Coronavirus Essay Topics

9 Coronavirus Research Trends using LDA and Topic Modelling Inspired by all of the COVID-19 pre-print research being made publicly published, I wanted to utilize some data science skills and see if any trends were emerging. There were a few surprises. To see Coronavirus Essay Topics look below or follow the link.

As terrible because currently unfolding Coronavirus epidemic may be, it’s been fascinating to see how quickly academic and research communities around the world have scrambled to start out understanding this virus and its potential impact. Coronavirus Topic Modelling Cover Image. Illustration by Author Because of the, there are numerous interesting pre-print academic papers being released fast. I would encourage that you read pre-prints with caution since the claims made are unverified, but I wished to see if there were any discernible patterns inside topics and conclusions these papers are discussing. So, I have manually scraped the outcomes and insights areas of these pre-print papers in line with the list through the Elsevier Novel Coronavirus Information Center and utilizing popular Gensim library did some topic modelling using Latent Dirichlet Allocation (LDA). I’ll be sure to include the GitHub link towards the bottom of this post if you want to do that yourself.

Model perplexity and topic coherence give you a convenient measure to judge how good a certain topic model is. Credit: Screenshots by Author After training multiple LDA models on a sample size 75 pre-prints, 32 topics appeared optimal (maybe 20 could have ok) which has a coherence value of 0.54. I then selected probably the most prominent and exciting topic keywords clusters, inferred the central insight and located one of the most representative article for every. This post is actually no means a scientific review, but alternatively somewhat experiment I wished to share. Perhaps we are able to use tools like this to identify patterns from multiple sources faster and foster collaboration with Coronavirus Essay Topics. Results. Illustration by Author 9 Prominent Coronavirus Topics in addition to their Most Representative Papers 1. CT Scans Appear Promising for Screening COVID-19 Keywords: pneumonia, confirm, evidence, fatality, beijing, focus, large, prediction, effort, propagation

Cat Scan. Illustration by Author Although the herpes simplex virus has demonstrated that it's highly contagious to cause infection both in lungs spontaneously, clinical evidence implies that Wuhan-viral pneumonia carries a low fatality rate. CT Imaging plays a pivotal role inside screening, diagnosis, isolation plan, treatment, management or prognosis of patients with Wuhan-viral pneumonia. Most Representative Paper: Clinical and Imaging Evidence of Wuhan-Viral Pneumonia: A Large-Scale Prospective Cohort Study Percentage of Documents With Topic: 8% 2. Using AI to Screen COVID-19 Patients Keywords: clinical, diagnosis, significant, highly, characteristic, symptom, aim, index, eosinophil, admission

Robot. Illustration by Author Using AI technology to screen patients for attributes like WBC, Eosinophil count, Eosinophil rate, 2019 novel coronavirus RNA (2019n-CoV) and Amyloid-A this team developed a faster method to achieve COVID-19 diagnosis using a improved confirmed diagnosis rate for clinical use. Most Representative Paper: Artificial Intelligence Application in COVID-19 Diagnosis and Prediction Percentage of Documents With Topic: 7% 3. Countries are not ready for 2019-nCoV Keywords: prevent, health, capacity, effectively, emergency, manage, strengthen, support, readiness, exist

Globe. Illustration by Author Countries vary widely when it comes to their chance to prevent, detect and control outbreaks, that is underpinned by global variances inside the strength of health systems to manage health emergencies. We need to strengthen global readiness to contain existing outbreaks including the ongoing international spread of 2019-nCoV. Most Representative Paper: Review of Health Security Capacities in Light of 2019-nCoV Outbreak — Opportunities for Strengthening IHR (2005) Implementation Percentage of Documents With Topic: 7% 4. Medical Staff Insomnia, Psychological Issues and COVID-19 Keywords: psychological, factor, find, disease, social, isolation, staff, identify, depression, stay Insomnia of medical staff. Illustration by Author A study found a lot more than one-third from the medical staff experienced insomnia symptoms during the COVID-19 outbreak. The related factors were including education level, isolation environment, social-psychological worries regarding the COVID-19 outbreak, and occupation of doctor. Interventions of insomnia on medical staffs were needed considering different social psychological factors. Most Representative Paper: Survey of Insomnia and Related Social Psychological Factors Among Medical Staffs Involved with the 2019 Novel Coronavirus Disease Outbreak Percentage of Documents With Topic: 7% 5. Should we use strong prevention measures to control the epidemic? Keywords: measure, prevention, city, strong, strict, individual, expect, maintain, expose, stop

