Use of Artificial Intelligence (AI) in Fighting With the Novel Coronavirus (COVID-19)

Author(s):  
Anuja Rajendra Jadhav ◽  
Roshani Raut ◽  
Ram Joshi ◽  
Pranav D. Pathak ◽  
Anuja R. Zade

2020 started with the outbreak of the novel coronavirus (COVID-19) virus. In this panic situation, the combination of artificial intelligence (AI) can help us in fight against the deadliest virus attack worldwide. This tool can be used to control and prevention of the outbreak disease. The AI tool can be helpful in prediction, detection, response, recovery, drug discovery of the disease. The AI-driven tools can be used in identifying the nature of outbreak as well as in forecasting the spread and coverage worldwide. In this case, so many AI-based tools can be applied and trained using active learning-based models for the detection, prevention, treatment, and recovery of the patients. Also, they can help us for identifying infected persons from the non-infected to stop the spread of the virus. This chapter mainly focuses on the AI-assisted methodology and models that can help in fighting COVID-19.

2021 ◽  
Author(s):  
Robin Sinha ◽  
Preeti P

The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has killed over 5 million people to date. Despite the introduction of population-wide vaccination drives, countries such as Austria and Germany are witnessing the re-emergence of infections and deaths. Scientists, administrators and clinicians are scrambling to find solutions that include vaccines, and active therapeutic agents. So, there is an urgent requirement for new and effective medications that can treat the disease caused by SARS-CoV-2. Artificial intelligence (AI) enabled drug repurposing, has the potential to shorten the time and reduce the cost compared to de novo drug discovery.


2021 ◽  
Vol 4 (4) ◽  
pp. 311-323
Author(s):  
Venkataramana Kandi ◽  
Tarun Kumar Suvvari ◽  
Sabitha Vadakedath ◽  
Vikram Godishala

Because of the frequent emergence of novel microbial species and the re-emergence of genetic variants of hitherto known microbes, the global healthcare system, and human health has been thrown into jeopardy. Also, certain microbes that possess the ability to develop multi-drug resistance (MDR) have limited the treatment options in cases of serious infections, and increased hospital and treatment costs, and associated morbidity and mortality. The recent discovery of the novel Coronavirus (n-CoV), the Severe Acute Respiratory Syndrome CoV-2 (SARS-CoV-2) that is causing the CoV Disease-19 (COVID-19) has resulted in severe morbidity and mortality throughout the world affecting normal human lives. The major concern with the current pandemic is the non-availability of specific drugs and an incomplete understanding of the pathobiology of the virus. It is therefore important for pharmaceutical establishments to envisage the discovery of therapeutic interventions and potential vaccines against the novel and MDR microbes. Therefore, this review is attempted to update and explore the current perspectives in microbes, clinical research, drug discovery, and vaccine development to effectively combat the emerging novel and re-emerging genetic variants of microbes.


2020 ◽  
Vol 3 (2) ◽  
pp. 124-133
Author(s):  
Fabricia Oliveira Oliveira ◽  
Larissa Moraes dos Santos Fonseca ◽  
Roberto Badaró ◽  
Bruna Aparecida Souza Machado

In less than a year, the novel coronavirus rapidly changed the world scenario. To dealing with the fast spread of the disease, health associations coordinate data flows and issue guidelines to better mitigate the impact of the threat. Also, scientific groups around the world are working to ensure that all information about the mechanisms of the virus, transmission, and disease clinics is updated as the disease progresses. The objective of this study was to present the guidelines and recommendations for preventing, management strategies, clarifications about pandemics disinformation, and diagnosing COVID-19 infection in human specimens adopted from the main health centers and institutions in the world, such as WHO and Centers for Disease Control and Prevention (CDC). It is important to highlight that the rapid and effective enforcement of existing international and national action plans, as well as parallel review and improvisation, is facilitating the affected countries to contain transmission and possibly delay the peak of outbreak and mortality.


