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Yadav AK, Basavegowda N, Shirin S, Raju S, Sekar R, Somu P, Uthappa UT, Abdi G. Emerging Trends of Gold Nanostructures for Point-of-Care Biosensor-Based Detection of COVID-19. Mol Biotechnol 2024:10.1007/s12033-024-01157-y. [PMID: 38703305 DOI: 10.1007/s12033-024-01157-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/26/2024] [Indexed: 05/06/2024]
Abstract
In 2019, a worldwide pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged. SARS-CoV-2 is the deadly microorganism responsible for coronavirus disease 2019 (COVID-19), which has caused millions of deaths and irreversible health problems worldwide. To restrict the spread of SARS-CoV-2, accurate detection of COVID-19 is essential for the identification and control of infected cases. Although recent detection technologies such as the real-time polymerase chain reaction delivers an accurate diagnosis of SARS-CoV-2, they require a long processing duration, expensive equipment, and highly skilled personnel. Therefore, a rapid diagnosis with accurate results is indispensable to offer effective disease suppression. Nanotechnology is the backbone of current science and technology developments including nanoparticles (NPs) that can biomimic the corona and develop deep interaction with its proteins because of their identical structures on the nanoscale. Various NPs have been extensively applied in numerous medical applications, including implants, biosensors, drug delivery, and bioimaging. Among them, point-of-care biosensors mediated with gold nanoparticles (GNPSs) have received great attention due to their accurate sensing characteristics, which are widely used in the detection of amino acids, enzymes, DNA, and RNA in samples. GNPS have reconstructed the biomedical application of biosensors because of its outstanding physicochemical characteristics. This review provides an overview of emerging trends in GNP-mediated point-of-care biosensor strategies for diagnosing various mutated forms of human coronaviruses that incorporate different transducers and biomarkers. The review also specifically highlights trends in gold nanobiosensors for coronavirus detection, ranging from the initial COVID-19 outbreak to its subsequent evolution into a pandemic.
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Affiliation(s)
- Akhilesh Kumar Yadav
- Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, 413310, Taiwan
- Department of Mining Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India
| | - Nagaraj Basavegowda
- Department of Biotechnology, Yeungnam University, Gyeongsan, 38451, Republic of Korea
| | - Saba Shirin
- Department of Mining Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India
- Department of Environmental Science, School of Vocational Studies and Applied Sciences, Gautam Buddha University, Greater Noida, 201312, India
| | - Shiji Raju
- Bioengineering and Nano Medicine Group, Faculty of Medicine and Health Technology, Tampere University, 33720, Tampere, Finland
| | - Rajkumar Sekar
- Department of Chemistry, Karpaga Vinayaga College of Engineering and Technology, GST Road, Chinna Kolambakkam, Chengalpattu, Tamil Nadu, 603308, India
| | - Prathap Somu
- Department of Biotechnology and Chemical Engineering, School of Civil, Biotechnology and Chemical Engineering, Manipal University Jaipur, Dehmi Kalan, Off. Jaipur-Ajmeer Expressway, Jaipur, Rajasthan, 303007, India.
| | - U T Uthappa
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518055, China
- Department of Bioengineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India
| | - Gholamreza Abdi
- Department of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr, 75169, Iran.
