scholarly journals Efficiency of hybrid algorithm for COVID-19 online screening test based on its symptoms

2022 ◽  
Vol 25 (1) ◽  
pp. 440
Author(s):  
Mohd Kamir Yusof ◽  
Wan Mohd Amir Fazamin Wan Hamzah ◽  
Nur Shuhada Md Rusli
Keyword(s):  
Data Storage ◽  
Hybrid Algorithm ◽  
String Matching ◽  
Data Retrieval ◽  
World Health ◽  
Screening Process ◽  
System A ◽  
Extensible Markup ◽  
Health Organization ◽  
Hashing Algorithm

The coronavirus COVID-19 is affecting 196 countries and territories around the world. The number of deaths keep on increasing each day because of COVID-19. According to World Health Organization (WHO), infected COVID-19 is slightly increasing day by day and now reach to 570,000. WHO is prefer to conduct a screening COVID-19 test via online system. A suitable approach especially in string matching based on symptoms is required to produce fast and accurate result during retrieving process. Currently, four latest approaches in string matching have been implemented in string matching; characters-based algorithm, hashing algorithm, suffix automation algorithm and hybrid algorithm. Meanwhile, extensible markup language (XML), JavaScript object notation (JSON), asynchronous JavaScript XML (AJAX) and JQuery tehnology has been used widelfy for data transmission, data storage and data retrieval. This paper proposes a combination of algorithm among hybrid, JSON and JQuery in order to produce a fast and accurate results during COVID-19 screening process. A few experiments have been by comparison performance in term of execution time and memory usage using five different collections of datasets. Based on the experiments, the results show hybrid produce better performance compared to JSON and JQuery. Online screening COVID-19 is hopefully can reduce the number of effected and deaths because of COVID.

An Efficient Approach for Detection and Verification of Infected Cases of Covid-19 Virus through Block Chain: A Survey

2020 ◽  
Vol 10 ◽  
Author(s):  
Kanika Gupta ◽  
Aatif Jamshed
Keyword(s):  
Data Storage ◽  
Operations Management ◽  
World Health ◽  
Chain Model ◽  
Human Beings ◽  
Healthcare Applications ◽  
Food Market ◽  
Block Chain ◽  
Novel Coronavirus ◽  
Health Organization

: Some unknown cases of pneumonia were communicated to World Health Organization (WHO) on 31 December,2019 in China’s Wuhan state. The higher authorities of China informed novel coronavirus as the root cause and labelled as “nCov-2019”. This virus is lying into the virus’s family which propagates the diseases like cold flu, lungs infection and more serious diseases. It is not detected earlier in human beings as it is considered to be a new patch on life. Many countries have increased their surveillance forces around the globe to detect any new novel coronavirus cases. An efficient and safe network for secure data storage i.e. Block chain is used in several applications such as food market, healthcare applications, finance, operations management, Internet of Things (IoT). In this paper, with the use of this emerging technology, are able to track useful information and accelerate the treatment process of patients. It also preserves the person’s identity. Correct implementation of block chain model has the chances to restrict the coronavirus transmissions and its related mortality rate where there are inadequate facilities of testing. Other infectious diseases will also be curbed by this model. The advantages of this model can reach to various stakeholders who are involved in the healthcare field which helps us to restrict the transmission of various diseases.

scholarly journals Analysis of Separability of COVID-19 and Pneumonia in Chest X-ray Images by Means of Convolutional Neural Networks

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 31
Author(s):  
Joaquim de Moura ◽  
Lucía Ramos ◽  
Plácido L. Vidal ◽  
Jorge Novo ◽  
Marcos Ortega
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Clinical Symptoms ◽  
Early Stage ◽  
World Health ◽  
Complete Analysis ◽  
Screening Process ◽  
X Ray ◽  
Chest X Ray ◽  
Health Organization

The new coronavirus (COVID-19) is a disease that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 11 March 2020, the coronavirus outbreak has been labelled a global pandemic by the World Health Organization. In this context, chest X-ray imaging has become a remarkably powerful tool for the identification of patients with COVID-19 infections at an early stage when clinical symptoms may be unspecific or sparse. In this work, we propose a complete analysis of separability of COVID-19 and pneumonia in chest X-ray images by means of Convolutional Neural Networks. Satisfactory results were obtained that demonstrated the suitability of the proposed system, improving the efficiency of the medical screening process in the healthcare systems.

scholarly journals From Theory to Real-World Integration: Implementation Science and Beyond

