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Phanhkongsy S, Suwannatrai A, Thinkhamrop K, Somlor S, Sorsavanh T, Tavinyan V, Sentian V, Khamphilavong S, Samountry B, Phanthanawiboon S. Spatial analysis of dengue fever incidence and serotype distribution in Vientiane Capital, Laos: A multi-year study. Acta Trop 2024; 256:107229. [PMID: 38768698 DOI: 10.1016/j.actatropica.2024.107229] [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: 03/05/2024] [Revised: 04/22/2024] [Accepted: 04/24/2024] [Indexed: 05/22/2024]
Abstract
Laos is a hyperendemic country of all 4 dengue serotypes. Various factors contribute to the spread of the disease including viral itself, vectors, and environment. This study aims to analyze dengue data and its incidence in nine districts of Vientiane Capital, Laos spanning from 2019 to 2021 by data collected from Mittaphab Hospital. The Maximum Entropy algorithm (MaxEnt) was applied to assess spatial distribution and identify high-probability locations for dengue occurrence by analyzing crucial environmental and climatic conditions. Dengue cases were more prominent in female (54.88 %) and highest case number was found in worker group (29.02 %) followed by student (28.47 %) and officer (16.92 %). In this study, the age group 21-30 years old had the highest infection rate (42.23 %), followed by 10-20 years old (24.21 %). Most of dengue cases was primary infection (91.61 %). Dengue serotype 2 predominated in 2019 and 2020 and substitute by serotype 1 in 2021. Across the nine districts of Vientiane Capital, the highest incidence of dengue was found in Xaythany district population in 2019, shifting to Chanthabouly district in 2020 and 2021. The MaxEnt revealed potentially most suitable areas for dengue were widely distributed central south part of Vientiane, Laos. Additionally, the best predictive variable for dengue occurrence was normalized difference vegetation index. Understanding of case characteristics and spatial distribution features of dengue will be helpful in effective surveillance and disease control in the future.
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Affiliation(s)
- Somsouk Phanhkongsy
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Apiporn Suwannatrai
- Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Kavin Thinkhamrop
- Faculty of Public Health, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Somphavanh Somlor
- Arbovirus & Emerging viral disease laboratory, Institute Pasteur du Laos, Samsenthai Rd, Ban Kao-ngot PO Box 3560, Vientiane, Lao People's Democratic Republic
| | - Thepphouthone Sorsavanh
- Department of Planning and Cooperation, Ministry of Health, Fa Ngoum Road, Thatkhao Village, Sisattanak District, Vientiane, Lao People's Democratic Republic
| | - Vanxay Tavinyan
- Microbiology Unit, Department of Medical Sciences, Faculty of Medicine, Ministry of Health, University of Health Sciences, Samsenthai Road, Ban Kao-ngot PO Box 7444 Vientiane, Lao People's Democratic Republic
| | - Virany Sentian
- Microbiology Unit, Department of Medical Sciences, Faculty of Medicine, Ministry of Health, University of Health Sciences, Samsenthai Road, Ban Kao-ngot PO Box 7444 Vientiane, Lao People's Democratic Republic
| | - Soulichanh Khamphilavong
- Microbiology Unit, Department of Medical Sciences, Faculty of Medicine, Ministry of Health, University of Health Sciences, Samsenthai Road, Ban Kao-ngot PO Box 7444 Vientiane, Lao People's Democratic Republic
| | - Bounthome Samountry
- Pathologist, Ministry of Health, University of Health Sciences, Samsenthai Road, Ban Koa-ngot PO Box 7444, Vientiane, Lao People's Democratic Republic
| | - Supranee Phanthanawiboon
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
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Fathollahi A, Bashizadeh Fakhar H, Shaghaghi B. Relationship between blood group (ABO) and risk of COVID-19 infection in a patient cohort in Tehran, Iran. Access Microbiol 2024; 6:000544.v5. [PMID: 39045258 PMCID: PMC11261716 DOI: 10.1099/acmi.0.000544.v5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 06/13/2024] [Indexed: 07/25/2024] Open
Abstract
Background and purpose. Coronavirus (COVID-19) is a contagious disease causing severe acute respiratory syndrome which had a catastrophic effect on the world population and resulted in more than 2.9 million deaths worldwide. Epidemiological investigations have recently announced blood type has an association with the incidence of COVID-19 infection. Consequently, research in this regard can be effective in determining a person's susceptibility to a viral infection. Therefore, we investigated the relationship between blood types and the risk of COVID-19 in patients admitted to Khorshid laboratory, Tehran, Iran. Materials and methods. From January to March 2020, 50 nasal and throat swapb samples of patients' secretions were obtained from patients who were admitted to Khorshid laboratory. They were confirmed to have COVID-19 virus RNA and real-time polymerase chain reaction (PCR)-ABI, and their blood type was determined simultaneously. After collecting data to determine the relationship between COVID-19 infection and blood type, a confidence interval of 90 % was considered using SPSS 16. Results. The mean age of the patients was measured at 38.4±6.3 years. According to PCR results, 100 % of the subjects with COVID-19 showed blood type A. In addition, the ratio of blood type A to the percentage of reference type O was higher (P=0.009). Conclusion. There was a significant relationship between ABO blood type and susceptibility to COVID-19. As the current study suggests, those with blood type A are at a higher COVID-19 infection risk than those with blood type O.
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Affiliation(s)
- Asal Fathollahi
- Department of Medical Science, Chalus Branch, Islamic Azad University, Chalous, Iran
| | | | - Babak Shaghaghi
- Department of Laboratory Science, Chalous Branch, Islamic Azad University, Chalous, Iran
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Caffrey M, Jayakumar N, Caffrey V, Anirudhan V, Rong L, Paprotny I. VLP-based model for the study of airborne viral pathogens. Microbiol Spectr 2024; 12:e0001324. [PMID: 38752752 PMCID: PMC11237701 DOI: 10.1128/spectrum.00013-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/21/2024] [Indexed: 05/28/2024] Open
Abstract
The recent COVID-19 pandemic has underscored the danger of airborne viral pathogens. The lack of model systems to study airborne pathogens limits the understanding of airborne pathogen distribution as well as potential surveillance and mitigation strategies. In this work, we develop a novel model system to study airborne pathogens using virus-like particles (VLPs). Specifically, we demonstrate the ability to aerosolize VLP and detect and quantify aerosolized VLP RNA by reverse transcription-loop-mediated isothermal amplification in real-time fluorescent and colorimetric assays. Importantly, the VLP model presents many advantages for the study of airborne viral pathogens: (i) similarity in size and surface components; (ii) ease of generation and noninfectious nature enabling the study of biosafety level 3 and biosafety level 4 viruses; (iii) facile characterization of aerosolization parameters; (iv) ability to adapt the system to other viral envelope proteins, including those of newly discovered pathogens and mutant variants; and (v) the ability to introduce viral sequences to develop nucleic acid amplification assays. IMPORTANCE The study and detection of airborne pathogens are hampered by the lack of appropriate model systems. In this work, we demonstrate that noninfectious virus-like particles (VLPs) represent attractive models to study airborne viral pathogens. Specifically, VLPs are readily prepared, are similar in size and composition to infectious viruses, and are amenable to highly sensitive nucleic acid amplification techniques.
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Affiliation(s)
- Michael Caffrey
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Nitin Jayakumar
- Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Veronique Caffrey
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Varada Anirudhan
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Lijun Rong
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Igor Paprotny
- Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
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Tahim JC, Verde SMML, Maia CSC, Bezerra IN. Consumption of Food Offered by Delivery Applications (Apps). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:568. [PMID: 38791783 PMCID: PMC11121648 DOI: 10.3390/ijerph21050568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024]
Abstract
This study aimed to investigate whether the use of food delivery applications is related to food consumption practices. METHODS Data collection was carried out between 5 and 20 June 2020 in a Brazilian capital with a final sample of 2113 individuals. The instrument included questions about socioeconomic characteristics, anthropometric data, and information about eating practices and the use of delivery apps. Logistic regression models were developed with the consumption of each food group as the outcome variable and the use of the application as the exposure variable. RESULTS Of those interviewed, 78.1% used delivery apps to purchase food. The frequencies of the consumption of foods considered markers of healthy eating were higher for individuals who did not use the applications (59.7% vs. 38.7% for the daily consumption of fresh fruit, respectively, p < 0.0001). The frequencies of the consumption of items considered markers of unhealthy eating were higher for individuals who used apps to purchase food prepared outside the home compared to those who did not (53.7 vs. 38.1 for weekly consumption of hamburgers, respectively, p < 0.0001). CONCLUSION The use of delivery applications influenced the users' eating practices through the acquisition of food within the digital scope and is related to a greater frequency of the consumption of unhealthy items by users.
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Affiliation(s)
- Jamile Carvalho Tahim
- Postgraduate Program in Public Health, Universidade Estadual do Ceará, Fortaleza 60714-903, Brazil;
| | - Sara Maria Moreira Lima Verde
- Postgraduate Program in Nutrition and Health, Universidade Estadual do Ceará, Fortaleza 60714-903, Brazil; (S.M.M.L.V.); (C.S.C.M.)
| | - Carla Soraya Costa Maia
- Postgraduate Program in Nutrition and Health, Universidade Estadual do Ceará, Fortaleza 60714-903, Brazil; (S.M.M.L.V.); (C.S.C.M.)
| | - Ilana Nogueira Bezerra
- Postgraduate Program in Public Health, Universidade Estadual do Ceará, Fortaleza 60714-903, Brazil;
- Postgraduate Program in Nutrition and Health, Universidade Estadual do Ceará, Fortaleza 60714-903, Brazil; (S.M.M.L.V.); (C.S.C.M.)
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Hou XY, Danzeng LM, Wu YL, Ma QH, Yu Z, Li MY, Li LS. Mesenchymal stem cells and their derived exosomes for the treatment of COVID-19. World J Stem Cells 2024; 16:353-374. [PMID: 38690515 PMCID: PMC11056634 DOI: 10.4252/wjsc.v16.i4.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/17/2024] [Accepted: 03/15/2024] [Indexed: 04/25/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an acute respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 infection typically presents with fever and respiratory symptoms, which can progress to severe respiratory distress syndrome and multiple organ failure. In severe cases, these complications may even lead to death. One of the causes of COVID-19 deaths is the cytokine storm caused by an overactive immune response. Therefore, suppressing the overactive immune response may be an effective strategy for treating COVID-19. Mesenchymal stem cells (MSCs) and their derived exosomes (MSCs-Exo) have potent homing abilities, immunomodulatory functions, regenerative repair, and antifibrotic effects, promising an effective tool in treating COVID-19. In this paper, we review the main mechanisms and potential roles of MSCs and MSCs-Exo in treating COVID-19. We also summarize relevant recent clinical trials, including the source of cells, the dosage and the efficacy, and the clinical value and problems in this field, providing more theoretical references for the clinical use of MSCs and MSCs-Exo in the treatment of COVID-19.
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Affiliation(s)
- Xiang-Yi Hou
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China
| | - La-Mu Danzeng
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China
| | - Yi-Lin Wu
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China
| | - Qian-Hui Ma
- Department of Pharmacy, Jilin University, Changchun 130021, Jilin Province, China
| | - Zheng Yu
- The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin Province, China
| | - Mei-Ying Li
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China
| | - Li-Sha Li
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun 130021, Jilin Province, China.
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Rostami S, Alavi SM, Daghagheleh R, Maraghi E, Hosseini SA. A randomized clinical trial investigating the impact of magnesium supplementation on clinical and biochemical measures in COVID-19 patients. Virol J 2024; 21:91. [PMID: 38654355 PMCID: PMC11040844 DOI: 10.1186/s12985-024-02362-6] [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: 01/30/2024] [Accepted: 04/08/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND This study sought to examine the impact of magnesium supplementation on clinical outcomes and biochemical factors among hospitalized patients with COVID-19. METHODS This double-blind, randomized clinical trial was conducted at Razi Hospital, Ahvaz, Iran, between September 2021 and March 2022. Participants aged 18-70 years with moderate disease severity were enrolled. Magnesium supplementation (300 mg daily) was administered to the intervention group, while the control group received a placebo. Clinical outcomes, including the need for oxygen therapy, oxygen saturation, respiratory rate, fever, hs-CRP and TNF-α levels, as well as quality of life and mental health, were assessed. Blood samples were collected to measure biochemical variables. RESULTS The main result was the count of individuals requiring oxygen therapy. Additional outcomes comprised of oxygen saturation, respiratory rate, fever, hs-CRP and TNF-α levels, as well as quality of life and mental health. Out of 64 participants, 60 completed the study. The results showed that magnesium supplementation significantly reduced the number of patients requiring oxygen therapy (9 vs. 14; P < 0.001). Moreover, the magnesium group demonstrated improved oxygen saturation compared to the control group (4.55 ± 2.35 vs. 1.8 ± 1.67; P < 0.001). Furthermore, we observed a noteworthy enhancement in the quality of life and depression score in the magnesium group. No significant differences were observed in respiratory rate, fever, hs-CRP, and TNF-α levels (P > 0.05). CONCLUSION The findings suggest that magnesium supplementation may have beneficial effects on clinical outcomes and arterial oxygen saturation in COVID-19 patients. More investigation is necessary to delve into its potential mechanisms and long-term effects on patient outcomes. TRIAL REGISTRATION This study is registered on Iranian Registry of Clinical Trials (IRCT) under identifier IRCT20210413050957N1. (The registration date: May 1, 2021).
