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Ho SYC, Chien TW, Chou W. Visualizing burst spots on research for four authors in MDPI journals named to be Citation Laureates 2021 using temporal bar graph. Medicine (Baltimore) 2023; 102:e34578. [PMID: 37565889 PMCID: PMC10419625 DOI: 10.1097/md.0000000000034578] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 07/13/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND The appearance of a topic in a document stream is signaled by a burst of activity, with certain features rising sharply in frequency as the topic emerges. Although temporal bar graph (TBG) is frequently applied to present the burst spot in the bibliographical study, none of the research has combined the inflection point (IP) to interpret the burst spot feature. The aims of this study are to improve the traditional TBG and apply the TBG to understand better the evolution of a topic (e.g., publications and citations for a given author). METHODS The EISTL model, including entity, indicator, selection of a few vital ones (named attributes) with higher values in quantity (e.g., the citation data of the top 10 entities), TBG and line-chart plots to verify the trend of interest, was proposed to demonstrate the TBG as a whole. The IP locations compared to the median point in data along with the heap map and line-chart trend were identified. The burst strength was computed. A dashboard on Google Maps was designed and launched for bibliometric analysis. Four authors in MDPI (Multidisciplinary Digital Publishing Institute) journals named to be Citation Laureates 2021 were recruited to compare their research achievements shown on the TBG, particularly displaying the burst spots and the recent developments and stages (e.g., increasing, ready to increase, slowdown, or decreasing). RESULTS We observed that the highest burst strengths in publication and citations are earned by Barry Halliwell (8.99) and Jean-Pierre Changeux (18.01). The breakthrough of TBG using the EISTL model to display the influence of authors in academics was made with 2 parts of the primary IP point and the trend feature in the data. CONCLUSION The dashboard-type TBG shown on Google Maps is unique and innovative and able to provide deeper insights to readers, not merely limited to the publications and citations for a given author as we did in this study.
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Affiliation(s)
- Sam Yu-Chieh Ho
- Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Tsair-Wei Chien
- Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan
| | - Willy Chou
- Department of Physical Medicine and Rehabilitation, Chiali Chi-Mei Hospital, Tainan, Taiwan
- Department of Physical Medicine and Rehabilitation, Chung San Medical University Hospital, Taichung, Taiwan
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Al-Saeedi F, Rajendran P, Tipre D, Aladwani H, Alenezi S, Alqabandi M, Alkhamis A, Redha A, Mohammad A, Ahmad F, Abdulnabi Y, Alfadhly A, Alrasheedi D. The effect of COVID-19 on nuclear medicine and radiopharmacy activities: A global survey. Sci Rep 2023; 13:10489. [PMID: 37380735 PMCID: PMC10307835 DOI: 10.1038/s41598-023-36925-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 06/12/2023] [Indexed: 06/30/2023] Open
Abstract
Globally, COVID-19 affected radiopharmaceutical laboratories. This study sought to determine the economic, service, and research impacts of COVID-19 on radiopharmacy. This online survey was conducted with the participation of employees from nuclear medicine and radiopharmaceutical companies. The socioeconomic status of the individuals was collected. The study was participated by 145 medical professionals from 25 different countries. From this work, it is evident that 2-deoxy-2-[18F]fluoro-D-glucose (2-[18F]FDG), and 99mTc-labeled macro aggregated albumin 99mTc-MAA were necessary radiopharmaceuticals used by 57% (83/145and 34% (49/145;) respondents, respectively for determining how COVID infections affect a patient's body. The normal scheduling procedure for the radiopharmacy laboratory was reduced by more than half (65%; 94/145). In COVID-19, 70% (102/145) of respondents followed the regulations established by the local departments. Throughout the pandemic, there was a 97% (141/145) decrease in all staffing recruitment efforts. The field of nuclear medicine research, as well as the radiopharmaceutical industry, were both adversely affected by COVID-19.
