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COVID-19 is a disease caused by a new strain of coronavirus. Up to 18th October 2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 million deaths. To improve diagnosis, we aimed to design and develop a novel advanced AI system for COVID-19 classification based on chest CT (CCT) images.

Our dataset from local hospitals consisted of 284 COVID-19 images, 281 community-acquired pneumonia images, 293 secondary pulmonary tuberculosis images; and 306 healthy control images. We first used pretrained models (PTMs) to learn features, and proposed a novel (L, 2) transfer feature learning algorithm to extract features, with a hyperparameter of number of layers to be removed (NLR, symbolized as

). Second, we proposed a selection algorithm of pretrained network for fusion to determine the best two models characterized by PTM and NLR. Third, deep CCT fusion by discriminant correlation analysis was proposed to help fuse the two features from the two models. Micro-averaged (MA) F1 score was used as the measuring indicator. The final determined model was named CCSHNet.

On the test set, CCSHNet achieved sensitivities of four classes of 95.61%, 96.25%, 98.30%, and 97.86%, respectively. The precision values of four classes were 97.32%, 96.42%, 96.99%, and 97.38%, respectively. The F1 scores of four classes were 96.46%, 96.33%, 97.64%, and 97.62%, respectively. The MA F1 score was 97.04%. In addition, CCSHNet outperformed 12 state-of-the-art COVID-19 detection methods.

CCSHNet is effective in detecting COVID-19 and other lung infectious diseases using first-line clinical imaging and can therefore assist radiologists in making accurate diagnoses based on CCTs.

CCSHNet is effective in detecting COVID-19 and other lung infectious diseases using first-line clinical imaging and can therefore assist radiologists in making accurate diagnoses based on CCTs.In December 2019, COVID-19 was detected in Wuhan, China, and declared a pandemic in March 2020. The Centers for Disease Control and Prevention (CDC) says it has been detected in nearly 200 countries and is an ongoing concern in the United States. Various reports provided anecdotal evidence that many ethnic minorities and specifically African Americans have become ill and died from COVID-19. Coincidentally, several states have provided data that at least initially corroborate the anecdotes. Narratives and descriptive data were compiled from medical and public health professionals to ascertain whether medical evidence supports the over-representation of state-level total infections and deaths of African Americans. The ramifications are critical for African Americans, non-medical professional, citizens, and also to the reduction and mitigation of the novel coronavirus as an American pandemic. The medical and health policy literature suggests that African Americans are burdened with a disproportionate share of persons contracting and dying due to COVID-19. Authors and witnesses believe that their occupation as essential workers, poverty, health access, government distrust, comorbidities, and Social Determinants of Health (SDH) are important factors for further research. For these reasons, federal funding of a rigorous and robust national public health study of COVID-19 and African Americans is highly recommended and the next logical step to develop mitigation strategies that reduce infection, mortality, and disparate medical outcomes.The need for a cheap, ubiquitous, sensitive, rapid, noninvasive means of screening large numbers of presymptomatic and asymptomatic samples at departure or arrival into ports of countries, high-risk areas, and within communities forms the subject of this review. The widely used diagnostic test for the SARS-CoV 2 is the real-time reverse transcription-polymerase chain reaction assay while antibody-based techniques are being introduced as supplemental tools, but the lack of specialized nucleic acid extraction and amplification laboratories hampers/slows down timely large-scale testing. The use of animals with sensitive olfactory cue as an alternate testing model could serve as an alternative to detect COVID-19 in the saliva of carriers. The African giant rats are highly versatile and detect odorant molecules from carriers of pathogens with high percentage success after few months of training, hence can be taught to detect odor differences of COVID-19 in asymptomatic and presymptomatic individuals. If these are trained, they could help to curtail further spread of COVID infections.This study explored the relationship between alcohol and substance use in the general population during the early stages of COVID-19 as related to individual, family, and community stressors. A convenience sample of adults who resided in the USA and Canada was utilized. An online survey was conducted. Over one-third of the sample reported utilizing alcohol and substances as a means to cope during the pandemic. A linear regression revealed that use of social media as a source of information, being personally affected by COVID-19, experiencing child care challenges, and not being associated with a religious community were related to increased likeliness for alcohol and/or substance use. Future research should explore these concepts further within the general population.This department reviews the WHO Academy COVID-19 Learning and WHO Info mobile apps.[This corrects the article DOI 10.1016/j.nurpra.2020.04.001.].Accessibility to health care is crucial to management of chronic and acute conditions. Although the severe acute respiratory syndrome coronavirus 2 pandemic significantly impacts the issue of access to health care, with the introduction of Waiver 1135, telehealth has become a positive strategy in increasing safe access to health care. selleckchem This report addresses considerations to take into account when advanced practice registered nurses use telehealth to facilitate access to care.Health care providers are coping with unprecedented deaths, decisions for which patient receives a lifesaving ventilator, and the personal fear of contracting a virus that presently has no known treatment protocol. This article discusses the concepts of moral injury; compassion fatigue; experiencing secondary stress associated with a continuous demanding daily work environment; and the idea of giving your patient a "good death" during a time when even if family and friends are present during the dying process, there is no touching, kissing, or ability to offer physical comfort. Suggestions for self-care for yourself and colleagues are discussed.