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Shafie MH, Antony Dass M, Ahmad Shaberi HS, Zafarina Z. Screening and confirmation tests for SARS-CoV-2: benefits and drawbacks. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2023; 12:6. [PMID: 36647397 PMCID: PMC9833029 DOI: 10.1186/s43088-023-00342-3] [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: 08/16/2022] [Accepted: 01/03/2023] [Indexed: 01/13/2023] Open
Abstract
Background Coronavirus disease 2019 is a pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that emerged in late 2019 and has activated an ongoing international public health emergency. SARS-CoV-2 was discovered in Wuhan, China, in December 2019 and rapidly spread to other cities and countries. Currently, SARS-CoV-2 diagnostic tests have relied heavily on detecting viral genes, antigens, and human antibodies. Hence, this review discusses and analyses the existing screening and confirmation tests for SARS-CoV-2, including the real-time reverse transcriptase polymerase chain reaction (RT-PCR), lateral flow immunoassay (LFIA), and enzyme-linked immunosorbent assay (ELISA). Main body The illustrations of each testing were presented to provide the readers with an understanding of the scientific principles behind the testing methods. The comparison was made by highlighting the advantages and disadvantages of each testing. ELISA is ideal for performing the maximum population screening to determine immunological capacity, although its inability to provide reliable results on the status of the infection. Recently, LFIA has been approved as a quicker way of determining whether a patient is infected at the analysis time without using particular instruments and non-laboratory settings. RT-PCR is the gold-standard approach in terms of sensitivity and specificity. Conclusion However, the combination of LFIA or ELISA with RT-PCR is also proposed in this review to obtain an adequate level of sensitivity and specificity. Graphic Abstract
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Affiliation(s)
- Muhammad Hakimin Shafie
- grid.11875.3a0000 0001 2294 3534Analytical Biochemistry Research Centre (ABrC), Bangunan Inkubator Inovasi Universiti (I2U), Kampus Sains@usm, Universiti Sains Malaysia, Lebuh Bukit Jambul, 11900 Bayan Lepas, Penang Malaysia
| | - Marie Antony Dass
- grid.11875.3a0000 0001 2294 3534Analytical Biochemistry Research Centre (ABrC), Bangunan Inkubator Inovasi Universiti (I2U), Kampus Sains@usm, Universiti Sains Malaysia, Lebuh Bukit Jambul, 11900 Bayan Lepas, Penang Malaysia ,grid.1021.20000 0001 0526 7079School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Geelong, 3216 Australia
| | - Hazlam Shamin Ahmad Shaberi
- grid.11875.3a0000 0001 2294 3534Analytical Biochemistry Research Centre (ABrC), Bangunan Inkubator Inovasi Universiti (I2U), Kampus Sains@usm, Universiti Sains Malaysia, Lebuh Bukit Jambul, 11900 Bayan Lepas, Penang Malaysia ,grid.7445.20000 0001 2113 8111Department of Life Sciences, Imperial College London, Exhibition Rd, London, SW7 2AZ UK
| | - Zainuddin Zafarina
- grid.11875.3a0000 0001 2294 3534Analytical Biochemistry Research Centre (ABrC), Bangunan Inkubator Inovasi Universiti (I2U), Kampus Sains@usm, Universiti Sains Malaysia, Lebuh Bukit Jambul, 11900 Bayan Lepas, Penang Malaysia
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Leveau CM, Aouissi HA, Kebaili FK. Spatial diffusion of COVID-19 in Algeria during the third wave. GEOJOURNAL 2023; 88:1175-1180. [PMID: 35261429 PMCID: PMC8893245 DOI: 10.1007/s10708-022-10608-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/09/2022] [Indexed: 05/09/2023]
Abstract
The differential geographic impact of the third wave of COVID-19 is unknown in Algeria. We thus analyze the spatiotemporal variations of cases and deaths of COVID-19 in Algeria, between January and mid-August 2021. Cases and deaths due to COVID-19 were aggregated at the wilaya (province) level. The space-time permutation scan statistic was applied retrospectively to identify spatial-temporal clusters of COVID-19 cases and deaths. We detected 14 spatio-temporal clusters of COVID-19 cases, with only one high risk cluster. Among the 13 low risk clusters, 7 clusters emerged before the start of the third wave and were mostly located in wilayas with lower population density compared to the clusters that emerged during the third wave. For deaths, the largest geographic low-risk cluster emerged in southern Algeria, between April and early July 2021. Northern and coastal wilayas should be prioritized when allocating resources and implementing various quarantine and isolation measures to slow viral transmission.
