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Seroprevalence of SARS-CoV-2 antibodies and demographic predictors among asymptomatic individuals in Osun State, Nigeria

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Discover Public Health 2025年第1期22卷 1-9页

作者： Oyetunde, Oluwapelumi Breakthrough Alao, Jude Oluwapelumi Akinsola, Oluwatomisin Aderonke Awobiyi, Hezekiah Oluwajoba Aremu, Rasidat Oyindamola Ajimoh, Oreoluwa Deborah Lawal, Khadijah Dolapo Oluwasanya, Glory Jesudara Abiosun, Olanike Moyoloye Oladipo, Elijah Kolawole Biomedical Health Department College of Science and Engineering University of Derby Derby England School of Public Health and Interdisciplinary Studies Auckland University of Technology Auckland New Zealand Microbiology Programme Engineering and Science College of Agric Bowen University Iwo Nigeria Faculty of Natural Science Redeemer’s University Ede Nigeria Microbiology Department Adeleke University Ede Nigeria School of Life Sciences University of Essex Essex England

This study assesses the seroprevalence of SARS-CoV-2 antibodies (IgM, IgG, and IgA) among asymptomatic and unvaccinated individuals in Osun State, Nigeria, to quantify hidden infections and inform targeted public health interventions. A total of 300 participants from diverse socio-demographic backgrounds were tested using ELISA in this cross-sectional study, conducted between February and May 2021. The study revealed a seroprevalence of 58.0%, with notable differences between urban and rural areas, emphasizing the influence of urbanization on virus transmission. No significant associations were found between seropositivity and demographic factors such as age, gender, or occupation, indicating widespread transmission across all groups. However, elevated seroprevalence was observed among married individuals and self-employed workers, suggesting higher exposure in household and occupational settings. These findings underscore the urgent need for tailored public health strategies in low- and middle-income countries, with a focus on urban centers, reducing household transmission, and safeguarding informal workers. The alignment of these results with global trends highlights the critical role of local data in shaping effective public health responses. This study calls for targeted interventions, continuous surveillance, and comparative studies to better manage the current pandemic and prepare for future public health crises. The research provides valuable insights into controlling COVID-19 transmission in similar settings, with significant implications for global health strategies.

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Retraction Note: The association between prenatal exposure to polycyclic aromatic hydrocarbons and childhood intelligence: a systematic review of observational studies (Environmental Science and Pollution Research, (2023), 30, 8, (19592-19601), 10.1007/s11356-023-25309-w)

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Environmental Science and Pollution Research 2025年第12期32卷 7795-7796页

作者： Ramaiah, Pushpamala Altalbawy, Farag M. A. Margiana, Ria Kumar, N. Bharath Kahar, Fitriani Jalil, Abduladheem Turki Komariah, Aan Failoc-Rojas, Virgilio E. Kadhim, Mustafa M. Sivaraman, R. Iswanto, A. Heri Mustafa, Yasser Fakri Najafi, Moslem Lari Faculty of Nursing Umm Al-Qura University Makkah Saudi Arabia Cairo University Giza12613 Egypt Department of Chemistry University College of Duba Tabuk University Duba71911 Saudi Arabia Department of Anatomy Faculty of Medicine Universitas Indonesia Jakarta Indonesia Master’S Programme Biomedical Sciences Faculty of Medicine Universitas Indonesia Jakarta Indonesia Dr. Soetomo General Academic Hospital Surabaya Indonesia Electrical and Electronics Engineering Department Vignan’S Foundation for Science Technology and Research Guntur India Medical Laboratory Technology Poltekkes Kemenkes Semarang Semarang Indonesia Medical Laboratories Techniques Department Al-Mustaqbal University College Babylon Hilla51001 Iraq Educational Administration Department Faculty of Educational Science Universitas Pendidikan Indonesia Bandung Indonesia Salud Mental Universidad Privada Norbert Wiener Lima Peru Medical Laboratory Techniques Department Al-Farahidi University Baghdad Iraq Department of Mathematics Dwaraka Doss Goverdhan Doss Vaishnav College University of Madras Chennai Arumbakkam India Public Health Department Faculty of Health Science University of Pembangunan Nasional Veteran Jakarta Jakarta Indonesia Department of Pharmaceutical Chemistry College of Pharmacy University of Mosul Mosul41001 Iraq Pharmaceutical Sciences and Cosmetic Products Research Center Kerman University of Medical Sciences Kerman Iran

The Editor-in-Chief and Publisher have retracted this article. An investigation by the Publisher found a number of articles, including this one, which share similar concerns, involving but not limited to, irregularities with respect to authorship and peer review. The Editor-in-Chief therefore no longer has confidence in the results and conclusions presented in this article. Authors Pushpamala Ramaiah, Abduladheem Turki Jalil, R. Sivaraman, A. Heri Iswanto, and Yasser Fakri Mustafa did not respond to correspondence from the Publisher about this retraction. The Publisher has been unable to obtain a current email address for authors Farag M. A. Altalbawy, Ria Margiana, N. Bharath Kumar, Fitriani Kahar, Aan Komariah, Virgilio E. Failoc-Rojas, Mustafa M. Kadhim, and Moslem Lari Najafi. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

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The Response of EEG Signal on Brain Relaxation Meditation Using Different Type of Zikr

The Response of EEG Signal on Brain Relaxation Meditation Us...

