scholarly journals Development of auto sanitizer for mitigation of Covid-19 – Using solar powered aluminum structural chamber

2021 ◽  
Vol 40 (4) ◽  
pp. 608-615
Author(s):  
S.C. Madu ◽  
E.A. Madu ◽  
C.O. Anyaoha ◽  
P.A. Okonkwo ◽  
U.C. Ogbuefi ◽  
...  
Keyword(s):  
Human Body ◽  
Infectious Virus ◽  
Economic Activities ◽  
Medical Practitioners ◽  
High Death Rate ◽  
High Death ◽  
Solar Powered ◽  
Novel Coronavirus ◽  
Micro Organisms ◽  
Good Number

The use of auto sanitizer in the disinfection of human body and surfaces against dangerous micro-organisms like coronavirus diseases that are infectious is of great importance to schools, family, community, and public health. The outbreak of novel Coronavirus in late 2019, which has crippled the academic, social, and economic activities globally is as a result of unhygienic activities of living creatures like, man, and animals. But a good number of technologies can be developed to tackle the emergence of this novel infectious virus. The challenge of COVID-19 that resulted to ill-health, high death rate, and shutdown of activities was being addressed radically by different medical practitioners, engineers through various practical innovations, methods and mitigation approach - ranging from the use of face shields and respiratory facemasks to practicing of social and physical distancing. This part of preventive measures has led us to developing an Auto Sanitizer that is made of Aluminum Chamber which does not wet the cloth or human body but disinfects it against COVID-19.

scholarly journals DECLARATION OF EPIDEMIC PUBLIC HEALTH WITH NOVEL CORONAVIRUS

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Rafid A. Abdulkareem
Keyword(s):  
Public Health ◽  
Early Detection ◽  
Diagnostic Tests ◽  
Death Rate ◽  
Rna Viruses ◽  
Virus Disease ◽  
Respiratory Problems ◽  
High Death Rate ◽  
High Death ◽  
Novel Coronavirus

Coronaviruses (CoV) are broad enveloped RNA viruses in humans and animals are mostly correlated with enteric and respiratory problems. Within the last decades, incidents of high death rate triggered by the spread of CoV from animals to humans have occurred. Certain pathogen city of CoV is known species-dependent as with the extent of infection; Complications typically appear in closely associated human hosts. Epidemiologists assume that the SARS virus arose in bats (natural reservoirs hosts) that were transferred to persons in Wuhan, China. Presently, the available diagnostic tests are aimed at the traditional early detection of the causes of pneumonia, promote disease prevention efforts and collaborate with research laboratories that can conduct pan coronavirus detection or controlled sequencing. No vaccine is sufficient to protect toward coronaviruses. Also there is no clear treatment for corona virus disease. Patients take comprehensive medication in clinics and typically heal on their own after several times. A vaccine can take up to 45 months to develop. Let’s stay safe during this period of time. Keywords: Coronaviruses, Spreading, bats, diagnostic, vaccine

Mapping of PubMed Literature on Early Trends of 2019 Novel Coronavirus (COVID-19)

2020 ◽  
Author(s):  
Kutty Kumar
Keyword(s):  
Data Science ◽  
Time Frame ◽  
Research Organizations ◽  
High Death Rate ◽  
Pubmed Database ◽  
Examination Time ◽  
Production Distribution ◽  
High Death ◽  
Novel Coronavirus ◽  
Distribution Type

Abstract 2019 novel corona virus infection (COVID-19) causes extreme viral pneumonia in people, known to have a high death rate and a similitude in clinical indications with Severe Acute Respiratory Syndrome coronavirus. This investigation intended to study the attributes of distributions on early COVID-19 research through bibliometric analysis. PubMed database was looked on 07, February, 2020 for COVID-19 distributions published during 01st December 2019 to 06th February 2020. Investigation parameters incorporate year of production, distribution type, examples of universal coordinated effort, and research organizations. An aggregate of 62 COVID-19 research distributions were distributed during the examination time frame. The exploration works were distributed from 13 nations, demonstrating the global noteworthiness on coronavirus episode. USA was the biggest supporter, with 24 articles distributed over a range of 2months and 6 days, trailed by England (11 articles). Aftereffects of the investigation will bear some significance with understudies, specialists, curators and data science experts, and will fill in as a pattern for resulting examinations.

scholarly journals Media Exposure to COVID-19 Information, Risk Perception, Social and Geographical Proximity, and Self-Rated Anxiety in China

