health crisis
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10.1142/q0318 ◽  
2022 ◽  
Author(s):  
Sabri Boubaker ◽  
Duc Khuong Nguyen
Keyword(s):  

Author(s):  
Rachid Id Yassine ◽  
Beatriz Mesa

This chapter bases itself on the premise that the society that will emerge from this COVID-19 health crisis will inevitably differ from the current one. People have become more vulnerable, and this sense of vulnerability, fragility, and uncertainty has spread throughout society, and is no longer limited to certain social groups. The contemporary idea of security has also collapsed in societies that no longer seem secure, predictable, or under control. This situation of a weakened society is the first paradigm shift, brought forth alongside the notion of identity linked to time, space, and humanity. To that end, we carry out a review of the events which triggered the crisis in Europe and Africa.


Author(s):  
Prod. Roshan R. Kolte

Abstract: COVID-19 pandemic has rapidly affected our day-to-day life the world trade and movements. Wearing a face mask is very essentials for protecting against virus. People also wear mask to cover themselves in order to reduce the spread of covid virus. The corona virus covid-19 pandemic is causing a global health crisis so the effective protection method is wearing a face mask in public area according to the world health organization (WHO). The covid-19 pandemic forced government across the world to impose lockdowns to prevent virus transmission report indicates that wearing face mask while at work clearly reduce the risk of transmission .we will use the dataset to build a covid-19 face mask detector with computer vision using python,opencv,tensorflow,keras library and deep learning. Our goal is to identify whether the person on image or live video stream is wearing mask or not wearing face mask this can help to society and whole organization to avoid the transfer of virus one person to antother.we used computer vision and deep learning modules to detect a with mask image and without mask image. Keywords: face detection, face recognition, CNN, SVM, opencv, python, tensorflow, keras.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Idris Abdullahi Abdulqadir ◽  
Bello Malam Sa'idu ◽  
Ibrahim Muhammad Adam ◽  
Fatima Binta Haruna ◽  
Mustapha Adamu Zubairu ◽  
...  

PurposeThis article investigates the dynamic implication of healthcare expenditure on economic growth in the selected ten Sub-Saharan African countries over the period 2000–2018.Design/methodology/approachThe study methodology included dynamic heterogenous panel, using mean group and pooled mean group estimators. The investigation of the healthcare expenditure and economic growth nexus was achieved while controlling the effects of investment, savings, labor force and life expectancy via interaction terms.FindingsThe results from linear healthcare expenditure have a significant positive impact on economic growth, while the nonlinear estimates through the interaction terms between healthcare expenditure and investment have a negative statistically significant impact on growth. The marginal effect of healthcare expenditure evaluated at the minimum and maximum level of investment is positive, suggesting the impact of health expenditure on growth does not vary with the level of investments. This result responds to the primary objective of the article.Research limitations/implicationsIn policy terms, the impact of investment on healthcare is essential to addressing future health crises. The impact of coronavirus disease 2019 (COVID-19) can never be separated from the shortages or low prioritization of health against other sectors of the economy. The article also provides an insight to policymakers on the demand for policy reform that will boost and make the health sector attractive to both domestic and foreign direct investment.Originality/valueGiven the vulnerability of SSA to the health crisis, there are limited studies to examine this phenomenon and first to address the needed investment priorities to the health sector infrastructure in SSA.


2022 ◽  
Vol 19 (1) ◽  
pp. 37-42
Author(s):  
Binod Kumar Yadav ◽  
Ram Chandra Choudhary ◽  
Gaurav Jung Shah ◽  
Saharoj Siddiqui

Introduction: The corona virus disease-19 pandemic is an ongoing global health crisis and the greatest challenge we have been facing right now in the most peculiar ways. It has caused huge loss of lives and has severely affected the global economy and financial markets. Vaccines are a new critical tool to fight this voracious battle. They have been released in several parts of the world. Although the safety and efficacy of these vaccines have been discussed, we know very little about the post-vaccination experience outside clinical trial situations. Adequate information about the effects of the vaccine can aware the public remove misconceptions and increase vaccine acceptability. Aims: To know the percentage of Covishield vaccine coverage and its adverse effects among the staffs of Nepalgunj Medical College. Methods: A descriptive cross-sectional study was conducted among the vaccinated 91 out of 116 staff members of Nepalgunj Medical College (NGMC), Baijanath Rural Municipality-1, Banke. Results: Out of 91 persons, 15.4%(14) developed headache, 20%(18) developed fever, and 8.7%(17) developed body aches. Of those who developed post-vaccination side effects 47%(16) of the persons were from age group 36-55years,17%(1) of them between age group 55-65 years, and none above 65 years developed fever. 20%(13) of total male and 35%(5) of total female developed fever within 96 hours after receiving first dose of Covishield AstraZeneca vaccine. Conclusion: Most of the study subjects reported milder side effects which lasted for less than 5 days. No casualties were reported. Local pain and swelling at the injection site, headache and fever were the most common side effects. The side effects were more common in younger individuals and women.