Author(s):  
S. O. Yastremska ◽  
O. M. Krekhovska-Lepiavko ◽  
B. A. Lokay ◽  
O. V. Bushtynska ◽  
S. V. Danchak

Summary. The first known case of infection from the novel coronavirus was recorded almost one year ago, in China’s Hubei province. The city of Wuhan was infamous the world over as the original virus epicenter, seeing more than half of China’s reported cases and deaths. The outbreak of COVID-19 virus, as sickened more than 14.7 million people. At least 610.200 people have died. The aim of the study – to analyze and systematize the literature data about the influence of chronic diseases on the manifestation of COVID-19 infection. Materials and Methods. The study uses publications of the world scientific literature on COVID-19 infection, in particular the causes and mechanisms of its development, treatment, complications and its consequences as well as the influence of different chronic disorders on the course of COVID-19. Results. A sample of patients hospitalized with COVID-19 across 14 states of the USA in March was analyzed by The Centers for Disease Control and Prevention. It was found that many (89 %) had underlying health problem and 94 % of patients were at the age 65 and older. The case fatality rate for those under age 60 was 1.4 percent. For those over age 60, the fatality rate jumps to 4.5 percent. The older the population, the higher the fatality rate. For those 80 and over, Covid-19 appears to have a 13.4 percent fatality rate. Moreover, it was recognized, that older adults don't present in a typical way of the course of different disorders, and we're seeing that with Covid-19 as well. Conclusions. Chronic diseases and conditions are on the rise worldwide. COVID-19 became the most challenging pandemic influencing all countries worldwide. Chronic diseases are suggested to be one of the main causes of different life-threatening complications of COVID-19 infection and one of the main factors of poor prognosis for the patients.


2020 ◽  
Author(s):  
Ramzi Fatfouta ◽  
Yulia Oganian

Face masks play a pivotal role in the control and prevention of respiratory diseases, such as the novel coronavirus (COVID-19). Despite their widespread use, it is not known how face masks affect human social interaction. In this behavioral economics study (N = 475), we examined how mask-wearing modulates individuals’ likelihood of acceptance of unfair monetary offers in an iterated social exchange. Overall, participants accepted more offers, including more unfair offers, from mask-wearing opponents than from opponents without a mask. This effect was enhanced when participants ascribed more altruistic motives to their interaction partner. Importantly, this pattern of results was only present for surgical face masks, but not when a non-medical cloth face covering was used. This is the first study to uncover a new phenomenon, the face-mask effect, in which face masks can alter human social behavior.


Author(s):  
Nur Hidayah Che Ahmat ◽  
Syafiqah Rahamat ◽  
Susan Wohlsdorf Arendt

The novel Coronavirus disease (COVID-19) first appeared in December 2019 in Wuhan, Hubei Province China before emerging in neighbouring countries in early 2020. The World Health Organization (WHO) declared COVID-19 a pandemic when the spreading of the virus started accelerating in many parts of the world and killing thousands of people. As of 22nd May 2021, there were more than 166 million confirmed cases with more than 147 million recovered and nearly 3.5 million deaths (Worldometers, n.d.). According to the WHO (2020) and Centers for Disease Control and Prevention (2020), the virus easily spreads through coughing and sneezing. Therefore, many countries implemented social distancing between individuals and various other restriction orders or recommendations (e.g., stay-at-home policies, closure of non-essential businesses) to help curb virus spread. How governments in each country reacted to control the spread of the virus appeared crucial to mitigate public health and economic impacts. Keywords: Foodservice, Hospitality, Hotel, Malaysia, Pandemic


Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 154 ◽  
Author(s):  
Gopi Battineni ◽  
Nalini Chintalapudi ◽  
Francesco Amenta

Since the discovery of the Coronavirus (nCOV-19), it has become a global pandemic. At the same time, it has been a great challenge to hospitals or healthcare staff to manage the flow of the high number of cases. Especially in remote areas, it is becoming more difficult to consult a medical specialist when the immediate hit of the epidemic has occurred. Thus, it becomes obvious that if effectively designed and deployed chatbot can help patients living in remote areas by promoting preventive measures, virus updates, and reducing psychological damage caused by isolation and fear. This study presents the design of a sophisticated artificial intelligence (AI) chatbot for the purpose of diagnostic evaluation and recommending immediate measures when patients are exposed to nCOV-19. In addition, presenting a virtual assistant can also measure the infection severity and connects with registered doctors when symptoms become serious.


