Osong Public Health and Research Perspectives

Most-read articles are from the articles published in 2023 during the last three month.

Review Articles

The global prevalence of autism spectrum disorder in children: a systematic review and meta-analysis: Alwin Issac, Kurvatteppa Halemani, Asha Shetty, Latha Thimmappa, VR Vijay, Kiranmayi Koni, Prabhaker Mishra, Vishwas Kapoor; Osong Public Health Res Perspect. 2025;16(1):3-27. Published online February 10, 2025; DOI: https://doi.org/10.24171/j.phrp.2024.0286

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Graphical Abstract Abstract PDF Supplementary Material: Objectives
The objective of this review was to analyze quantitative data on autism spectrum disorder (ASD) and to increase the accuracy of estimates of the prevalence of ASD.
Methods
This review, which was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, included studies conducted from January 2008 to June 2024 on children aged 3 to 18 years that used standardized measurement tools and reported cut-off scores for ASD. The prevalence of ASD was the primary outcome analyzed in this review. The PubMed, Clinical Key, Scopus, Embase, CINAHL, and Web of Science databases were reviewed for relevant studies. The review protocol was registered with PROSPERO and followed the Cochrane collaboration guidelines.
Results
A total of 66 studies reported on the prevalence of ASD, screening 21,313,061 children worldwide. Among these, 25 studies were conducted in Europe, 22 in Asia, and 13 in America. Additionally, 3 studies each were reported from Africa and Australia. According to a meta-analysis, 0.77% of children globally are diagnosed with ASD, with boys comprising 1.14% of this group. Notably, Australia showed the highest prevalence rate, with an effect size of 2.18, highlighting it as a critical area for public health focus.
Conclusion
ASD represents a significant global health burden. Early detection, increased awareness among parents, and prompt intervention are crucial for mitigating developmental problems in children later in life. It is essential for health policymakers to acknowledge the prevalence and growing trends of ASD in order to implement effective interventions.

Global prevalence of enterobiasis in young children over the past 20 years: a systematic review and meta-analysis: Elham Kia Lashaki, Azadeh Mizani, Seyed Abdollah Hosseini, Bentolhoda Habibi, Khadijeh Taherkhani, Amir Javadi, AliReza Taremiha, Samira Dodangeh; Osong Public Health Res Perspect. 2023;14(6):441-450. Published online December 28, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0204

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Graphical Abstract Abstract PDF

Parasitic infections are the most common diseases worldwide, and enterobiasis is a common parasitic infection in children. Various studies have reported on the prevalence of Enterobius vermicularis in different regions of the world. However, no study has gathered and analyzed this data systematically. Our systematic review and meta-analysis investigated the overall prevalence of E. vermicularis among children globally. Data were extracted from 4 available databases for studies published from January 2002 to April 2022. The quality of the included studies was scored based on the standard Strengthening the Reporting of Observational Studies in Epidemiology. A random-effect model was chosen to calculate the pooled prevalence and corresponding 95% confidence interval (CI) according to the degree of heterogeneity in the included studies. Thus, 40 publications (42 data sets) that included 3,279 children with enterobiasis met all criteria and were included in the analysis. The meta-analysis showed that heterogeneity among the included studies was high (Q=4,399.35, I2=99.96%; df=41; p<0.001). The pooled global prevalence of enterobiasis among the studied children was 12.9% (95% CI, 8.2%–17.7%). Our systematic review and meta-analysis estimated that, for the past 20 years, 12.9% of children around the world have been infected with E. vermicularis.

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Modelling international travel as risk of acquiring Dientamoeba fragilis: Comparison to Giardia duodenalis data
Jukka-Pekka Pietilä, Tuuve A Häkkinen, Jukka Ollgren, Anu Kantele
Travel Medicine and Infectious Disease.2025; 65: 102836. CrossRef
Development of a Machine Learning Model for the Classification of Enterobius vermicularis Egg
Natthanai Chaibutr, Pongphan Pongpanitanont, Sakhone Laymanivong, Tongjit Thanchomnang, Penchom Janwan
Journal of Imaging.2024; 10(9): 212. CrossRef
Global burden of soil-transmitted helminth infections, 1990–2021
Jin Chen, Yanfeng Gong, Qin Chen, Shizhu Li, Yibiao Zhou
Infectious Diseases of Poverty.2024;[Epub] CrossRef
Studies on the significance of secretory IgA antibodies in the pathogenesis and clinical course of enterobiasis in infected persons from Bulgaria: preliminary findings
E. Kaneva, R. Harizanov, D. Velcheva, N. Tsvetkova, M. Pavlova, I. Alexiev, R. Dimitrova, M. Videnova, R. Borisova, A. Ivanova
Helminthologia.2024; 61(4): 277. CrossRef