2020 ◽  
pp. 143-157
Author(s):  
Giulia Dagliana ◽  
Sara Albolino ◽  
Zewdie Mulissa ◽  
Jonathan Davy ◽  
Andrew Todd
Keyword(s):  
Healthcare Systems ◽  
World Health ◽  
Quality Healthcare ◽  
Levels Of Care ◽  
Healthcare Settings ◽  
System A ◽  
Causes Of Mortality ◽  
Health Organization ◽  
System 1 ◽  
Different Characteristics

AbstractThe increasing complexity and dynamicity of our society (and world of work) have meant that healthcare systems have and continue to change and consequently the state of healthcare systems continues to assume different characteristics. The causes of mortality are an excellent example of this rapid transformation: non-communicable diseases have become the leading cause of death, according to World Health Organization (WHO) data, but at the same time there are new problems emerging such as infectious diseases, like Ebola or some forms of influenza, which occur unexpectedly or without advanced warning. Many of these new diseases diffuse rapidly through the different parts of the globe due to the increasingly interconnected nature of the world. Another example of the healthcare transformation is the innovation associated with the introduction and development of advanced communication and technology systems (such as minimally invasive surgery and robotics, transplantation, automated antiblastic preparation) at all levels of care. Consequently, the social and technical dimensions of healthcare are becoming more and more complex and provide a significant challenge for all the stakeholders in the system to make sense of and ensure high quality healthcare. These stakeholders include but are not limited to patients and their families, caregivers, clinicians, managers, policymakers, regulators, and politicians. It is an inescapable truth that Humans are always going to be part of the healthcare systems, and it is these human, who by their very nature introduce variability and complexity to the system (we do not necessarily view this as a negative and this chapter will illustrate). A microlevel a central relationship in focus is that between the clinician and the patient, two human beings, making the health system a very peculiar organization compared to similarly high-risk organizations such as aviation or nuclear energy. This double human being system [1] requires significant effort (good design) in managing unpredictability through the development of personal and organization skills, such as the ability to react positively and rapidly to unexpected events and to adopt a resilient strategy for survival and advancement. In contrast to other similar industries, in terms of level of risk and system safety, healthcare settings are still plagued by numerous errors and negative events involving humans (and other elements) at various levels within the system. The emotional involvement is very high due to the exposure to social relationships daily and results in significant challenges to address both technical and non-technical issues simultaneously.

scholarly journals Unmasking the Practices of Nurses and Intercultural Health in Sub-Saharan Africa: A Useful Way to Improve Health Care?

2018 ◽  
Vol 23 ◽  
pp. 2515690X1879112 ◽  
Author(s):  
Razak M. Gyasi
Keyword(s):  
Health Care ◽  
Health Belief ◽  
Sub Saharan Africa ◽  
World Health ◽  
Integrative Model ◽  
Intercultural Health ◽  
System A ◽  
Knowledge Deficit ◽  
Sub Saharan ◽  
Health Organization

In 2001 and 2013, the World Health Organization (WHO) published the WHO Traditional Medicine Strategy 2002-2005 and 2014-2023, respectively, to address policy, ethics, quality, and integration of complementary health therapies (CHT). Despite the adoption of these strategic frameworks, sub-Saharan African (SSA) countries largely run dualistic and inclusive health care system. A recent article published in Complementary Therapies in Clinical Practice analyzed the role of practicing nurses in CHT integration and intercultural health in an SSA country setting. Drawing on the Complementary and Alternative Medicine Health Belief Questionnaire, the study specifically examined nurses’ knowledge, practices, and attitudes toward CHT. The study revealed that nurses had low knowledge about CHT, which reflected in their ineptitude to engage in professional practices of CHT. In spite of the knowledge deficit, nurses generally held favorable attitudes toward CHT and the majority supported the need for “safe” and evidence-based integrative model. Efforts to improve CHT-related knowledge of nurses may enhance medical integration in SSA. This commentary proposes novel political will and investment in CHT education and research as well as an inclusion of CHT modules in the nurses’ training programs; viabilities to achieve intercultural health and improved care in SSA.

scholarly journals Peripheral Medulloepithelioma: A Rare Entity to Know

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
W. Matrane ◽  
S. Cherkaoui ◽  
M. Regragui ◽  
N. Bennani Guebessi ◽  
M. Karkouri ◽  
...  
Keyword(s):  
World Health ◽  
Rare Entity ◽  
System A ◽  
Peripheral Location ◽  
The World ◽  
The Central Nervous System ◽  
Health Organization ◽  
Established Treatment ◽  
Infants And Young Children

According to the World Health Organization, medulloepithelioma belongs to the embryonal neoplasm entity. It is a very rare, highly malignant tumor typically affecting infants and young children. Usually, the tumor arises in the eye or in the central nervous system; a peripheral location has been rarely reported without an established treatment. The recognition and separation of this neoplasm from other differential tumors are mandatory for better understanding of its biology and determination of optimal treatment. This paper reports a case of an ectopic intrapelvic medulloepithelioma with liver metastasis in a 3-year-old girl.