Author(s):  
Zhidong Cao ◽  
Qingpeng Zhang ◽  
Xin Lu ◽  
Dirk Pfeiffer ◽  
Lei Wang ◽  
...  

AbstractEstimating the key epidemiological features of the novel coronavirus (2019-nCoV) epidemic proves to be challenging, given incompleteness and delays in early data reporting, in particular, the severe under-reporting bias in the epicenter, Wuhan, Hubei Province, China. As a result, the current literature reports widely varying estimates. We developed an alternative geo-stratified debiasing estimation framework by incorporating human mobility with case reporting data in three stratified zones, i.e., Wuhan, Hubei Province excluding Wuhan, and mainland China excluding Hubei. We estimated the latent infection ratio to be around 0.12% (18,556 people) and the basic reproduction number to be 3.24 in Wuhan before the city’s lockdown on January 23, 2020. The findings based on this debiasing framework have important implications to prioritization of control and prevention efforts.One Sentence SummaryA geo-stratified debiasing approach incorporating human movement data was developed to improve modeling of the 2019-nCoV epidemic.


2021 ◽  
Author(s):  
Sang Ho Park ◽  
Haley Siddiqi ◽  
Daniela V. Castro ◽  
Anna De Angelis ◽  
Aaron L. Oom ◽  
...  

AbstractSARS-CoV-2 is the novel coronavirus that is the causative agent of COVID-19, a sometimes-lethal respiratory infection responsible for a world-wide pandemic. The envelope (E) protein, one of four structural proteins encoded in the viral genome, is a 75-residue integral membrane protein whose transmembrane domain exhibits ion channel activity and whose cytoplasmic domain participates in protein-protein interactions. These activities contribute to several aspects of the viral replication-cycle, including virion assembly, budding, release, and pathogenesis. Here, we describe the structure and dynamics of full-length SARS-CoV-2 E protein in hexadecylphosphocholine micelles by NMR spectroscopy. We also characterized its interactions with four putative ion channel inhibitors. The chemical shift index and dipolar wave plots establish that E protein consists of a long transmembrane helix (residues 8-43) and a short cytoplasmic helix (residues 53-60) connected by a complex linker that exhibits some internal mobility. The conformations of the N-terminal transmembrane domain and the C-terminal cytoplasmic domain are unaffected by truncation from the intact protein. The chemical shift perturbations of E protein spectra induced by the addition of the inhibitors demonstrate that the N-terminal region (residues 6-18) is the principal binding site. The binding affinity of the inhibitors to E protein in micelles correlates with their antiviral potency in Vero E6 cells: HMA ≈ EIPA > DMA >> Amiloride, suggesting that bulky hydrophobic groups in the 5’ position of the amiloride pyrazine ring play essential roles in binding to E protein and in antiviral activity. An N15A mutation increased the production of virus-like particles, induced significant chemical shift changes from residues in the inhibitor binding site, and abolished HMA binding, suggesting that Asn15 plays a key role in maintaining the protein conformation near the binding site. These studies provide the foundation for complete structure determination of E protein and for structure-based drug discovery targeting this protein.Author SummaryThe novel coronavirus SARS-CoV-2, the causative agent of the world-wide pandemic of COVID-19, has become one of the greatest threats to human health. While rapid progress has been made in the development of vaccines, drug discovery has lagged, partly due to the lack of atomic-resolution structures of the free and drug-bound forms of the viral proteins. The SARS-CoV-2 envelope (E) protein, with its multiple activities that contribute to viral replication, is widely regarded as a potential target for COVID-19 treatment. As structural information is essential for drug discovery, we established an efficient sample preparation system for biochemical and structural studies of intact full-length SARS-CoV-2 E protein and characterized its structure and dynamics. We also characterized the interactions of amilorides with specific E protein residues and correlated this with their antiviral activity during viral replication. The binding affinity of the amilorides to E protein correlated with their antiviral potency, suggesting that E protein is indeed the likely target of their antiviral activity. We found that residue asparagine15 plays an important role in maintaining the conformation of the amiloride binding site, providing molecular guidance for the design of inhibitors targeting E protein.


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