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Affiliation(s)
- Sepideh Rostami
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Mohammad Alavi
- Jundishapur Infectious and Tropical Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Robab Daghagheleh
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Elham Maraghi
- Department of Biostatistics and Epidemiology, Public Health Faculty, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Ahmad Hosseini
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
- Nutrition and Metabolic Disease Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Liu Y, Wang M, Chen F, Zhang Y, Hai W. On-site detection of infectious disease based on CaCO 3-based magnetic micromotor integrated with graphene field effect transistor. Mikrochim Acta 2024; 191:257. [PMID: 38600405 DOI: 10.1007/s00604-024-06345-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
A new detection platform based on CaCO3-based magnetic micromotor (CaCO3@Fe3O4) integrated with graphene field effect transistor (GFET) was construct and used for on-site SARS-CoV-2 coronavirus pathogen detection. The CaCO3@Fe3O4 micromotor, which was modified with anti-SARS-CoV-2 (labelled antibody, AntiE1), can self-moved in the solution containing hydrochloric acid (HCl) and effective to capture the SARS-CoV-2 coronavirus pathogens. After magnetic field separation, the capture micromotor was detected by GFET, exhibiting a good linear relationship within the range of 1 ag/mL to 100 ng/mL and low detection limit (0.39 ag/mL). Furthermore, the detection platform was also successfully applied to detection of SARS-CoV-2 coronavirus pathogens in soil solution, indicating the potential use in on-site application.
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Affiliation(s)
- Yushuang Liu
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China.
- Key Laboratory of Mongolian Medicine Research and Development Engineering, Ministry of Education, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China.
| | - Mingxuan Wang
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Furong Chen
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Ying Zhang
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Wenfeng Hai
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
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Zyoud S. Global Mapping and Visualization Analysis of One Health Knowledge in the COVID-19 Context. ENVIRONMENTAL HEALTH INSIGHTS 2024; 18:11786302241236017. [PMID: 38449589 PMCID: PMC10916474 DOI: 10.1177/11786302241236017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/13/2024] [Indexed: 03/08/2024]
Abstract
Globally, the COVID-19 pandemic had a significant impact on the health, social, and economic systems, triggering lasting damage and exposing the complexity of the problem beyond just being a health emergency. This crisis has highlighted the need for a comprehensive and collaborative strategy to successfully counter infectious diseases and other global challenges. With the COVID-19 pandemic pushing One Health to the forefront of global health and sustainable development agendas, this concept has emerged as a potential approach for addressing these challenges. In the context of COVID-19, this study investigates global knowledge about One Health by examining its state, significant contributions, and future directions. It seeks to offer an integrated framework of insights guiding the development of well-informed decisions. A comprehensive search using the Scopus database was conducted, employing specific terms related to One Health and COVID-19. VOSviewer 1.6.19 software was used to generate network visualization maps. Countries' research output was adjusted based on their gross domestic product (GDP) and population size. The study identified a total of 527 publications. The United States led with 134 documents (25.4%), but India topped the adjusted ranking. One Health journal stood as the most common outlet for disseminating knowledge (49 documents; 9.3%), while Centers for Disease Control and Prevention (CDC), the United States emerged as the most prolific institution (13 documents; 2.5%). Key topics were related to the virus transmission mechanisms, climate change impacts, antimicrobial resistance, ecosystem health, preparedness, collaboration, community engagement, and developing of efficient surveillance systems. The study emphasizes how critical it is to capitalize on the present momentum of COVID-19 to advance One Health concepts. Integrating social and environmental sciences, and a variety of professions for better interaction and collaboration is crucial. Additionally, increased funding for developing countries, and legislative empowerment are vital to advance One Health and boost disease prevention.
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Affiliation(s)
- Shaher Zyoud
- Department of Building Engineering & Environment,Palestine Technical University (Kadoorie), Tulkarem, Palestine
- Department of Civil Engineering & Sustainable Structures,Palestine Technical University (Kadoorie), Tulkarem, Palestine
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Samitinjay A, Vaishnavi K, Gongireddy R, Kulakarni SC, Panuganti R, Vishwanatham C, Manikanta AK, Biswas R. Understanding clinical complexity in organ and organizational systems: Challenges local and global. J Eval Clin Pract 2024; 30:316-329. [PMID: 37335625 DOI: 10.1111/jep.13886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 04/04/2023] [Accepted: 05/19/2023] [Indexed: 06/21/2023]
Abstract
INTRODUCTION Complexity in healthcare systems has been arbitrarily defined as tasks or systems ranging from complicated to intractable, with a general view of these not being 'simple'. Complexity in healthcare systems in first-world countries has been well elucidated, however, data from third-world countries is still scant. MATERIALS AND METHODS: We present four cases each from three different organ systems-chronic kidney disease, alcohol use disorder, and heart failure-in the backdrop of our healthcare organization. We present our analysis of the complexities faced clinically and, in our local healthcare system which led to these events. RESULTS Analysis of these cases showed that patients with chronic kidney disease had vertebral-spinal pathologies due to poor infection control measures during haemodialysis. All these patients were young with a long history of secondary hypertension. In patients with alcohol use disorder, a common theme of how government regulations and peer pressure promote alcohol use is analysed. In the four patients with unexplained heart failure, vascular health is viewed as a fractal dimension and the various factors affecting vascular health are elaborated. CONCLUSION Complexities exist clinically in making a diagnosis, and organizationally, in the variables and nodes dictating patient outcomes. Clinical complexities cannot be simplified but have to be navigated in an optimized way to improve clinical outcomes.
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Affiliation(s)
- Aditya Samitinjay
- Department of General Medicine, Kamineni Institute of Medical Sciences, Narketpally, India
| | - Karnati Vaishnavi
- Department of General Medicine, Government Medical College, Sangareddy, India
| | | | - Sai Charan Kulakarni
- Department of General Medicine, Kamineni Institute of Medical Sciences, Narketpally, India
| | - Raveen Panuganti
- Department of General Medicine, Kamineni Institute of Medical Sciences, Narketpally, India
| | - Chandana Vishwanatham
- Department of General Medicine, Kamineni Institute of Medical Sciences, Narketpally, India
| | | | - Rakesh Biswas
- Department of General Medicine, Kamineni Institute of Medical Sciences, Narketpally, India
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Gheisari M, Ghaderzadeh M, Li H, Taami T, Fernández-Campusano C, Sadeghsalehi H, Afzaal Abbasi A. Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review. JMIR Mhealth Uhealth 2024; 12:e44406. [PMID: 38231538 PMCID: PMC10896318 DOI: 10.2196/44406] [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: 11/18/2022] [Revised: 01/02/2023] [Accepted: 08/18/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND In the modern world, mobile apps are essential for human advancement, and pandemic control is no exception. The use of mobile apps and technology for the detection and diagnosis of COVID-19 has been the subject of numerous investigations, although no thorough analysis of COVID-19 pandemic prevention has been conducted using mobile apps, creating a gap. OBJECTIVE With the intention of helping software companies and clinical researchers, this study provides comprehensive information regarding the different fields in which mobile apps were used to diagnose COVID-19 during the pandemic. METHODS In this systematic review, 535 studies were found after searching 5 major research databases (ScienceDirect, Scopus, PubMed, Web of Science, and IEEE). Of these, only 42 (7.9%) studies concerned with diagnosing and detecting COVID-19 were chosen after applying inclusion and exclusion criteria using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol. RESULTS Mobile apps were categorized into 6 areas based on the content of these 42 studies: contact tracing, data gathering, data visualization, artificial intelligence (AI)-based diagnosis, rule- and guideline-based diagnosis, and data transformation. Patients with COVID-19 were identified via mobile apps using a variety of clinical, geographic, demographic, radiological, serological, and laboratory data. Most studies concentrated on using AI methods to identify people who might have COVID-19. Additionally, symptoms, cough sounds, and radiological images were used more frequently compared to other data types. Deep learning techniques, such as convolutional neural networks, performed comparatively better in the processing of health care data than other types of AI techniques, which improved the diagnosis of COVID-19. CONCLUSIONS Mobile apps could soon play a significant role as a powerful tool for data collection, epidemic health data analysis, and the early identification of suspected cases. These technologies can work with the internet of things, cloud storage, 5th-generation technology, and cloud computing. Processing pipelines can be moved to mobile device processing cores using new deep learning methods, such as lightweight neural networks. In the event of future pandemics, mobile apps will play a critical role in rapid diagnosis using various image data and clinical symptoms. Consequently, the rapid diagnosis of these diseases can improve the management of their effects and obtain excellent results in treating patients.
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Affiliation(s)
- Mehdi Gheisari
- Institute of Artificial Intelligence, Shaoxing University, Shaoxing, China
- Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
| | - Mustafa Ghaderzadeh
- School of Nursing and Health Sciences of Boukan, Urmia University of Medical Sciences, Urmia, Iran
| | - Huxiong Li
- Institute of Artificial Intelligence, Shaoxing University, Shaoxing, China
| | - Tania Taami
- Florida State University, Tallahassee, FL, United States
| | | | | | - Aaqif Afzaal Abbasi
- Department of Earth and Marine Sciences, University of Palermo, Palermo, Italy
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Sarhan AL. The relationship of smartphone addiction with depression, anxiety, and stress among medical students. SAGE Open Med 2024; 12:20503121241227367. [PMID: 38313469 PMCID: PMC10838039 DOI: 10.1177/20503121241227367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 01/04/2024] [Indexed: 02/06/2024] Open
Abstract
Introduction An increasing amount of research has shown a link between psychopathological behaviors such as smartphone addiction, depression, anxiety, and stress. The aim of this study was to assess the association of smartphone addiction with depression, anxiety, and stress. Methods A cross-sectional study was conducted between 26th January and 3rd March 2021. The sample was chosen using a convenient sampling technique and Raosoft tool. The survey assessed smartphone addiction using abbreviated versions of the Addiction Scale Short Version, a self-administered questionnaire that has been validated in the English and Arabic languages. Also, Depression and Anxiety Stress Scale was used to measure the level of depression, anxiety, and stress among the university students. Results A total of 367 university students from the Medical and Health Sciences College participated. Our findings showed that smartphone addiction exhibited positive correlations with depression (r = 0.375, p < 0.01), anxiety (r = 0.253, p < 0.01), and stress (r = 0.328, p < 0.05). In addition, there was a strong positive correlation between depression and both anxiety and stress (r = 0.731, p < 0.01) (r = 0.778, p < 0.01), respectively. Finally, stress and anxiety showed a positive correlation (r = 0.708, p < 0.01). Conclusion When combined, our data offer strong support for a bidirectional hybrid theory that takes into account the link between smartphone addiction and depression, anxiety, and stress. The current study's findings might assist national health authorities in strengthening their efforts to prevent depression, anxiety, and stress associated with the use of modern technology.
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Affiliation(s)
- Adnan Lutfi Sarhan
- Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
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12
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Lei J, Miao Y, Bi W, Xiang C, Li W, Zhang R, Li Q, Yang Z. Porcine Epidemic Diarrhea Virus: Etiology, Epidemiology, Antigenicity, and Control Strategies in China. Animals (Basel) 2024; 14:294. [PMID: 38254462 PMCID: PMC10812628 DOI: 10.3390/ani14020294] [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: 11/29/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) is a porcine enteric coronavirus, which is one of the main causative agents of porcine epidemic diarrhea (PED), with 100% morbidity and 80-100% mortality in neonatal piglets. Since 2010, large-scale PED caused by highly pathogenic variants of PEDV has occurred successively in China and other countries in the world, posing a great threat to the global pig industry. It has been demonstrated in many investigations that the classic attenuated vaccine strain, PEDV CV777, is insufficient to fully protect against the PEDV variants. Moreover, the maternally derived antibodies elicited by inactivated vaccines also cannot completely protect piglets from infection. In addition, feedback feeding poses a risk of periodic PEDV recurrence in pig farms, making it challenging to successfully limit the spread of PEDV in China. This review focuses on the etiology, epidemiology, antigenicity, and control strategies of PEDV in China and provides information for the formulation of effective control measures.
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Affiliation(s)
- Jianlin Lei
- College of Agriculture and Forestry Science and Technology, Longdong University, Qingyang 745000, China;
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Yongqiang Miao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Wenrui Bi
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Chaohui Xiang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Wei Li
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Riteng Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
| | - Qian Li
- College of Agriculture and Forestry Science and Technology, Longdong University, Qingyang 745000, China;
| | - Zengqi Yang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China; (Y.M.); (W.B.); (C.X.); (W.L.); (R.Z.); (Z.Y.)
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13
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Brown KL, Ramlall V, Zietz M, Gisladottir U, Tatonetti NP. Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity. Nat Commun 2024; 15:367. [PMID: 38191623 PMCID: PMC10774300 DOI: 10.1038/s41467-023-44250-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 12/05/2023] [Indexed: 01/10/2024] Open
Abstract
SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses explain 1.2% and 5.8% of variation in susceptibility and severity respectively. Here we estimate the importance of shared environment and additive genetic variation to SARS-CoV-2 susceptibility and COVID-19 severity using pedigree data, PCR results, and hospitalization information. The relative importance of genetics and shared environment for susceptibility shifted during the study, with heritability ranging from 33% (95% CI: 20%-46%) to 70% (95% CI: 63%-74%). Heritability was greater for days hospitalized with COVID-19 (41%, 95% CI: 33%-57%) compared to shared environment (33%, 95% CI: 24%-38%). While our estimates suggest these genetic architectures are not fully understood, the shift in susceptibility estimates highlights the challenge of estimation during a pandemic, given environmental fluctuations and vaccine introduction.
