scholarly journals Twitter Speaks: An Analysis of Australian Twitter Users' Topics And Sentiments About COVID-19 Vaccination Using Machine Learning (Preprint)

2021 ◽  
Author(s):  
Stephen Wai Hang Kwok ◽  
Sai Kumar Vadde ◽  
Guanjin Wang

BACKGROUND The novel coronavirus disease (COVID-19) is one of the greatest threats to human beings in terms of healthcare, economy and society in recent history. Up to this moment, there are no signs of remission and there is no proven effective cure. The vaccine is the primary biomedical preventive measure against the novel coronavirus. However, the public bias or sentiments, as reflected on social media, may have a significant impact on the progress to achieve the herd immunity needed principally. OBJECTIVE This study aims to use machine learning methods to extract public topics and sentiments on the COVID-19 vaccination on Twitter. METHODS We collected 31,100 English tweets containing COVID-19 vaccine-related keywords between January and October 2020 from Australian Twitter users. Specifically, we analyzed the tweets by visualizing the high-frequency word clouds and correlations between word tokens. We built the Latent Dirichlet Allocation (LDA) topic model to identify the commonly discussed topics from massive tweets. We also performed sentiment analysis to understand the overall sentiments and emotions on COVID-19 vaccination in Australian society. RESULTS Our analysis identified three LDA topics, including "Attitudes towards COVID-19 and its vaccination", "Advocating infection control measures against COVID-19", and "Misconceptions and complaints about COVID-19 control". In all tweets, nearly two-thirds of the sentiments were positive, and around one-third were negative in the public opinion about the COVID-19 vaccine. Among the eight basic emotions, "trust" and "anticipation" were the two prominent positive emotions, while "fear" was the top negative emotion in the tweets. CONCLUSIONS Our new findings indicate that some Australian Twitter users supported infection control measures against COVID-19 and would refute misinformation. However, the others who underestimated the risks and severity of COVID-19 would probably rationalize their position on the COVID-19 vaccine with certain conspiracy theories. It is also noticed that the level of positive sentiment in the public may not be enough to further a vaccination coverage which would be sufficient to achieve vaccination-induced herd immunity. Governments should explore the public opinion and sentiments towards COVID-19 and its vaccination and implement an effective vaccination promotion scheme besides supporting the development and clinical administration of COVID-19 vaccines.

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 462-468
Author(s):  
Latika kothari ◽  
Sanskruti Wadatkar ◽  
Roshni Taori ◽  
Pavan Bajaj ◽  
Diksha Agrawal

Coronavirus disease 2019 (COVID-19) is a communicable infection caused by the novel coronavirus resulting in severe acute respiratory syndrome coronavirus 2 (SARS-CoV). It was recognized to be a health crisis for the general population of international concern on 30th January 2020 and conceded as a pandemic on 11th March 2020. India is taking various measures to fight this invisible enemy by adopting different strategies and policies. To stop the COVID-19 from spreading, the Home Affairs Ministry and the health ministry, of India, has issued the nCoV 19 guidelines on travel. Screening for COVID-19 by asking questions about any symptoms, recent travel history, and exposure. India has been trying to get testing kits available. The government of India has enforced various laws like the social distancing, Janata curfew, strict lockdowns, screening door to door to control the spread of novel coronavirus. In this pandemic, innovative medical treatments are being explored, and a proper vaccine is being hunted to deal with the situation. Infection control measures are necessary to prevent the virus from further spreading and to help control the current situation. Thus, this review illustrates and explains the criteria provided by the government of India to the awareness of the public to prevent the spread of COVID-19.


2020 ◽  
Vol 258 (5) ◽  
pp. 1049-1055 ◽  
Author(s):  
Tracy H. T. Lai ◽  
Emily W. H. Tang ◽  
Sandy K. Y. Chau ◽  
Kitty S. C. Fung ◽  
Kenneth K. W. Li

2021 ◽  
pp. 1-2
Author(s):  
Andrea Schulz

<b>Background:</b> The novel coronavirus (COVID-19) pandemic is expected to last for an extended time, making strict safety precautions for office procedures unavoidable. The lockdown is going to be lifted in many areas, and strict guidelines detailing the infection control measures for aesthetic clinics are going to be of particular importance. <b>Methods:</b> A virtual meeting was conducted with the members (n = 12) of the European Academy of Facial Plastic Surgery Focus Group to outline the safety protocol for the nonsurgical facial aesthetic procedures for aesthetic practices in order to protect the clinic staff and the patients from SARS-CoV-2 infection. The data analysis was undertaken by thematic and iterative approach. <b>Results:</b> Consensus guidelines for nonsurgical facial aesthetic procedures based on current knowledge are provided for three levels: precautions before visiting the clinic, precautions during the clinic visit, and precautions after the clinic visit. <b>Conclusions:</b> Sound infection control measures are mandatory for nonsurgical aesthetic practices all around the world. These may vary from country to country, but this logical approach can be customized according to the respective country laws and guidelines.


