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1.
Frontiers in Public Health ; 10:862487, 2022.
Article in English | MEDLINE | ID: covidwho-2029982

ABSTRACT

With the spread of the COVID-19, it is urgent for everyone to protect themselves. The introduction of the medical innovation policy has also brought certain effects to the prevention and control of the COVID-19. The specific effect will be reflected in the following research. This paper firstly analyzed research results related to medical innovation policy, COVID-19 prevention and control, and the "One Belt, One Road" economy, finding out the content that fits this research, and innovates the research work on this basis. Then, this paper provided a detailed explanation of medical innovation policies, the prevention and control of the COVID-19, and the "One Belt, One Road" economy. Among them, this paper focuses on the "One Belt and One Road," uses the alpha-convergence model to analyze the economic changes of the "One Belt and One Road," and conducts experimental tests in the medical field. The results have shown that from 2017 to 2019, the average hospitalization expenses paid by the pooled funds were 4986.19, 4997.34, and 4888.60 yuan, respectively.

2.
BMC Psychol ; 10(1):217, 2022.
Article in English | PubMed | ID: covidwho-2029738

ABSTRACT

BACKGROUND: The global COVID-19 pandemic is still not under effective control, and strong workplace supports with comprehensive mental health interventions are urgently needed to help medical staff effectively respond to the pandemic. This study aimed to verify the effect of an online resourcefulness training program on the resourcefulness, and psychological variables of front-line medical staff working in the COVID-19 isolation ward. DESIGN: A pre-test and post-test quasi-experimental design with control group was employed. PARTICIPANTS: A total of 60 participants working in two isolation wards were recruited via convenience sampling. The two isolation wards were randomly assigned to the control group (isolation ward 1, n = 30) and the intervention group (isolation ward 2, n = 30). INTERVENTION: The participants were trained online by video conferences and WeChat. The control group received conventional training (e.g., psychological training, psychological counseling), while the intervention group received a 4-h online resourcefulness training. Both groups learned updated guidelines of COVID-19 simultaneously via video conference. The primary outcomes (resourcefulness, anxiety, depression and coping styles) and the secondary outcome (psychological resilience) were measured before intervention and three time points after intervention. RESULTS: After the intervention and one week after the intervention, the resourcefulness, resilience, and positive response scores of the participants in the intervention group were significantly higher than those of the control group. The anxiety and negative response scores in the intervention group were significantly lower than those of the control group (all p < 0.05). One month after the intervention, the scores of resourcefulness, tenacity, and positive response of the intervention group were higher than those of the control group (all p < 0.05). Repeated measures analysis of variance showed that the two groups of participants had statistically significant changes in the time-based effect and group-based effect in resourcefulness, resilience, anxiety scores and coping styles (p < 0.01). CONCLUSION: The results showed that our online resourcefulness training can significantly improve the resourcefulness, resilience, and positive response scores and effectively reduce anxiety and depression scores of front-line medical staff. This demonstrates that online resourcefulness training would be an effective tool for the psychological adjustment of front-line medical staff in fighting against COVID-19.

3.
2nd International Conference on Medical Imaging and Additive Manufacturing, ICMIAM 2022 ; 12179, 2022.
Article in English | Scopus | ID: covidwho-2029448

ABSTRACT

Plasmonic nanobiosensors have an enormous application range. It has the capacity to detect a wide variety of substances including metal, protein and even nucleic acids due to the superiority of SPR and LSPR. Plasmonic biosensors have been widely applied in the field of disease diagnosis, environmental conservation and food safety, eliminating barriers of traditional diagnosis methods and providing sensitive, quick and label-free devices. The applications of plasmonic biosensors in detection of many concerned diseases like cancer and SARS-CoV-2 are making an improvement on our medical condition. In the field of environmental protection, plasmonic-based biosensors also show great potential. They can efficiently detect two main types of contaminants, inorganic heavy metals involving Pb, Cd, As and Hg, and organic pollutants like polycyclic aromatic hydrocarbons (PAHs). Plasmonic biosensors could also overcome challenges on food allergen detection. This paper mainly focusses on SPR and LSPR-based nanobiosensors' application in environmental protection, food safety and health-care. © 2022 SPIE. Downloading of the is permitted for personal use only.