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Affiliation(s)
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Department of Physiology & Cellular Biophysics, Columbia University, New York, NY, USA
| | - Michael Zietz
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
- Cedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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14
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Caffrey M, Jayakumar N, Caffrey V, Anirudan V, Rong L, Paprotny I. VLP-Based Model for Study of Airborne Viral Pathogens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.03.574055. [PMID: 38260552 PMCID: PMC10802359 DOI: 10.1101/2024.01.03.574055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
The recent COVID-19 pandemic has underscored the danger of airborne viral pathogens. The lack of model systems to study airborne pathogens limits the understanding of airborne pathogen distribution, as well as potential surveillance and mitigation strategies. In this work, we develop a novel model system to study airborne pathogens using virus like particles (VLP). Specifically, we demonstrate the ability to aerosolize VLP and detect and quantify aerosolized VLP RNA by Reverse Transcription-Loop-Mediated Isothermal Amplification (RT-LAMP) in real-time fluorescent and colorimetric assays. Importantly, the VLP model presents many advantages for the study of airborne viral pathogens: (i) similarity in size and surface components; (ii) ease of generation and noninfectious nature enabling study of BSL3 and BSL4 viruses; (iii) facile characterization of aerosolization parameters; (iv) ability to adapt the system to other viral envelope proteins including those of newly discovered pathogens and mutant variants; (v) the ability to introduce viral sequences to develop nucleic acid amplification assays.
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Affiliation(s)
- Michael Caffrey
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL 60607
| | - Nitin Jayakumar
- Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607
| | - Veronique Caffrey
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL 60607
| | - Varada Anirudan
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, IL 60612
| | - Lijun Rong
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, IL 60612
| | - Igor Paprotny
- Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607
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15
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Salajegheh Tazerji S, Gharieb R, Ardestani MM, Akhtardanesh B, Kabir F, Vazir B, Duarte PM, Saberi N, Khaksar E, Haerian S, Fawzy M. The risk of pet animals in spreading severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and public health importance: An updated review. Vet Med Sci 2024; 10:e1320. [PMID: 38066661 PMCID: PMC10766024 DOI: 10.1002/vms3.1320] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 09/27/2023] [Accepted: 10/23/2023] [Indexed: 01/06/2024] Open
Abstract
Since the outbreak of SARS-CoV-2 was first identified in 2019, it has been reported that the virus could infect a variety of animals either naturally or experimentally. This review discusses the occurrence SARS-CoV-2 in dogs and cats and the role of these animals in transmitting coronavirus disease 2019 (COVID-19) to their owners. The data were collected from epidemiological studies and case reports that focused on studying the occurrence of SARS-CoV-2 in pet animals and their owners. Epidemiological studies and case reports indicate that dogs and cats are infected with SARS-CoV-2 either naturally or experimentally; however, the global number of naturally infected animals is far lower than the number of people who have COVID-19. These studies demonstrate that pet animals acquire the infection from direct contact with COVID-19-infected owners. Currently, there are no studies reporting that dogs and cats can transmit SARS-CoV-2 to other animals and humans, under natural conditions. The emergence of SARS-CoV-2 infection in companion animals (dogs and cats) in different countries worldwide raises concerns that pets are at higher risk for spreading and transmitting SARS-CoV-2 to humans and other animals, which poses a hazard to the public health. Therefore, investigating the role of dogs and cats in the transmission and epidemiology of SARS-CoV-2 will help us to design and implement appropriate preventive measures against the further transmission of SARS-CoV-2.
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Affiliation(s)
- Sina Salajegheh Tazerji
- Department of Clinical Science, Faculty of Veterinary Medicine, Science and Research BranchIslamic Azad UniversityTehranIran
- Young Researchers and Elites Club, Science and Research BranchIslamic Azad UniversityTehranIran
| | - Rasha Gharieb
- Department of Zoonoses, Faculty of Veterinary MedicineZagazig UniversityZagazigEgypt
| | | | - Baharak Akhtardanesh
- Department of Clinical Science, Faculty of Veterinary MedicineShahid Bahonar UniversityKermanIran
| | - Farrokhreza Kabir
- Department of Clinical Science, Faculty of Veterinary Medicine, Science and Research BranchIslamic Azad UniversityTehranIran
| | - Bita Vazir
- Department of Basic Science, Faculty of Veterinary Medicine, Science and Research BranchIslamic Azad UniversityTehranIran
| | - Phelipe Magalhães Duarte
- Postgraduate Program in Animal BioscienceFederal Rural University of Pernambuco (UFRPE)RecifePernambucoBrazil
| | - Niloufar Saberi
- Department of Clinical Science, Faculty of Veterinary Medicine, Science and Research BranchIslamic Azad UniversityTehranIran
| | - Ehsan Khaksar
- Department of Clinical Science, Faculty of Veterinary Medicine, Garmsar BranchIslamic Azad UniversityGarmsarIran
| | - Sadegh Haerian
- Department of Clinical Science, Faculty of Veterinary Medicine, Karaj BranchIslamic Azad UniversityKarajIran
| | - Mohamed Fawzy
- Department of Virology, Faculty of Veterinary MedicineSuez Canal UniversityIsmailiaEgypt
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16
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Wang X, Shao S, Ye H, Li S, Gu B, Tang B. Development of a quantum dot-based lateral flow immunoassay strip for rapid and sensitive detection of SARS-CoV-2 neutralizing antibodies. Sci Rep 2023; 13:22253. [PMID: 38097611 PMCID: PMC10721894 DOI: 10.1038/s41598-023-49244-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
To a certain extent, the development and vaccination of COVID-19 vaccine have reduced the alarming rate of transmission speed and mortality rate. At present, vaccine coverage is quite high in countries around the world. Since individual differences are unavoidable, it is necessary to assess the efficacy of the vaccine in each vaccinated person in order to reflect the protective effect of the vaccine in different populations. In this study, we developed a novel COVID-19 neutralizing antibody detection kit combining lateral flow immunochromatography and novel quantum dot technology with 85.23% sensitivity, 92.50% specificity. The novel QD-ICA could achieve an accurate detection of SARS-CoV-2 neutralizing antibodies with 10 minutes, two steps, small equipment size, and broad testing application, suggesting its capability to assess vaccine effectiveness on a large scale in areas of world that currently affected by the pandemic.
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Affiliation(s)
- Xirong Wang
- Medical Technology School of Xuzhou Medical University, Xuzhou, 221004, China
| | - Shulin Shao
- Department of Laboratory, Nanjing Pukou Hospital of Traditional Chinese Medicine, Nanjing, 211800, China
| | - Huan Ye
- Nanjing Vazyme Medical Technology Co. Ltd., Nanjing, 210046, China
| | - Sen Li
- Nanjing Vazyme Medical Technology Co. Ltd., Nanjing, 210046, China
- Nanjing Vazyme Biotechnology Co. Ltd., Nanjing, 210046, China
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People's Hospital, 106 Zhongshan 2nd Rd, Yuexiu District, Guangzhou, Guangdong, 510000, China.
| | - Bo Tang
- Medical Technology School of Xuzhou Medical University, Xuzhou, 221004, China.
- Nanjing Vazyme Medical Technology Co. Ltd., Nanjing, 210046, China.
- Nanjing Vazyme Biotechnology Co. Ltd., Nanjing, 210046, China.
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17
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Xiao Y, Chang L, Ji H, Sun H, Song S, Feng K, Nuermaimaiti A, Halemubieke S, Mei L, Lu Z, Yan Y, Wang L. Posttranslational modifications of ACE2 protein: Implications for SARS-CoV-2 infection and beyond. J Med Virol 2023; 95:e29304. [PMID: 38063421 DOI: 10.1002/jmv.29304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 10/21/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023]
Abstract
The present worldwide pandemic of coronavirus disease 2019 (COVID-19) has highlighted the important function of angiotensin-converting enzyme 2 (ACE2) as a receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry. A deeper understanding of ACE2 could offer insights into the mechanisms of SARS-CoV-2 infection. While ACE2 is subject to regulation by various factors in vivo, current research in this area is insufficient to fully elucidate the corresponding pathways of control. Posttranslational modification (PTM) is a powerful tool for broadening the variety of proteins. The PTM study of ACE2 will help us to make up for the deficiency in the regulation of protein synthesis and translation. However, research on PTM-related aspects of ACE2 remains limited, mostly focused on glycosylation. Accordingly, a comprehensive review of ACE2 PTMs could help us better understand the infection process and provide a basis for the treatment of COVID-19 and beyond.
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Affiliation(s)
- Yingzi Xiao
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Le Chang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Huimin Ji
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Huizhen Sun
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Shi Song
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Kaihao Feng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Abudulimutailipu Nuermaimaiti
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Shana Halemubieke
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Ling Mei
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Zhuoqun Lu
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Ying Yan
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
| | - Lunan Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, People's Republic of China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, People's Republic of China
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18
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Liu P, Zheng Y. Heavy-tailed distributions of confirmed COVID-19 cases and deaths in spatiotemporal space. PLoS One 2023; 18:e0294445. [PMID: 37988387 PMCID: PMC10662771 DOI: 10.1371/journal.pone.0294445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023] Open
Abstract
This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVID-19 cases and deaths at county, city, and state levels over a time span from January 2020 to June 2022. The mathematical heavy-tailed distributions can be used for fitting the empirical distributions observed in different temporal stages and geographical scales. The estimations of the shape parameter of the tail distributions using the Generalized Pareto Distribution also support the observations of the heavy-tailed distributions. According to the characteristics of the heavy-tailed distributions, the evolution course of the geographical empirical distributions can be divided into three distinct phases, namely the power-law phase, the lognormal phase I, and the lognormal phase II. These three phases could serve as an indicator of the severity degree of the COVID-19 pandemic within an area. The empirical results suggest important intrinsic dynamics of a human infectious virus spread in the human interconnected physical complex network. The findings extend previous empirical studies and could provide more strict constraints for current mathematical and physical modeling studies, such as the SIR model and its variants based on the theory of complex networks.
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Affiliation(s)
- Peng Liu
- School of Information, Xi’an University of Finance and Economics, Xi’an, Shaanxi, P. R. China
| | - Yanyan Zheng
- School of Management, Xi’an Polytechnic University, Xi’an, Shaanxi, P. R. China
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19
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López-Cuevas JA, Martínez-García M, Hernández-Lemus E, de Anda-Jáuregui G. Exploring disparities and novel insights into metabolic and cardiovascular comorbidities among COVID-19 patients in Mexico. Front Public Health 2023; 11:1270404. [PMID: 37927854 PMCID: PMC10623435 DOI: 10.3389/fpubh.2023.1270404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/27/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction The COVID-19 pandemic, especially its early stages, sparked extensive discussions regarding the potential impact of metabolic and cardiovascular comorbidities on the severity and fatality of SARS-CoV-2 infection, yielding inconclusive outcomes. In this study, we delve into the prevalence of metabolic and cardiovascular comorbidities within COVID-19 patients in Mexico. Methods Employing a retrospective observational study design, we collected data from official databases encompassing COVID-19 patients admitted to both public and private hospitals in Mexico City. Results Our investigation unveiled a noteworthy incongruity in the prevalence of metabolic and cardiovascular comorbidities among COVID-19 patients, with a particular emphasis on obesity, hypertension, and diabetes. This incongruity manifests as location-dependent phenomena, where the prevalence of these comorbidities among COVID-19 patients significantly deviates from the reported values for the general population in each specific location. Discussion These findings underscore the critical importance of screening for metabolic and cardiovascular comorbidities in COVID-19 patients and advocate for the necessity of tailored interventions for this specific population. Furthermore, our study offers insights into the intricate interplay between COVID-19 and metabolic and cardiovascular comorbidities, serving as a valuable foundation for future research endeavors and informing clinical practice.
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Affiliation(s)
- Jonathan Ariel López-Cuevas
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Immunology Department, National Institute of Cardiology Ignacio Chávez, Mexico City, Mexico
| | - Mireya Martínez-García
- Immunology Department, National Institute of Cardiology Ignacio Chávez, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Guillermo de Anda-Jáuregui
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Investigadores e Investigadoras for Mexico (formerly Cátedras Conacyt), National Council on Humanities, Science and Technology, Mexico City, Mexico
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20
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Mohebbi A, Eterafi M, Fouladi N, Golizadeh M, Panahizadeh R, Habibzadeh S, Karimi K, Safarzadeh E. Adverse Effects Reported and Insights Following Sinopharm COVID-19 Vaccination. Curr Microbiol 2023; 80:377. [PMID: 37861721 DOI: 10.1007/s00284-023-03432-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 07/28/2023] [Indexed: 10/21/2023]
Abstract
Vaccines are promising strategies for controlling COVID-19; however, COVID-19 vaccine side effects play a central role in public confidence in the vaccine and its uptake process. This study aimed to provide evidence on the post-vaccination early side effects of the BBIBP-CorV (Sinopharm) vaccine. This cross-sectional survey-based study was conducted between November 2021 and January 2022 among recipients of the BBIBP-CorV vaccine, using a questionnaire-based survey. Our final sample consisted of 657 participants, including 392 women. Among the study cases, only 103 (15.7%) participants received one dose of vaccine, and the rest received both doses (N = 554, 84.3%). Systemic symptoms (first dose: N = 187, both doses: N = 128) were the most commonly reported events after vaccination, and among them, injection site pain (first dose: 19.3%, both doses: 12.9%) was the most prevalent adverse effect. All reporting events were mild and resolved in less than 3 days without hospitalization. Among the participants, females and young people aged 35-65 were more prone to manifest side effects (N = 169, 53.3%) after the vaccine injection. Furthermore, our results revealed that the recipients who were suffering from underlying diseases, including diabetes, renal disorder, and respiratory illness, reported fewer adverse responses after vaccination in comparison with healthy individuals. Vaccination against SARS-CoV-2 may lead to some adverse reactions in recipients. However, the frequency of post-vaccination early side effects differed in people, but all responses were slight and temporary.