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2021 International Conference on biomedical engineering, ICoBE 2021

作者： Razak, N.N. Abd Sidek, K.A. Alaa, K.Y.D. Nasir, N.F. Mohd Department of Electrical and Computer Engineering Kulliyyah of Engineering International Islamic University Malaysia Department of Computer Engineering College of Computer Science and Engineering University of Ha’il Saudi Arabia Biomedical Electronic Engineering Programme Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Malaysia

Depression and stress are increasingly prevalent in today’s society, owing to people's hectic, competitive, and demanding lifestyles. These illnesses had become very common, particularly among young and middle-aged people, and suicidal ideation had been identified as one of the leading causes of death by the World Health Organization (WHO). Nature sound (sound of downpours or beach) has been linked to depression and anxiety in neurology research, and it has been shown to be an alternative to alleviate anxiety. The electroencephalogram (EEG) waveform has been discovered to possess the potential in identifying information from the brain signal as well as data from the past via Bluetooth communication. The waveform use in the study are the result of a few experiments. In this study, EEG data were collected from eight subjects, four males and four females, in between the age of 20 to 30 years old and in good health, using the BrainLink device. The participants were asked to listen to two playlists of zikr, Allah, Ya Allah, and SubhanAllah, during the experiments. To smooth the signal, the Butterworth filter was used. Later, the extracted features were Alpha, Beta, and Delta waves, which were segmented based on the filtered signal. To complete the decision-making stage, the average value of amplitude differences and the p-value test were performed in the final phase. Based on the results of the experiments, it is clear that zikr is dominant in Delta wave. In terms of data hypothesis analysis, the results of both experiment were differentiated to determine which brain signal was dominant, and p-value testing was performed. Furthermore, this research is an alternative to current methods because it suggest that zikr has the tendency to alter a person's brain state to be either in a relaxed or calm mode regardless of the type of zikr recitation. As an outcome, the study recommends the relationship of the reaction of EEG signal on brain relaxation with different types of zikr

关键词： Electroencephalography

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Automatic segmentation of nasopharyngeal carcinoma from CT images: Region growing based technique

Automatic segmentation of nasopharyngeal carcinoma from CT i...

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2010 2nd International Conference on Signal Processing Systems, ICSPS 2010

作者： Tatanun, Chanon Ritthipravat, Panrasee Bhongmakapat, Thongchai Tuntiyatorn, Lojana Biomedical Engineering Programme Faculty of Engineering Mahidol University 25/25 Puttamolthon 4 Salaya Nakornpathom Thailand Department of Otolaryngology Faculty of Medicine Ramathibodi Hospital Bangkok Thailand Department of Radiology Faculty of Medicine Ramathibodi Hospital Bangkok Thailand

ISBN: (纸本)9781424468911

This paper describes a framework for automatic nasopharyngeal carcinoma segmentation from CT images. The proposed technique is based on the Region Growing Method. It is automatic segmentation in which an initial seed is generated without human intervention. The seed is generated from a probabilistic map representing the chances of it being tumor. This map is created from three probabilistic functions based on location of the tumor, intensities, and non-tumor region respectively. The pixel in which the probability is the highest will be selected as potential seeds. Only one representative of these seeds will be selected as an initial seed. Then the seed will be used for region growing subsequently. The experimental results showed that the potential seeds and initial seed were correctly determined with a percentage accuracy of 81.60% and 95.10%. The seed was grown in preprocessed CT images for identifying the nasopharyngeal carcinoma region. The results showed that, perfect match and corresponding ratio were 71.31% and 53.00% respectively © 2010 IEEE.

关键词： Tumors

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Sustainable Material for biomedical engineering Application 1

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1000年

作者： Wan Safwani Wan Kamarul Zaman Nurul asma Abdullah

ISBN: (数字)9789819922673

ISBN: (纸本)9789819922666;9789819922697

Sustainable Material for biomedical engineering Application discusses current interdisciplinary approaches in the development of materials and their derivatives that are sustainable for biomedical engineering application. Recent advancement of materials research has shown to have great impact on biomedical and clinical applications. With potential for sustainability, the materials discussed and illustrated in this book, may have the ability to increase and contribute to wider therapeutic options for patients. On the other hand, with the advancement in materials technology, they also have positive impacts in terms of reproducibility and more cost-effective manufacturing solutions for biomedical engineering industry. Some of the main aspects covered in this book are utilisation of human waste, food waste and green technology approach for materials in biomedical engineering applications such as tissue engineering, 3D printing and biosensing. A team of experts from various disciplines share recent advances that provide details and integrates different approaches to sustainable materials development. This book is intended for academicians, researchers, students and industrial players in the field of materials and biomedical engineering.