4.
Aslib Journal of Information Management ; 2022.
Article in English | Scopus | ID: covidwho-2029185

ABSTRACT

Purpose: This study aims to investigate how the public formed their need for information in the early stage of the COVID-19 outbreak. Exploring the formation of information needs can reveal why the public's information needs differ and provide insights on targeted information service during health crises at an essential level. Design/methodology/approach: The data were collected through semi-structured interviews with 46 participants and analyzed using the grounded theory approach. Concepts, sub-categories and categories were developed, and a model was built to examine how the public formed the need for information about the pandemic. Findings: The authors found that participants were stimulated by information asymmetry, severity of the pandemic and regulations to control the pandemic, which triggered their perceptions of information credibility, threat and social approval. After the participants perceived that there was a threat, it activated their basic needs and they actively formed the need for information based on cognitive activities. Moreover, information delivered by different senders resulted in a passive need for information. Participants' individual traits also influenced their perceptions after being stimulated. Research limitations/implications: Long-term follow-up research is needed to help researchers identify more detailed perspectives and do comparative studies. Besides, this study conducted interviews through WeChat voice calls and telephone calls, and might be limited compared with face-to-face interviews. Practical implications: The findings of this study provide theoretical contributions to the information needs research and practical implications for information services and public health management. Originality/value: There is little systematic research on how the public formed information needs in the early stage of the COVID-19 outbreak. © 2022, Emerald Publishing Limited.

5.
Clinical Drug Investigation ; 14:14, 2022.
Article in English | MEDLINE | ID: covidwho-2027720

ABSTRACT

BACKGROUND: The enduring presence of COVID-19 and subsequent increasing incidence of COVID-19 reinfection has prompted evaluation of associated risk factors, particularly the role of immunosuppression. OBJECTIVE: The objective of this study was to characterize cases indicative of COVID-19 reinfection with respect to their reported use of immunosuppressant/immunomodulating agents. METHODS: This cross-sectional observational study leveraged the Pfizer global safety database (SDB) containing adverse event data collected in association with use of Pfizer products between 1 October 2019, and 30 June 2022. Selected Medical Dictionary for Drug Regulatory Activities (MedDRA R) Preferred Terms were used to identify COVID-19 cases;the search was further refined to comprise cases that subsequently reported events potentially indicative of COVID-19 reinfection. RESULTS: Of the cumulative total of 218,242 COVID-19 cases reported into the SDB, 4590 cases (2.1%) involving potential COVID-19 reinfection were identified. Of these 4590 cases of potential Covid-19 reinfection, a total of 134 cases reported COVID-19 specifically during treatment with pharmaceutical products, of which approximately 16% (21/134) of cases reported use of immunosuppressant/immunomodulating agents. Likewise, in the overall dataset (213,652 cases;excluding the 4590 cases involving potential COVID-19 recurrence), the percentage of reported immunosuppressant/immunomodulating agents was low (12%). In applying similar parameters to a dataset that excludes COVID-19 vaccine cases, 18% of cases reported use of immunosuppressant/immunomodulating agents (similar to the aforementioned 16% of cases reported from the overall total dataset that was inclusive of vaccine cases). CONCLUSION: This pharmacovigilance study provides a characterization of cases indicative of COVID-19 reinfection with respect to reported use of immunosuppressant/immunomodulating agents. The observations generated from this cross-sectional observational analysis may prompt further research into the role of immunosuppression in COVID-19 reinfection, in an effort to better inform clinical practice and patient management.