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Affiliation(s)
- Alireza Mohebbi
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Majid Eterafi
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Nasrin Fouladi
- School of Medicine and Allied Medical Sciences, Ardabil University of Medical Sciences, Ardabil, Iran
- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Majid Golizadeh
- Cancer Immunology and Immunotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Reza Panahizadeh
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Shahram Habibzadeh
- Department of Internal Medicine, Emam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Kimia Karimi
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Elham Safarzadeh
- Cancer Immunology and Immunotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
- Department of Microbiology, Parasitology, and Immunology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
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21
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Wang J, Huang Y, Dong Y, Wu B. Assessment of the impact of reopening strategies on the spatial transmission risk of COVID-19 based on a data-driven transmission model. Sci Rep 2023; 13:11146. [PMID: 37429885 DOI: 10.1038/s41598-023-37297-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/19/2023] [Indexed: 07/12/2023] Open
Abstract
COVID-19 has dramatically changed people's mobility geste patterns and affected the operations of different functional spots. In the environment of the successful reopening of countries around the world since 2022, it's pivotal to understand whether the reopening of different types of locales poses a threat of wide epidemic transmission. In this paper, by establishing an epidemiological model based on mobile network data, combining the data handed by the Safegraph website, and taking into account the crowd inflow characteristics and the changes of susceptible and latent populations, the trends of the number of crowd visits and the number of epidemic infections at different functional points of interest after the perpetration of continuing strategies were simulated. The model was also validated with daily new cases in ten metropolitan areas in the United States from March to May 2020, and the results showed that the model fitted the evolutionary trend of realistic data more accurately. Further, the points of interest were classified into risk levels, and the corresponding reopening minimum standard prevention and control measures were proposed to be implemented according to different risk levels. The results showed that restaurants and gyms became high-risk points of interest after the perpetration of the continuing strategy, especially the general dine-in restaurants were at higher risk levels. Religious exertion centers were the points of interest with the loftiest average infection rates after the perpetration of the continuing strategy. Points of interest such as convenience stores, large shopping malls, and pharmacies were at a lower risk for outbreak impact after the continuing strategy was enforced. Based on this, continuing forestallment and control strategies for different functional points of interest are proposed to provide decision support for the development of precise forestallment and control measures for different spots.
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Affiliation(s)
- Jing Wang
- School of Economics and Management, Fuzhou University, Fuzhou, 350116, China.
- Emergency Management Research Center, Fuzhou University, Fuzhou, 350116, China.
| | - YuHui Huang
- School of Economics and Management, Fuzhou University, Fuzhou, 350116, China
| | - Ying Dong
- School of Economics and Management, Fuzhou University, Fuzhou, 350116, China
| | - BingYing Wu
- School of Economics and Management, Fuzhou University, Fuzhou, 350116, China
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22
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Varde AS, Karthikeyan D, Wang W. Facilitating COVID recognition from X-rays with computer vision models and transfer learning. MULTIMEDIA TOOLS AND APPLICATIONS 2023:1-32. [PMID: 37362714 PMCID: PMC10213594 DOI: 10.1007/s11042-023-15744-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 05/17/2022] [Accepted: 04/22/2023] [Indexed: 06/28/2023]
Abstract
Multimedia data plays an important role in medicine and healthcare since EHR (Electronic Health Records) entail complex images and videos for analyzing patient data. In this article, we hypothesize that transfer learning with computer vision can be adequately harnessed on such data, more specifically chest X-rays, to learn from a few images for assisting accurate, efficient recognition of COVID. While researchers have analyzed medical data (including COVID data) using computer vision models, the main contributions of our study entail the following. Firstly, we conduct transfer learning using a few images from publicly available big data on chest X-rays, suitably adapting computer vision models with data augmentation. Secondly, we aim to find the best fit models to solve this problem, adjusting the number of samples for training and validation to obtain the minimum number of samples with maximum accuracy. Thirdly, our results indicate that combining chest radiography with transfer learning has the potential to improve the accuracy and timeliness of radiological interpretations of COVID in a cost-effective manner. Finally, we outline applications of this work during COVID and its recovery phases with future issues for research and development. This research exemplifies the use of multimedia technology and machine learning in healthcare.
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Affiliation(s)
- Aparna S. Varde
- School of Computing, Montclair State University, Montclair, NJ USA
- Max Planck Institute for Informatics (Visiting Researcher), Saarbrucken, Germany
| | | | - Weitian Wang
- School of Computing, Montclair State University, Montclair, NJ USA
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23
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Houeze EA, Wang Y, Zhou Q, Zhang H, Wang X. Comparison study of Beninese and Chinese herbal medicines in treating COVID-19. JOURNAL OF ETHNOPHARMACOLOGY 2023; 308:116172. [PMID: 36773790 PMCID: PMC9911150 DOI: 10.1016/j.jep.2023.116172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/22/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE The worldwide use of natural remedies is an alternative therapeutic solution to strengthen immunity, fight, and prevent this disease. The rapid spread of the coronavirus disease worldwide has promoted the search for therapeutic solutions following different approaches. China and Benin have seen the use of natural remedies such as Chinese herbal medicine and local endemic plants as alternative solutions in treating COVID-19. AIM OF THE STUDY The present study was designed to identify the prevalence of medicinal plant use in four municipalities of Benin most affected by COVID-19 and compare them with traditional Chinese medicine and finally verify the efficacy of the main components of the six plants most frequently used, via in vitro experiments. MATERIALS AND METHODS This study targeting market herbalists and traditional healers was conducted in the form of an ethnomedicinal survey in four representative communities (Cotonou, Abomey-Calavi, Zè, and Ouidah) of southern Benin. The chemical compositions of the six most commonly used herbs were investigated using network pharmacology. Network-based global prediction of disease genes and drug, target, function, and pathway enrichment analysis of the top six herbs was conducted using databases including IPA and visualised using Cytoscape software. The natural botanical drugs involved three medicines and three formulas used in the treatment of COVID-19 in China from the published literature were compared with the top six botanical drugs used in Benin to identify similarities between them and guide the clinical medication in both countries. Finally, the efficacy of the common ingredients in six plants was verified by measuring the viability of BEAS-2B cells and the release of inflammatory factors after administration of different ingredients. Binding abilities of six components to COVID-19 related targets were verified by molecular docking. RESULTS According to the medication survey investigation, the six most used herbs were Citrus aurantiifolia (13.18%), Momordica charantia (7.75%), Ocimum gratissimum (7.36%), Crateva adansonii (6.59%), Azadirachta indica (5.81%), and Zanthoxylum zanthoxyloides (5.42%). The most represented botanical families were Rutaceae, Lamiaceae, Cucurbitaceae, Meliaceae, and Capparaceae. The network pharmacology of these six herbal plants showed that the flavonoids quercetin, kaempferol, and β-sitosterol were the main active ingredients of the Benin herbal medicine. Chinese and Beninese herbal medicine are similar in that they have the same targets and pathways in inflammation and oxidative stress relief. Mild COVID-19-related targets come from C. aurantiifolia and M. charantia, and severe COVID-19-related targets come from A. indica A. Juss. Cell viability and enzyme-linked immunosorbent assay results confirmed that six major compounds could protect BEAS-2B cells against injury by inhibiting the expression of inflammatory factors, among which quercetin and isoimperatorin were more effective. Docking verified that the six compounds have good binding potential with COVID-19 related targets. CONCLUSIONS These results suggest that Benin herbal medicine and Chinese herbal medicine overlap in compounds, targets, and pathways to a certain extent. Among the commonly used plants in Benin, C. aurantiifolia and M. charantia may have a good curative effect on the treatment of mild COVID-19, while for severe COVID-19, A. indica can be added on this basis.
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Affiliation(s)
- Elisabeth A Houeze
- Ministry of Education Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yi Wang
- Ministry of Education Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Qian Zhou
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China
| | - Han Zhang
- Ministry of Education Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Xiaoying Wang
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.
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24
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Liu Q, Ma F, Zhong Y, Wang G, Hu L, Zhang Y, Xie J. Efficacy and safety of human umbilical cord-derived mesenchymal stem cells for COVID-19 pneumonia: a meta-analysis of randomized controlled trials. Stem Cell Res Ther 2023; 14:118. [PMID: 37143167 PMCID: PMC10159228 DOI: 10.1186/s13287-023-03286-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 03/16/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Elevated levels of inflammatory factors are associated with poor prognosis in coronavirus disease-19 (COVID-19). However, mesenchymal stem cells (MSCs) have immunomodulatory functions. Accordingly, this meta-analysis aimed to determine the efficacy and safety of MSC-based therapy in patients with COVID-19 pneumonia. METHODS Online global databases were used to find relevant studies. Two independent researchers then selected and evaluated the studies for suitability while the Cochrane risk of bias tool determined the quality of all articles and Cochran's Q test and I2 index assessed the degree of heterogeneity in the principal studies. Statistical analysis was performed using Review Manager software, and the effect of each study on the overall estimate was evaluated by sensitivity analysis. RESULTS Seven studies were included in the meta-analysis, and all MSCs used in the trials were acquired from the umbilical cord. The results of these studies (n = 328) indicated that patients with COVID-19 pneumonia who received MSCs had a 0.58 risk of death compared with controls (95% CI = 0.38, 0.87; P = 0.53; I2 = 0%). In terms of inflammatory biomarkers, MSCs reduced the levels of C-reactive protein (n = 88; MD = - 32.49; 95% CI = - 48.43, - 16.56; P = 0.46; I2 = 0%) and interferon-gamma (n = 44; SMD = - 1.23; 95% CI = - 1.89, - 0.57; P = 0.37; I2 = 0%) in severe COVID-19 patients but had no significant effect on interleukin-6 (n = 185; MD = - 0.75; 95% CI = - 7.76, 6.27; P = 0.57; I2 = 0%). A summary of the data revealed no significant differences in adverse events (n = 287) or serious adverse events (n = 229) between the MSC and control groups. CONCLUSIONS Infusion of umbilical cord-derived MSCs is an effective strategy for treating patients with COVID-19 pneumonia, with no noticeable adverse effects.
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Affiliation(s)
- Qinxue Liu
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China
| | - Fengjie Ma
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China
| | - Yizhi Zhong
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China
| | - Gaojian Wang
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China
| | - Li Hu
- Department of Anesthesiology, Second Affiliated Hospital of Jiaxing University, No.1518 North Huancheng Road, Nanhu District, Jiaxing, 314000, China
| | - Yaping Zhang
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China
| | - Junran Xie
- Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, No.3 East Qingchun Road, Jianggan District, Hangzhou, 310016, China.
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25
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Wang C, Ye X, Ding C, Zhou M, Li W, Wang Y, You Q, Zong S, Peng Q, Duanmu D, Chen H, Sun B, Qiao J. Two Resveratrol Oligomers Inhibit Cathepsin L Activity to Suppress SARS-CoV-2 Entry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:5535-5546. [PMID: 36996017 PMCID: PMC10069644 DOI: 10.1021/acs.jafc.2c07811] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/03/2023] [Accepted: 03/21/2023] [Indexed: 06/12/2023]
Abstract
Cell entry of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) depends on specific host cell proteases, which are the key targets for preventing and treating viral infections. Herein, we describe miyabenol C and trans-ε-viniferin, two resveratrol oligomers that specifically inhibit SARS-CoV-2 entry by targeting host protease cathepsin L. Several cell-based assays were used to demonstrate the effect of resveratrol oligomers, and their target was identified via screening of antiviral targets. Molecular docking analysis suggested that the oligomers could occupy the active cavity of cathepsin L. The surface plasmon resonance assay showed that the equilibrium dissociation constant (KD) values of miyabenol C-cathepsin L and trans-ε-viniferin-cathepsin L were 5.54 and 8.54 μM, respectively, indicating their excellent binding ability for cathepsin L. Our study demonstrated the potential application of resveratrol oligomers as lead compounds in controlling SARS-CoV-2 infection by targeting cathepsin L.
