scholarly journals Co-evolution of COVID-19 Research and China’s Policies

2020 ◽  
Author(s):  
Cheng Xi ◽  
Tang Li ◽  
Zhou Maotian ◽  
Wang Guoyan

Abstract The dynamics of research are a prism that reflects interactions between science, the societal environment, and government policies. Against the backdrop of the ongoing global COVID-19 pandemic, this study explored the changes in, and development of, COVID-19 research in the period from December 30, 2019 to April 27, 2020. The study observes a salient change in research content: an earlier focus on “all patients”, “common symptoms”, and “nucleic acid test” was gradually replaced by a focus on “children”, “pregnant patients”, “severe symptoms”, and a combination of “nucleic acid test” and “antibody assay”. Some topics such as “vaccine R&D”, “knowledge, attitude, and practice” (KAP), and “mental health” were persistent throughout the recent history of China’s COVID-19 research. This study also reveals a correlation between the evolution of COVID-19 policies and the dynamic development of COVID-19 research. In the early stage of the outbreak in China, the formulation of COVID-19 policies followed a rapidly-progressing co-evolutionary model (CEM). The results of this study apply more broadly to the formulation of policies in public health emergencies, especially in the early stages.

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 723-727
Author(s):  
Xin Wang ◽  
Peng Wen ◽  
Zhi-Gang Sun ◽  
Chun-Yan Xing ◽  
Yun Li

AbstractIn December 2019, novel coronavirus pneumonia-19 (COVID-19) was discovered in the viral pneumonia cases that occurred in Wuhan, China, and then quickly spread around the world. This report described the clinical course of two COVID-19 patients and the purpose of the study was to discuss the combination of chest CT and clinical features for diagnosis of COVID-19. The first case was a typical COVID-19 case. A 66-year-old female presented to our hospital with a 3-day history of fever. She had contact with a COVID-19 patient. Chest CT showed a typical COVID-19 appearance. She was diagnosed with COVID-19 by a positive nucleic acid test. The second case was a 50-year-old male with a 2-day history of fever. He denied having been to Wuhan. Chest CT also showed typical features of COVID-19 pneumonia. COVID-19 nucleic acid tests were repeated up to seven times and the results remained controversial. Eventually, he was diagnosed with COVID-19. Our study shows that chest CT has high sensitivity for diagnosis of COVID-19 in clinical practice, particularly when the nucleic acid test is negative. The chest CT should be considered as a diagnostic tool for the COVID-19 screening, comprehensive evaluation, and follow-up and patients would benefit from effective treatments in time.


2020 ◽  
Author(s):  
Xin Wang ◽  
Peng Wen ◽  
Zhi-Gang Sun ◽  
Chun-Yan Xing ◽  
Yun Li

Abstract Background: In December 2019, novel coronavirus pneumonia-19 (COVID-19) was discovered in the viral pneumonia cases that occurred in Wuhan, Hubei Province, China; and then quickly spread inside and outside of Wuhan and even other countries. This report describes the clinical course of two patients who had COVID-19.Case presentation: The first case was a typical COVID-19 case. A 66-year-old female presented to our hospital with a 3-day history of fever with coughing, white sputum, runny nose and dizziness. She had contacted with a COVID-19 patient, her daughter-in-law who was diagnosed with COVID-19 two days before. Chest CT showed typical COVID-19 CT imaging. She was diagnosed with COVID-19 by positive nucleic acid test. The second case was a 50-year-old male with a 2-day history of fever and dry coughing. He denied having been to Wuhan. Chest CT also showed typical COVID-19 CT imaging. He accepted COVID-19 nucleic acid test using reverse-transcription polymerase chain reaction of his throat swab sampling 7 times and the test results remained controversial. Eventually, he was diagnosed with COVID-19 after 5 days.Conclusions: Chest CT examination has high sensitivity for diagnosis of COVID-19 clinically, particularly when nucleic acid test is negative. Chest CT should be considered for the COVID-19 screening, comprehensive evaluation and following-up and patients could benefit from effective treatment in time.