Psychiatric adverse events associated with the COVID-19 vaccines approved in the Republic of Korea: a systematic review: Seungeun Ryoo, Miyoung Choi, Nam-Kyong Choi, Hyoung-Shik Shin, Jun Hee Woo, Byung-Joo Park, Sanghoon Oh; Osong Public Health Res Perspect. 2024;15(2):107-114. Published online March 28, 2024; DOI: https://doi.org/10.24171/j.phrp.2023.0325

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This systematic review evaluated psychiatric adverse events (AEs) following vaccination against coronavirus disease 2019 (COVID-19). We included studies that reported or investigated psychiatric AEs in individuals who had received an approved COVID-19 vaccine in the Republic of Korea. Systematic electronic searches of Ovid-Medline, Embase, CENTRAL, and KoreaMed databases were conducted on March 22, 2023. Risk of bias was assessed using the Risk of Bias Assessment Tool for Non-randomized Studies 2.0. The study protocol was registered in the International Prospective Register of Systematic Reviews (CRD42023449422). Of the 301 articles initially selected, 7 were included in the final analysis. All studies reported on sleep disturbances, and 2 highlighted anxiety-related AEs. Sleep disorders like insomnia and narcolepsy were the most prevalent AEs, while depression was not reported. Our review suggests that these AEs may have been influenced by biological mechanisms as well as the broader psychosocial context of the COVID-19 pandemic. Although this study had limitations, such as a primary focus on the BNT162b2 vaccine and an observational study design, it offered a systematic, multi-vaccine analysis that fills a critical gap in the existing literature. This review underscores the need for continued surveillance of psychiatric AEs and guides future research to investigate underlying mechanisms, identify risk factors, and inform clinical management.

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A review of the scientific literature on experimental toxicity studies of COVID-19 vaccines, with special attention to publications in toxicology journals
Jose L. Domingo
Archives of Toxicology.2024; 98(11): 3603. CrossRef

Original Articles

Effectiveness of a brain exercise program using game-based cognitive enhancement to reduce mild cognitive impairment among older adults in Pathum Thani Province, Thailand: a quasi-experimental study: Panida Kunrit, Phannathat Tanthanapanyakorn, Nonlapan Khantikulanon, Sootthikarn Mungkhunthod, Chaninan Praserttai, Sasipa Rungrungrueang, Wanwisa Phonmamuang; Osong Public Health Res Perspect. 2025;16(1):59-71. Published online February 17, 2025; DOI: https://doi.org/10.24171/j.phrp.2024.0267

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Graphical Abstract Abstract PDF: Objectives
Mild cognitive impairment (MCI) is prevalent among older adults and may progress to dementia. This study evaluated the effectiveness of a game-based brain exercise program in reducing MCI among older adults.
Methods
A quasi-experimental study was conducted with 2 groups of older participants in Pathum Thani Province, Thailand. A total of 96 individuals with Thai mental state examination (TMSE) scores between 12 to 23, indicating MCI but no dementia diagnosis, were recruited. Using multi-stage sampling, participants were divided into an intervention group (n=48) and a control group (n=48). The intervention group participated in a 6-week game-based brain exercise program, while the control group received a self-administered brain exercise manual. Face-to-face interviews assessed outcomes at baseline, post-intervention, and 3-month follow-up. Data were analyzed using descriptive statistics and repeated-measures analysis of variance.
Results
Significant differences were observed in mean TMSE scores and MCI knowledge between the intervention and control groups at the 3-month follow-up (p<0.001). The intervention group showed significant increases in TMSE scores and MCI knowledge post-intervention and at 3-month follow-up (p<0.001).
Conclusion
The findings suggest that a game-based brain exercise program can improve cognitive function in older adults. Healthcare professionals can implement such programs to reduce MCI by addressing planning, management, and related issues in the future.

AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods: Muhammad Usman Tariq, Shuhaida Binti Ismail; Osong Public Health Res Perspect. 2024;15(2):115-136. Published online March 28, 2024; DOI: https://doi.org/10.24171/j.phrp.2023.0287

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Graphical Abstract Abstract PDF: Objectives
The coronavirus disease 2019 (COVID-19) pandemic continues to pose significant challenges to the public health sector, including that of the United Arab Emirates (UAE). The objective of this study was to assess the efficiency and accuracy of various deep-learning models in forecasting COVID-19 cases within the UAE, thereby aiding the nation’s public health authorities in informed decision-making. Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. Specifically, the RNN model outperformed the other architectures even without optimization. Comprehensive predictive and perspective analytics were conducted to scrutinize the COVID-19 dataset. Conclusion: This study transcends academic boundaries by offering critical insights that enable public health authorities in the UAE to deploy targeted data-driven interventions. The RNN model, which was identified as the most reliable and accurate for this specific context, can significantly influence public health decisions. Moreover, the broader implications of this research validate the capability of deep learning techniques in handling complex datasets, thus offering the transformative potential for predictive accuracy in the public health and healthcare sectors.

Review Articles

Pandemics: past, present, and future: multitasking challenges in need of cross-disciplinary, transdisciplinary, and multidisciplinary collaborative solutions: Amir Khorram-Manesh, Frederick Martin Burkle Jr, Krzysztof Goniewicz; Osong Public Health Res Perspect. 2024;15(4):267-285. Published online July 23, 2024; DOI: https://doi.org/10.24171/j.phrp.2023.0372

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The extensive history of pandemics has spanned many centuries, profoundly impacting societies, economies, and public health, and thereby shaping the course of history in various ways. Advances in medicine, science, and public health practices have played a pivotal role in mitigating the effects of pandemics over time. This review explores the scientific landscape of contemporary pandemics, examining their diverse and complex nature. It goes beyond the biological aspects of pandemics to consider socioeconomic, environmental, and technological factors. Through a scientific lens, this study aims to understand the complexities of pandemics and contribute to the expanding knowledge base that helps humanity strengthen its defenses against global health threats. By elucidating the enigmas of pandemics, the study hopes to foster a more resilient and prepared global health environment. Highlighting the importance of a multidisciplinary, cross-disciplinary, and transdisciplinary approach, this exploration emphasizes the critical need to integrate biological, socioeconomic, environmental, and technological domains to develop more robust defenses against these global health challenges.