2020 ◽  
Author(s):  
Miao Liu ◽  
hongzhong Zhang ◽  
Hui Huang
Keyword(s):  
Perceived Risk ◽  
Media Exposure ◽  
Anxiety Level ◽  
Communication Strategy ◽  
Geographical Proximity ◽  
Global Pandemic ◽  
High Death Rate ◽  
High Death ◽  
Novel Coronavirus

Abstract Background A novel coronavirus named COVID-19 is an emerging infectious disease confronting the world. The lack of effective antiviral drugs and vaccines, along with the relative high death rate and high contagiousness, has raised strong public concerns over COVID-19, especially for those people who live in the most severely affected areas. This study aims to clarifying the factors that influence anxiety level of Chinese people during the COVID-19 pandemic, with particular focus on exposure to different COVID-19 information in media. Methods 4991 respondents were randomly recruited from a national online panel from February 12, 2020 to February 14, 2020, during which period of time the number of COVID-19 cases surpassed 10,000 in a single day and the total cases in China reached to 63940. Measures assessed respondents self-rated anxiety, media exposure of COVID-19 information, social and geographical proximity to COVID-19, and perceived risk. Results Media exposure to COVID-19 information was differently associated with anxiety. Anxiety was found to be high in respondents who personally know someone infected with COVID-19 or living in an area that has reported cases. Respondents perceived more risks also reported higher level of anxiety. Conclusions This study highlighted the role of media exposure in influencing individuals’ anxiety level during a global pandemic. Government and health professionals are recommended to adopt effective risk communication strategy to improve citizens’ mental health during the pandemic.

scholarly journals Antiviral Activity of the PropylamylatinTM Formula against the Novel Coronavirus SARS-CoV-2 In Vitro Using Direct Injection and Gas Assays in Virus Suspensions

Viruses ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 415
Author(s):  
Ashley N. Brown ◽  
Gary Strobel ◽  
Kaley C. Hanrahan ◽  
Joe Sears
Keyword(s):  
Propionic Acid ◽  
Infectious Virus ◽  
Direct Injection ◽  
Plaque Assay ◽  
Antiviral Effect ◽  
Dependent Manner ◽  
Global Public Health ◽  
Novel Coronavirus ◽  
The Individual

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of novel coronavirus disease 2019 (COVID-19), has become a severe threat to global public health. There are currently no antiviral therapies approved for the treatment or prevention of mild to moderate COVID-19 as remdesivir is only approved for severe COVID-19 cases. Here, we evaluated the antiviral potential of a Propylamylatin formula, which is a mixture of propionic acid and isoamyl hexanoates. The Propylamylatin formula was investigated in gaseous and liquid phases against 1 mL viral suspensions containing 105 PFU of SARS-CoV-2. Viral suspensions were sampled at various times post-exposure and infectious virus was quantified by plaque assay on Vero E6 cells. Propylamylatin formula vapors were effective at inactivating infectious SARS-CoV-2 to undetectable levels at room temperature and body temperature, but the decline in virus was substantially faster at the higher temperature (15 min versus 24 h). The direct injection of liquid Propylamylatin formula into viral suspensions also completely inactivated SARS-CoV-2 and the rapidity of inactivation occurred in an exposure dependent manner. The overall volume that resulted in 90% viral inactivation over the course of the direct injection experiment (EC90) was 4.28 µls. Further investigation revealed that the majority of the antiviral effect was attributed to the propionic acid which yielded an overall EC90 value of 11.50 µls whereas the isoamyl hexanoates provided at most a 10-fold reduction in infectious virus. The combination of propionic acid and isoamyl hexanoates was much more potent than the individual components alone, suggesting synergy between these components. These findings illustrate the therapeutic promise of the Propylamylatin formula as a potential treatment strategy for COVID-19 and future studies are warranted.

scholarly journals MicroRNAs Which Can Prognosticate Aggressiveness of Bladder Cancer

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1551 ◽  
Author(s):  
Edyta Marta Borkowska ◽  
Tomasz Konecki ◽  
Michał Pietrusiński ◽  
Maciej Borowiec ◽  
Zbigniew Jabłonowski
Keyword(s):  
Bladder Cancer ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Control Group ◽  
Low Grade ◽  
Operating Characteristics ◽  
High Death Rate ◽  
Biological Potential ◽  
High Death ◽  
Muscle Invasive