7.
Eur J Pediatr ; 2022.
Article in English | PubMed | ID: covidwho-2027501

ABSTRACT

Children are the future of the world, but their health and future are facing great uncertainty because of the coronavirus disease 2019 (COVID-19) pandemic. In order to improve the management of children with COVID-19, an international, multidisciplinary panel of experts developed a rapid advice guideline at the beginning of the outbreak of COVID-19 in 2020. After publishing the first version of the rapid advice guideline, the panel has updated the guideline by including additional stakeholders in the panel and a comprehensive search of the latest evidence. All recommendations were supported by systematic reviews and graded using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. Expert judgment was used to develop good practice statements supplementary to the graded evidence-based recommendations. The updated guideline comprises nine recommendations and one good practice statement. It focuses on the key recommendations pertinent to the following issues: identification of prognostic factors for death or pediatric intensive care unit admission;the use of remdesivir, systemic glucocorticoids and antipyretics, intravenous immunoglobulin (IVIG) for multisystem inflammatory syndrome in children, and high-flow oxygen by nasal cannula or non-invasive ventilation for acute hypoxemic respiratory failure;breastfeeding;vaccination;and the management of pediatric mental health. CONCLUSION: This updated evidence-based guideline intends to provide clinicians, pediatricians, patients and other stakeholders with evidence-based recommendations for the prevention and management of COVID-19 in children and adolescents. Larger studies with longer follow-up to determine the effectiveness and safety of systemic glucocorticoids, IVIG, noninvasive ventilation, and the vaccines for COVID-19 in children and adolescents are encouraged. WHAT IS KNOWN: • Several clinical practice guidelines for children with COVID-19 have been developed, but only few of them have been recently updated. • We developed an evidence-based guideline at the beginning of the COVID-19 outbreak and have now updated it based on the results of a comprehensive search of the latest evidence. WHAT IS NEW: • The updated guideline provides key recommendations pertinent to the following issues: identification of prognostic factors for death or pediatric intensive care unit admission;the use of remdesivir, systemic glucocorticoids and antipyretics, intravenous immunoglobulin for multisystem inflammatory syndrome in children, and high-flow oxygen by nasal cannula or non-invasive ventilation for acute hypoxemic respiratory failure;breastfeeding;vaccination;and the management of pediatric mental health.

8.
Archives of Microbiology ; 204(10):622, 2022.
Article in English | MEDLINE | ID: covidwho-2027455

ABSTRACT

The sudden emergence of the SARS-CoV-2 Omicron variant is causing major global concern due to its high number of mutations compared to previous variants, which is a relatively rare but significant event that can change the course of viral evolution, the occurrence of which might have huge consequences for the natural evolution of species in general, prompting us to rethink our knowledge on evolution.

9.
Kaohsiung Journal of Medical Sciences ; 13:13, 2022.
Article in English | MEDLINE | ID: covidwho-2027386
10.
2022 12th International Workshop on Computer Science and Engineering, WCSE 2022 ; : 207-211, 2022.
Article in English | Scopus | ID: covidwho-2025939

ABSTRACT

COVID-19 is highly contagious and highly pathogenic, It seriously threatens human life and health. Rapid detection of positive COVID-19 cases is very important in stopping the spread of the virus. At early diagnosis, It is the most simple and rapid indicator for judging changes in the illness. As the COVID-19 chest X-ray image dataset continues to expand, Researchers build a CNN-based COVID-19 detection model on Apache Spark. The model can effectively detect positive cases of COVID-19. This article first introduces the big data platform Apache Spark, Deep Learning Technology CNN, transfer learning techniques, etc. Then, it summarizes the characteristics and deficiencies of the research on chest X-ray image recognition of COVID-19 in recent years. Finally, Under the big data thinking, This paper proposes a technical direction for rapid detection of COVID-19 based on the big data analysis platform Apache Spark and the deep learning algorithm CNN for large-scale COVID-19 chest X-ray image datasets. © 2022 WCSE. All Rights Reserved.

11.
Biosci Trends ; 2022.
Article in English | PubMed | ID: covidwho-2025185

ABSTRACT

During a six-week period from July 20 to August 31, 2022, Japan experienced its highest level of COVID-19 infection ever, with an average of nearly 200,000 new infections per day nationwide. Cases requiring inpatient care peaked at 1,993,062. Twenty-seven prefectures (out of 47 prefectures) had an average hospital bed occupancy of 50% or higher, and bed occupancy in Kanagawa in particular reached 98% in mid-August. In Tokyo, bed occupancy by patients with severe COVID-19 reached 57% and peaked at 64% in mid-August. Although the number of new infections per day has decreased since September, hospital bed occupancy, the number of severe cases, and deaths remain high nationwide. Efforts including vaccination campaigns, domestic surveillance, and routine infection control measures based on the varied knowledge that the Japanese public already has should be thoroughly implemented to reduce the number of the infected in order to avoid an increase the number of serious cases and deaths.