Isolation. Illustration by Author Strong prevention measures are increasingly being encouraged before the Coronavirus epidemic is over. Other domestic places and overseas have confirmed infected individuals should follow China’s example and earn strong interventions immediately. Earlier strong prevention measures could efficiently stop the independent, self-sustaining outbreaks in other cities globally. Most Representative Paper: Simulating the Infected Population and Spread Trend of 2019-nCov Under Different Policy by EIR Model Percentage of Documents With Topic: 7% 6. New Rapid Genetic Diagnostic Test Identified for COVID-19 Keywords: test, pcr, sample, rt, lamp, diagnostic, reverse, nucleic, swab, screen

Looking at nucleotides. Illustration by Author Quantitative reverse transcription PCR (qRT-PCR) is now the common for COVID-19 detection; however, Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) may allow for faster and cheaper field-based testing at point-of-risk. The objective with this study ended up being produce a rapid screening diagnostic test that might be carried out under 30 minutes. Most Representative Paper: Rapid Detection of Novel Coronavirus (COVID19) by Reverse Transcription-Loop-Mediated Isothermal Amplification Percentage of Documents With Topic: 5% 7. Distinguishing COVID-19 and also other infections quickly Keywords: low, patient, acid, fever, lung, opacity, ground, process, feature, image Coronavirus in disguise. Illustration by Author Little may be known about the distinguishable clinical features between COVID-19 and nucleic acid negative patients in fever clinics. The highest nucleic acid detection rate for 2019-nCoV infection was observed in patients with muscle ache, then dyspnea. The combination of fever, lower accounts of eosinophils and also the imaging popular features of ground-glass opacity in bilateral lungs may well be a valuable indicator for 2019-nCoV infection. Most Representative Paper: Analysis of 2019-nCoV Infection and Clinical Manifestations of Outpatients: An Epidemiological Study from the Fever Clinic in Wuhan, China Percentage of Documents With Topic: 5% 8. Who is most at risk for Severe Infection of COVID-19? Keywords: patient, symptom, system, government, people, age, person, significantly, improve, renal Identifying that is in danger. Illustration by Author Investigations confirmed there was no significant age limit to the infectivity from the population, but older adults were still vulnerable groups. Patients with diabetes were very likely to grow into severe patients, as well as the probability of admission to the ICU was significantly increased. Most Representative Paper: Epidemiological and Clinical Features of 197 Patients Infected with 2019 Novel Coronavirus in Chongqing, China: A Single Center Descriptive Study Percentage of Documents With Topic: 4% 9. Treatments for Severe COVID-19 Keywords: severe, respiratory, treatment, acute, method, syndrome, similar, level, origin, occur ITU. Illustration by Author COVID-19 infection causes severe respiratory disease, much like severe acute respiratory syndrome coronavirus, and is linked to ICU entry and high mortality. We have studied the origin, epidemiology, treatment methods along with other aspects, based on the plan of action formulated by Wuhan Union Hospital, certified by the Ministry of Health of China, hopefully to produce an effective treatment method to decrease the mortality of the disease. Most Representative Paper: Clinical Characteristics and Treatment of Patients Infected with COVID-19 in Shishou, China Percentage of Documents With Topic: 4% Conclusion I enjoyed this weekend project — it turned out my first attempt to use some NLP skills to a problem. I know people which will see problems with my approach (please get in touch with me), but this idea is intriguing. I guess it’s like another type of summarization and also the more I have fun with it, the more I think in regards to the possibilities for medical and academic research. Words, words everywhere. Illustration by Author Perhaps some sort of wine social where we invite academic authors based on clustered topic keywords and do a little sort of person matching in line with the topic crossover %. I better hold on there before I provide any more fantastic ideas for free. Feedback welcome! Full Disclaimer: I work being a product manager for Elsevier. This blog post and analysis is of own creation along with no way represent the minds and opinions of Elsevier.

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