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Affiliation(s)
- Carlos M. Leveau
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Instituto de Producción, Economía y Trabajo (IPET), Universidad Nacional de Lanús, Remedios de Escalada, Argentina
| | - Hani Amir Aouissi
- Scientific and Technical Research Center on Arid Regions (CRSTRA), 07000 Biskra, Algeria
| | - Feriel Kheira Kebaili
- Laboratoire de Recherche et d’étude en Aménagement et Urbanisme (LREAU), USTHB, 16000 Algiers, Algeria
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Hamimes A, Aouissi HA, Ababsa M, Lounis M, Jayarajah U, Napoli C, Kasemy ZA. The Effect of Preventive Measures and Vaccination against SARS-CoV-2 on the Infection Risk, Treatment, and Hospitalization: A Cross-Sectional Study of Algeria. Viruses 2022; 14:v14122771. [PMID: 36560775 PMCID: PMC10004600 DOI: 10.3390/v14122771] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/30/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Coronavirus disease (COVID-19) caused by the SARS-CoV-2 virus continues to afflict many countries around the world. The resurgence of COVID-19 cases and deaths in many countries shows a complacency in adhering to preventive guidelines. Consequently, vaccination continues to be a crucial intervention to reduce the effects of this pandemic. This study investigated the impact of preventive measures and COVID-19 vaccination on the infection, medication, and hospitalization. A cross-sectional online survey was conducted between 23 December 2021 and 12 March 2022 in Algeria. To evaluate the effectiveness of strategies aimed at avoiding and minimizing SARS-CoV-2 infection and severity, a questionnaire was created and validated. Descriptive statistics and logistic regression analyses were computed to identify associations between dependent and independent variables. Variables with a p-value of < 0.05 were considered statistically significant. Our results indicated that out of 2294 answers received, only 16% of our sample was vaccinated, and more than 60% did not apply preventive guidelines. As a result, 45% were infected with SARS-CoV-2, 75% took treatment (even preventive), and 9% were hospitalized. The logistic regression showed that the impact of preventive measures on the unvaccinated is statistically not significant (OR: 0.764, 95% CI = 0. 555-1.052; p = 0.09). However, this relationship changes significantly for people who are vaccinated (OR: 0.108, 95% CI = 0.047-0.248; p < 0.0001). Our results also demonstrated that the impact of protective measures on non-vaccinated individuals is statistically significant in reducing the need to receive anti-COVID-19 treatments (OR: 0.447, 95% CI = 0.321-0.623; p < 0.0001). Furthermore, the results showed that the impact of preventive measures on the non-vaccinated population is also statistically significant in reducing the risk of hospitalization (OR: 0.211, 95% CI = 0.081-0.548; p < 0.0001). Moreover, vaccinated individuals who neglect preventive measures must take the COVID-19 medication at a rate of 3.77 times (OR: 3.77) higher than those who follow preventive measures and are vaccinated. In short, our findings demonstrate the importance of combining preventive measures and vaccination in order to fight against the pandemic. Therefore, we advise the Ministry of Health and relevant authorities to put more effort into enhancing public knowledge about the COVID-19 infection and vaccination through education and awareness initiatives. Parallel to implementing vaccination as additional preventive strategy, behavioral change initiatives must be improved to encourage adherence to COVID-19 prevention recommendations.
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Affiliation(s)
- Ahmed Hamimes
- Faculty of Medicine, University of Constantine 3, Constantine 25000, Algeria
| | - Hani Amir Aouissi
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria
- Laboratoire de Recherche et d’Étude en Aménagement et Urbanisme (LREAU), Université des Sciences et la Technologie (USTHB), Algiers 16000, Algeria
- Environmental Research Center (CRE), Badji-Mokhtar Annaba University, Annaba 23000, Algeria
- Correspondence: ; Tel.: +213-662-38-71-44
| | - Mostefa Ababsa
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria
| | - Mohamed Lounis
- Department of Agro-Veterinary Science, Faculty of Natural and Life Sciences, University of Ziane Achour, Djelfa 17000, Algeria
| | - Umesh Jayarajah
- Postgraduate Institute of Medicine, University of Colombo, Colombo 00700, Sri Lanka
| | - Christian Napoli
- Department of Medical Surgical Sciences and Translational Medicine, “Sapienza” University of Rome, Via di Grottarossa 1035/1039, 00189 Rome, Italy
| | - Zaineb A. Kasemy
- Department of Public Health and Community Medicine, Faculty of Medicine, Menoufia University, Shibin El Kom 6131567, Egypt
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Khan J, Rasmi Y, Kırboğa KK, Ali A, Rudrapal M, Patekar RR. Development of gold nanoparticle-based biosensors for COVID-19 diagnosis. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022; 11:111. [PMID: 36092513 PMCID: PMC9444098 DOI: 10.1186/s43088-022-00293-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/30/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative organism of coronavirus disease 2019 (COVID-19) which poses a significant threat to public health worldwide. Though there are certain recommended drugs that can cure COVID-19, their therapeutic efficacy is limited. Therefore, the early and rapid detection without compromising the test accuracy is necessary in order to provide an appropriate treatment for the disease suppression.