Bladder cancer (BC) is still characterized by a very high death rate in patients with this disease. One of the reasons for this is the lack of adequate markers which could help determine the biological potential of the tumor to develop into its invasive stage. It has been found that some microRNAs (miRNAs) correlate with disease progression. The purpose of this study was to identify which miRNAs can accurately predict the presence of BC and can differentiate low grade (LG) tumors from high grade (HG) tumors. The study included 55 patients with diagnosed bladder cancer and 30 persons belonging to the control group. The expression of seven selected miRNAs was estimated with the real-time PCR technique according to miR-103-5p (for the normalization of the results). Receiver operating characteristics (ROC) curves and the area under the curve (AUC) were used to evaluate the feasibility of using selected markers as biomarkers for detecting BC and discriminating non-muscle invasive BC (NMIBC) from muscle invasive BC (MIBC). For HG tumors, the relevant classifiers are miR-205-5p and miR-20a-5p, whereas miR-205-5p and miR-182-5p are for LG (AUC = 0.964 and AUC = 0.992, respectively). NMIBC patients with LG disease are characterized by significantly higher miR-130b-3p expression values compared to patients in HG tumors.

scholarly journals Causes of spontaneous death and euthanasia in dogs: A background study in Bahia, Brazil

2021 ◽  
Vol 66 (No. 4) ◽  
pp. 156-166
Author(s):  
JL Freitas ◽  
TS Andrade ◽  
ES Martins Filho ◽  
CS D’Soares ◽  
ACSN Souza ◽  
...  
Keyword(s):  
Death Rate ◽  
Northeast Brazil ◽  
Disease Category ◽  
Pathology Laboratory ◽  
High Death Rate ◽  
High Death ◽  
Veterinary Pathology ◽  
Diagnostic Capabilities ◽  
Health Programmes ◽  
Epidemiological Information

Understanding the causes of death in dogs enhances the diagnostic capabilities of veterinarians, as well as reduces animal mortality. Studies on this topic assist in the control and prophylaxis of epidemics and in structuring public health programmes. In total, 1 355 necropsy reports of dogs filed at the Veterinary Pathology Laboratory of the Federal University of Bahia, Northeast, Brazil (2005–2017) were analysed. The epidemiological information and anatomopathological diagnoses were obtained. The diagnosed diseases were classified into 10 categories. The frequency of the zoonoses, the overall age of the death (AD) of the dogs, and the AD of the dogs for each disease category were determined. Infectious and parasitic diseases were the most frequent primary causes of death in puppies (44.62%) and adult dogs (26.52%). In elderly dogs, most deaths occurred due to neoplasms (42.37%). Distemper (10.46%) was the most prevalent condition. A high frequency of zoonoses (6.12%) and a high death rate caused by diseases that could have been prevented (15.06%), such as distemper, parvovirus and canine visceral leishmaniasis, were reported. The AD in the population studied was eight years. The results confirmed the hypothesis of a high death rate in dogs in the state of Bahia, Northeast, Brazil, because of preventable infectious diseases.

scholarly journals Coronavirus Disease 2019 (COVID-19): Future Challenges and Recommendations for Dental Settings

2021 ◽  
Vol 4 (11) ◽  
pp. RV1-RV5
Author(s):  
Najmus Sahar ◽  
Pradeep Tangade ◽  
Vikas Singh ◽  
Surbhi Priyadarshini ◽  
Debashis Roy
Keyword(s):  
Health Care Workers ◽  
Preventive Measures ◽  
Clinical Manifestations ◽  
Virus Transmission ◽  
Review Article ◽  
The Novel ◽  
Medical Practitioners ◽  
Care Workers ◽  
Future Challenges ◽  
Novel Coronavirus

The novel coronavirus outbreak is a contagious disease affecting the countries around the world. The quick advancing nature of pandemic has gripped the entire community making it a public health emergency. Infection control preventive measures are necessary to prevent it from further spreading. Medical practitioners, health care workers and Dentists are at high risk of acquiring and transmission of infection. The virus transmission occurs through respiratory tract, aerosols and droplets. Clinical manifestations of virus vary from mild to severe sickness. This review article mainly emphasizes on all the information collected to date on the virus, and future recommendations for dental settings to manage the further spread of this virus.

scholarly journals CST: A Multitask Learning Framework for Colorectal Cancer Region Mining Based on Transformer

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Dong Sui ◽  
Kang Zhang ◽  
Weifeng Liu ◽  
Jing Chen ◽  
Xiaoxuan Ma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Cancer Screen ◽  
Region Detection ◽  
High Death Rate ◽  
High Death ◽  
Colorectal Cancer Screen ◽  
Segmentation Task ◽  
Transformer Model

