Open Access
Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
---|---|---|
Article Number | 04006 | |
Number of page(s) | 5 | |
Section | Information System, Big Data, Design Application, IOT | |
DOI | https://doi.org/10.1051/e3sconf/202132804006 | |
Published online | 06 December 2021 |
- T. D. Pham, L. Dwyer, J.-J. Su, and T. Ngo, “COVID-19 impacts of inbound tourism on Australian economy,” Ann. Tour. Res., vol. 88, p. 103179, (2021), doi: https://doi.org/10.1016/j.annals.2021.103179. [CrossRef] [Google Scholar]
- E. Razumovskaia, L. Yuzvovich, E. Kniazeva, M. Klimenko, and V. Shelyakin, “The Effectiveness of Russian Government Policy to Support SMEs in the COVID-19 Pandemic,” Journal of Open Innovation: Technology, Market, and Complexity , vol. 6, no. 4. (2020), doi: 10.3390/joitmc6040160. [CrossRef] [Google Scholar]
- S. E. Obi, T. Yunusa, A. N. Еzеoguеri-Oyеwolе, S. S. Sekpe, E. Egwemi, and A. S. Isiaka, “The Socio-Economic Impact of Covid-19 on The Economic Activities of Selected States in Nigeria,” Indones. J. Soc. Environ. Issues, vol. 1, no. 2 SE-, pp. 39–47, Aug. (2020), doi: 10.47540/ijsei.v1i2.10. [Google Scholar]
- T. Hale et al., “A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker),” Nat. Hum. Behav., vol. 5, no. 4, pp. 529–538, (2021), doi: 10.1038/s41562-021-01079-8. [CrossRef] [Google Scholar]
- A. Altiparmakis, A. Bojar, S. Brouard, M. Foucault, H. Kriesi, and R. Nadeau, “Pandemic politics: policy evaluations of government responses to COVID-19,” West Eur. Polit., vol. 44, no. 5–6, pp. 1159–1179, Sep. (2021), doi: 10.1080/01402382.2021.1930754. [CrossRef] [Google Scholar]
- F. C. Permana, Z. M. Wicaksono, C. Kurniawan, A. S. Abdullah, and B. N. Ruchjana, “Perception analysis of the Indonesian society on twitter social media on the increase in BPJS kesehatan contribution in the Covid 19 pandemic era,” J. Phys. Conf. Ser., vol. 1722, p. 12022, (2021), doi: 10.1088/17426596/1722/1/012022. [CrossRef] [Google Scholar]
- J. R. Larsen, M. R. Martin, J. D. Martin, P. Kuhn, and J. B. Hicks, “Modeling the Onset of Symptoms of COVID-19,” Frontiers in Public Health , vol. 8. p. 473, (2020), [Online]. Available: https://www.frontiersin.org/article/10.3389/fpubh.2020.00473. [CrossRef] [PubMed] [Google Scholar]
- X. Song, M. Delaney, R. K. Shah, J. M. Campos, D. L. Wessel, and R. L. DeBiasi, “Comparison of Clinical Features of COVID-19 vs Seasonal Influenza A and B in US Children,” JAMA Netw. Open, vol. 3, no. 9, pp. e2020495–e2020495, Sep. (2020), doi: 10.1001/jamanetworkopen.2020.20495. [CrossRef] [Google Scholar]
- J. Czubak, K. Stolarczyk, A. Orzeł, M. Frączek, and T. Zatoński, “Comparison of the clinical differences between COVID-19, SARS, influenza, and the common cold: A systematic literature review,” Adv. Clin. Exp. Med., vol. 30, no. 1, pp. 109–114, (2021), doi: 10.17219/acem/129573. [CrossRef] [PubMed] [Google Scholar]
- M. Honigsbaum and L. Krishnan, “Taking pandemic sequelae seriously: from the Russian influenza to COVID-19 long-haulers,” Lancet, vol. 396, no. 10260, pp. 1389–1391, Oct. (2020), doi: 10.1016/S0140-6736(20)32134-6. [CrossRef] [PubMed] [Google Scholar]
- W. B. Grant, C. A. Baggerly, and H. Lahore, “Reply: ‘Vitamin D Supplementation in Influenza and COVID-19 Infections. Comment on: Evidence That Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths Nutrients 2020, 12(4), 988,’” Nutrients , vol. 12, no. 6. (2020), doi: 10.3390/nu12061620. [Google Scholar]
- A. Pormohammad et al., “Comparison of influenza type A and B with COVID-19: A global systematic review and meta-analysis on clinical, laboratory and radiographic findings,” Rev. Med. Virol., vol. 31, no. 3, p. e2179, May (2021), doi: https://doi.org/10.1002/rmv.2179. [CrossRef] [PubMed] [Google Scholar]
- C. H. Yan, F. Faraji, D. P. Prajapati, C. E. Boone, and A. S. DeConde, “Association of chemosensory dysfunction and COVID-19 in patients presenting with influenza-like symptoms,” Int. Forum Allergy Rhinol., vol. 10, no. 7, pp. 806–813, Jul. (2020), doi: https://doi.org/10.1002/alr.22579. [CrossRef] [PubMed] [Google Scholar]
- S. A. Hashemi et al., “Co-infection with COVID-19 and influenza A virus in two died patients with acute respiratory syndrome, Bojnurd, Iran,” J. Med. Virol., vol. 92, no. 11, pp. 2319–2321, Nov. (2020), doi: 10.1002/jmv.26014. [CrossRef] [PubMed] [Google Scholar]
- S. Zayet et al., “Clinical features of COVID-19 and influenza: a comparative study on Nord Franche-Comte cluster,” Microbes Infect., vol. 22, no. 9, pp. 481–488, (2020), doi: https://doi.org/10.1016/j.micinf.2020.05.016. [CrossRef] [PubMed] [Google Scholar]
- M. Liu, W. Zeng, Y. Wen, Y. Zheng, F. Lv, and K. Xiao, “COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia,” Eur. Radiol., vol. 30, no. 10, pp. 5463–5469, (2020), doi: 10.1007/s00330-020-06928-0. [CrossRef] [PubMed] [Google Scholar]
- A. Guillon, E. Laurent, L. Godillon, A. Kimmoun, and L. Grammatico-Guillon, “Interregional transfers for pandemic surges were associated with reduced mortality rates,” Intensive Care Med., vol. 47, no. 7, pp. 798–800, (2021), doi: 10.1007/s00134-021-06412-3. [CrossRef] [PubMed] [Google Scholar]
- A. J. Holmgren, N. C. Apathy, and J. Adler-Milstein, “Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic,” J. Am. Med. Informatics Assoc., vol. 27, no. 8, pp. 1306–1309, Aug. (2020), doi: 10.1093/jamia/ocaa112. [CrossRef] [Google Scholar]
- J. Bodilsen et al., “Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study,” BMJ, vol. 373, p. n1135, May (2021), doi: 10.1136/bmj.n1135. [CrossRef] [PubMed] [Google Scholar]
- P. Ayoub et al., “Medical Student Mobilization During a Pandemic: The Ochsner Clinical School Response to COVID-19,” Ochsner J., vol. 20, no. 2, pp. 146 LP – 150, Jun. (2020), doi: 10.31486/toj.20.0069. [CrossRef] [PubMed] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.