12.
Aerosol and Air Quality Research ; 22(10), 2022.
Article in English | Web of Science | ID: covidwho-2024889

ABSTRACT

To evaluate the difference in hazardous air pollutants in PM2.5 between reference method (National Institute of Environmental Analysis;NIEAA205) and high-volume air sampler (European standard:EN14907 and Japan method), we set up a sampling station on the campus of National Yang-Ming Chiao Tung University, northern Taiwan, during 2014-2015. Both vapor and solid phases of dioxins were collected using high-volume samplers, according to EN14907 and Japan method. The flow rate was set at 500 L min(-1) and 1000 L min(-1), respectively. To compare the difference with the high-volume air sampler, we simultaneously used the reference air sampler based on Taiwan NIEA A205.11C, at the flow rate of 16.7 L min(-1) (BGI PQ200-FRM). The mass concentrations of PM2.5 measured with NIEA A205, EN14907, and Japan method were 20.2 +/- 8.79, 25.4 +/- 10.5 and 28.6 +/- 13.9 mu g m(-3), respectively. The difference of the mass concentration of PM2.5 obtained from two different methods was lower than 3.9%. Moreover, the concentrations of PCDD/F between solid and vapor phases were 56.9-1,090 and 38.6-67.1 fg m(-3) via EN14907 and 51.1-1,150 and 18.4-81.8 fg m(-3) via Japan method, respectively. Obviously, there is no significant difference between these two samplers. Compared to the method of NIEA, high volume air sampling method not only provided equivalently good quality data but offer a higher sample quantity for analyzing the trace level chemical component of hazardous air pollutants and the toxicity in different areas.

13.
Applied Sciences-Basel ; 12(16), 2022.
Article in English | Web of Science | ID: covidwho-2023093

ABSTRACT

Featured Application This study developed a low-cost, compact, and interactive augmented reality (AR) experimental platform for the thermal management of power devices. It can be integrated into future education, supporting an efficient exploration of physical processes when off-campus learning is demanded, such as in the COVID-19 pandemic. Augmented reality (AR) applied in education provides learners a possible way for better understanding and thorough learning. Although the traditional projector is used to integrate the augmented information with real objects without wearing AR glasses, the projector-based AR system is unlikely to be adopted widely in education due to the cost, heavy weight, and space issues. In this paper, an alternative projector-camera AR platform, utilizing a digital light processing (DLP) module matched with a Beaglebone Black (BB) controller, is proposed for AR physical experiments. After describing the DLP-based AR learning design method, the algorithm of pre-deforming projection content with simulation-based poly fitting is presented to keep the virtual asset consistent with the user action;and then a prototype with the content regarding the thermal management of power devices is illustrated to validate the performance of the AR experimental platform. The result shows that the DLP-based AR platform is an accurate and interactive AR system with a response time of 1 s, and a registration deviation of 3 mm. It is also an affordable AR learning design tool with a bill of materials of about $200, and thus casts light on creating AR-based physical experiments to explore more physical phenomena.

14.
Frontiers in Public Health ; 10:946946, 2022.
Article in English | MEDLINE | ID: covidwho-2022968

ABSTRACT

After experiencing the COVID-19 pandemic, employees' health and well-being become a priority for firms. Organizational health-oriented strategies assist them in coping with health-related crises. Based on the social exchange theory, the present study attempts to determine the role of organizational health-oriented strategies in promoting employees' job performance. This study hypothesized that the organizations' health-oriented strategies positively correlate with employees' job performance. This study also assessed the mediating role of employees' psychological wellbeing and trust and moderating role of perceived medical mistrust. For the empirical examination, data of the present study was gathered from the textile sector in China. This study analyzed data through partial least square structural equation modeling (PLS-SEM). For this purpose, Smart-PLS software was used. The outcomes revealed that organizational health-oriented strategies positively enhance the employees' psychological wellbeing, trust, and job performance. Moreover, the results revealed that employees' psychological wellbeing and trust positively mediate the proposed relationships. This study found that perceived medical mistrust moderates the relationship between employees' psychological wellbeing and job performance. However, the findings revealed that perceived medical mistrust does not moderate the relationship between employees' trust and job performance. In addition, the present study's findings provide insights to the firms about the importance of health-oriented strategies. Moreover, this study's findings also serve the literature by providing important theoretical and practical implications.