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Affiliation(s)
- Chenghai Wang
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
- State Key Laboratory of Agricultural Microbiology,
Hubei Hongshan Laboratory, Huazhong Agricultural University,
Wuhan 430070, China
| | - Xiansheng Ye
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Chengchao Ding
- The First Affiliated Hospital of USTC, Division of Life
Sciences and Medicine, University of Science and Technology of China
(USTC), Hefei 230026, China
| | - Mengqi Zhou
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Weiling Li
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Yuansong Wang
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Qiang You
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Shan Zong
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Qian Peng
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Deqiang Duanmu
- State Key Laboratory of Agricultural Microbiology,
Hubei Hongshan Laboratory, Huazhong Agricultural University,
Wuhan 430070, China
| | - Haifeng Chen
- Fujian Provincial Key Laboratory of Innovative Drug
Target, School of Pharmaceutical Sciences, Xiamen University,
Xiamen 361005, China
| | - Binlian Sun
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
| | - Jialu Qiao
- Wuhan Institute of Biomedical Sciences, School of
Medicine, Jianghan University, Wuhan 430056,
China
- Hubei Key Laboratory of Wudang Local Chinese Medicine
Research, Hubei University of Medicine, Shiyan 442000,
China
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26
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Metellus P, Jegede O, Brown C, Qureshi D, Nkemjika S. A Review of the Mental Health Sequelae of the SARS-CoV-2 (COVID-19): Preparedness Perspective. Cureus 2023; 15:e37643. [PMID: 37200645 PMCID: PMC10187944 DOI: 10.7759/cureus.37643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2023] [Indexed: 05/20/2023] Open
Abstract
Despite the three significant epidemics that have rattled the world in the last two decades, many questions remain unanswered! The concept of unwanted psychological distress remains looming after any epidemic or pandemic. The public health burden of the COVID-19 pandemic still resonates with different aspects of life with predicted mental health sequelae. This review will focus on the role of natural disasters and past infectious epidemic-related mental health complications. Additionally, the study provides recommendations and policy suggestions for mitigating COVID-19-related mental health prevalence.
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Affiliation(s)
| | | | - Colvette Brown
- Environmental Health, Newton County Health Department, Covington, USA
- Population Health Sciences, Georgia State University School of Public Health, Atlanta, USA
| | | | - Stanley Nkemjika
- Population Health Sciences, Georgia State University School of Public Health, Atlanta, USA
- Psychiatry and Behavioral Sciences, Interfaith Medical Center, Brooklyn, USA
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27
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Nemery O, Nail AM, Hamed MS, Imad Z, William J. Consequences of COVID-19 Among Adult HIV Patients Versus Non-HIV Patients: Two-Year Data From the Primary Isolation Centre in Sudan. Cureus 2023; 15:e36939. [PMID: 37131575 PMCID: PMC10148964 DOI: 10.7759/cureus.36939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
Background The COVID-19 pandemic remains to have a global impact despite the great efforts in prevention. Controversy persists regarding the outcomes of SARS-CoV-2 among HIV patients versus non-HIV individuals. Objective This study aimed to assess the impact of COVID-19 among adult patients with HIV versus non-HIV in the chief isolation centre in Khartoum state, Sudan. Methods This is an analytical cross-sectional, comparative single-centre study conducted at the Chief Sudanese Coronavirus Isolation Centre in Khartoum from March 2020 to July 2022. Data were analysed using SPSS V.26 (IBM Corp., Armonk, USA). Results This study included 99 participants. The overall age mean was 50±1 years old, with a male predominance of 66.7% (n=66). 9.1% (n=9) of the participants were HIV cases, 33.3% of whom were newly diagnosed. The majority, 77.8%, reported poor adherence to anti-retroviral therapy. The most common complications included acute respiratory failure (ARF) and multiple organ failure, 20.2% and 17.2%, respectively. The overall complications were higher among HIV cases than non-HIV cases; however, statistically insignificant (p>0.05 ), except for acute respiratory failure (p<0.05). 48.5% of participants were admitted to the intensive care unit (ICU), with slightly higher rates among HIV cases; however, this was statistically insignificant (p=0.656). Regarding the outcome, 36.4% (n=36) recovered and were discharged. Although a higher mortality rate was reported among HIV cases compared to non-HIV cases (55% vs 40%), it was statistically insignificant (p=0.238). Conclusion The mortality and morbidity percent proportion among HIV patients with superimposed COVID-19 infection was higher than in non-HIV patients but statistically insignificant aside from ARF. Consequently, this category of patients, to a large extent, should not be considered highly susceptible to adverse outcomes when infected with COVID-19; however, ARF should be closely monitored for.
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28
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Berec L, Diviák T, Kuběna A, Levínský R, Neruda R, Suchopárová G, Šlerka J, Šmíd M, Trnka J, Tuček V, Vidnerová P, Zajíček M. On the contact tracing for COVID-19: A simulation study ☆. Epidemics 2023; 43:100677. [PMID: 36989916 PMCID: PMC10019035 DOI: 10.1016/j.epidem.2023.100677] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/05/2023] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID-19. Methods: In order to analyse individual contact tracing in a reasonably realistic setup, we construct an agent-based model of a small municipality with about 60.000 inhabitants (nodes) and about 2.8 million social contacts (edges) in 30 different layers. Those layers reflect demographic, geographic, sociological and other patterns of the TTWA (Travel-to-work-area) Hodonín in Czechia. Various data sources such as census, land register, transport data or data reflecting the shopping behaviour, were employed to meet this purpose. On this multi-graph structure we run a modified SEIR model of the COVID-19 dynamics. The parameters of the model are calibrated on data from the outbreak in the Czech Republic in the period March to June 2020. The simplest type of contact tracing follows just the family, the second tracing version tracks the family and all the work contacts, the third type finds all contacts with the family, work contacts and friends (leisure activities). The last one is a complete (digital) tracing capable of recalling any and all contacts. We evaluate the performance of these contact tracing strategies in four different environments. First, we consider an environment without any contact restrictions (benchmark); second with strict contact restriction (replicating the stringent non-pharmaceutical interventions employed in Czechia in the spring 2020); third environment, where the measures were substantially relaxed, and, finally an environment with weak contact restrictions and superspreader events (replicating the situation in Czechia in the summer 2020). Findings: There are four main findings in our paper. 1. In general, local closures are more effective than any type of tracing. 2. In an environment with strict contact restrictions there are only small differences among the four contact tracing strategies. 3. In an environment with relaxed contact restrictions the effectiveness of the tracing strategies differs substantially. 4. In the presence of superspreader events only complete contact tracing can stop the epidemic. Interpretation: In situations, where many other non-pharmaceutical interventions are in place, the specific extent of contact tracing may not have a large influence on their effectiveness. In a more relaxed setting with few contact restrictions and larger events the effectiveness of contact tracing depends heavily on their extent.
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Affiliation(s)
- Luděk Berec
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,Centre for Mathematical Biology, Institute of Mathematics, Faculty of Science, University of South Bohemia, Branišovská 1760, 37005 České Budějovice, Czech Republic,Czech Academy of Sciences, Biology Centre, Institute of Entomology, Department of Ecology, Branišovská 31, 37005, České Budějovice, Czech Republic
| | - Tomáš Diviák
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,Department of Criminology and Mitchell Centre for Social Network Analysis, School of Social Sciences, University of Manchester, Oxford Rd, Manchester, UK
| | - Aleš Kuběna
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Information Theory and Automation, Pod Vodárenskou věží 4, 18200 Praha 8, Czech Republic
| | - René Levínský
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,CERGE-EI, Politických vězňů 7, 11121 Praha 1, Czech Republic,New Media Studies, Faculty of Arts, Charles University, Na Pří kopě 29, 110 00 Praha 1, Czech Republic
| | - Roman Neruda
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Computer Science, Pod Vodárenskou věží 2, 18200 Praha 8, Czech Republic,Corresponding author at: The Czech Academy of Sciences, Institute of Computer Science, Pod Vodárenskou věží 2, 18200 Praha 8, Czech Republic
| | - Gabriela Suchopárová
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Computer Science, Pod Vodárenskou věží 2, 18200 Praha 8, Czech Republic
| | - Josef Šlerka
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Information Theory and Automation, Pod Vodárenskou věží 4, 18200 Praha 8, Czech Republic
| | - Martin Šmíd
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,New Media Studies, Faculty of Arts, Charles University, Na Pří kopě 29, 110 00 Praha 1, Czech Republic
| | - Jan Trnka
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,Department of Biochemistry, Cell and Molecular Biology, Third Faculty of Medicine, Charles University, Ruská 87, 100 00 Praha 10, Czech Republic
| | - Vít Tuček
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,Department of Mathematics, University of Zagreb, Bijenička 30, 10000 Zagreb, Croatia
| | - Petra Vidnerová
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Computer Science, Pod Vodárenskou věží 2, 18200 Praha 8, Czech Republic
| | - Milan Zajíček
- Centre for Modelling of Biological and Social Processes, Na Břehu 497/15, 190 00 Praha 9, Czech Republic,The Czech Academy of Sciences, Institute of Information Theory and Automation, Pod Vodárenskou věží 4, 18200 Praha 8, Czech Republic
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29
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Li Y, Niu JW, Zhou X, Chu PP, Zhang KL, Gou HC, Yang DX, Zhang JF, Li CL, Liao M, Zhai SL. Development of a multiplex qRT-PCR assay for the detection of porcine epidemic diarrhea virus, porcine transmissible gastroenteritis virus and porcine Deltacoronavirus. Front Vet Sci 2023; 10:1158585. [PMID: 37008344 PMCID: PMC10060962 DOI: 10.3389/fvets.2023.1158585] [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: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
Currently, porcine coronaviruses are prevalent in pigs, and due to the outbreak of COVID-19, porcine coronaviruses have become a research hotspot. porcine epidemic diarrhea virus (PEDV), Transmissible Gastroenteritis Virus (TGEV), and Porcine Deltacoronavirus (PDCoV) mentioned in this study mainly cause diarrhea in pigs. These viruses cause significant economic losses and pose a potential public health threat. In this study, specific primers and probes were designed according to the M gene of PEDV, the S gene of TGEV, and the M gene of PDCoV, respectively, and TaqMan probe-based multiplex real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was developed for the simultaneous detection of PEDV, TGEV, and PDCoV. This method has high sensitivity and specificity, and the detection limit of each virus can reach 2.95 × 100 copies/μl. An assay of 160 clinical samples from pigs with diarrhea showed that the positive rates of PEDV, TGEV, and PDCoV were 38.13, 1.88, and 5.00%; the coinfection rates of PEDV+TGEV, PEDV+PDCoV, TGEV+PDCoV, PEDV+TGEV+PDCoV were 1.25, 1.25, 0, 0.63%, respectively. The positive coincidence rates of the multiplex qRT-PCR and single-reaction qRT-PCR were 100%. This method is of great significance for clinical monitoring of the porcine enteric diarrhea virus and helps reduce the loss of the breeding industry and control the spread of the disease.
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Affiliation(s)
- Yan Li
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Jia-Wei Niu
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Xia Zhou
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Pin-Pin Chu
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Kun-Li Zhang
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Hong-Chao Gou
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Dong-Xia Yang
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Jian-Feng Zhang
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Chun-Ling Li
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
| | - Ming Liao
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
- Maoming Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Maoming, China
| | - Shao-Lun Zhai
- Guangdong Provincial Key Laboratory of Livestock Disease Prevention, Institute of Animal Health Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Guangzhou, Guangdong, China
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Liu XQ, Guo YX, Xu Y. Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives. World J Clin Cases 2023; 11:1442-1457. [PMID: 36926387 PMCID: PMC10011984 DOI: 10.12998/wjcc.v11.i7.1442] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/06/2023] [Accepted: 02/10/2023] [Indexed: 03/02/2023] Open
Abstract
The worldwide prevalence of anxiety disorders among college students is high, which negatively affects countries, schools, families, and individual students to varying degrees. This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders. Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic. College-level risk factors include the indoor environment design of the college environment, peer relationships, student satisfaction with college culture, and school functional levels. Family-level risk factors include parenting style, family relationship, and parental level of education. Individual-level risk factors include biological factors, lifestyle, and personality. Among the intervention options for college students' anxiety disorders, in addition to traditional cognitive behavioral therapy, mindfulness-based interventions, psychological counseling, and group counseling, digital mental health interventions are increasingly popular due to their low cost, positive effect, and convenient diagnostics and treatment. To better apply digital intervention to the prevention and treatment of college students' anxiety, this paper suggests that the different stakeholders form a synergy among themselves. The nation and society should provide necessary policy guarantees, financial support, and moral and ethical supervision for the prevention and treatment of college students' anxiety disorders. Colleges should actively participate in the screening and intervention of college students' anxiety disorders. Families should increase their awareness of college students' anxiety disorders and take the initiative to study and understand various digital intervention methods. College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services. We believe that in the future, the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.