Citations

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Transforming global public health: Climate collaboration, political challenges, and systemic change
Krzysztof Goniewicz, Frederick M. Burkle, Amir Khorram-Manesh
Journal of Infection and Public Health.2025; 18(1): 102615. CrossRef
The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance
Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu
Computational and Structural Biotechnology Journal.2025; 27: 423. CrossRef
Innovative Diagnostic Approaches and Challenges in the Management of HIV: Bridging Basic Science and Clinical Practice
Mohd Afzal, Shagun Agarwal, Rabab H. Elshaikh, Asaad M. A. Babker, Einas Awad Ibrahim Osman, Ranjay Kumar Choudhary, Suresh Jaiswal, Farhana Zahir, Pranav Kumar Prabhakar, Anass M. Abbas, Manar G. Shalabi, Ashok Kumar Sah
Life.2025; 15(2): 209. CrossRef
BIOSURFACTANT PROPERTIES AND ITS APPLICATION IN CHROMIUM REMOVAL: A REVIEW
Usman Ali Bukar, Abdullahi Hassan Kawo, Sani Yahaya, Sani Yahaya, Abdullahi Balarabe Inuwa, Aminu Yusuf Fardami
FUDMA JOURNAL OF SCIENCES.2025; 9(1): 273. CrossRef
Tracking the Threat, 50 Years of Laboratory-Acquired Infections: A Systematic Review
Esteban Zavaleta-Monestel, Carolina Rojas-Chinchilla, Adriana Anchía-Alfaro, Diego Quesada-Loría, Jonathan García-Montero, Sebastián Arguedas-Chacón, Georgia Hanley-Vargas
Acta Microbiologica Hellenica.2025; 70(2): 11. CrossRef
Artificial Intelligence in Cardiology: Insights From a Multidisciplinary Perspective
Kalynn Niroda, Cristian Drudi, Joseph Byers, Jasmine Johnson, Gabrielle Cozzi, Leo Anthony Celi, Haitham Khraishah
Journal of the Society for Cardiovascular Angiogra.2025; 4(3): 102612. CrossRef
Shaping Safety: Unveiling the Dynamics of Incident Reporting and Safety Culture in Saudi Arabian Healthcare
Hind Alsahli, Ahmed Al-Wathinani, Tariq Althobaiti, Mohammed Abahussain, Krzysztof Goniewicz
Journal of Multidisciplinary Healthcare.2024; Volume 17: 3775. CrossRef
The Impacts of Narcissistic Leadership on Achieving the United Nations’ Sustainable Development Goals—A Scoping Review
Amir Khorram-Manesh, Krzysztof Goniewicz, Frederick M. Burkle
Challenges.2024; 15(3): 37. CrossRef
Global Health Emergencies of Extreme Drought Events: Historical Impacts and Future Preparedness
Zakaria A. Mani, Amir Khorram-Manesh, Krzysztof Goniewicz
Atmosphere.2024; 15(9): 1137. CrossRef
The Effectiveness and Benefits of Disaster Simulation Training for Undergraduate Medical Students in Saudi Arabia [Letter]
Ahmed Al-Wathinani, Krzysztof Goniewicz
Advances in Medical Education and Practice.2024; Volume 15: 1173. CrossRef
Evaluating the efficacy of full-scale and tabletop exercises in enhancing paramedic preparedness for external disasters: A quasi-experimental study
Ghadeer A. Alakrawi, Ahmed M. Al-Wathinani, Juan Gómez-Salgado, Abdullah M. Alobaid, Mohammed Abahussian, Riyadh Alhazmi, Abdulmajeed Mobrad, Albaraa Jebreel, Saqar Althunayyan, Krzysztof Goniewicz
Medicine.2024; 103(49): e40777. CrossRef

The prevalence of tobacco, alcohol, stimulant, khat, and cannabis use among school-going students in African and Arab countries: a systematic review and meta-analysis: Chaimaa El Moubchiri, Mohamed Chahboune, Morad Guennouni, Abderraouf Hilali; Osong Public Health Res Perspect. 2025;16(1):28-41. Published online December 13, 2024; DOI: https://doi.org/10.24171/j.phrp.2024.0204

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Graphical Abstract Abstract PDF Supplementary Material: Objectives
The objectives of this review and meta-analysis were twofold: first, to determine the prevalence of substance use among school-going children in Arab and African countries; and second, to highlight the considerable influence of variables such as the nation’s region and the timeframe of the study on the prevalence of substance use.
Methods
Research was sourced from Science Direct, Scopus, Web of Science, Google Scholar, and PubMed. Thirty-seven articles were incorporated in accordance with the PRISMA guidelines. This review included studies published from 2013 to 2023. The statistical meta-analysis was performed using Comprehensive Meta-Analysis ver. 3 software. Across 37 studies, the total number of study participants was 73,508.
Results
The meta-analysis revealed that tobacco was the most commonly used substance, with a prevalence of 16% (95% confidence interval [CI], 12.7%–20.02%). This was closely followed by alcohol, which had a prevalence of 15% (95% CI, 10.5%–22.8%), stimulants at 11.4% (95% CI, 7.4%–17%), khat at 10% (95% CI, 5.7%–15%), and cannabis at 8% (95% CI, 3.3%–18.4%). Notably, alcohol was the only substance that showed an increasing trend in prevalence from before to after 2019, rising from 13.3% (95% CI, 6.2%–26.1%) to 17% (95% CI, 10.2%–27%) (p<0.001). Additionally, the prevalence of substance use varied significantly between Arab and African countries (p<0.001).
Conclusion
Although the prevalence of substance use among school-going populations has significantly decreased over time, with the exception of alcohol, it is imperative that both African and Arab countries implement comprehensive measures and stringent laws to address the production and marketing of substances.

