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

2020 ◽  
Author(s):  
Kutty Kumar

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.

Author(s):  
Rafid A. Abdulkareem

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


2021 ◽  
Vol 40 (4) ◽  
pp. 608-615
Author(s):  
S.C. Madu ◽  
E.A. Madu ◽  
C.O. Anyaoha ◽  
P.A. Okonkwo ◽  
U.C. Ogbuefi ◽  
...  

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.


2020 ◽  
Author(s):  
Miao Liu ◽  
hongzhong Zhang ◽  
Hui Huang

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.


Author(s):  
Jeremy Smelt ◽  
Gowthanan Santhirakumaran ◽  
Paul Vaughan ◽  
Ian Hunt ◽  
Carol Tan

Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus primarily affecting the respiratory system, was initially diagnosed in Wuhan, China, in late 2019. Identified as coronavirus disease 2019 (COVID-19) by the World Health Organization, the virus rapidly became a global pandemic. The effects on health care worldwide were unprecedented as countries adapted services to treat masses of critically ill patients.The aim of this study is to analyze the effect that the COVID-19 pandemic had on thoracic surgery at a major trauma center during peak prevalence. Methods Prospective unit data were collected for all patients who underwent thoracic surgery during March 2020 until May 2020 inclusive. Retrospective data were collected from an earlier comparable time period as a comparison. Results In the aforementioned time frame, 117 thoracic surgical operations were performed under the care of four thoracic surgeons. Six operations were performed on three patients who were being treated for SARS-CoV-2. One operation was performed on a patient who had recovered from SARS-CoV-2. There were no deaths due to SARS-CoV-2 in any patient undergoing thoracic surgery. Conclusion This study demonstrates that during the first surge of SARS-CoV-2, it was possible to adapt a thoracic oncology and trauma service without increase in mortality due to COVID-19. This was only possible due to a significant reduction in trauma referrals, cessation of benign and elective work, and the more stringent reprioritization of cancer surgery. This information is vital to learn from our experience and prepare for the predicted second surge and any similar future pandemics we might face.


Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1551 ◽  
Author(s):  
Edyta Marta Borkowska ◽  
Tomasz Konecki ◽  
Michał Pietrusiński ◽  
Maciej Borowiec ◽  
Zbigniew Jabłonowski

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.


2021 ◽  
Vol 66 (No. 4) ◽  
pp. 156-166
Author(s):  
JL Freitas ◽  
TS Andrade ◽  
ES Martins Filho ◽  
CS D’Soares ◽  
ACSN Souza ◽  
...  

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Dong Sui ◽  
Kang Zhang ◽  
Weifeng Liu ◽  
Jing Chen ◽  
Xiaoxuan Ma ◽  
...  

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.


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 ◽  
...  

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.


BMJ ◽  
1998 ◽  
Vol 316 (7144) ◽  
pp. 1553-1553 ◽  
Author(s):  
C. Dyer

Author(s):  
Jennifer Van Horn

Elite residents of Charleston, South Carolina, sought a unique means of memorializing their dead: gravestones embellished with bust-length depictions of the deceased. Commissioned from stone carvers in Boston, these portrait gravestones reimagined the small, ivory form of the portrait miniature at a public scale suitable for the cemetery. This chapter examines why Charlestonians patronized this type of memorial, tying the gravestones to residents’ horror at the savagery unleashed upon corpses by putrefaction and to their desire to preserve bodies’ former politeness. Considering portrait gravestones along with mourning rituals and coffin construction illuminates the stones’ role as protective containers that kept savagery at bay, an important function given Charleston’s high death rate and steamy climate. Recognizing the memorials’ similarity to boundary markers, such as those erected to mark the Mason Dixon line, illuminates how the gravestones demarcated a space of colonial control. By erecting stone portraits of civil persons, Charlestonians created a social network with incredible permanence.


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