COVID-19 Airport network CLARA clustering Algorithm Centrality 1. Introduction Airlines provide long-distance transportation between continents and have been a popular mode of transportation for decades. More than any other mode of transportation (ocean or ground), air transport has benefited from advanc...
What does the underlined word introduction in Paragraph 3 mean? A A. Information. B. Pollution. C. Tradition. D. Attention.30. Which can be the best title for the passage? D A. New Ways to Visit a Zoo. B. Animal Protection. C. New Ways to Raise Money. D. Online Adoption. 相关...
(3)We can learn from the last paragraph that the author A.A.hopes to have long-lasting lockdown of human activitiesB.is challenging the extreme solutions in biodiversity protectionC.has a concern about international agenda in the post-COVID-19 worldD.believes that temporary lockdown will ...
In several cases the assumptions stated are not what is said in the paper. For example, Full Fact says the paper “assumes no effect from other measures already in place, like the Test and Trace system or local lockdowns” whereas the paragraph directly above the crucial calculation explicitly...
What does the underlined word “disruption" in the last paragraph mean?A.destructionB. eruptionC. breakD. construction35. Whatis the main idea of the passage?A. The introduction of PM2.5.B. The COVID-19 pandemic has caused great loss across the globe.C. IQAir measured the air pollution ...
B.How people can help to fight COVID-19. C.How people can stay away from COVID-19. D.How people can help each other go through the hard times. 3. What does Wang Yongbo tell us in the fourth paragraph? A.His love for books.B.His love for his work. ...
1. Introduction The emergence and rapid spread of the coronavirus disease (COVID-19) has posed an unprecedented threat to societies and economies. Assessing the pandemic's impact on different economic sectors is important not only to design policy interventions to facilitate the recovery process, but...
COVID-19; pandemics; vaccination; Brazil; opinion mining; temporal analysis; twitter data; misinformation1. Introduction Digital social networks have become popular channels for news dissemination and individual opinion sharing given the ease of access and speed of circulation of free information, being...
Keywords: epidemiological models; artificial neural networks; numerical simulations; diffusion; finite volumes; COVID-19 MSC: 92D301. Introduction On 31 December 2019, the Country Office in the People’s Republic of China of the World Health Organization (WHO) acquired media reports by Wuhan Munic...
Inverse probability weights were estimated for each care setting group using the approach outlined in the previous paragraph. Cause-specific hazard models with inverse probability weighting were then applied, and HRs, burdens and excess burdens were reported. We conducted multiple sensitivity analyses to...