15.
Frontiers in Public Health ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2022933

ABSTRACT

BackgroundHealth literacy (HL) is considered a crucial determinant of disease prevention and control. However, the role of HL in the Coronavirus Disease 2019 (COVID-19) pandemic has not been studied using provincial representative data among Chinese residents. This study aimed to assess the association between HL and COVID-19 awareness among Zhejiang residents based on the 2020 China Health Literacy Survey (CHLS). MethodsThe study was conducted among 5,596 residents aged 15-69 in Zhejiang using multistage, stratified, and probability proportional to size sampling. COVID-19 awareness and HL were assessed using the "Chinese Citizen Health Literacy Questionnaire (2020)" in Zhejiang. The covariates were divided into predisposing factors, enabling factors, and need factors according to Anderson's model. Data were analyzed by the chi-square test and logistic regression. ResultsThe study showed that HL and COVID-19 awareness levels of residents were 24.84% and 8.06%, respectively, in Zhejiang in 2020. After adjusting for covariates, residents with adequate HL were more likely to have better COVID-19 awareness (odds ratio [OR] = 5.22, 95% CI = 4.13-6.59, p < 0.001). Three dimensions of HL (knowledge and attitudes, behavior and lifestyle, and health-related skills) were associated with COVID-19 awareness. Additionally, COVID-19 awareness was associated with age, occupation, family size, annual household income, and chronic conditions. ConclusionCOVID-19 awareness is significantly associated with HL, suggesting that promoting HL is an important component of health education, disease prevention, and health promotion in response to the COVID-19 pandemic and even possible public health emergencies in the future.

16.
Frontiers in Pharmacology ; 13, 2022.
Article in English | Web of Science | ID: covidwho-2022844

ABSTRACT

Patients with breast cancer are prone to SARS-CoV-2 infection [the causative virus of coronavirus disease (COVID-19)] due to their lack of immunity. In the current study, we examined the mechanism of action of Diosmetin, a flavonoid with anti-inflammatory properties, in patients with BRCA infected with SARS-CoV-2.We used bioinformatics technology to analyze the binding ability, biological function, and other biological characteristics of Diosmetin in vivo and examine the core target and potential mechanism of action of Diosmetin in patients with patients with breast cancer infected with SARS-CoV-2. A prognostic model of SARS-COV-2-infected breast cancer patients was constructed, and the core genes were screened out, revealing the correlation between these core genes and clinicopathological characteristics, survival rate, and high-risk and low-risk populations. The docking results revealed that Diosmetin binds well to the core genes of patients with breast cancer with COVID-19. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that Diosmetin inhibited inflammation, enhanced immune function, and regulated the cellular microenvironment in patients with BRCA/COVID-19. For the first time, we reveal the molecular functions and potential targets of Diosmetin in patients with breast cancer infected with SARS-CoV-2, improving the reliability of the new drug and laying the foundation for further research and development.

17.
Frontiers in Medicine ; 9, 2022.
Article in English | Web of Science | ID: covidwho-2022763

ABSTRACT

Background: Village doctors are the health "gatekeepers " of rural residents in most developing countries. They undertake a series of strenuous but pivotal missions, including prevention, diagnosis, and treatment of complicated diseases, sanitation services and management, and preventive healthcare and education tasks. Hence, it is of great importance to evaluate the village doctors' job satisfaction status, which is one of the most important indicators that can reflect the current working state, to provide guidelines for the healthcare policies. Methods: Literature search was conducted in 7 authoritative databases, including PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure (CNKI). Experts in the field of social medicine were consulted to achieve supplement and obtain relevant literature. China was selected as a representative of the village doctor system for the in-depth analysis. Building on the previous literature, we modified and proposed a novel strategy that can transform and integrate the outcome indicators to conduct a meta-based and quantitative assessment on job satisfaction. Results: A total of 37 publications and 23,595 village doctors were included in this research. The meta-analysis showed that the overall job satisfaction score of village doctors was 3.1858 (total score: 5.00), 95% CI: 2.9675-3.404, which represented the level of "neither satisfied nor dissatisfied. " However, in the subsequent adjustment of publication bias, this score reduced to 2.7579, 95% CI: 2.5254-2.9904, which indicated a direct "dissatisfied " level. To discover the underlying causes, a holistic analysis of each dimension and influencing factors of job satisfaction was conducted, and the results demonstrated that "Financial Rewards " (2.49) was the most important factor causing dissatisfaction among village doctors, followed by "Job Security (2.52) " and "Work Stress (3.05). " Several important themes were also identified and assessed to explore the factors related to this topic. Conclusion: This study indicated that there is an urgent need to improve the working status of health workers in rural and remote areas, especially in the middle- and low-income countries. Health policy makers should not only improve the current remuneration and subsidies of village doctors but also guide the professional development and give them more job security to enhance the work stability of this group. More specifically, in the context of the COVID-19 pandemic, further surveys on job satisfaction of village doctors should be carried out to take targeted measures.

