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Given the present initial evidence of exposure among bats in mainland China shown here, there is an urgent need to continue and expand surveillance studies for henipaviruses in China and elsewhere on the Asian continent.

Li, J. Wang, Y. Zhang, H. Zhang, J. Yuan, Z. Han, Z. Hickey, C. McCachern, L. Table of Contents — Volume 14, Number 12—December Please use the form below to submit correspondence to the authors or contact them at the following address:. Address for correspondence. Highlight and copy the desired format. Data is collected weekly and does not include downloads and attachments. View data is from. The Altmetric Attention Score for a research output provides an indicator of the amount of attention that it has received.

The score is derived from an automated algorithm, and represents a weighted count of the amount of attention Altmetric picked up for a research output. Malwarebytes found something files that I placed in quarantine, but the notifications still happen. Was this reply helpful? Yes No. Sorry this didn't help.

Thanks for your feedback. I have been receiving rectangular notification popups in the lower right corner of my screen in Windows 10 that contain the square white Windows logo and say: PC is infected Click to remove viruses sarpolitex. The data used in this study were collected from the official data repositories such as Johns Hopkins University, WHO and Worldometer official website.

It is one of the worst pandemics in human history. Recent studies reported that COVID is transmitted among humans by droplet infection or direct contact. COVID pandemic has invaded more than countries around the world and as of February 18 th , , just after a year has passed, a total of ,, confirmed cases of COVID were reported and its death toll reached about 2,, COVID is a new member of the family of corona viruses, its nature, behaviour, transmission, spread, prevention, and treatment are to be investigated.

Generally, a huge amount of data is accumulating regarding the COVID pandemic, which makes hot research topics for machine learning researchers. This study considered machine learning approaches to predict the spread of the COVID in many countries. The experimental results of the proposed model showed that the overall R2 is 0. A machine learning model has been developed to predict the estimation of the spread of the COVID infection in many countries and the expected period after which the virus can be stopped.

Globally, our results forecasted that the COVID infections will greatly decline during the first week of September when it will be going to an end shortly afterward. The WHO has specified that the main human-to-human transmission mechanism varies, but still can be generalized as direct contact with an infected person through shaking hands, exposure to droplets coming out during coughing or sneezing, and by traveling to an affected area and attaining the virus in one or other way.

The core symptoms of COVID highly vary, ranging from being severely affected to being asymptomatic and the infected individuals can experience from mild to very severe respiratory illnesses. High fever, cough, sore throat and muscular pain were the primary symptoms in most of the symptomatic cases.

However, severe cases suffer from pneumonia, micro-coagulopathies, and septic shock. Rapid clinical deterioration of the cases can lead to death Qiu et al. Mostly, old-aged people and those who have pre-existing medical conditions e. As of February 18 th , , a total of ,, confirmed cases of COVID were reported and its death toll reached about 2,, Worldometer However, the available information about COVID is being built up and its nature and characteristics are being discovered especially, its very quick ability to change its nature evolving new variants based on its accelerated genetic mutations.

Therefore, thoroughgoing observational studies are being performed to establish facts about COVID to find out treatment or a vaccine that may help in ending its pandemic Yang et al.

Many research studies on COVID are published and others are on the lane, and floods of huge data about it are constantly accumulating, without reaching a strong prediction about the transmission and end of the pandemic Yang et al. In our current study, we deployed machine learning approaches for predicting the spread of the virus in several selected countries. Yet, the same approach can be applied for predicting the spread of COVID infection in any other country, since the nature of the virus is nearly the same everywhere.

It presents the machine learning model as a method for predicting the transmission of COVID pandemic in an easily understandable way using statistical visualization graphs e. It determines the predictive value of the technique with quality and density of collected data of WHO.

It provides the governments and health authorities with the required information that helps in planning and decision-making. Machine learning and Artificial Intelligence AI models are essentially used to improve the prediction accuracy of diagnosis and the screening of non-infectious diseases.

Moreover, machine learning approaches are also widely used in the analysis and prediction of COVID survival rate, the discharge time of patients based on clinical data. Lai et al. Punn et al. Dandekar and Barbastathis recommended a mixture model that comprises of first-standards epidemiological conditions and an information-driven neural organization to gauge the stopping of the transmission of the COVID infection.

Finally, for the USA, they predicted the currently infected growth curve and predicted a halting of infection by April 20 th , Along these lines, it gave a few prescribed insurances on the whole settings to avoid getting the infection, for example, trying not to contact the face with unwashed hands, washing hands with soap and water for at least 20 s, or cleaning hands completely with gels, or tissues.

It likewise suggested physical distancing of at least one and a half meter or even working from home can diminish the danger of contamination World Health Organization WHO Former studies developed methods to achieve accurate and time-efficient predictions of the transmission of COVID However, these studies lack some promising features that are mainly related to their low accurate predictive results and lacking the promising features that enable the prediction of the highest possible accuracy of the confirmed cases with COVID The COVID pandemic is rapidly spreading all over the world, while there is no clear picture of how and why the virus is spreading among the people and involves more countries.

The number of infected cases is doubling and the healthcare systems are suffering even in the developed countries rather than the developing ones. The data used in this study were collected from official data repositories such as Johns Hopkins University, WHO and Worldometer official website.

These data shows the daily total COVID confirmed positive cases, daily and total deaths, and the total and daily recoveries. Table 1 shows a sample of the highest and lowest countries arranged in descending order by the number of confirmed cases. According to the WHO, the first corona-virus that was detected in the Chinese city of Wuhan in December has infected more than ,, people in at least countries and territories globally.

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