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Affiliation(s)
- Fatma Al-Saeedi
- The Department of Nuclear Medicine, College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait.
| | - Peramaiyan Rajendran
- Department of Biological Sciences, College of Science, King Faisal University, AlAhsa, Saudi Arabia
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, Tamil Nadu, India
| | - Dnyanesh Tipre
- Translational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Hassan Aladwani
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Salem Alenezi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Maryam Alqabandi
- The Department of Nuclear Medicine, College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Abdullah Alkhamis
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Abdulmohsen Redha
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Ahmed Mohammad
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Fahad Ahmad
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Yaaqoup Abdulnabi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Altaf Alfadhly
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Danah Alrasheedi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
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PandemonCAT: Monitoring the COVID-19 Pandemic in Catalonia, Spain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084783. [PMID: 35457649 PMCID: PMC9029369 DOI: 10.3390/ijerph19084783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/10/2022] [Accepted: 04/12/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The principal objective of this paper is to introduce an online interactive application that helps in real-time monitoring of the COVID-19 pandemic in Catalonia, Spain (PandemonCAT). METHODS This application is designed as a collection of user-friendly dashboards using open-source R software supported by the Shiny package. RESULTS PandemonCAT reports accumulated weekly updates of COVID-19 dynamics in a geospatial interactive platform for individual basic health areas (ABSs) of Catalonia. It also shows on a georeferenced map the evolution of vaccination campaigns representing the share of population with either one or two shots of the vaccine, for populations of different age groups. In addition, the application reports information about environmental and socioeconomic variables and also provides an interactive interface to visualize monthly public mobility before, during, and after the lockdown phases. Finally, we report the smoothed standardized COVID-19 infected cases and mortality rates on maps of basic health areas ABSs and regions of Catalonia. These smoothed rates allow the user to explore geographic patterns in incidence and mortality rates. The visualization of the variables that could have some influence on the spatiotemporal dynamics of the pandemic is demonstrated. CONCLUSIONS We believe the addition of these new dimensions, which is the key innovation of our project, will improve the current understanding of the spread and the impact of COVID-19 in the community. This application can be used as an open tool for consultation by the public of Catalonia and Spain in general. It could also have implications in facilitating the visualization of public health data, allowing timely interpretation due to the unpredictable nature of the pandemic.
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Ho SYC, Chien TW, Shao Y, Hsieh JH. Visualizing the features of inflection point shown on a temporal bar graph using the data of COVID-19 pandemic. Medicine (Baltimore) 2022; 101:e28749. [PMID: 35119031 PMCID: PMC8812627 DOI: 10.1097/md.0000000000028749] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/13/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Exponential-like infection growth leading to peaks (denoted by inflection points [IP] or turning points) is usually the hallmark of infectious disease outbreaks, including coronaviruses. To determine the IPs of the novel coronavirus (COVID-19), we applied the item response theory model to detect phase transitions for each country/region and characterize the IP feature on the temporal bar graph (TBG). METHODS The IP (using the item difficulty parameter to locate) was verified by the differential equation in calculus and interpreted by the TBG with 2 virtual and real empirical data (i.e., from Collatz conjecture and COVID-19 pandemic in 2020). Comparisons of IPs, R2, and burst strength [BS = ln() denoted by the infection number at IP(Nip) and the item slope parameter(a) in item response theory were made for countries/regions and continents on the choropleth map and the forest plot. RESULTS We found that the evolution of COVID-19 on the TBG makes the data clear and easy to understand, the shorter IP (=53.9) was in China and the longest (=247.3) was in Europe, and the highest R2 (as the variance explained by the model) was in the US, with a mean R2 of 0.98. We successfully estimated the IPs for countries/regions on COVID-19 in 2020 and presented them on the TBG. CONCLUSION Temporal visualization is recommended for researchers in future relevant studies (e.g., the evolution of keywords in a specific discipline) and is not merely limited to the IP search in COVID-19 pandemics as we did in this study.
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Affiliation(s)
- Sam Yu-Chieh Ho
- Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Tsair-Wei Chien
- Department of Medical Research, Chiali Chi-Mei Medical Center, Tainan, Taiwan
| | - Yang Shao
- School of Economics, Jiaxing University, Jiaxing, China
| | - Ju-Hao Hsieh
- Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
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