Original Article

Individual and contextual factors associated with measles infection in Malaysia: a multilevel analysis: Mohd Rujhan Hadfi Mat Daud, Nor Azwany Yaacob, Wan Nor Arifin, Jamiatul Aida Md Sani, Wan Abdul Hannan Wan Ibadullah; Osong Public Health Res Perspect. 2024;15(5):429-439. Published online August 21, 2024; DOI: https://doi.org/10.24171/j.phrp.2024.0156

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Graphical Abstract Abstract PDF: Objectives
Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Review Article

Strategies to combat Gram-negative bacterial resistance to conventional antibacterial drugs: a review: Priyanka Bhowmik, Barkha Modi, Parijat Roy, Antarika Chowdhury; Osong Public Health Res Perspect. 2023;14(5):333-346. Published online October 18, 2023; DOI: https://doi.org/10.24171/j.phrp.2022.0323

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The emergence of antimicrobial resistance raises the fear of untreatable diseases. Antimicrobial resistance is a multifaceted and dynamic phenomenon that is the cumulative result of different factors. While Gram-positive pathogens, such as methicillin-resistant Staphylococcus aureus and Clostridium difficile, were previously the most concerning issues in the field of public health, Gram-negative pathogens are now of prime importance. The World Health Organization’s priority list of pathogens mostly includes multidrug-resistant Gram-negative organisms particularly carbapenem-resistant Enterobacterales, carbapenem-resistant Pseudomonas aeruginosa, and extensively drug-resistant Acinetobacter baumannii. The spread of Gram-negative bacterial resistance is a global issue, involving a variety of mechanisms. Several strategies have been proposed to control resistant Gram-negative bacteria, such as the development of antimicrobial auxiliary agents and research into chemical compounds with new modes of action. Another emerging trend is the development of naturally derived antibacterial compounds that aim for targets novel areas, including engineered bacteriophages, probiotics, metal-based antibacterial agents, odilorhabdins, quorum sensing inhibitors, and microbiome-modifying agents. This review focuses on the current status of alternative treatment regimens against multidrug-resistant Gram-negative bacteria, aiming to provide a snapshot of the situation and some information on the broader context.

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Bioactive Potential and Chemical Composition of Vitex agnus-castus L. Leaf Extracts Collected in Algeria: A Combined In Vitro and In Silico Approach
Amina Bramki, Ghozlane Barboucha, Ouided Benslama, Anna Andolfi, Fatima Zohra Makhlouf, Maria Smati, Djamila Benouchenne, Mohamed Moussaoui, Chawki Bensouici, Alessio Cimmino, Jesús G. Zorrilla, Maria Michela Salvatore, Marco Masi
Molecules.2025; 30(3): 749. CrossRef
Viability and Surface Morphology of Human Erythrocytes upon Interaction with Chitosan Derivatives
Evgeniya A. Bezrodnykh, Marina G. Holyavka, Tatyana N. Belyaeva, Svetlana M. Pankova, Valery G. Artyukhov, Yurij A. Antonov, Boris B. Berezin, Inesa V. Blagodatskikh, Vladimir E. Tikhonov
ACS Applied Bio Materials.2025; 8(3): 1909. CrossRef
Efficacy of new generation biosorbents for the sustainable treatment of antibiotic residues and antibiotic resistance genes from polluted waste effluent
Barkha Madhogaria, Sangeeta Banerjee, Atreyee Kundu, Prasanta Dhak
Infectious Medicine.2024; 3(1): 100092. CrossRef
Evaluation of Plant-Based Silver Nanoparticles for Antioxidant Activity and Promising Wound-Healing Applications
Maria Qubtia, Shazia Akram Ghumman, Sobia Noreen, Huma Hameed, Shazia Noureen, Rizwana Kausar, Ali Irfan, Pervaiz Akhtar Shah, Hafsa Afzal, Misbah Hameed, Mohammad Raish, Maria Rana, Ajaz Ahmad, Katarzyna Kotwica-Mojzych, Yousef A. Bin Jardan
ACS Omega.2024; 9(10): 12146. CrossRef
Progress and potentialities in wood extractives-based materials for active food packaging applications
Eliana I. Fernández Sosa, Nanci Ehman, Fernando E. Felissia, M. Guadalupe Chaves, M. Cristina Area
Food Bioscience.2024; 60: 104489. CrossRef
Isolation, derivatization, and anti-microbial evaluation of secondary metabolites from Garcinia dryobalanoides
Nur Fazlin Zafirah Zaine, Nor Hisam Zamakshshari, Ainaa Nadiah Abd Halim, Vivien Jong Yi Mian, Ngieng Ngui Sing
Natural Product Research.2024; : 1. CrossRef
A comprehensive investigation of the anion inhibition profile of a β-carbonic anhydrase from Acinetobacter baumannii for crafting innovative antimicrobial treatments
Viviana De Luca, Simone Giovannuzzi, Claudiu T. Supuran, Clemente Capasso
Journal of Enzyme Inhibition and Medicinal Chemist.2024;[Epub] CrossRef

