address the mental health challenges. Pakistan's government has established a lady health worker's program (LHW-P) which can be effectively utilized to provide some basic mental health services at community doorsteps. However, lady health workers' current curriculum does not include mental health as a subject. WHO's Mental Health Gap Intervention Guide (mhGAP-IG) Version 2.0 for mental, neurological, and substance use disorders in non-specialist health settings can be adapted and utilized to be included as part of the LHW-P curriculum in Pakistan. Thus, the historical lack of access to mental health support workers, counsellors, and specialists can be addressed. Additionally, this will also help to reduce the stigma associated with seeking mental health care outside the boundaries of home, mostly at a huge cost.

Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics.

Healthcare Informatics is a phenomenon being talked about from the early 21st century in the era in which we are living. With evolution of new computing technologies huge amount of data in healthcare is produced opening several research areas. Managing the massiveness of this data is required while extracting knowledge for decision making is the main concern of today. For this task researchers are doing explorations in big data analytics, deep learning (advanced form of machine learning known as deep neural nets), predictive analytics and various other algorithms to bring innovation in healthcare. Through all these innovations happening it is not wrong to establish that disease prediction with anticipation of its cure is no longer unrealistic. First, Dengue Fever (DF) and then Covid-19 likewise are new outbreak in infectious lethal diseases and diagnosing at all stages is crucial to decrease mortality rate. In case of Diabetes, clinicians and experts are finding challenging the timely diagnosis and analyzing the chances of developing underlying diseases. In this paper, Louvain Mani-Hierarchical Fold Learning healthcare analytics, a hybrid deep learning technique is proposed for medical diagnostics and is tested and validated using real-time dataset of 104 instances of patients with dengue fever made available by Holy Family Hospital, Pakistan and 810 instances found for infectious diseases including prognosis of; Covid-19, SARS, ARDS, Pneumocystis, Streptococcus, Chlamydophila, Klebsiella, Legionella, Lipoid, etc. on GitHub. Louvain Mani-Hierarchical Fold Learning healthcare analytics showed maximum 0.952 correlations between two clusters with Spearman when applied on 240 instances extracted from comorbidities diagnostic data model derived from 15696 endocrine records of multiple visits of 100 patients identified by a unique ID. Accuracy for induced rules is evaluated by Laplace (Fig. 8) as 0.727, 0.701 and 0.203 for 41, 18 and 24 rules, respectively. Endocrine diagnostic data is made available by Shifa International Hospital, Islamabad, Pakistan. Our results show that in future this algorithm may be tested for diagnostics on healthcare big data.

Are sustainable firms more profitable during COVID-19? Recent global evidence of firms in developed and emerging economies

PurposeThis paper investigates whether sustainability performance (SP) protects financial performance (FP) for firms in both developed and emerging economies during the COVID-19-induced economic downturn.Design/methodology/approachUsing a recent sample of firms in 34 countries between 2003 and 2021, the authors employ ordinary least squares regressions, moderations and the Heckman two-step method to test the hypotheses.FindingsFirms with strong SP have higher FP in developed and emerging economies in the upcoming year. During the COVID-19 crisis in 2020–2021, the impact of sustainability on FP is pronounced in developed but not in emerging economies. Furthermore, cross-listings expose firms in emerging economies to high-standard institutional mechanisms in developed economies. Thus, sustainable firms in emerging economies cross-listed on European stock exchanges are more profitable.Practical implicationsFor regulators and standard setters, the global-level comparative analysis helps them find solutions that may assist firms in improving SP globally (e.g. mandatory reporting) and enduring crises resiliently. For institutional investors, the study reveals the relatively different impact of sustainability risk for firms in developed and emerging economies. For practitioners and private sector firms, this study contributes to the dialogue on what makes firms more resilient in COVID-19. Although COVID-19 might be temporary, the lessons learned could protect firms from future crises.Originality/valueThe authors contribute to the contingency perspective between sustainability and financial performance by providing recent empirical evidence in a global setting during the COVID-19 pandemic. The authors demonstrate how different external institutional mechanisms (rule-based governance and relation-based governance) and cross-listing affect the SP-FP relationship during a crisis. The authors extend the knowledge in crisis management literature with a comparative study and fill the research gap on how SP affects FP for firms in emerging economies compared to developed economies.

I am more inclined to buy online–novel social media engagement stimulated purchase intentions post-COVID-19: a case of Pakistani market

Purpose This study sheds light on the differential impact of social media brand engagement on two distinct types of purchase intentions, i.e. online and physical, in the special context of the post-COVID-19 situation in Pakistan. It has shed light on the factor (trust in online purchases during COVID-19) that has shaped the post-pandemic purchasing attitude. The above-stated association is unlocked based on the mediating role of brand equity. Design/methodology/approach The people who followed the social media pages of major sellers (apparel, grocery, food items and medical supplies) in Pakistan were included as the target population. A time-lagged web-based survey method was employed to collect primary data which generated 308 responses. Quantitative data were analyzed using SPSS 26.0. After checks for validity and reliability, mediation and moderation analysis were run by Hayes PROCESS model 4 and 14 respectively. Findings Results show that brand equity mediates the relationship of social media engagement with both online and physical purchase intentions. Further, results confirm that trust in online purchases during COVID-19 19 weakens the relationship of social media engagement with physical purchase intentions but strengthens with online purchase intentions. Originality/value This study attempts to unveil the moderation of trust in online purchases during COVID-19 on the relationship of social media engagement with online and physical purchase intentions through the mediation of brand equity.

Docking-based virtual screening and identification of potential COVID-19 main protease inhibitors from brown algae.

COVID-19 (SARS-CoV-2) is a viral disease that causes acute respiratory syndrome, which has increased the morbidity and mortality rate throughout the world. World Health Organization has declared this COVID-19 outbreak as pandemic and classified health emergency throughout the world. In the recent past, outbreaks of SARS and MERS have shown the interspecies transmission potential of coronaviruses and limitations of already prescribed drugs to overcome this global public health issue. Therefore, there is a dire need to identify a new regimen of targeted drugs from natural compounds having anti-COVID19 potential. This study aimed at screening 1018 brown algal natural compounds (many of them previously reported to have immunomodulatory effects) having probable anti-COVID19 potentials. The source compounds were extracted from MarinLit, a database dedicated to marine natural products and screened against COVID-19 main protease. The top seven compounds were further analysed, and their interactions with the active site were visualized. This study will further warrant screening the potent compounds against the virus in-vitro conditions.

Coronavirus and its terrifying inning around the globe: The pharmaceutical cares at the main frontline.

A novel coronavirus (2019-nCoV) is an acute life-threatening disease, emerged in China, which imposed a potentially immense toll in terms of public health emergency due to high infection rate and has a devastating economic impact that attracts the world's attention. After that, on January 30, 2020, it was officially declared as a global pandemic by World Health Organization (WHO). The International Committee on Taxonomy of Viruses (ICTV) recognized it as a Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) and the disease named Coronavirus Disease-19 (COVID-19). Several studies have been ameliorated the active role of COVID-19 transmission, etiology, pathogenicity, and mortality rate as serious impact on human life. The symptoms of this disease may include fever, fatigue, cough and some peoples are severely prone to gastrointestinal infection. The elderly and seriously affected peoples are likely concerned with serious outcomes. In this review, we mainly aimed to provide a benchmark summary of the silent characteristics and findings of some candidates for antiviral drugs and immunotherapies such as plasma therapy, cytokine therapy, antibodies, intravenous immunoglobulin, and pharmaceutical health concerns that are related to this disease.