Main body
Nanoparticles (NPs) can closely mimic the virus and interact strongly with its proteins due to their morphological similarities. NPs have been widely applied in a variety of medical applications, including biosensing, drug delivery, antimicrobial treatment, and imaging. Recently, NPs-based biosensors have attracted great interest for their biological activities and specific sensing properties, which allows the detection of analytes such as nucleic acids (DNA or RNA), aptamers, and proteins in clinical samples. Further, the advances of nanotechnologies have enabled the development of miniaturized detection systems for point-of-care biosensors, a new strategy for detecting human viral diseases. Among the various NPs, the specific physicochemical properties of gold NPs (AuNPs) are being widely used in the field of clinical diagnostics. As a result, several AuNP-based colorimetric detection methods have been developed.
Short conclusion
The purpose of this review is to provide an overview of the development of AuNPs-based biosensors by virtue of its powerful characteristics as a signal amplifier or enhancer that target pathogenic RNA viruses that provide a reliable and effective strategy for detecting of the existing or newly emerging SARS-CoV-2.
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Aouissi HA, Hamimes A, Ababsa M, Bianco L, Napoli C, Kebaili FK, Krauklis AE, Bouzekri H, Dhama K. Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159586. [PMID: 35954953 PMCID: PMC9368112 DOI: 10.3390/ijerph19159586] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/31/2022] [Accepted: 08/02/2022] [Indexed: 01/03/2023]
Abstract
COVID-19 causes acute respiratory illness in humans. The direct consequence of the spread of the virus is the need to find appropriate and effective solutions to reduce its spread. Similar to other countries, the pandemic has spread in Algeria, with noticeable variation in mortality and infection rates between regions. We aimed to estimate the proportion of people who died or became infected with SARS-CoV-2 in each provinces using a Bayesian approach. The estimation parameters were determined using a binomial distribution along with an a priori distribution, and the results had a high degree of accuracy. The Bayesian model was applied during the third wave (1 January–15 August 2021), in all Algerian’s provinces. For spatial analysis of duration, geographical maps were used. Our findings show that Tissemsilt, Ain Defla, Illizi, El Taref, and Ghardaia (Mean = 0.001) are the least affected provinces in terms of COVID-19 mortality. The results also indicate that Tizi Ouzou (Mean = 0.0694), Boumerdes (Mean = 0.0520), Annaba (Mean = 0.0483), Tipaza (Mean = 0.0524), and Tebessa (Mean = 0.0264) are more susceptible to infection, as they were ranked in terms of the level of corona infections among the 48 provinces of the country. Their susceptibility seems mainly due to the population density in these provinces. Additionally, it was observed that northeast Algeria, where the population is concentrated, has the highest infection rate. Factors affecting mortality due to COVID-19 do not necessarily depend on the spread of the pandemic. The proposed Bayesian model resulted in being useful for monitoring the pandemic to estimate and compare the risks between provinces. This statistical inference can provide a reasonable basis for describing future pandemics in other world geographical areas.