2021 ◽  
Vol 9 ◽  
pp. 205031212110343
Author(s):  
Bedru Jemal ◽  
Zemedu Aweke ◽  
Simeneh Mola ◽  
Sileshi Hailu ◽  
Sileshi Abiy ◽  
...  

Background: An emerging respiratory disease abbreviated as coronavirus disease 2019 was first reported in December 2019 in Wuhan city of China. The virus is zoonotic and tends to be transmitted between animals to humans and humans to humans. The major route of transmission of coronavirus disease 2019 is droplet and close contact. The Ethiopian Ministry of Health has initiated training for health care workers at a different level. Thus, the main objective of this study is to assess the knowledge, attitudes, and practices of health workers in Ethiopia toward coronavirus disease 2019 and its prevention techniques. Method: An institution-based multicenter cross-sectional study was conducted in each of eight teaching and referral hospitals. A total of 422 Ethiopian healthcare workers were selected for the assessment of knowledge, attitude, and practice toward coronavirus disease 2019. Data were collected using a structured questionnaire. A logistic regression model was used to identify factors associated with the attitude and knowledge of healthcare workers toward coronavirus disease 2019 at a significance level of p < 0.05. Result: Three hundred ninety-seven healthcare workers participated in the study, with a response rate of 94%. Among these, 88.2% and 94.7% of respondents had good knowledge and positive attitudes, respectively. A respondent with a history of chronic medical illness (odds ratio: 0.193, 95% confidence interval: 0.063–0.593), social media, telecommunication, and television/radio as a source of information were significantly associated with knowledge (odds ratio: 3.4, 95% confidence interval: 1.5–7.4, OR: 4.3, 95% confidence interval: 1.3–14.3 and odds ratio: 3.2, 95% confidence interval: 1.4–7.2). In addition, respondents with a history of chronic medical illness were significantly associated with a negative attitude toward coronavirus disease 2019. Conclusion: The knowledge and attitude were good while; the practice was relatively low. Sources of information such as social media, telecommunication, and television/radio were positively associated with healthcare workers' knowledge about coronavirus disease 2019.


Transfusion ◽  
2014 ◽  
Vol 55 (2) ◽  
pp. 395-404 ◽  
Author(s):  
Lunan Wang ◽  
Le Chang ◽  
Yunzheng Xie ◽  
Chengyin Huang ◽  
Lei Xu ◽  
...  

2020 ◽  
Author(s):  
Mei Han ◽  
Jingbo Zou ◽  
Wenguang Tian ◽  
Xiaoyu Wei ◽  
Yang Zhou ◽  
...  

Abstract Background: The outbreak of the novel coronavirus in China (COVID-19) represents a significant and urgent threat to global health. We report here five cases of COVID-19 infection patients in our clinical practices who are medically stable and presumed to successfully “cleared” the virus after antiviral treatments. Case presentation: The clinical evaluation depends on the viral nucleic acid test in respiratory specimens by real-time PCR reverse transcription (RT-PCR) assays according to the authorized guidance. We found that the stool samples of these cured patients remain positive in RT-PCR assay while the virus is undetectable in respiratory specimens. RT-PCR molecular diagnostic assay was designed to specifically detect the presence of viral RNA. Thus, the positive result in the fecal specimens implies the existence of viable virions with the patients. Conclusions: This highlights the importance to look closely at the assessment standard of medical treatment, as well as the need for reevaluation of the criteria for the initial screening, prevention, and care of patients with this emerging infection.


Medicine ◽  
2021 ◽  
Vol 100 (48) ◽  
pp. e27933
Author(s):  
Yanru Cui ◽  
Jilin Wang ◽  
Gaofeng Wang ◽  
Xiuguo Xie ◽  
Lizhen Tian

2021 ◽  
pp. 131138
Author(s):  
Yinhuan Wu ◽  
Jun Liu ◽  
Hai-tao Li ◽  
Ting Zhang ◽  
Yi Dong ◽  
...  

2020 ◽  
Vol 597 ◽  
pp. 113672 ◽  
Author(s):  
Fangyuan Zheng ◽  
Sufang Li ◽  
Sunan Wang ◽  
Tao Feng ◽  
Zejun Jiang ◽  
...  

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