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Affiliation(s)
- Xin-Qiao Liu
- School of Education, Tianjin University, Tianjin 300350, China
| | - Yu-Xin Guo
- School of Education, Tianjin University, Tianjin 300350, China
| | - Yi Xu
- School of Education, Tianjin University, Tianjin 300350, China
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Hussain S, Mubeen M, Ahmad A, Fahad S, Nasim W, Hammad HM, Shah GM, Murtaza B, Tahir M, Parveen S. Using space-time scan statistic for studying the effects of COVID-19 in Punjab, Pakistan: a guideline for policy measures in regional agriculture. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:42495-42508. [PMID: 34800269 PMCID: PMC8605466 DOI: 10.1007/s11356-021-17433-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/04/2021] [Indexed: 04/13/2023]
Abstract
Pakistan is included in top 50 countries which are estimated to face serious agriculture and food deficiency related challenges due to the worldwide pandemic coronavirus 2019 (COVID-19). The aim of this study was to evaluate the effects of COVID-19 on food supply chain and agriculture in Punjab, Pakistan, by using space-time scan statistic (STSS). A survey was conducted at 720 points in different districts of the province. The STSS detected "active" and emerging clusters that are current at the end of our study area-particularly, 17 clusters were formed while adding the updated case data. Software ArcGIS 10.3 was used to find relative risk (RR) values; the maximum RR value was found to be 42.19 and maximum observed cases 53,265 during June 15-July 1, 2020. It was not always necessary that if the number of active cases in Punjab increased, there should be higher relative risk for more number of districts and vice versa. Due to the highest number of cases of COVID-19 and RR values during July, mostly farmers faced many difficulties during the cultivation of cotton and rice. Mostly farmers (72%) observed increase in prices of inputs (fertilizers and pesticides) during lockdown. If the supply chain of agriculture related inputs is disturbed, farmers may find it quite difficult to access markets, which could result in a decline in production and sales of crops and livestock in study area. It is suggested that to protect the food security and to decrease the effect of the lockdown, Punjab government needs to review food policy and analyse how market forces will respond to the imbalanced storage facilities and capacity, supply and demand and price control of products. The findings of this study can also help policy-makers to formulate an effective food security and agriculture adaptation strategy.
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Affiliation(s)
- Sajjad Hussain
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan.
| | - Muhammad Mubeen
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan.
| | - Ashfaq Ahmad
- Asian Disaster Preparedness Center (ADPC), Bangkok, Thailand
| | - Shah Fahad
- Department of Agronomy, The University of Haripur, Haripur, 22620, Pakistan
| | - Wajid Nasim
- Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur (IUB), Bahawalpur, Pakistan
| | - Hafiz Mohkum Hammad
- Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan
| | - Ghulam Mustafa Shah
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan
| | - Behzad Murtaza
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan
| | - Muhammad Tahir
- Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus, Islamabad, 61100, Pakistan
| | - Saima Parveen
- Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan.
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Interactions between Humans and Dogs during the COVID-19 Pandemic: Recent Updates and Future Perspectives. Animals (Basel) 2023; 13:ani13030524. [PMID: 36766413 PMCID: PMC9913536 DOI: 10.3390/ani13030524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
COVID-19 is one of the deadliest epidemics. This pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the role of dogs in spreading the disease in human society is poorly understood. This review sheds light on the limited susceptibility of dogs to COVID-19 infections which is likely attributed to the relatively low levels of angiotensin-converting enzyme 2 (ACE2) in the respiratory tract and the phylogenetic distance of ACE2 in dogs from the human ACE2 receptor. The low levels of ACE2 affect the binding affinity between spike and ACE2 proteins resulting in it being uncommon for dogs to spread the disease. To demonstrate the role of dogs in spreading COVID-19, we reviewed the epidemiological studies and prevalence of SARS-CoV-2 in dogs. Additionally, we discussed the use of detection dogs as a rapid and reliable method for effectively discriminating between SARS-CoV-2 infected and non-infected individuals using different types of samples (secretions, saliva, and sweat). We considered the available information on COVID-19 in the human-dog interfaces involving the possibility of transmission of COVID-19 to dogs by infected individuals and vice versa, the human-dog behavior changes, and the importance of preventive measures because the risk of transmission by domestic dogs remains a concern.
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Salihi S, Perçin B, Erkengel HI, Özalp B, Saçlı H, Kara I. Does COVID-19 infection increase the risk of pulmonary embolism in ambulatory patients with deep vein thrombosis. Vascular 2023; 31:182-188. [PMID: 34866519 DOI: 10.1177/17085381211052207] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Coronavirus disease 2019 (COVID-19) can lead to systemic coagulation activation and thrombotic complications including venous thromboembolism. This study compares the development of pulmonary embolism, post-thrombotic syndrome, and clinical outcomes of COVID-19 and non-COVID-19 patients with deep vein thrombosis (DVT). METHODS One hundred and eight patients diagnosed with acute deep vein thrombosis (DVT) between June 2020 and February 2021 in our institution were included in this retrospective study. Thirty-nine patients had been previously diagnosed with COVID-19 and specified as the COVID-19 group. Sixty-nine patients did not have COVID-19 and specified as the non-COVID-19 group. Mean ages of both groups were 64.3 ± 15.8 and 60.1 ± 19.7 years, respectively (p = .37). RESULTS The median duration from the onset of the COVID-19 to diagnosis of DVT was 22 (2-120) days in the COVID-19 group. The patients of two groups were mostly treated outpatient at rates of 94.9% vs 94.2%, respectively (p = .88). Pulmonary embolism was seen in six patients (15.4%) in the COVID-19 group and in three patients (4.3%) in the non-COVID-19 group (p = .04). Kaplan-Meir curves showed that patients with COVİD-19 had significantly higher pulmonary embolism than those without COVID-19 (p = .015). The recurrence rate of DVT was 2.6% in the COVID-19 group (n = 1), and 4.3% in the non-COVID-19 group (n = 3), indicating no statistically significant difference (p = .63). Mortality was seen in six patients (15.4%) in the COVİD-19 group, and in seven patients (10.1%) in the non-COVID-19 group. According to the Kaplan-Meir method, 10 months survival rates were 73.9 ± 10% in the COVID-19 group, and 66.3 ± 12.8% in the non-COVID-19 group with no statistical significance (p = .218). CONCLUSIONS Our data draw attention to the fact that deep vein thrombosis should not be considered a safe and self-limited condition. Efficient preventive measures such as mobilization and prophylactic drug use should be considered to prevent DVT during the management of COVID-19.
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Affiliation(s)
- Salih Salihi
- Medicine Faculty, Department of Cardiovascular Surgery, 175678Sakarya University, Sakarya, Turkey
| | - Bilal Perçin
- Department of Cardiovascular Surgery, 175679Sakarya University Training and Research Hospital, Sakarya, Turkey
| | - Halil Ibrahim Erkengel
- Department of Cardiovascular Surgery, 175679Sakarya University Training and Research Hospital, Sakarya, Turkey
| | - Bilhan Özalp
- Department of Cardiovascular Surgery, 175679Sakarya University Training and Research Hospital, Sakarya, Turkey
| | - Hakan Saçlı
- Medicine Faculty, Department of Cardiovascular Surgery, 175678Sakarya University, Sakarya, Turkey
| | - Ibrahim Kara
- Medicine Faculty, Department of Cardiovascular Surgery, 175678Sakarya University, Sakarya, Turkey
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Zhao J, Dellicour S, Yan Z, Veit M, Gill MS, He WT, Zhai X, Ji X, Suchard MA, Lemey P, Su S. Early Genomic Surveillance and Phylogeographic Analysis of Getah Virus, a Reemerging Arbovirus, in Livestock in China. J Virol 2023; 97:e0109122. [PMID: 36475767 PMCID: PMC9888209 DOI: 10.1128/jvi.01091-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/14/2022] [Indexed: 12/13/2022] Open
Abstract
Getah virus (GETV) mainly causes disease in livestock and may pose an epidemic risk due to its expanding host range and the potential of long-distance dispersal through animal trade. Here, we used metagenomic next-generation sequencing (mNGS) to identify GETV as the pathogen responsible for reemerging swine disease in China and subsequently estimated key epidemiological parameters using phylodynamic and spatially-explicit phylogeographic approaches. The GETV isolates were able to replicate in a variety of cell lines, including human cells, and showed high pathogenicity in a mouse model, suggesting the potential for more mammal hosts. We obtained 16 complete genomes and 79 E2 gene sequences from viral strains collected in China from 2016 to 2021 through large-scale surveillance among livestock, pets, and mosquitoes. Our phylogenetic analysis revealed that three major GETV lineages are responsible for the current epidemic in livestock in China. We identified three potential positively selected sites and mutations of interest in E2, which may impact the transmissibility and pathogenicity of the virus. Phylodynamic inference of the GETV demographic dynamics identified an association between livestock meat consumption and the evolution of viral genetic diversity. Finally, phylogeographic reconstruction of GETV dispersal indicated that the sampled lineages have preferentially circulated within areas associated with relatively higher mean annual temperature and pig population density. Our results highlight the importance of continuous surveillance of GETV among livestock in southern Chinese regions associated with relatively high temperatures. IMPORTANCE Although livestock is known to be the primary reservoir of Getah virus (GETV) in Asian countries, where identification is largely based on serology, the evolutionary history and spatial epidemiology of GETV in these regions remain largely unknown. Through our sequencing efforts, we provided robust support for lineage delineation of GETV and identified three major lineages that are responsible for the current epidemic in livestock in China. We further analyzed genomic and epidemiological data to reconstruct the recent demographic and dispersal history of GETV in domestic animals in China and to explore the impact of environmental factors on its genetic diversity and its diffusion. Notably, except for livestock meat consumption, other pig-related factors such as the evolution of live pig transport and pork production do not show a significant association with the evolution of viral genetic diversity, pointing out that further studies should investigate the potential contribution of other host species to the GETV outbreak. Our analysis of GETV demonstrates the need for wider animal species surveillance and provides a baseline for future studies of the molecular epidemiology and early warning of emerging arboviruses in China.
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Affiliation(s)
- Jin Zhao
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
| | - Simon Dellicour
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Ziqing Yan
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
| | - Michael Veit
- Institute for Virology, Center for Infection Medicine, Veterinary Faculty, Free University Berlin, Berlin, Germany
| | - Mandev S. Gill
- Department of Statistics, University of Georgia, Athens, Georgia, USA
- Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
| | - Wan-Ting He
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Xiaofeng Zhai
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
| | - Xiang Ji
- Department of Mathematics, School of Science & Engineering, Tulane University, New Orleans, Louisiana, USA
| | - Marc A. Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Shuo Su
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
- Sanya Institute of Nanjing Agricultural University, Sanya, China
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Prabhakar PK, Khurana N, Vyas M, Sharma V, Batiha GES, Kaur H, Singh J, Kumar D, Sharma N, Kaushik A, Kumar R. Aspects of Nanotechnology for COVID-19 Vaccine Development and Its Delivery Applications. Pharmaceutics 2023; 15:pharmaceutics15020451. [PMID: 36839773 PMCID: PMC9960567 DOI: 10.3390/pharmaceutics15020451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/21/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
Coronavirus, a causative agent of the common cold to a much more complicated disease such as "severe acute respiratory syndrome (SARS-CoV-2), Middle East Respiratory Syndrome (MERS-CoV-2), and Coronavirus Disease 2019 (COVID-19)", is a member of the coronaviridae family and contains a positive-sense single-stranded RNA of 26-32 kilobase pairs. COVID-19 has shown very high mortality and morbidity and imparted a significantly impacted socioeconomic status. There are many variants of SARS-CoV-2 that have originated from the mutation of the genetic material of the original coronavirus. This has raised the demand for efficient treatment/therapy to manage newly emerged SARS-CoV-2 infections successfully. However, different types of vaccines have been developed and administered to patients but need more attention because COVID-19 is not under complete control. In this article, currently developed nanotechnology-based vaccines are explored, such as inactivated virus vaccines, mRNA-based vaccines, DNA-based vaccines, S-protein-based vaccines, virus-vectored vaccines, etc. One of the important aspects of vaccines is their administration inside the host body wherein nanotechnology can play a very crucial role. Currently, more than 26 nanotechnology-based COVID-19 vaccine candidates are in various phases of clinical trials. Nanotechnology is one of the growing fields in drug discovery and drug delivery that can also be used for the tackling of coronavirus. Nanotechnology can be used in various ways to design and develop tools and strategies for detection, diagnosis, and therapeutic and vaccine development to protect against COVID-19. The design of instruments for speedy, precise, and sensitive diagnosis, the fabrication of potent sanitizers, the delivery of extracellular antigenic components or mRNA-based vaccines into human tissues, and the administration of antiretroviral medicines into the organism are nanotechnology-based strategies for COVID-19 management. Herein, we discuss the application of nanotechnology in COVID-19 vaccine development and the challenges and opportunities in this approach.
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Affiliation(s)
| | - Navneet Khurana
- School of Pharmaceutical Sciences, Lovely Professional University, Punjab 144411, India
- Correspondence: (N.K.); (R.K.)
| | - Manish Vyas
- School of Pharmaceutical Sciences, Lovely Professional University, Punjab 144411, India
| | - Vikas Sharma
- School of Pharmaceutical Sciences, Lovely Professional University, Punjab 144411, India
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour 22511, Egypt
| | - Harpreet Kaur
- School of Chemical Engineering and Physical Sciences, Lovely Professional University, Punjab 144411, India
| | - Jashanpreet Singh
- School of Chemical Engineering and Physical Sciences, Lovely Professional University, Punjab 144411, India
| | - Deepak Kumar
- School of Chemical Engineering and Physical Sciences, Lovely Professional University, Punjab 144411, India
| | - Neha Sharma
- School of Pharmaceutical Sciences, Lovely Professional University, Punjab 144411, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA
- School of Engineering, University of Petroleum and Energy Studies (UPES), Uttarakhand 248007, India
| | - Raj Kumar
- Department of Pharmaceutical Sciences, University of Nebraska Medical Sciences, Omaha, NE 68198, USA
- Correspondence: (N.K.); (R.K.)