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Affiliation(s)
- Hani Amir Aouissi
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria
- Laboratoire de Recherche et d’Etude en Aménagement et Urbanisme (LREAU), Université des Sciences et de la Technologie (USTHB), Algiers 16000, Algeria
- Environmental Research Center (CRE), Badji-Mokhtar Annaba University, Annaba 23000, Algeria
| | - Ahmed Hamimes
- Faculty of Medicine, University of Constantine 3, Constantine 25000, Algeria
| | - Mostefa Ababsa
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria
| | - Lavinia Bianco
- Department of Public Health and Infectious Diseases, “Sapienza” University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Christian Napoli
- Department of Medical Surgical Sciences and Translational Medicine, “Sapienza” University of Rome, Via di Grottarossa 1035/1039, 00189 Rome, Italy
- Correspondence: ; Tel.: +39-0677-335-303
| | - Feriel Kheira Kebaili
- Laboratoire de Recherche et d’Etude en Aménagement et Urbanisme (LREAU), Université des Sciences et de la Technologie (USTHB), Algiers 16000, Algeria
| | - Andrey E. Krauklis
- Institute for Mechanics of Materials, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia
| | - Hafid Bouzekri
- Department of Forest Management, Higher National School of Forests, Khenchela 40000, Algeria
| | - Kuldeep Dhama
- Division of Pathology, ICAR—Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, India
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Aouissi HA, Kechebar MSA, Ababsa M, Roufayel R, Neji B, Petrisor AI, Hamimes A, Epelboin L, Ohmagari N. The Importance of Behavioral and Native Factors on COVID-19 Infection and Severity: Insights from a Preliminary Cross-Sectional Study. Healthcare (Basel) 2022; 10:healthcare10071341. [PMID: 35885867 PMCID: PMC9323463 DOI: 10.3390/healthcare10071341] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 12/12/2022] Open
Abstract
The COVID-19 pandemic has had a major impact on a global scale. Understanding the innate and lifestyle-related factors influencing the rate and severity of COVID-19 is important for making evidence-based recommendations. This cross-sectional study aims at establishing a potential relationship between human characteristics and vulnerability/resistance to SARS-CoV-2. We hypothesize that the impact of the virus is not the same due to cultural and ethnic differences. A cross-sectional study was performed using an online questionnaire. The methodology included the development of a multi-language survey, expert evaluation, and data analysis. Data were collected using a 13-item pre-tested questionnaire based on a literature review between 9 December 2020 and 21 July 2021. Data were statistically analyzed using logistic regression. For a total of 1125 respondents, 332 (29.5%) were COVID-19 positive; among them, 130 (11.5%) required home-based treatment, and 14 (1.2%) intensive care. The significant and most influential factors on infection included age, physical activity, and health status (p < 0.05), i.e., better physical activity and better health status significantly reduced the possibility of infection, while older age significantly increased it. The severity of infection was negatively associated with the acceptance (adherence and respect) of preventive measures and positively associated with tobacco (p < 0.05), i.e., smoking regularly significantly increases the severity of COVID-19 infection. This suggests the importance of behavioral factors compared to innate ones. Apparently, individual behavior is mainly responsible for the spread of the virus. Therefore, adopting a healthy lifestyle and scrupulously observing preventive measures, including vaccination, would greatly limit the probability of infection and prevent the development of severe COVID-19.
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Affiliation(s)
- Hani Amir Aouissi
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria; (M.S.A.K.); (M.A.)
- Laboratoire de Recherche et d’Etude en Aménagement et Urbanisme (LREAU), Université des Sciences et de la Technologie (USTHB), Algiers 16000, Algeria
- Environmental Research Center (CRE), Badji-Mokhtar Annaba University, Annaba 23000, Algeria
- Correspondence: (H.A.A.); (R.R.); Tel.: +21-3662387144 (H.A.A.)
| | - Mohamed Seif Allah Kechebar
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria; (M.S.A.K.); (M.A.)
| | - Mostefa Ababsa
- Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria; (M.S.A.K.); (M.A.)
| | - Rabih Roufayel
- College of Engineering and Technology, American University of the Middle East, Kuwait;
- Correspondence: (H.A.A.); (R.R.); Tel.: +21-3662387144 (H.A.A.)