关键词： biomedical engineering and Bioengineering Chemistry/Food Science, general Biomaterials Regenerative Medicine/Tissue engineering

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Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features

Automatic dendritic spine detection using multiscale dot enh...

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作者： Rada, Lavdie Erdil, Ertunc Ozgurargunsah, A. Unay, Devrim Cetin, Mujdat Faculty of Engineering and Natural Sciences Sabanci University Tuzla Istanbul Turkey Champalimaud Neuroscience Programme Champalimaud Centre for the Unknown Lisbon Portugal Biomedical Engineering Department Bahcesehir University Besiktas Istanbul Turkey

ISBN: (纸本)9781479957514

Statistical characterization of morphological changes of dendritic spines is becoming of crucial interest in the field of neurobiology. Automatic detection and segmentation of dendritic spines promises significant reductions on the time spent by the scientists and reduces the subjectivity concerns. In this paper, we present two approaches for automated detection of dendritic spines in 2-photon laser scanning microscopy (2pLSM) images. The first method combines the idea of dot enhancement filters with information from the dendritic skeleton. The second method learns an SVM classifier by utilizing some pre-labeled SIFT feature descriptors and uses the classifier to detect dendritic spines in new images. For the segmentation of detected spines, we employ a watershed-variational segmentation algorithm. We evaluate the proposed approaches by comparing with manual segmentations of domain experts and the results of a noncommercial software, NeuronIQ. Our methods produce promising detection rate with high segmentation accuracy thus can serve as a useful tool for spine analysis. © 2014 IEEE.

关键词： Bandpass filters

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Synthesizing and Optimization the Hydroxyapatite Based on Corbiculacea Seashells 3rd

Synthesizing and Optimization the Hydroxyapatite Based on Co...

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3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020

作者： Mohd Roslan, Mohd Riza Mohd Nasir, Nashrul Fazli Mohammad, Nur Farahiyah Meng, Cheng Ee Mohd Amin, Nasrul Amri Abdul Khalid, Mohd Farid Zakaria, Mohd Zakimi Azizan, Muhammad Mokhzaini Jusoh, Muzammil Biomedical Electronic Engineering Programme Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Kampus Pauh Putra Arau Perlis Malaysia Mechanical Engineering Programme Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis Kampus Pauh Putra Arau Perlis Malaysia Shah Alam Selangor Malaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Kampus Pauh Putra Arau Perlis Malaysia Pauh Putra Arau Perlis02600 Malaysia

ISBN: (纸本)9789811608650

Hydroxyapatite (HA) is one of the main components in bone which functions to enhance its cell regeneration. Synthetically produced HA, based on seashell resources has higher biocompatibility, and in high demand especially in bone tissue engineering. However, the secondary phase of HA production are calcium oxide and carbonate, which impedes its performance. HA is synthesized via wet chemical precipitation and optimization were done to obtain nearly pure HA by manipulating the pH value and sintering temperature. It is expected that the combination of these parameters will optimize the amount of secondary phase hence attained nearly stoichiometric or pure HA. HA powders were analyzed through Fourier Transform Infrared Spectroscopy (FTIR) and Energy Dispersive X-ray Spectrometry (EDX). © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Chemical Precipitation Corbiculacea Hydroxyapatite

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Segmentation of Tumour Regions for Tubule Formation Assessment on Breast Cancer Histopathology Images 11th

Segmentation of Tumour Regions for Tubule Formation Assessme...

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11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021

作者： Jing, Tan Yee Mustafa, Nazahah Yazid, Haniza Rahman, Khairul Shakir Ab Biomedical Electronic Engineering Programme Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Kampus Alam UniMAP Pauh Putra Arau Perlis02600 Malaysia Department of Pathology Hospital Tuanku Fauziah Kangar Perlis01000 Malaysia