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Samper-Pardo M, Oliván-Blázquez B, Magallón-Botaya R, Méndez-López F, Bartolomé-Moreno C, León-Herrera S. The emotional well-being of Long COVID patients in relation to their symptoms, social support and stigmatization in social and health services: a qualitative study. BMC Psychiatry 2023; 23:68. [PMID: 36698111 PMCID: PMC9875186 DOI: 10.1186/s12888-022-04497-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/26/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Long COVID patients have experienced a decline in their quality of life due to, in part but not wholly, its negative emotional impact. Some of the most prevalent mental health symptoms presented by long COVID patients are anxiety, depression, and sleep disorders. As such, the need has arisen to analyze the personal experiences of these patients to understand how they are managing their daily lives while dealing with the condition. The objective of this study is to increase understanding about the emotional well-being of people diagnosed with long COVID. METHODS A qualitative design was created and carried out using 35 patients, with 17 participants being interviewed individually and 18 of them taking part in two focus groups. The participating patients were recruited in November and December 2021 from Primary Health Care (PHC) centers in the city of Zaragoza (Northern Spain) and from the Association of Long COVID Patients in Aragon. The study topics were emotional well-being, social support networks, and experience of discrimination. All an inductive thematic content analyses were performed iteratively using NVivo software. RESULTS The Long COVID patients identified low levels of self-perceived well-being due to their persistent symptoms, as well as limitations in their daily lives that had been persistent for many months. Suicidal thoughts were also mentioned by several patients. They referred to anguish and anxiety about the future as well as a fear of reinfection or relapse and returning to work. Many of the participants reported that they have sought the help of a mental health professional. Most participants identified discriminatory situations in health care. CONCLUSIONS It is necessary to continue researching the impact that Long COVID has had on mental health, as well as to provide Primary Health Care professionals with evidence that can guide the emotional treatment of these patients.
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Affiliation(s)
- M. Samper-Pardo
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
| | - B. Oliván-Blázquez
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain ,grid.11205.370000 0001 2152 8769Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain ,Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
| | - R. Magallón-Botaya
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain ,Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain ,grid.11205.370000 0001 2152 8769Department of Medicine, University of Zaragoza, Zaragoza, Spain
| | - F. Méndez-López
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
| | - C. Bartolomé-Moreno
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain ,Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain ,grid.11205.370000 0001 2152 8769Department of Medicine, University of Zaragoza, Zaragoza, Spain
| | - S. León-Herrera
- grid.11205.370000 0001 2152 8769Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
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Kovalenko A, Ryabchevskaya E, Evtushenko E, Nikitin N, Karpova O. Recombinant Protein Vaccines against Human Betacoronaviruses: Strategies, Approaches and Progress. Int J Mol Sci 2023; 24:1701. [PMID: 36675218 PMCID: PMC9863728 DOI: 10.3390/ijms24021701] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Betacoronaviruses have already troubled humanity more than once. In 2002-2003 and 2012, the SARS-CoV and MERS-CoV, respectively, caused outbreaks of respiratory syndromes with a fatal outcome. The spread of the SARS-CoV-2 coronavirus has become a pandemic. These three coronaviruses belong to the genus Betacoronavirus and have a zoonotic origin. The emergence of new coronavirus infections in the future cannot be ruled out, and vaccination is the main way to prevent the spread of the infection. Previous experience in the development of vaccines against SARS and MERS has helped to develop a number of vaccines against SARS-CoV-2 in a fairly short time. Among them, there are quite a few recombinant protein vaccines, which seem to be very promising in terms of safety, minimization of side effects, storage and transportation conditions. The problem of developing a universal betacoronavirus vaccine is also still relevant. Here, we summarize the information on the designing of vaccines based on recombinant proteins against highly pathogenic human betacoronaviruses SARS-CoV, MERS-CoV and SARS-CoV-2.
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Affiliation(s)
| | | | | | - Nikolai Nikitin
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia
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Hannum ME, Koch RJ, Ramirez VA, Marks SS, Toskala AK, Herriman RD, Lin C, Joseph PV, Reed DR. Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis. Chem Senses 2023; 48:bjad043. [PMID: 38100383 PMCID: PMC11320609 DOI: 10.1093/chemse/bjad043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2023] Open
Abstract
Chemosensory scientists have been skeptical that reports of COVID-19 taste loss are genuine, in part because before COVID-19 taste loss was rare and often confused with smell loss. Therefore, to establish the predicted prevalence rate of taste loss in COVID-19 patients, we conducted a systematic review and meta-analysis of 376 papers published in 2020-2021, with 235 meeting all inclusion criteria. Drawing on previous studies and guided by early meta-analyses, we explored how methodological differences (direct vs. self-report measures) may affect these estimates. We hypothesized that direct measures of taste are at least as sensitive as those obtained by self-report and that the preponderance of evidence confirms taste loss is a symptom of COVID-19. The meta-analysis showed that, among 138,015 COVID-19-positive patients, 36.62% reported taste dysfunction (95% confidence interval: 33.02%-40.39%), and the prevalence estimates were slightly but not significantly higher from studies using direct (n = 15) versus self-report (n = 220) methodologies (Q = 1.73, df = 1, P = 0.1889). Generally, males reported lower rates of taste loss than did females, and taste loss was highest among middle-aged adults. Thus, taste loss is likely a bona fide symptom of COVID-19, meriting further research into the most appropriate direct methods to measure it and its underlying mechanisms.
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Affiliation(s)
- Mackenzie E Hannum
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Riley J Koch
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Vicente A Ramirez
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
- Department of Public Health, University of California Merced,
Merced, CA 95348, USA
| | - Sarah S Marks
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Aurora K Toskala
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Riley D Herriman
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Cailu Lin
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
| | - Paule V Joseph
- Division of Intramural Research, National Institute of Nursing Research,
National Institutes of Health, Bethesda, MD,
USA
- Division of Intramural Research, National Institute of Alcohol Abuse and
Alcoholism, National Institutes of Health, Bethesda,
MD, USA
| | - Danielle R Reed
- Monell Chemical Senses Center, 3500 Market St,
Philadelphia PA 19104, USA
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Meta-MUMS COVID-19 web server: an online daily monitoring server for comparative and cumulative epidemiological analysis. ZEITSCHRIFT FUR GESUNDHEITSWISSENSCHAFTEN = JOURNAL OF PUBLIC HEALTH 2023; 31:37-39. [PMID: 33457187 PMCID: PMC7793385 DOI: 10.1007/s10389-020-01433-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 11/20/2020] [Indexed: 01/12/2023]
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Chaudhary KR, Kujur S, Singh K. Recent advances of nanotechnology in COVID 19: A critical review and future perspective. OPENNANO 2023; 9. [PMCID: PMC9749399 DOI: 10.1016/j.onano.2022.100118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The global anxiety and economic crisis causes the deadly pandemic coronavirus disease of 2019 (COVID 19) affect millions of people right now. Subsequently, this life threatened viral disease is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, morbidity and mortality of infected patients are due to cytokines storm syndrome associated with lung injury and multiorgan failure caused by COVID 19. Thereafter, several methodological advances have been approved by WHO and US-FDA for the detection, diagnosis and control of this wide spreadable communicable disease but still facing multi-challenges to control. Herein, we majorly emphasize the current trends and future perspectives of nano-medicinal based approaches for the delivery of anti-COVID 19 therapeutic moieties. Interestingly, Nanoparticles (NPs) loaded with drug molecules or vaccines resemble morphological features of SARS-CoV-2 in their size (60–140 nm) and shape (circular or spherical) that particularly mimics the virus facilitating strong interaction between them. Indeed, the delivery of anti-COVID 19 cargos via a nanoparticle such as Lipidic nanoparticles, Polymeric nanoparticles, Metallic nanoparticles, and Multi-functionalized nanoparticles to overcome the drawbacks of conventional approaches, specifying the site-specific targeting with reduced drug loading and toxicities, exhibit their immense potential. Additionally, nano-technological based drug delivery with their peculiar characteristics of having low immunogenicity, tunable drug release, multidrug delivery, higher selectivity and specificity, higher efficacy and tolerability switch on the novel pathway for the prevention and treatment of COVID 19.
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Affiliation(s)
- Kabi Raj Chaudhary
- Department of Pharmaceutics, ISF College of Pharmacy, Ghal Kalan, Ferozpur G.T Road, Moga, Punjab 142001, India,Department of Research and Development, United Biotech (P) Ltd. Bagbania, Nalagarh, Solan, Himachal Pradesh, India,Corresponding author at: Department of Pharmaceutics, ISF College of Pharmacy, Ghal Kalan, Ferozpur G.T Road, MOGA, Punjab 142001, India
| | - Sima Kujur
- Department of Pharmaceutics, ISF College of Pharmacy, Ghal Kalan, Ferozpur G.T Road, Moga, Punjab 142001, India
| | - Karanvir Singh
- Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Ghal Kalan, Ferozpur G.T Road, Moga, Punjab 142001, India,Department of Research and Development, United Biotech (P) Ltd. Bagbania, Nalagarh, Solan, Himachal Pradesh, India
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Tuychiev LN, Akhmedova MD, Tadjieva NU, Anvarov JA, Eraliev UE, Husanov AM, Nazirov SA. A clinical case of coinfection of COVID-19 and tropical malaria. JOURNAL INFECTOLOGY 2023. [DOI: 10.22625/2072-6732-2022-14-5-85-89] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The global outbreak of the new coronavirus infection COVID-19 is still ongoing, leading to coinfections such as malaria and COVID-19 and others. As evidenced by the increase in various reports of coinfections. In recent years, Uzbekistan has achieved epidemiological stability for malaria and in 2018 received an official World Health Organization certificate confirming the country’s “malaria-free” status. At the present stage during the COVID-19 pandemic, imported malaria from abroad is relevant for our republic and, therefore, there is a constant danger of renewed transmission from imported cases. In this article presented the clinical case of coinfection of COVID-19 and malaria in a patient. From the epidemiological data, the patient was a citizen of Cameroon. During treatment of coronavirus infection, the patient noted intermittent chills all over the body and sweating, clinical symptoms of tropical malaria began to appear. Microscopy of a thick drop and a thin blood smear confirmed the presence of Pl. falciparum. The patient was prescribed antimalarial therapy with mefloquine, resulting in clinical recovery.
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Affiliation(s)
| | | | - N. U. Tadjieva
- Tashkent Medical Academy; Republican Specialized Scientific-Practical Medical Center for Epidemiology, Microbiology, Infectious and Parasitic Diseases
| | | | | | - A. M. Husanov
- Republican Specialized Zangiota Infectious Diseases Clinic No.1
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Velázquez-Vázquez MG, Alberti-Minutti P, Campos-Aguirre E, Benítez-Arvizu G. [Seroprevalence of anti-SARS-CoV-2 IgG antibodies in resident physicians]. REVISTA MEDICA DEL INSTITUTO MEXICANO DEL SEGURO SOCIAL 2023; 61:S28-S32. [PMID: 36378067 PMCID: PMC10395998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/27/2022] [Indexed: 06/16/2023]
Abstract
Background COVID-19 pandemic spread around the world swiftly; there are several diagnostic strategies available. Health workers, especially medical residents (MR), are a high-risk population for acquiring this infection. Objective To estimate the seroprevalence of antibodies against SARS-CoV-2 and the associated factors in MR of a third level hospital. Material and methods 330 MR from different specialties were evaluated with a questionnaire and collection of blood samples for analysis by microparticle chemiluminescent immunoassay. The prevalence of previous infection was defined by seropositivity of these antibodies. Descriptive statistics and concordance between the RT-PCR tests and the presence of anti-SARS-CoV-2 IgG were used. Results Of 330 MR, 84.5% actively participated in COVID patient care. One out of 3 reported symptoms of COVID-19; in 67.6% the possible site of infection was a hospital setting not associated with the COVID area. Out of 71 symptomatic subjects, 61.9% underwent RT-PCR against SARS-CoV-2; 20 were positive. In 15.8% of the total, the presence of anti-SARS-CoV-2 IgG antibodies was determined. Only 1 out of 3 subjects with a positive PCR had antibodies, and 11.3% of the cases, even with a positive RT-PCR test, did not develop humoral immunity. Conclusions The seroprevalence was lower than that reported at the national level, potentially due to protection measures. The main risk factor was contact with the virus in areas of the hospital not related to COVID, making it imperative to reinforce security protocols in those spaces.
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Affiliation(s)
- María Guadalupe Velázquez-Vázquez
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Servicio de Medicina Interna. Ciudad de México, México Instituto Mexicano del Seguro SocialMéxico
| | - Paolo Alberti-Minutti
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Servicio de Medicina Interna. Ciudad de México, México Instituto Mexicano del Seguro SocialMéxico
| | - Esmeralda Campos-Aguirre
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, México Instituto Mexicano del Seguro SocialMéxico
| | - Gamaliel Benítez-Arvizu
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, México Instituto Mexicano del Seguro SocialMéxico
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Campos-Aguirre E, Martínez-Álvarez JC, Arrazola-García MA, Arroyo-García OD, Delgado-Colín MG, Chávez-Durán MÁ, Galván-Bobadilla AI, Benítez-Arvizu G. [PCR for COVID in the transplant protocol]. REVISTA MEDICA DEL INSTITUTO MEXICANO DEL SEGURO SOCIAL 2023; 61:S33-S36. [PMID: 36378084 PMCID: PMC10395893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/25/2022] [Indexed: 06/16/2023]
Abstract
Background Since the beginning of the SARS-CoV-2 pandemic, identifying the COVID-19 pathophysiology not only has been addressed to applying diagnostic tests or preventing through vaccines, but also to the timely detection, especially of patients in risk groups such as those in transplants areas (renal, hematology, etcetera). In the case of these patients, using RT-PCR tests avoids putting them at risk by subjecting them to states of immunosuppression that could aggravate their situation if they were faced with an onset of a COVID-19 infection. Objective To present the results of patients of a transplant unit tested for SARS-CoV-2. Material and methods Descriptive, observational, cross-sectional, and retrolective study. Data of results of RT-PCR tests of patients who underwent transplantation from June 2021 to April 2022 in a third level hospital were collected. Results 755 tests were done to patients who underwent transplantation. 384 (50.8%) were women. Out of all patients, only 73 (9.7%) were positive to SARS-CoV-2. Conclusions Implementing RT-PCR tests as a transplant protocol to detect SARS-CoV-2 prevents fatal complications due to COVID infection to donors and receptors.
