Literature DB >> 33567770

Estimation of the Number of General Anesthesia Cases Based on a Series of Nationwide Surveys on Twitter during COVID-19 Pandemic in Japan: A Statistical Analysis.

Yosuke Fujii1, Hiroki Daijo2, Kiichi Hirota1.   

Abstract

Background and objectives: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread to more than 200 countries. In light of this situation, the Japanese Government declared a state of emergency in seven regions of Japan on 7 April 2020 under the provisions of the law. The medical care delivery system has been under pressure. Although various surgical societies have published guidelines on which to base their surgical decisions, it is not clear how general anesthesia has been performed and will be performed in Japan. Materials and
Methods: One of the services provided by the social network service Twitter is a voting function-Twitter Polls-through which anonymous surveys were conducted. We analyzed the results of a series of surveys 17 times over 22 weeks on Twitter on the status of operating restrictions using quadratic programming to solve the mathematical optimizing problem, and public data provided by the Japanese Government were used to estimate the current changes in the number of general anesthesia performed in Japan.
Results: The minimum number of general anesthesia cases per week was estimated at 67.1% compared to 2015 on 27 April 2020. The timeseries trend was compatible with the results reported by the Japanese Society of Anesthesiologists (correlation coefficient r = 0.69, p < 0.001). Conclusions: The number of general anesthesia was reduced up to two-thirds during the pandemic of COVID-19 in Japan and was successfully quantitatively estimated using a quick questionnaire on Twitter.

Entities:  

Keywords:  Twitter; coronavirus disease 2019 (COVID-19); general anesthesia; quadratic programming

Mesh:

Year:  2021        PMID: 33567770      PMCID: PMC7915187          DOI: 10.3390/medicina57020153

Source DB:  PubMed          Journal:  Medicina (Kaunas)        ISSN: 1010-660X            Impact factor:   2.430


  10 in total

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2.  The effect of COVID-19 on general anaesthesia rates for caesarean section. A cross-sectional analysis of six hospitals in the north-west of England.

Authors:  K Bhatia; M Columb; A Bewlay; J Eccles; M Hulgur; N Jayan; J Lie; D Verma; R Parikh
Journal:  Anaesthesia       Date:  2020-11-02       Impact factor: 6.955

3.  Our challenge is to adapt the organization of our system to the six stages of the epidemic to go beyond the COVID-19 crisis.

Authors:  J J Tuech; A Gangloff; L Schwarz
Journal:  Br J Surg       Date:  2020-04-30       Impact factor: 6.939

4.  Evaluating the collection, comparability and findings of six global surgery indicators.

Authors:  H Holmer; A Bekele; L Hagander; E M Harrison; P Kamali; J S Ng-Kamstra; M A Khan; L Knowlton; A J M Leather; I H Marks; J G Meara; M G Shrime; M Smith; K Søreide; T G Weiser; J Davies
Journal:  Br J Surg       Date:  2018-12-20       Impact factor: 6.939

5.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

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Journal:  Br J Surg       Date:  2020-03-23       Impact factor: 6.939

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Authors: 
Journal:  Br J Surg       Date:  2020-06-13       Impact factor: 6.939

8.  Droplets and Aerosols in the Transmission of SARS-CoV-2.

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Journal:  N Engl J Med       Date:  2020-04-15       Impact factor: 91.245

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  General Anesthesia Practices During the COVID-19 Pandemic in Turkey: A Cohort Study With a National Survey.

Authors:  Can Aksu; Sevim Cesur; Alparslan Kuş; Kamil Toker
Journal:  Cureus       Date:  2020-10-12
  10 in total

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