1
|
Sarıoğlu E, Sarıaltın SY, Çoban T. Neurological complications and effects of COVID-19: Symptoms and conceivable mechanisms. BRAIN HEMORRHAGES 2023; 4:154-173. [PMID: 36789140 PMCID: PMC9911160 DOI: 10.1016/j.hest.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 02/11/2023] Open
Abstract
A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in December 2019 in Wuhan, China. The new coronavirus disease (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March 2020. SARS-CoV-2 can invade the nervous system aside from infecting the respiratory system as its primary target. The most common nervous system symptoms of COVID-19 are stated as headache, myalgia, fatigue, nausea, vomiting, sudden and unexplained anosmia, and ageusia. More severe conditions such as encephalomyelitis, acute myelitis, thromboembolic events, ischemic stroke, intracerebral hemorrhage, Guillain-Barré-syndrome, Bell's palsy, rhabdomyolysis, and even coma have also been reported. Cohort studies revealed that neurological findings are associated with higher morbidity and mortality. The neurological symptoms and manifestations caused by SARS-CoV-2 and COVID-19 are examined and summarized in this article.
Collapse
Affiliation(s)
- Elif Sarıoğlu
- Ankara University, Faculty of Pharmacy, Department of Pharmaceutical Toxicology, 06560 Ankara, Turkey
| | - Sezen Yılmaz Sarıaltın
- Ankara University, Faculty of Pharmacy, Department of Pharmaceutical Toxicology, 06560 Ankara, Turkey
| | - Tülay Çoban
- Ankara University, Faculty of Pharmacy, Department of Pharmaceutical Toxicology, 06560 Ankara, Turkey
| |
Collapse
|
2
|
Ningrum EH, Kartika AW, Wibisono AH, Rahmawati IN, Noviyanti LW, Ahsan A, Putra KR, Setyawan UA, Andayani LT, Widayanti R, Purnanto AJ, Subroto G, Laili N, Anderson J. The effects of a ‘COVID Nurse Assistant’ application on patient satisfaction in COVID isolation rooms. HEALTHCARE IN LOW-RESOURCE SETTINGS 2023. [DOI: 10.4081/hls.2023.11168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
Introduction: The COVID-19 pandemic has caused a major shift in the healthcare delivery system. With the limited personal protection equipment and a nursing service shortage caused ineffective nursing care delivered to COVID-19 patients. Wearing full personal protective equipment (PPE) hinders nurse-patients communication and inhibiting the achievement of treatment goals. This study aims to examine the effect of a ‘COVID Nurse Assistant’ (CNA) application on patient satisfaction in COVID-19 isolation rooms.
Design and Methods: This was a comparative study with an experimental and control group design. The participants were patients confirmed positive with COVID-19 receiving care in an isolation room for at least three days and were fully conscious. The intervention used was accessing health information related to COVID-19 through a mobile-friendly application namely-‘COVID Nurse Assistant’. The instrument used was the Patient Satisfaction Questionnaire (PSQ-18) translated into Bahasa Indonesia. In addition, an independent t-Test was used to perform statistical analysis.
Results and Discussions: A total 158 respondents completed the online survey among of 219 eligible patients (72% response rate). The score in the general and financial satisfaction sub-scales reported by patients in the experimental group were significantly different from the control with p-values of 0.032 and 0.018 respectively. However, other subscales were not significantly different between the two groups.
Conclusions: The implementation of the CNA online application has noteworthy implications on patient satisfaction. However, further studies examining similar system in different clinical areas would provide better information for the optimal use of technology in patient education.
Collapse
|
3
|
Qian Y, Huang J, Zhao L, Cheong IH, Cao S, Xiong L, Zhu Q. Which Matters More in Fighting COVID-19—Government Policy or Community Participation? Front Public Health 2022; 10:927553. [PMID: 35903372 PMCID: PMC9315311 DOI: 10.3389/fpubh.2022.927553] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Objective As a heavily populated megacity, Shanghai faces major epidemic risks. However, Shanghai's control of COVID-19 has been successful owing to both the strict government policy and wide community participation. Here, we investigated the impact of these stakeholders and examined who played a major role across different epidemic stages. Design We extended the classic susceptible-exposed-infectious-recovered (SEIR) model considering the heterogeneous contact structure in four social sceneries, i.e., school, workplace, public entertainment venues, and neighborhood community, which could reflect the impact of lockdown policy and wide participation of residents happened at the community level. Result The simulation results showed that without lockdown policy and only with community participation, the daily new confirmed cases would gradually increase to more than 7,000 [292/1,000,000] at the end of Sep. However, without community participation and only with a lockdown policy, the daily new confirmed cases sharply decreased to 30 [1.2/1,000,000] at the end of the 1st month and remained low for several months. However, when a lockdown policy was gradually lifted, the new confirmed cases increased exponentially, eventually reaching more than 17,000 [708/1,000,000]. Therefore, a government lockdown policy was necessary for the rapid control of COVID-19 during the outbreak stage while community participation is more important in keeping the number of new confirmed cases low during the reopening stage. Conclusion Government lockdown policy and community participation play different roles in the control of COVID-19 at different stages of the epidemic: although the government played a leading role in setting up policies, the broader participation of community fever clinics (CFCs) and the general public were especially crucial in winning the battle against COVID-19 in the long run.