Molecules ◽  
2022 ◽  
Vol 27 (2) ◽  
pp. 536
Author(s):  
Anais M. Quemener ◽  
Maria Laura Centomo ◽  
Scott L. Sax ◽  
Riccardo Panella

Antisense oligonucleotides (ASOs) are an increasingly represented class of drugs. These small sequences of nucleotides are designed to precisely target other oligonucleotides, usually RNA species, and are modified to protect them from degradation by nucleases. Their specificity is due to their sequence, so it is possible to target any RNA sequence that is already known. These molecules are very versatile and adaptable given that their sequence and chemistry can be custom manufactured. Based on the chemistry being used, their activity may significantly change and their effects on cell function and phenotypes can differ dramatically. While some will cause the target RNA to decay, others will only bind to the target and act as a steric blocker. Their incredible versatility is the key to manipulating several aspects of nucleic acid function as well as their process, and alter the transcriptome profile of a specific cell type or tissue. For example, they can be used to modify splicing or mask specific sites on a target. The entire design rather than just the sequence is essential to ensuring the specificity of the ASO to its target. Thus, it is vitally important to ensure that the complete process of drug design and testing is taken into account. ASOs’ adaptability is a considerable advantage, and over the past decades has allowed multiple new drugs to be approved. This, in turn, has had a significant and positive impact on patient lives. Given current challenges presented by the COVID-19 pandemic, it is necessary to find new therapeutic strategies that would complement the vaccination efforts being used across the globe. ASOs may be a very powerful tool that can be used to target the virus RNA and provide a therapeutic paradigm. The proof of the efficacy of ASOs as an anti-viral agent is long-standing, yet no molecule currently has FDA approval. The emergence and widespread use of RNA vaccines during this health crisis might provide an ideal opportunity to develop the first anti-viral ASOs on the market. In this review, we describe the story of ASOs, the different characteristics of their chemistry, and how their characteristics translate into research and as a clinical tool.


2022 ◽  
Vol 12 (01) ◽  
pp. 177-204
Author(s):  
Natalia Muñoz Fernández ◽  
◽  
Elisa Lucas Barcia ◽  

Effective risk communication is essential to manage outbreaks; consequently, news and figures about COVID-19 have become a constant need since the beginning of 2020. In this sense, infographics are a powerful tool for transmitting this type of information. This work analyzes the first year of the pandemic through the infographics published by El País Digitalto evaluate their use in communicating this health crisis. It is through content analysis that the topics and approaches of the articles, the weight of the infographics with respect to the text, the types and subtypes of infographics used, and their degrees and types of interaction, as well as the evolution of these variables throughout of the research period are studied. The results determine that the content typical of the period analyzed is a data-based thematic article, approached from an analytical / interpretive approach. Infographics and text share protagonism, and line graphs without any type of interactivity are included.


Author(s):  
Zheng Liu ◽  
Yongjiang Shi ◽  
Bo Yang

The COVID-19 pandemic has caused huge and disruptive technological changes in the healthcare sector, transforming the way businesses and societies function. To respond to the global health crisis, there have been numerous innovation projects in the healthcare sector, including the fast design and manufacturing of personal protective equipment (PPE) and medical devices, and testing, treatment, and vaccine technologies. Many of these innovative activities happen beyond organizational boundaries with collaboration and open innovation. In this paper, we review the current literature on open innovation strategy during the pandemic and adopt the co-evolution view of business ecosystems to address the context of change. Based on a detailed exploration of the COVID-19-related technologies in the UK and global healthcare sectors, we identify the key emerging themes of open innovation in crisis. Further discussions are conducted in relation to each theme. Our results and analysis can help provide policy recommendations for the healthcare sector, businesses, and society to recover from the crisis.


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