scholarly journals Protocol of a Systematic Review on Telemedicine Solutions in COVID-19 Pandemic

2021 ◽  
Vol 10 (1) ◽  
pp. 96
Author(s):  
Saeid Eslami ◽  
Raheleh Ganjali
Keyword(s):  
Systematic Review ◽  
Decision Makers ◽  
World Health ◽  
Future Health ◽  
Screening Process ◽  
Review Study ◽  
Health Organization ◽  
Meta Analyses ◽  
Abstract Screening ◽  
Respiratory Droplets

Introduction: On March 20, 2020, the World Health Organization (WHO) announced the spread of SARS-CoV-2 infection in most countries worldwide as a pandemic. COVID-19 is mainly disseminated through human-to-human transmission route via direct contact and respiratory droplets. Telehealth and/or telemedicine technologies are beneficial methods that could be employed to deal with pandemic situation of communicable infections. The purpose of this proposed systematic review study is to sum up the functionalities, applications, and technologies of telemedicine during COVID-19 outbreak.Material and Methods: This review will be carried out in accordance with the Cochrane Handbook and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. PubMed and Scopus databases were searched for related articles. Randomized and non-randomized controlled trials published in English in scientific journals were identified to be evaluated for eligibility. Articles conducted on telemedicine services (TMS) during COVID-19 outbreak (2019-2020) were identified to be evaluated.Results: The literature search for related articles in PubMed and Scopus databases led to the identification and retrieval of a total of 1118 and 485 articles, respectively. After eliminating duplicate articles, title and abstract screening process was performed for the remaining 1440 articles. The current study findings are anticipated to be used as a guide by researchers, decision makers, and managers to design, implement, and assess TMS during COVID-19 crisis.Conclusion: As far as we know, this systematic review is conducted to comprehensively evaluate TM methods and technologies developed with the aim of controlling and managing COVID-19 pandemic. This study highlights important applications of telemedicine in pandemic conditions, which could be employed by future health systems in controlling and managing communicable infections when an outbreak occurs.

scholarly journals Immune targeted therapies for COVID-19 Infection: A Promising Outlook

2020 ◽  
Author(s):  
Bahareh Forouzani-Haghighi ◽  
Alireza Rezvani ◽  
Afsaneh Vazin
Keyword(s):  
Immune Response ◽  
Immune System ◽  
Checkpoint Inhibitors ◽  
The Elderly ◽  
World Health ◽  
Laboratory Findings ◽  
System A ◽  
Disease Prognosis ◽  
Health Organization

In December 2019, the coronavirus disease-19 (COVID-19) outbreak emerged in Wuhan, China. On March 11, 2020, the WHO (World Health Organization) officially declared it a pandemic. Reports indicated that the associated mortality of the infection is quite higher in the elderly, patients with specific comorbidities (like diabetes mellitus), and generally the ones with a compromised immune system. A cohort study of 452 patients with laboratory-confirmed COVID-19 in Wuhan, China, reported a dysregulated immune response in these patients. As a result of this suppressed immune response, the increase of neutrophil to lymphocyte ratio (NLR), T lymphopenia, and decrease of CD4+ T cells was considered as common laboratory findings, especially in severe cases. On the other hand, there is also clear evidence of T cell exhaustion in severely ill patients. So, the immune system seems to play an important role in disease prognosis and pathogenesis. This study aims to review the evidence on the immune response dysregulation in COVID-19 infection and the potential role of immunoregulatory treatments such as immune checkpoint inhibitors, interferons, and CD200 inhibitors in altering disease prognosis, especially in critically ill patients.

scholarly journals COVID-19 DAN KEKERASAN SIMBOLIK

2022 ◽  
Vol 7 (1) ◽  
pp. 1-12
Author(s):  
Syahril M Yusuf
Keyword(s):  
World Health Organization ◽  
Respiratory System ◽  
Symbolic Violence ◽  
World Health ◽  
Social Phenomenon ◽  
System A ◽  
Corona Virus ◽  
The World ◽  
Health Organization ◽  
The Impact

The new virus is now known as the corona virus. Corona virus is a virus that attacks the respiratory system. A disease due to viral infection is called COVID-19. The majority of cases there is a corona virus in Wuhan, China. In March 2020, the World Health Organization (WHO) announced the corona virus as a pandemic. Pandemic COVID-19 becomes much discussed worldwide. This study aims to look at the impact of social phenomenon with the presence of the corona virus through various media; both print and electronic that led to symbolic violence. The results showed that the symbolic violence is present in a variety of ways with specific objectives.

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