Collapse
Affiliation(s)
- Ying Qian
- Business School, University of Shanghai for Science and Technology, Shanghai, China
| | - Jiaoling Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Jiaoling Huang
| | - Laijun Zhao
- Business School, University of Shanghai for Science and Technology, Shanghai, China
| | - Io Hong Cheong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Siqi Cao
- Business School, University of Shanghai for Science and Technology, Shanghai, China
| | - Li Xiong
- School of Management, Shanghai University, Shanghai, China
| | - Qin Zhu
- School of Social Development and Public Policy, Fudan University, Shanghai, China
| |
Collapse
|
4
|
Cao C, Li Y, Fu S, Zhang Y, Li N, Hou S, Fan H. Patient delay in a coronavirus disease 2019 (COVID-19) outbreak in Tianjin, China from January to February 2020. J Formos Med Assoc 2021; 121:1248-1256. [PMID: 34802833 PMCID: PMC8580809 DOI: 10.1016/j.jfma.2021.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 05/10/2021] [Accepted: 11/04/2021] [Indexed: 12/23/2022] Open
Abstract
Background Patient delay of COVID-19 patients occurs frequently, which poses a challenge to the overall epidemic situation. In this study, we aimed to evaluate the extent of patient delay, explore its factors, and investigate the effects of patient interval on epidemic situation. Methods A retrospective cohort study was conducted with 136 COVID-19 patients in Tianjin, China. Factors associated with patient delay were explored using logistic regression models. The relationship was investigated by spearman correlation analysis and mean absolute error between patient interval of lagging days and epidemic situation. Results The factors associated with patient delay of COVID-19 patients were mainly the imported cases, the first presentation to a tertiary hospital, close contacts and spatial accessibility to fever clinic. The longer the patient intervals of lagging days, the greater the number of new-onset and confirmed cases in 3–4 and 5–7 days after the first day symptoms, respectively. Conclusion Identification and quarantine of close contacts, promoting the spatial accessibility to fever clinics and creating public awareness are crucial to shortening patient delays to flat the curve for COVID-19.
Collapse
Affiliation(s)
- Chunxia Cao
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China
| | - Yue Li
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China
| | - Shaobo Fu
- General Courses Department, Army Military Transportation University of PLA, Tianjin 300161, PR China
| | - Yongzhong Zhang
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China
| | - Ning Li
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China
| | - Shike Hou
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China.
| | - Haojun Fan
- Institute of Disaster Medicine, Tianjin University, Tianjin, 300072, PR China.
| |
Collapse
|
5
|
Rimal Y, Gochhait S, Bisht A. Data interpretation and visualization of COVID-19 cases using R programming. INFORMATICS IN MEDICINE UNLOCKED 2021; 26:100705. [PMID: 34485681 PMCID: PMC8404394 DOI: 10.1016/j.imu.2021.100705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/14/2021] [Accepted: 08/14/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records. RESULTS Data on COVID-19 diagnosed cases and deaths from December 2019 is collected automatically from www.statista.com, datahub.io, and the Multidisciplinary Digital Publishing Institute (MDPI). We have developed an application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using Statista, Data Hub, and MDPI data from densely populated countries like the United States, Japan, and India using R programming. CONCLUSIONS The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application will help with a better understanding of the SARS-CoV-2 epidemic worldwide.