Colorectal cancer is a high death rate cancer until now; from the clinical view, the diagnosis of the tumour region is critical for the doctors. But with data accumulation, this task takes lots of time and labor with large variances between different doctors. With the development of computer vision, detection and segmentation of the colorectal cancer region from CT or MRI image series are a great challenge in the past decades, and there still have great demands on automatic diagnosis. In this paper, we proposed a novel transfer learning protocol, called CST, that is, a union framework for colorectal cancer region detection and segmentation task based on the transformer model, which effectively constructs the cancer region detection and its segmentation jointly. To make a higher detection accuracy, we incorporate an autoencoder-based image-level decision approach that leverages the image-level decision of a cancer slice. We also compared our framework with one-stage and two-stage object detection methods; the results show that our proposed method achieves better results on detection and segmentation tasks. And this proposed framework will give another pathway for colorectal cancer screen by way of artificial intelligence.

scholarly journals Autonomous robotic fire detection and extinguishing system

2021 ◽  
Vol 2107 (1) ◽  
pp. 012060
Author(s):  
Nivennesh A/L Sathiabalan ◽  
Anis Farihin Mohamed Lokimi ◽  
Ong Zi Jin ◽  
Nur Syazwani Mohd Hasrin ◽  
Aini Syuhada Md Zain ◽  
...  
Keyword(s):  
Human Error ◽  
Average Length ◽  
Fire Detection ◽  
Water Tank ◽  
Water Pump ◽  
Robot System ◽  
Fire Extinguishing ◽  
High Death Rate ◽  
High Death ◽  
Robot Body

Abstract Firefighting is a dangerous job with a high death rate. Robotics is the new way to protect the environment and human lives. This work proposes an autonomous robot system that can inevitably discover fire using the flame sensor and extinguish it. This project includes Arduino UNO, flame sensor, servo motor, motor driver, relay module, Bluetooth HC-06 module, and water pump. Besides, using the push Bluetooth app at the transmitting end, commands are sent to the receiver to control the robot’s movement. The motors are connected to the microcontroller and used to move the robot and sprinkle water on the fire. A water tank and a water pump are mounted on the robot body and automatically detected by the infrared. An ATMEGA328 series microcontroller controls the flame sensor and the whole operation. A motor driver IC, L298N, is interfaced to the microcontroller through which the controller drives the motors. As a result, the robot can detect fire from a distance. The average length for detecting flame is approximately 5.11cm, and Bluetooth transmission is about 300cm. It has the potential to reduce human error and limitations associated with fire extinguishing tasks.

ELEVATED INTERLEUKIN–6 AND FERRITIN LEVELS EXACERBATE SEVERITY OF 2019 NOVEL CORONAVIRUS DISEASE (COVID-19): A PILOT STUDY

2021 ◽  
pp. 16-19
Author(s):  
Shelesh Kumar Swami ◽  
Nitesh Kumar Chauhan ◽  
Shuchi Goyal ◽  
A.K. Verma ◽  
Shweta Biyani
Keyword(s):  
Pilot Study ◽  
Interleukin 6 ◽  
Severe Disease ◽  
Close Monitoring ◽  
Medical Practitioners ◽  
Resultant Data ◽  
Initial Symptoms ◽  
Severe Group ◽  
Novel Coronavirus ◽  
Loss Of Appetite

Background & objectives: The 2019 novel coronavirus disease (COVID-19) pandemic is a big challenge for scientic and medical eld. Progression of severe disease is a difcult problem in treatment. Therefore, there is essential need to recognize severe forms of COVID-19 early in the disease course. Identication of effective biomarkers are able to classify patients based on severity. In this pilot study, we aimed to validate the association between immunologic biomarkers Interleukin-6 and ferritin with the severity of the COVID-19. Methods: A total of 1443 patients diagnosed with COVID-19 were enrolled including a severe group and a nonsevere group. Baseline clinical characteristics were collected. Serum interleukin-6 and ferritin were measured and the resultant data was statistically analyzed. Results: The most common initial symptoms were fever (68.81%) and cough (47.82%), followed by loss of appetite (9.28%), fatigue (17.46%) and breathlessness (15.52%). Level of IL-6 and Ferritin were signicantly higher in the severe patients (p<.05 for both) compared with nonsevere patients. Interpretation & conclusions: This pilot study conrmed that IL-6 and ferritin biomarkers are closely associated with the severity of COVID-19. Assessment of these biomarkers could be helpful to medical practitioners in starting treatment and close monitoring against COVID-19 infection which could improve prognosis and lower mortality

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