18.
Frontiers in Medicine ; 9, 2022.
Article in English | Web of Science | ID: covidwho-2022761

ABSTRACT

ObjectiveThis study aimed to explore COVID-19 vaccine hesitancy in Chinese adults and analyzed the relationship between knowledge, attitudes, practices (KAP), and COVID-19 vaccine hesitancy. MethodsA population-based self-administered online survey was conducted in Taizhou, China to evaluate the population's hesitancy to receive COVID-19 vaccination. A total of 2.463 adults received the invitation for the survey through WeChat (A Chinese app that is used for chat, social media, and mobile payment), and 1.788 interviewees answered the structured questionnaire. The overall response rate was 72.6%. ResultsTotal 45.2% of people were hesitant about the COVID-19 vaccination. Using binary logistic regression analysis, we found low perception of safety (Model 3: Odds ratio = 2.977, Confidence interval: 2.237-3.963) and efficacy (Model 3: OR = 1.904, 95%CI: 1.462-2.479) of the COVID-19 vaccine in adults is the most important risk factor for COVID-19 vaccine hesitation. People who know more about COVID-19 vaccination are less hesitant (Model 2: OR = 0.967, 95% CI: 0.951-0.983). People who did not seek information independently about the COVID-19 vaccine are more likely to be skeptical (Model 4: OR = 1.300, 95% CI: 1.058-1.598, P = 0.013). ConclusionIn China, the population had higher levels of COVID-19 vaccine hesitation, and their knowledge of the COVID-19 vaccine, perceptions of safety and efficacy, and physical health status were significantly associated with vaccine hesitation. These results provide ideas for promoting COVID-19 vaccination and intervention and have far-reaching implications for further strengthening research on vaccine hesitancy in COVID-19 and exploring strategies for COVID-19 vaccine promotion.

19.
Frontiers in Cellular and Infection Microbiology ; 12, 2022.
Article in English | Web of Science | ID: covidwho-2022655

ABSTRACT

The World Health Organization declared a public health emergency of international concern in January 2020. The Delta variant became the main epidemic strain on 11 May 2021. Vaccines were proven highly effective in controlling hospitalization and deaths associated with severe acute respiratory syndrome coronavirus 2 infections. Real data on vaccine efficacy against B.1.617.2 infection in the Chinese population were currently limited. This study aimed to evaluate the protective effect of inactivated vaccine injection and immunoglobulin (Ig) G levels in coronavirus disease 2019 (COVID-19) severity. This retrospective study included patients with COVID-19 in Xi'an Chest Hospital from December 2021 to January 2022. The protective effect of inactivated vaccine injection and IgG levels on COVID-19 severity was analyzed using multiple logistic regressions. A total of 580 patients were included in the study, of whom 158 (27.24%) were mild, 412 (71.03%) were moderate, 5 (0.9%) were severe, and 5 (0.86%) were critical. Severe case (including severe and critical) rates were 1.72% (10/580). Compared with the unvaccinated group, the vac+IgG- group had a 0.21 (0.02-2.05)-fold risk of suffering from severe cases, and the vac+IgG+ group had a 0.05 (0-0.63)-fold risk of suffering from severe cases. Of the 10 severe cases, 8 were older than 60 years, 8 were men, 8 had underlying diseases, 6 were in the unvaccinated group, and 2 were in the vac+IgG- group. Vaccination and sufficient IgG antibody production can protect patients with COVID-19 from severe cases. Booster vaccine injection can produce a stronger immune response and protection.

20.
Transl Neurodegener ; 11(1):40, 2022.
Article in English | PubMed | ID: covidwho-2021340

ABSTRACT

Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a life-threatening disease, especially in elderly individuals and those with comorbidities. The predominant clinical manifestation of COVID-19 is respiratory dysfunction, while neurological presentations are increasingly being recognized. SARS-CoV-2 invades host cells primarily via attachment of the spike protein to the angiotensin-converting enzyme 2 (ACE2) receptor expressed on cell membranes. Patients with Alzheimer's disease (AD) are more susceptible to SARS-CoV-2 infection and prone to severe clinical outcomes. Recent studies have revealed some common risk factors for AD and COVID-19. An understanding of the association between COVID-19 and AD and the potential related mechanisms may lead to the development of novel approaches to treating both diseases. In the present review, we first summarize the mechanisms by which SARS-CoV-2 invades the central nervous system (CNS) and then discuss the associations and potential shared key factors between COVID-19 and AD, with a focus on the ACE2 receptor, apolipoprotein E (APOE) genotype, age, and neuroinflammation.

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