CJEM ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 445-449 ◽  
Author(s):  
Daniel J. Kim ◽  
Tomislav Jelic ◽  
Michael Y. Woo ◽  
Claire Heslop ◽  
Paul Olszynski

The World Health Organization declared the novel coronavirus disease 2019 (COVID-19) to be a pandemic on March 11, 2020, and, currently, there are over 10,000 confirmed cases in Canada, with this number expected to grow exponentially. There has been widespread interest in the use of point-of-care ultrasound (POCUS) in the management of patients with suspected COVID-19. The CAEP Emergency Ultrasound Committee has developed recommendations on the use of POCUS in these patients, with an emphasis on machine infection control measures.


2020 ◽  
Vol 99 (5) ◽  
pp. 481-487 ◽  
Author(s):  
L. Meng ◽  
F. Hua ◽  
Z. Bian

The epidemic of coronavirus disease 2019 (COVID-19), originating in Wuhan, China, has become a major public health challenge for not only China but also countries around the world. The World Health Organization announced that the outbreaks of the novel coronavirus have constituted a public health emergency of international concern. As of February 26, 2020, COVID-19 has been recognized in 34 countries, with a total of 80,239 laboratory-confirmed cases and 2,700 deaths. Infection control measures are necessary to prevent the virus from further spreading and to help control the epidemic situation. Due to the characteristics of dental settings, the risk of cross infection can be high between patients and dental practitioners. For dental practices and hospitals in areas that are (potentially) affected with COVID-19, strict and effective infection control protocols are urgently needed. This article, based on our experience and relevant guidelines and research, introduces essential knowledge about COVID-19 and nosocomial infection in dental settings and provides recommended management protocols for dental practitioners and students in (potentially) affected areas.


Author(s):  
Richard A. Neher ◽  
Robert Dyrdak ◽  
Valentin Druelle ◽  
Emma B. Hodcroft ◽  
Jan Albert

A novel coronavirus (SARS-CoV-2) first detected in Wuhan, China, has spread rapidly since December 2019, causing more than 80,000 confirmed infections and 2,700 fatalities (as of Feb 27, 2020). Imported cases and transmission clusters of various sizes have been reported globally suggesting a pandemic is likely.Here, we explore how seasonal variation in transmissibility could modulate a SARS-CoV-2 pandemic. Data from routine diagnostics show a strong and consistent seasonal variation of the four endemic coronaviruses (229E, HKU1, NL63, OC43) and we parameterize our model for SARS-CoV-2 using these data. The model allows for many subpopulations of different size with variable parameters. Simulations of different scenarios show that plausible parameters result in a small peak in early 2020 in temperate regions of the Northern Hemisphere and a larger peak in winter 2020/2021. Variation in transmission and migration rates can result in substantial variation in prevalence between regions.While the uncertainty in parameters is large, the scenarios we explore show that transient reductions in the incidence rate might be due to a combination of seasonal variation and infection control efforts but do not necessarily mean the epidemic is contained. Seasonal forcing on SARS-CoV-2 should thus be taken into account in the further monitoring of the global transmission. The likely aggregated effect of seasonal variation, infection control measures, and transmission rate variation is a prolonged pandemic wave with lower prevalence at any given time, thereby providing a window of opportunity for better preparation of health care systems.


2021 ◽  
Author(s):  
Tsuyoshi Hondou

Abstract After the first lockdowns in response to the COVID-19 outbreak, many countries faced difficulties in balancing infection control with economics. Due to limited prior knowledge, economists began researching this issue using cost-benefit analysis and found that infection control processes significantly affect economic efficiency. Rowthorn and Maciejowski [R. Rowthorn and J.A. Maciejowski, Oxford Rev. Econ. Policy 36, S38 (2020)] used economic parameters in the United Kingdom to numerically demonstrate that an optimal balance was found in the process, including keeping the infected population stationary. However, universally applicable knowledge, which is indispensable for the guiding principles of infection control, has not yet been developed because these analyses assume regional parameters and a specific disease. Here, we prove the universal result of economic irreversibility by applying the idea of thermodynamics to pandemic control. It means that delaying infection control measures is more expensive than implementing infection control measures early while keeping infected populations stationary. This implies that once the infected population increases, society cannot return to its previous state without extra expenditures. This universal result is analytically obtained by focusing on the infection-spreading phase of pandemics, which is applicable not only to COVID-19, and whether or not “herd immunity” exists. It also confirms the numerical observation of stationary infected populations in its optimally efficient process. Our findings suggest that economic irreversibility is a guiding principle for balancing infection control with economic effects.