Original Articles

Excess mortality in older adults and cumulative excess mortality across all ages during the COVID-19 pandemic in the 20 countries with the highest mortality rates worldwide: Chiranjib Chakraborty, Manojit Bhattacharya, Sang-Soo Lee; Osong Public Health Res Perspect. 2025;16(1):42-58. Published online February 13, 2025; DOI: https://doi.org/10.24171/j.phrp.2024.0186

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Graphical Abstract Abstract PDF Supplementary Material: Objectives
Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic. Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortality across all age groups to assess the global impact and specifically examined the top 20 countries with the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85.
Methods
We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women.
Results
Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and >85), the highest mean excess mortality was observed in women over the age of 85.
Conclusion
The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statistical models using the data: a binomial distribution model and a correlation coefficient model, both considering the mean excess deaths in older men and women across these 3 age groups. Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Mental health and its determinants among adolescents living in families with separated or divorced parents in an urban area of Vietnam: Binh Thang Tran, Minh Tu Nguyen, Minh Tam Nguyen, Thanh Gia Nguyen, Vo Nu Hong Duc, Thi Tra My Tran; Osong Public Health Res Perspect. 2023;14(4):300-311. Published online August 9, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0110

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Objectives
We assessed the prevalence of stress, anxiety, and depression among adolescents living in families with separated or divorced parents in Hue City, Vietnam and identified factors associated with these conditions.
Methods
This cross-sectional study enrolled 309 adolescents, aged 12 to 17 years, living in families with separated or divorced parents in Hue City, Vietnam. The depression anxiety stress scale-21 (DASS-21) was used to measure stress, anxiety, and depression. Predictors of overall and individual mental health problems were identified using ordered and binary logistic regression, respectively.
Results
The DASS-21 scale revealed a 49.2% prevalence of stress, while anxiety and depression had s prevalence rates of 61.5%. Among participants, 42.4% experienced all 3 mental health issues. Several factors were identified as significant predictors of mental health problems, including poor to average economic status (adjusted odds ratio [aOR], 2.00; 95% confidence interval [CI], 1.21–3.31; p=0.007); being in high school (aOR, 5.02; 95% CI, 2.93–8.60; p<0.001); maternal occupation of teacher, healthcare professional, or official (aOR, 2.39; 95% CI, 1.13–5.03; p=0.022); longer duration of family separation or divorce (aOR, 1.24; 95% CI, 1.05–1.45; p=0.009); living with one’s mother (aOR, 1.69; 95% CI, 1.03–2.76; p=0.04); alcohol consumption (aOR, 1.70; 95% CI, 0.99–2.92; p=0.050); and being bullied (aOR, 5.33; 95% CI, 1.10–25.69; p=0.037). Most of these factors were associated with stress, anxiety, and depression. Additionally, smoking was associated with stress.
Conclusion
Adolescents with separated or divorced parents were at increased risk of stress, anxiety, and depression. The findings of this study provide important implications for prevention programs.