| | - Bilel Neji
- College of Engineering and Technology, American University of the Middle East, Kuwait;
| | - Alexandru-Ionut Petrisor
- Doctoral School of Urban Planning, Ion Mincu University of Architecture and Urbanism, 010014 Bucharest, Romania;
- National Institute for Research and Development in Tourism, 50741 Bucharest, Romania
- National Institute for Research and Development in Constructions, Urbanism and Sustainable Spatial Development URBAN-INCERC, 021652 Bucharest, Romania
| | - Ahmed Hamimes
- Faculty of Medicine, University Salah Boubnider of Constantine 3, Constantine 25000, Algeria;
| | - Loïc Epelboin
- Infectious and Tropical Diseases Department, Centre Hospitalier de Cayenne Andrée Rosemon, 97306 Cayenne, France;
- Centre d’Investigation Clinique (CIC INSERM 1424), Centre Hospitalier de Cayenne Andrée Rosemon, 97306 Cayenne, France
| | - Norio Ohmagari
- Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan;
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
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Kacimi SEO, Klouche-Djedid SN, Riffi O, Belaouni HA, Yasmin F, Essar MY, Taouza FA, Belakhdar Y, Fellah SC, Benmelouka AY, Ahmed S, Aloulou M, Bendelhoum A, Merzouk H, Ghozy S, Shah J, Haireche MA. Determinants of COVID-19 Vaccine Engagement in Algeria: A Population-Based Study With Systematic Review of Studies From Arab Countries of the MENA Region. Front Public Health 2022; 10:843449. [PMID: 35712268 PMCID: PMC9196869 DOI: 10.3389/fpubh.2022.843449] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 05/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background The Algerian COVID-19 vaccination campaign, which started at the end of January 2021, is marked by a slowly ascending curve despite the deployed resources. To tackle the issue, we assessed the levels and explored determinants of engagement toward the COVID-19 vaccine among the Algerian population. Methods A nationwide, online-based cross-sectional study was conducted between March 27 and April 30, 2021. A two-stage stratified snowball sampling method was used to include an equivalent number of participants from the four cardinal regions of the country. A vaccine engagement scale was developed, defining vaccine engagement as a multidimensional parameter (5 items) that combined self-stated acceptance and willingness with perceived safety and efficacy of the vaccine. An Engagement score was calculated and the median was used to define engagement vs. non-engagement. Sociodemographic and clinical data, perceptions about COVID-19, and levels of adherence to preventive measures were analyzed as predictors for non-engagement. Results We included 1,019 participants, 54% were female and 64% were aged 18-29 years. Overall, there were low rates of self-declared acceptance (26%) and willingness (21%) to take the vaccine, as well as low levels of agreement regarding vaccine safety (21%) and efficacy (30%). Thus, the vaccine engagement rate was estimated at 33.5%, and ranged between 29.6-38.5% depending on the region (p > 0.05). Non-engagement was independently associated with female gender (OR = 2.31, p < 0.001), low adherence level to preventive measures (OR = 6.93, p < 0.001), private-sector jobs (OR = 0.53, p = 0.038), perceived COVID-19 severity (OR = 0.66, p = 0.014), and fear from contracting the disease (OR = 0.56, p = 0.018). Concern about vaccine side effects (72.0%) and exigence for more efficacy and safety studies (48.3%) were the most commonly reported barrier and enabler for vaccine acceptance respectively; whereas beliefs in the conspiracy theory were reported by 23.4%. Conclusions The very low rates of vaccine engagement among the Algerian population probably explain the slow ascension of the vaccination curve in the country. Vaccine awareness campaigns should be implemented to address the multiple misconceptions and enhance the levels of knowledge and perception both about the disease and the vaccine, by prioritizing target populations and engaging both healthcare workers and the general population.