2020 ◽  
Vol 8 (T1) ◽  
pp. 618-621
Author(s):  
Fareedi Mukram Ali ◽  
Kishor Patil ◽  
Elnur Ibrahim Albashir ◽  
Abdulhamid Aidarous Alamir

Novel coronavirus (nCoV) is a novel form of virus with a new strain identified recently in humans. Common clinical signs and symptoms primarily consist of fever, cough, and breathing difficulties. In severe cases, it can results in pneumonia, severe acute respiratory syndrome, kidney failure, and even death. It is important to follow all infection control measures in prevention of the nCoV from spreading and controlling the epidemic situation. The risk of cross infection can be high between dental practitioners and patients due to the features of dental clinical settings. Here, we are summarizing the nCoV related information and infection control measures to be followed in dental practice.


Author(s):  
Xiaofeng Luo ◽  
Shanshan Feng ◽  
Junyuan Yang ◽  
Xiao-Long Peng ◽  
Xiaochun Cao ◽  
...  

The ongoing outbreak of the novel coronavirus pneumonia (also known as COVID-19) has triggered a series of stringent control measures in China, such as city closure, traffic restrictions, contact tracing and household quarantine. These containment efforts often lead to changes in the contact pattern among individuals of the population. Many existing compartmental epidemic models fail to account for the effects of contact structure. In this paper, we devised a pairwise epidemic model to analyze the COVID-19 outbreak in China based on confirmed cases reported during the period February 3rd--17th, 2020. By explicitly incorporating the effects of family clusters and contact tracing followed by household quarantine and isolation, our model provides a good fit to the trajectory of COVID-19 infections and is useful to predict the epidemic trend. We obtained the average of the reproduction number $R=1.494$ ($95\%$ CI: $1.483-1.507$) for Hubei province and $R=1.178$ ($95\%$ CI: $1.145-1.158$) for China (except Hubei), suggesting that some existing studies may have overestimated the reproduction number by neglecting the dynamical correlations and clustering effects. We forecasted that the COVID-19 epidemic would peak on February 13th ($95\%$ CI: February $9-17$th) in Hubei and 6 days eariler in the regions outside Hubei. Moreover the epidemic was expected to last until the middle of March in China (except Hubei) and late April in Hubei. The sensitivity analysis shows that ongoing exposure for the susceptible and population clustering play an important role in the disease propagation. With the enforcement of household quarantine measures, the reproduction number $R$ effectively reduces and epidemic quantities decrease accordingly. Furthermore, we gave an answer to the public concern on how long the stringent containment strategies should maintain. Through numerical analysis, we suggested that the time for the resumption of work and production in China (except Hubei) and Hubei would be the middle of March and the end of April, 2020, respectively. These constructive suggestions may bring some immeasurable social-economic benefits in the long run.


2021 ◽  
Vol 16 (1) ◽  
pp. 61-69
Author(s):  
Noriko Shimasaki ◽  
Hideaki Morikawa ◽  
◽  

A new infectious disease caused by a novel coronavirus (COVID-19) has spread rapidly worldwide in 2020. The COVID-19 pandemic in Japan can be viewed as an urban disaster because transmission of this respiratory disease tends to occur in densely populated areas. A scientific understanding of the pathogen itself, the cause of the disaster (infectious disease), as well as infection control measures, are important to implement robust and appropriate countermeasures. This review discribes the features, especially the modes of transmission, of COVID-19 and the principles by which infection control is possible using one of the most effective infection control measures – personal protective equipment (PPE). Because COVID-19 is often transmitted to others by asymptomatic individuals through droplets, even those who are unaware of their infection should wear masks to prevent the spread of droplets that may contain the virus and effectively control the spread of disease. However, given the worldwide competition for masks and the urgent requirement of effective controls, it is necessary to conduct further research to establish a system that can supply adequate numbers of masks to regions where many people are infected in the country, with no shortage of masks, in order to make the country more resilient to disasters caused by infectious diseases in the future.


Sign in / Sign up

Export Citation Format

Share Document