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The impact of parental absence on the mental health of middle school students in rural areas of Western China
Xiaohong Ren, Cen Lin, Lu Pan, Qiuyue Fan, Dapeng Wu, JinLong He, Ping He, Jiaming Luo
Frontiers in Public Health.2025;[Epub] CrossRef
Mental health among ethnic minority adolescents in Vietnam and correlated factors: A cross-sectional study
Ngo Anh Vinh, Vu Thi My Hanh, Do Thi Bich Van, Duong Anh Tai, Do Minh Loan, Le Thi Thanh Thuy
Journal of Affective Disorders Reports.2024; 17: 100795. CrossRef
Subgrouping of anxiety symptoms and stress levels in Chinese adolescents: results of a latent profile analysis
Xuefeng Li, Jingyan Chen, Jinpeng Wang, Jinhong Ding, Jing Xiao
Current Psychology.2024; 43(36): 28685. CrossRef
Prevalence and risk factors associated with psychological distress among children in Penang, Malaysia: A stratified multistage cluster study
Xin Yee Foo, Nur Arzuar Abdul Rahim, Lai Kuan Lee
MethodsX.2024; 13: 103069. CrossRef

Estimating the prevalence of oral manifestations in COVID-19 patients: a systematic review: Ankita Gupta, Kriti Shrivastav, Amit Agrawal, Abhishek Purohit, Roshan Chanchlani; Osong Public Health Res Perspect. 2023;14(5):388-417. Published online September 19, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0033

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Graphical Abstract Abstract PDF Supplementary Material

Objectives
Patients with coronavirus disease 2019 (COVID-19) present with a variety of oral manifestations. Therefore, we conducted a systematic review to estimate the prevalence of oral lesions among COVID-19 patients. Methods: An extensive literature search of several electronic bibliographic databases (PubMed, Scopus, Science Direct, Litcovid) was conducted to retrieve all articles published in the English language from January 1, 2020 to March 31, 2023 that reported the prevalence of oral manifestations among COVID-19 patients. A meta-analysis of pooled prevalence was performed using Jamovi ver. 2.3 (2022). The I2 and Q statistics were used to assess heterogeneity between studies, and p-values <0.01 were considered statistically significant. Results: In total, 79 studies with data from 13,252 patients were included. The articles were predominantly published in 2020 (n=33), and Italy was the most common country (n=14). Most of the affected patients more than 50 years old and women (56.6%). The most common sites of involvement were the tongue (n=65), followed by the oral mucosa (n=37) and lips (n=19). High heterogeneity was found between studies. The most common oral manifestation was taste alteration, followed by xerostomia and ulceration, showing pooled prevalence rates of 48%, 35%, and 21%, respectively. Conclusion: COVID-19 patients show various oral manifestations that may help clinicians identify the disease promptly. Recognition of the signs and symptoms of COVID-19 is critical for an early diagnosis and better prognosis.

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Severe acute respiratory syndrome coronavirus 2 pathology and cell tropism in tongue tissues of COVID-19 autopsies
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Chronic kidney disease in Indonesia: evidence from a national health survey: Puti Sari Hidayangsih, Dwi Hapsari Tjandrarini, Noor Edi Widya Sukoco, Nikson Sitorus, Ika Dharmayanti, Feri Ahmadi; Osong Public Health Res Perspect. 2023;14(1):23-30. Published online February 14, 2023; DOI: https://doi.org/10.24171/j.phrp.2022.0290

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Objectives
Several previous studies have stated that consuming certain foods and beverages might increase the risk of chronic kidney disease (CKD). This study aimed to examine the relationships of food and beverage consumption with other risk factors for CKD. Methods: Data sources included the 2018 Basic Health Research (Riskesdas) and the National Socio-Economic Survey (Susenas), which were analyzed using a cross-sectional design. The study samples were households from 34 provinces in Indonesia, and the analysis was performed with provincial aggregates. Data were analyzed using risk factor analysis followed by linear regression to identify relationships with CKD. Results: The prevalence of CKD in Indonesia was 0.38%. The province with the highest prevalence was North Kalimantan (0.64%), while the lowest was found in West Sulawesi (0.18%). Five major groups were formed from 15 identified risk factors using factor analysis. A linear regression model presented 1 significant selected factor (p=0.006, R2 =31%). The final model of risk factors included water quality, consumption of fatty foods, and a history of diabetes. Conclusion: Drinking water quality, fatty food consumption, and diabetes are associated with CKD. There is a need to monitor drinking water, as well as to promote health education and provide comprehensive services for people with diabetes, to prevent CKD.