ISBN: (纸本)9789811681288

Breast cancer is the second leading cause of cancer death in women worldwide. In Malaysia, one out of 20 women will develop breast cancer once in their lifetime. Nottingham Histological Grading (NHG) system is widely accepted worldwide as the gold standard in providing the overall grade to breast cancer. Tubule formation is an important breast cancer feature used in the NHG system. Assessment of tubule formation requires pathologist to identify tumour regions. However, colour variation on breast histopathology images could provide nonstandard imaging and influence tumour regions detection. Manual identification of tumour regions using microscope may also vary between pathologists. Thus, automatic segmentation is crucial to detect tumour regions. By eliminating the irrelevant regions on breast histopathology images using automatic segmentation method, pathologist can focus on the tumour regions for further investigation. This study proposed a simple segmentation using global thresholding method to segment tumour regions on breast histopathology images. Partial contrast stretching and median filter were applied as pre-processing to provide better image quality for further segmentation processing. Post-processing using morphological operation and boundary padding were applied to enhance the segmentation results. The proposed method was able to segment the tumour regions on breast histopathology images and obtained accuracy, sensitivity and specificity of 84.22%, 85.83% and 84.89% respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Tumors

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Automatic Platform for Upper Extremity Musculoskeletal Disorder Risks Estimation from Repetitive Actions -Preliminary results.

Automatic Platform for Upper Extremity Musculoskeletal Disor...

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2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023

作者： Aqueveque, Pablo Gutierrez, Manuel Pena, Guisella Germany, Enrique Gomez, Britam Retamal, Gustavo Ortega-Bastidas, Paulina Universidad de Concepción Faculty of Engineering Electrical Engineering Department Concepción Chile Universidad de Concepción Faculty of Biological Sciences Ergonomics Department Concepción Chile Universidad de Santiago de Chile Biomedical Engineering Faculty of Engineering Santiago Chile Universidad de Concepción Faculty of Medicine Kinesiology Department Concepción Chile Universidad Rey Juan Carlos Health Sciences PhD Programme Madrid Spain

ISBN: (纸本)9781665493840

Work-related musculoskeletal disorders is a major problem for worker's health when dealing with repetitive tasks. The Occupational Repetitive Actions Index (OCRA) is one of the most widely used methods for determining upper extremity risk from repetitive actions. Traditional risk assessment consists in observing and recording the entire workday or part of it. This observational assessment depends on the evaluator's expertise, which lead to inter-evaluator variability in the results even for the same job. This paper presents preliminary results of a platform that combines motion capture data with a digitalized OCRA Index method to classify risks under repetitive tasks conditions. Repetitive action tasks were performed in a controlled laboratory environment on ten healthy subjects, where optical and inertial sensors were used to capture movement. Body segment positions, displacements and joint angles were fed into the platform comparing their processing time and reliability. Although results indicate that optical systems have a better performance than inertial sensors for posture evaluation, the last has better practical applicability since optical markers occlusion in the working setup induced measurement errors. In addition, inertial systems are more likely to be used on in real working scenarios due to their ease of use and portability. Finally, inertial sensors combined with the digitized OCRA index method platform effectively reduces 67% of the needed evaluation time compared to traditional observational methods. © 2023 IEEE.

关键词： Risk assessment

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The Influence of pH of Saliva on the Release of Nickel and the Surface Roughness of Stainless Steel as Medical Devices 2

The Influence of pH of Saliva on the Release of Nickel and t...

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2nd International Conference on Bioinformatics, Biotechnology and biomedical engineering - Bioinformatics and biomedical engineering, BioMIC 2019

作者： Siswomihardjo, Widowati Pamungkas, Kesar Adi Amantha, Gloria Diana Widyasrini, Dyah Anindya Sunarintyas, Siti Harsini Universitas Gadjah Mada Department of Biomaterial Department of Biomedical Engineering Yogyakarta Indonesia Universitas Gadjah Mada Programme Study of Dentistry Faculty of Dentistry Yogyakarta Indonesia Universitas Gadjah Mada Graduate School of Dentistry Faculty of Dentistry Yogyakarta Indonesia

ISBN: (纸本)9781728147116

Metal is common as medical devices. Stainless steel (SS316L) has low carbon composition in order to increase corrosion resistance. The release of stainless steel ions can occur due to corrosion and affect the surface roughness. This study determined the influence of pH level of saliva on the concentration of nickel ions release and the surface roughness of SS316L. Twelve specimens of SS316L sized (10x10x1)mm were divided into 3 groups (artificial saliva with pH 3, 5, and 7). Samples were stored in the incubator at 37°C for 14 days. The concentration of nickel ions released was measured using atomic absorption spectrophotometry (ppm). The surface roughness was measured before and after the immersion using surface roughness measuring instrument (μm). The result showed the concentration of nickel ion released (ppm) were 0.099±0.023 (pH 3), 0.045±0.020 (pH 5), and 0.000±0.000 (pH 7). While the surface roughness (μm) were 0.22±0.06 (pH 3), 0.12±0.04 (pH 5), and 0.1±0.03 (pH 7). One-way ANOVA proved that the pH level of saliva significantly influenced the concentration of nickel ions and the surface roughness (p © 2019 IEEE.

关键词： Austenitic stainless steel

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