Collapse
Affiliation(s)
| | - Saikat Gochhait
- Symbiosis Institute of Digital and Telecom Managment, constituent of Symbiosis International (Deemed University), Pune, India
| | | |
Collapse
|
6
|
Sah P, Fitzpatrick MC, Zimmer CF, Abdollahi E, Juden-Kelly L, Moghadas SM, Singer BH, Galvani AP. Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis. Proc Natl Acad Sci U S A 2021; 118:e2109229118. [PMID: 34376550 PMCID: PMC8403749 DOI: 10.1073/pnas.2109229118] [Citation(s) in RCA: 247] [Impact Index Per Article: 82.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Quantification of asymptomatic infections is fundamental for effective public health responses to the COVID-19 pandemic. Discrepancies regarding the extent of asymptomaticity have arisen from inconsistent terminology as well as conflation of index and secondary cases which biases toward lower asymptomaticity. We searched PubMed, Embase, Web of Science, and World Health Organization Global Research Database on COVID-19 between January 1, 2020 and April 2, 2021 to identify studies that reported silent infections at the time of testing, whether presymptomatic or asymptomatic. Index cases were removed to minimize representational bias that would result in overestimation of symptomaticity. By analyzing over 350 studies, we estimate that the percentage of infections that never developed clinical symptoms, and thus were truly asymptomatic, was 35.1% (95% CI: 30.7 to 39.9%). At the time of testing, 42.8% (95% prediction interval: 5.2 to 91.1%) of cases exhibited no symptoms, a group comprising both asymptomatic and presymptomatic infections. Asymptomaticity was significantly lower among the elderly, at 19.7% (95% CI: 12.7 to 29.4%) compared with children at 46.7% (95% CI: 32.0 to 62.0%). We also found that cases with comorbidities had significantly lower asymptomaticity compared to cases with no underlying medical conditions. Without proactive policies to detect asymptomatic infections, such as rapid contact tracing, prolonged efforts for pandemic control may be needed even in the presence of vaccination.
Collapse
Affiliation(s)
- Pratha Sah
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520
| | - Meagan C Fitzpatrick
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201
| | - Charlotte F Zimmer
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520
| | - Elaheh Abdollahi
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada
| | - Lyndon Juden-Kelly
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada
| | - Seyed M Moghadas
- Agent-Based Modelling Laboratory, York University, Toronto, ON M3J 1P3, Canada
| | - Burton H Singer
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610
| | - Alison P Galvani
- Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT 06520
| |
Collapse
|
7
|
D V, Sharma A, Kumar A, Flora SJS. Neurological Manifestations in COVID-19 Patients: A Meta-Analysis. ACS Chem Neurosci 2021; 12:2776-2797. [PMID: 34260855 PMCID: PMC8291134 DOI: 10.1021/acschemneuro.1c00353] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 06/30/2021] [Indexed: 01/08/2023] Open
Abstract
Common symptoms such as dizziness, headache, olfactory dysfunction, nausea, vomiting, etc. in COVID-19 patients have indicated the involvement of the nervous system. However, the exact association of the nervous system with COVID-19 infection is still unclear. Thus, we have conducted a meta-analysis of clinical studies associated with neurological problems in COVID-19 patients. We have searched for electronic databases with MeSH terms, and the studies for analysis were selected based on inclusion and exclusion criteria and quality assessment. The Stats Direct (version 3) was used for the analysis. The pooled prevalence with 95% confidence interval of various neurological manifestations reported in the COVID-19 patients was found to be headache 14.6% (12.2-17.2), fatigue 33.6% (29.5-37.8), olfactory dysfunction 26.4% (21.8-31.3), gustatory dysfunction 27.2% (22.3-32.3), vomiting 6.7% (5.5-8.0), nausea 9.8% (8.1-11.7), dizziness 6.7% (4.7-9.1), myalgia 21.4% (18.8-24.1), seizure 4.05% (2.5-5.8), cerebrovascular diseases 9.9% (6.8-13.4), sleep disorders 14.9% (1.9-36.8), altered mental status 17.1% (12.3-22.5), neuralgia 2.4% (0.8-4.7), arthralgia 19.9% (15.3-25.0), encephalopathy 23.5% (14.3-34.1), encephalitis 0.6% (0.2-1.3), malaise 38.3% (24.7-52.9), confusion 14.2% (6.9-23.5), movement disorders 5.2% (1.7-10.4), and Guillain-Barre syndrome 6.9% (2.3-13.7). However, the heterogeneity among studies was found to be high. Various neurological manifestations related to the central nervous system (CNS) and peripheral nervous system (PNS) are associated with COVID-19 patients.
Collapse
Affiliation(s)
- Vitalakumar D
- Department of Pharmacology and Toxicology,
National Institute of Pharmaceutical Education and Research
(NIPER)-Raeberali, Lucknow 226002, India
| | - Ankita Sharma
- Department of Biotechnology, National
Institute of Pharmaceutical Education and Research (NIPER)-Raeberali,
Lucknow 226002, India
| | - Anoop Kumar
- Department of Pharmacology and Clinical Research, Delhi
Institute of Pharmaceutical Sciences and Research (DIPSAR), Delhi
Pharmaceutical Sciences & Research University (DPSRU), New Delhi
110017, India
| | - S. J. S. Flora
- Department of Pharmacology and Toxicology,
National Institute of Pharmaceutical Education and Research
(NIPER)-Raeberali, Lucknow 226002, India
| |
Collapse
|