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Enhanced detection of albumin-creatinine ratio in urine using gold nanoparticle-integrated 3D-connector microfluidic paper-based analytical devices for early diagnosis of chronic kidney disease
Akhmad Sabarudin, Saidun Fiddaroini, Ahmad Luthfi Fahmi, Abdul Munir Roja’i, Isadora Evani Salsabila, Aulanni’am, Setyawan Purnomo Sakti, Hani Susianti
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Review Articles

Comparison and consideration of vaccine injury compensation programs in the Republic of Korea, Japan, and Taiwan: Cho Ryok Kang, Young June Choe, Jihyun Moon, Dooyoung Kim, Taemi Kim, Jong-Koo Lee; Osong Public Health Res Perspect. 2024;15(6):479-488. Published online November 12, 2024; DOI: https://doi.org/10.24171/j.phrp.2024.0129

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Graphical Abstract Abstract PDF Supplementary Material: This study aimed to establish a foundation for future collaborations aimed at preparing for and responding to infectious diseases by examining the vaccine injury compensation programs (VICPs) of East Asian countries. We reviewed the current status of VICPs in the Republic of Korea, Japan, and Taiwan by searching national government websites and reviewing relevant literature. Additionally, we conducted email inquiries targeting experts from Japan and Taiwan. Through the comprehensive analysis of VICPs in these 3 countries covered various aspects, we identified several similarities and differences in the VICPs across these countries. While the governments of the Republic of Korea, Japan, and Taiwan play a central role in supporting investigations into vaccine injuries and managing compensation procedures based on legal statutes, they differ in terms of financial resources for compensation, the range of vaccines covered, and the criteria for assessing causality. In the Republic of Korea, Japan, and Taiwan, compensation is typically paid in a lump sum, although the specific benefits available vary by country. This study on VICPs in the Republic of Korea, Japan, and Taiwan provides valuable insights for the further development and management of domestic systems.

Predictors of outcomes 3 to 12 months after traumatic brain injury: a systematic review and meta-analysis: Younes Iderdar, Maryem Arraji, Nadia Al Wachami, Morad Guennouni, Karima Boumendil, Yassmine Mourajid, Noureddine Elkhoudri, Elmadani Saad, Mohamed Chahboune; Osong Public Health Res Perspect. 2024;15(1):3-17. Published online February 5, 2024; DOI: https://doi.org/10.24171/j.phrp.2023.0288

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The exact factors predicting outcomes following traumatic brain injury (TBI) remain elusive. In this systematic review and meta-analysis, we examined factors influencing outcomes in adult patients with TBI, from 3 months to 1 year after injury. A search of four electronic databases—PubMed, Scopus, Web of Science, and ScienceDirect—yielded 29 studies for review and 16 for meta-analysis, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. In patients with TBI of any severity, mean differences were observed in age (8.72 years; 95% confidence interval [CI], 4.77–12.66 years), lymphocyte count (−0.15 109/L; 95% CI, −0.18 to −0.11), glucose levels (1.20 mmol/L; 95% CI, 0.73–1.68), and haemoglobin levels (−0.91 g/dL; 95% CI, −1.49 to −0.33) between those with favourable and unfavourable outcomes. The prevalence rates of unfavourable outcomes were as follows: abnormal cisterns, 65.7%; intracranial pressure above 20 mmHg, 52.9%; midline shift of 5 mm or more, 63%; hypotension, 71%; hypoxia, 86.8%; blood transfusion, 70.3%; and mechanical ventilation, 90%. Several predictors were strongly associated with outcome. Specifically, age, lymphocyte count, glucose level, haemoglobin level, severity of TBI, pupillary reaction, and type of injury were identified as potential predictors of long-term outcomes.

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Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review
Seun Orenuga, Philip Jordache, Daniel Mirzai, Tyler Monteros, Ernesto Gonzalez, Ahmed Madkoor, Rahim Hirani, Raj K. Tiwari, Mill Etienne
Life.2025; 15(3): 424. CrossRef

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