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Affiliation(s)
| | | | - Omar Riffi
- Department of Medicine, Faculty of Medicine, University of Tlemcen, Tlemcen, Algeria
| | - Hadj Ahmed Belaouni
- Laboratoire de Biologie des Systèmes Microbiens (LBSM), Ecole Normale Supérieure de Kouba, Algiers, Algeria
| | - Farah Yasmin
- Dow University of Health Sciences, Karachi, Pakistan
| | | | | | | | - Saliha Chiboub Fellah
- Department of Medicine, Faculty of Medicine, University of Tlemcen, Tlemcen, Algeria
| | | | | | | | - Abdellah Bendelhoum
- Department of Medicine, Faculty of Medicine, University of Tlemcen, Tlemcen, Algeria
| | - Hafida Merzouk
- Laboratory of Physiology, Physiopathology and Biochemistry of Nutrition, Department of Biology, Faculty of Natural and Life Sciences, Earth and Universe, University of Tlemcen, Tlemcen, Algeria
| | - Sherief Ghozy
- Neurovascular Research Lab, Radiology Department, Mayo Clinic, Rochester, MN, United States
- Nuffield Department of Primary Care Health Science, Medical Science Division, Oxford University, Oxford, United Kingdom
| | - Jaffer Shah
- Medical Research Center, Kateb University, Kabul, Afghanistan
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Tabassum T, Rahman A, Araf Y, Ullah MA, Hosen MJ. Management of asthma patients during the COVID-19 pandemic: pathophysiological considerations to address the challenges. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022; 11:20. [PMID: 35155689 PMCID: PMC8817645 DOI: 10.1186/s43088-022-00204-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 01/27/2022] [Indexed: 12/15/2022] Open
Abstract
Background The coronavirus disease 2019 (COVID-19) has become a serious global health issue, especially for people with pre-existing health conditions. Patients dealing with asthma are presumed to be at higher risk as COVID-19 may cause severe respiratory distress. Main body From the initial stage of the pandemic, several clinical trials and studies have assessed the association between COVID-19 and asthma; however, no significant association was reported. This may be due to the fact that most of the asthma cases remained undiagnosed and overlapping respiratory features make it difficult to differentiate between these two diseases. The pathomechanism of the conditions and the immune response generated in response to the conditions suggest that the presence of any of the conditions is very likely to influence the presence or severity of the other condition. So far, no specific treatments are known for COVID-19; however, the use of plasma therapy and broad-spectrum antiviral drugs during the initial phase of the pandemic and widespread vaccination during the latter phase has given positive outcomes in reducing COVID-19 cases as well as disease severity. Short conclusion Taking asthma as an increased risk factor for COVID-19 morbidity, this article aims to provide comprehensive insights into the risk and proper management of asthma patients during this COVID-19 pandemic. The common medications of asthma patients suppress their respiratory immune response that might facilitate cytokine storm in COVID-19 patients. Similarly, there are risks of viral-induced asthma exacerbations. Besides, different social issues such as shortage of medicines, SDOH, and delayed clinical trials put asthma patients through inconvenience. The primary focus at this point should be to reduce probable asthma attacks and severity to prevent hospitalization of asthma patients. Moreover, for better management of asthma patients maintaining an asthma action plan and healthy lifestyle, ensuring a nutritious diet, and developing self-management interventions can play a crucial role.
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Choudhury PR, Saha T, Goel S, Shah JM, Ganjewala D. Cross-species virus transmission and its pandemic potential. BULLETIN OF THE NATIONAL RESEARCH CENTRE 2022; 46:18. [PMID: 35095263 PMCID: PMC8787036 DOI: 10.1186/s42269-022-00701-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The majority of pandemics are known to be a result of either bacteria or viruses out of which viruses seem to be an entity of growing concern due to the sheer number of yet unidentified and potentially threatening viruses, their ability to quickly evolve and transform, their ability to transfer and change from one host organism to another and the difficulty in creating safe vaccines on time. MAIN BODY The present review attempts to bring forth the potential risks, prevention and its impact on the global society in terms of sociological and economic parameters. Taking hindsight from previously as well as ongoing current viral epidemics, this article aims to draw a concrete correlation between these viruses in terms of their origin, spread and attempts to compare how much they can affect the population. The study also assesses the worst-case scenarios and the amount of preparedness, required to fight against such pandemics and compares the required amount of preparedness to the current precautions and measures by different governments all across the world. SHORT CONCLUSION Learning from the current pandemic, we can implement certain measures to prevent the adverse effects of pandemics in the future and through severe preparedness can combat the challenges brought about by the pandemic.
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Affiliation(s)
- Priyanka Ray Choudhury
- Amity Institute of Biotechnology, Amity University Noida, Sector 125, Noida, 201303 India
| | - Tapoja Saha
- Amity Institute of Biotechnology, Amity University Noida, Sector 125, Noida, 201303 India
| | - Sachin Goel
- Department of Biotechnology, Noida Institute of Engineering and Technology, 19, Knowledge Park-II, Institutional Area, Greater Noida, 201306 India
| | - Janvi Manish Shah
- Department of Biotechnology, Thadomal Shahani Engineering College, Mumbai, 400050 India
| | - Deepak Ganjewala
- Amity Institute of Biotechnology, Amity University Noida, Sector 125, Noida, 201303 India
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