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Affiliation(s)
- Esmeralda Campos-Aguirre
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Julio César Martínez-Álvarez
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - María Araceli Arrazola-García
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Oscar David Arroyo-García
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - María Guadalupe Delgado-Colín
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Miguel Ángel Chávez-Durán
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Alexis Ignacio Galván-Bobadilla
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Gamaliel Benítez-Arvizu
- Instituto Mexicano del Seguro Social, Centro Médico Nacional Siglo XXI, Hospital de Especialidades “Dr. Bernardo Sepúlveda Gutiérrez”, Unidad Complementaria Banco de Sangre. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
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Numerical simulations on scale-free and random networks for the spread of COVID-19 in Pakistan ☆. ALEXANDRIA ENGINEERING JOURNAL 2023; 62:75-83. [PMCID: PMC9335154 DOI: 10.1016/j.aej.2022.07.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/07/2022] [Accepted: 07/18/2022] [Indexed: 05/29/2023]
Abstract
Epidemiology is the study of how and why an infectious disease occurs in a group of people. Several epidemiological models have been developed to get information on the spread of a disease in society. That information is used to plan strategies to prevent illness and manage patients. But, most of these models consider only random diffusion of the disease and hence ignore the number of interactions among people. To take into account the interactions among individuals, the network approach is becoming increasingly popular. It is novel to consider the dynamics of infectious disease using various networks rather than classical differential equation models. In this paper, we numerically simulate the Susceptible-Infected-Recoverd (SIR) model on Barabási-Albert network and Erdös-Rényi network to analyze the spread of COVID-19 in Pakistan so that we know the severity of the disease. We also show how a situation becomes alarming if hubs in a network get infected.
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Samper-Pardo M, León-Herrera S, Oliván-Blázquez B, Gascón-Santos S, Sánchez-Recio R. Clinical characterization and factors associated with quality of life in Long COVID patients: Secondary data analysis from a randomized clinical trial. PLoS One 2023; 18:e0278728. [PMID: 37192203 DOI: 10.1371/journal.pone.0278728] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/29/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Long COVID patients suffer a negative impact on their quality of life, as well as their functioning, productivity or socialization. There is a need to better understand the individual experience and circumstances surrounding these patients. OBJECTIVE To characterize clinical picture of Long COVID patients and to identify factors associated with quality of life. METHODS A secondary data analysis from a randomized clinical trial (RCT) was carried out with 100 Long COVID patients treated by Primary Health Care and residents in the territory of Aragon (northeast of Spain). The main variable of the study was quality of life, evaluated using the SF-36 Questionnaire, in relation to socio-demographic and clinical variables. In addition, ten validated scales were used that contemplated their cognitive, affective, functional and social status, as well as personal constructs. Correlation statistics and linear regression model were calculated. RESULTS Long COVID patients suffer a decrease in their levels of physical and mental health. On the one hand, the higher number of persistent symptoms (b = -0.900, p = 0.008), worse physical functioning (b = 1.587, p = 0.002) and sleep quality (b = -0.538, p = 0.035) are predictors of worse quality of life, physical subscale. On the other hand, higher educational level (b = 13.167, p = 0.017), lower number of persistent symptoms (b = -0.621, p = 0.057) and higher affective affectation (b = -1.402, p<0.001) are predictors of worse quality of life, mental subscale. CONCLUSION It is necessary to design rehabilitation programs that consider both the physical and mental health of these patients, thus obtaining an improvement in their quality of life.
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Affiliation(s)
| | - Sandra León-Herrera
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
| | - Bárbara Oliván-Blázquez
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
| | - Santiago Gascón-Santos
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
| | - Raquel Sánchez-Recio
- Institute for Health Research Aragon (IISAragon), Zaragoza, Spain
- Department of Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain
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Quantitative evaluation of the role of Fangcang shelter hospitals in the control of Omicron transmission: A case study of the outbreak in Shanghai, China in 2022. One Health 2022; 16:100475. [PMID: 36593980 PMCID: PMC9803829 DOI: 10.1016/j.onehlt.2022.100475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/06/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022] Open
Abstract
Since Omicron began to spread in China, Shanghai has become one of the cities with more severe outbreaks. Under the comprehensive consideration of the vaccine coverage rate, the number of Fangcang shelter hospital beds and the number of designated hospital beds in Shanghai, this paper established a deterministic compartmental model and used the Nelder-Mead Simplex Direct Search Algorithm and chi-square values to estimate the model parameters. we calculate ℛ0 = 3.6429 when the number of beds in the Fangcang shelter hospital is relatively tight in the second stage and ℛ0 = 0.4974 in the fifth stage when there are enough beds in both Fangcang shelter hospital and designated hospital. Then we perform a sensitivity analysis on ℛ0 by using perturbation of fixed point estimation of model parameters in the fifth stage, and obtain three parameters that are more sensitive to ℛ0, which are transmission rate (β 1d ), proportion of the infectious (η) and the hospitalization rate of asymptomatic infected cases (δ 1). Through simulation, we obtain that if the hospitalization rate of asymptomatic infections δ 2 > 0.9373 or the transmission rate β 1b < 0.0467, the second stage of Omicron transmission in Shanghai can be well controlled. Finally, we find the measure that converting the National Convention and Exhibition Center (NECC) into a Fangcang shelter hospital has played an important role in curbing the epidemic. Whether this temporary Fangcang shelter hospital is not built or delayed, the cumulative number of confirmed cases will both exceed 100,000, and the cumulative asymptomatic infections will both exceed 1 million. In addition, for a city of 10 million people, we obtain that if a permanent Fangcang shelter hospital with 17,784 beds is built ahead of epidemic, there will be no shortage of beds during the outbreak of Omicron. Our findings enrich the content of the impact of Fangcang shelter hospital beds on the spread of Omicron and confirm the correct policy adopted by the Chinese government.
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Abstract
The outbreak and spreading of the COVID-19 pandemic have had a significant impact on transportation system. By analyzing the impact of the pandemic on the transportation system, the impact of the pandemic on the social economy can be reflected to a certain extent, and the effect of anti-pandemic policy implementation can also be evaluated. In addition, the analysis results are expected to provide support for policy optimization. Currently, most of the relevant studies analyze the impact of the pandemic on the overall transportation system from the macro perspective, while few studies quantitatively analyze the impact of the pandemic on individual spatiotemporal travel behavior. Based on the license plate recognition (LPR) data, this paper analyzes the spatiotemporal travel patterns of travelers in each stage of the pandemic progress, quantifies the change of travelers' spatiotemporal behaviors, and analyzes the adjustment of travelers' behaviors under the influence of the pandemic. There are three different behavior adjustment strategies under the influence of the pandemic, and the behavior adjustment is related to the individual's past travel habits. The paper quantitatively assesses the impact of the COVID-19 pandemic on individual travel behavior. And the method proposed in this paper can be used to quantitatively assess the impact of any long-term emergency on individual micro travel behavior.
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Ahmar Rauf M, Nisar M, Abdelhady H, Gavande N, Iyer AK. Nanomedicine approaches to reduce cytokine storms in severe infections. Drug Discov Today 2022; 27:103355. [PMID: 36099962 PMCID: PMC9465473 DOI: 10.1016/j.drudis.2022.103355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/16/2022] [Accepted: 09/07/2022] [Indexed: 11/22/2022]
Abstract
During a cytokine storm, dysregulated proinflammatory cytokines are produced in excess. Cytokine storms occur in multiple infectious diseases, including Coronavirus 2019 (COVID-19). Thus, eliminating cytokine storms to enhance patient outcomes is crucial. Given the numerous cytokines involved, individual therapies might have little effect. Traditional cytokines might be less effective than medicines that target malfunctioning macrophages. Nanomedicine-based therapeutics reduce cytokine production in animal models of proinflammatory illnesses. The unique physicochemical features and controlled nano-bio interactions of nanotechnology show promise in healthcare and could be used to treat several stages of this virus-induced sickness, including cytokine storm mortality. Macrophage-oriented nanomedicines can minimize cytokine storms and associated harmful effects, enhancing patient outcomes. Here, we also discuss engineering possibilities for enhancing macrophage efficacy with nanodrug carriers.
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Affiliation(s)
- Mohd Ahmar Rauf
- Department of Surgery, Miller School of Medicine, Sylvester Comprehensive Cancer Centre, University of Miami, FL 33136, USA; Department of Pharmaceutical Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Maryam Nisar
- Department of Biochemistry, Aligarh Muslim University, Aligarh, UP 202002, India
| | - Hosam Abdelhady
- Department of Physiology & Pharmacology, College of Osteopathic Medicine, Sam Houston State University, Conroe, TX 77341, USA
| | - Navnath Gavande
- Department of Pharmaceutical Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Arun K Iyer
- Department of Pharmaceutical Sciences, Wayne State University, Detroit, MI 48201, USA.
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Karim R, Akter N. Effects of climate variables on the COVID-19 mortality in Bangladesh. THEORETICAL AND APPLIED CLIMATOLOGY 2022; 150:1463-1475. [PMID: 36276261 PMCID: PMC9579573 DOI: 10.1007/s00704-022-04211-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
Infectious diseases such as severe acute respiratory syndrome (SARS) and influenza are influenced by weather conditions. Climate variables, for example, temperature and humidity, are two important factors in the severity of COVID-19's impact on the human respiratory system. This study aims to examine the effects of these climate variables on COVID-19 mortality. The data are collected from March 08, 2020, to April 30, 2022. The parametric regression under GAM and semiparametric regression under GAMLSS frameworks are used to analyze the daily number of death due to COVID-19. Our findings revealed that temperature and relative humidity are commencing to daily deaths due to COVID-19. A positive association with COVID-19 daily death counts was observed for temperature range and a positive association for humidity. In addition, one-unit increase in daily temperature range was only associated with a 1.08% (95% CI: 1.06%, 1.10%), and humidity range was only associated with a 1.03% (95% CI: 1.02%, 1.03%) decrease in COVID-19 deaths. A flexible regression model within the framework of Generalized Additive Models for Location Scale and Shape is used to analyze the data by adjusting the time effect. We used two adaptable predictor models, such as (i) the Fractional polynomial model and (ii) the B-spline smoothing model, to estimate the systematic component of the GAMLSS model. According to both models, high humidity and temperature significantly (and drastically) lessened the severity of COVID-19 death. The findings on the epidemiological trends of the COVID-19 pandemic and weather changes may interest policymakers and health officials.
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Affiliation(s)
- Rezaul Karim
- Department of Statistics, Jahangirnagar University, Savar Union, Bangladesh
| | - Nazmin Akter
- Department of Statistics, Jahangirnagar University, Savar Union, Bangladesh
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Liu P, Zheng Y. Temporal and spatial evolution of the distribution related to the number of COVID-19 pandemic. PHYSICA A 2022; 603:127837. [PMID: 35783919 PMCID: PMC9233890 DOI: 10.1016/j.physa.2022.127837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 06/09/2022] [Indexed: 05/04/2023]
Abstract
This work systematically conducts a data analysis based on the numbers of both cumulative and daily confirmed COVID-19 cases and deaths in a time span through April 2020 to June 2022 for over 200 countries around the world. Such research feature aims to reveal the temporal and spatial evolution of the country-level distribution observed in COVID-19 pandemic, and obtains some interesting results as follows. (1) The distributions of the numbers for cumulative confirmed cases and deaths obey power-law in early stages of COVID-19 and stretched exponential function in subsequent course. (2) The distributions of the numbers for daily confirmed cases and deaths obey power-law in early and late stages of COVID-19 and stretched exponential function in middle stages. The crossover region between power-law and stretched exponential behavior seems to depend on the evolution of "infection" event and "death" event. Such observation implies a kind of important symmetry related to the dynamics process of COVID-19 spreading. (3) The distributions of the normalized numbers for each metric show a temporal scaling behavior in 2-year period, and are well described by stretched exponential function. The observation of power-law and stretched exponential behavior in such country-level distributions suggests underlying intrinsic dynamics of a virus spreading process in human interconnected society. And thus it is important for understanding and mathematically modeling the COVID-19 pandemic.
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Affiliation(s)
- Peng Liu
- School of Information, Xi'an University of Finance and Economics, Xi'an 710100, Shaanxi, PR China
| | - Yanyan Zheng
- School of Management, Xi'an Polytechnic University, Xi'an 710048, Shaanxi, PR China
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