信息工程最新文献

{"title":"Research on high-throughput blockchain-based solutions for large-scale medical data sharing","authors":"JinCheng Ma,&nbsp;Fei Li,&nbsp;RenHong Diao","doi":"10.1016/j.bcra.2025.100332","DOIUrl":"10.1016/j.bcra.2025.100332","url":null,"abstract":"<div><div>In recent years, with the globalization of pandemics, large-scale infectious diseases are highly likely to break out in a short period, putting immense pressure on the centralized treatment and isolation work of medical institutions. Additionally, the privacy protection of patient medical records is increasingly emphasized. During a pandemic, the massive sharing of medical records can lead to patient privacy information being susceptible to attackers. To address the scenario where a large number of patients need centralized treatment during an outbreak, this paper proposes a secure medical record-sharing scheme based on the high-throughput ChainMaker consortium blockchain. This scheme protects patient identities via SM2 encryption, stores encrypted medical records using InterPlanetary File System (IPFS), and integrates searchable encryption with conditional proxy re-encryption technology to ensure privacy preservation and achieve fine-grained access control during data transmission and sharing. Moreover, load balancing and traffic peak reduction are achieved through the client and message queue of the specific distributed architecture. Scheme analysis indicates that this scheme has significant performance advantages and security guarantees in meeting the medical record data-sharing needs during large-scale infectious disease outbreaks. Therefore, this scheme can effectively address the issues of data-sharing efficiency and privacy protection in centralized treatment scenarios, providing robust technical support for responses to future public health crises.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"7 2","pages":"Article 100332"},"PeriodicalIF":5.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147658150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing blockchain-based transparent e-commerce solutions for Danish SMEs to promote sustainable design products","authors":"Somnath Mazumdar ,&nbsp;Robert J. Kauffman ,&nbsp;Thomas Jensen ,&nbsp;Raghava Rao Mukkamala ,&nbsp;Jan Damsgaard","doi":"10.1016/j.bcra.2025.100330","DOIUrl":"10.1016/j.bcra.2025.100330","url":null,"abstract":"<div><div>Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. This study expands the knowledge of product sustainability and transparency. It aids our understanding of how SMEs develop prototypes and pilot solutions using blockchain and the Internet of Things. To fulfill this aim, we discuss the experiences of three SMEs in two design domains: home decor and fashion goods. During the prototype and pilot phases, we used an iterative approach to match the firms' solution specifications and ensured that they did not replace but instead complemented the SME's legacy systems. Our pilot solutions supported SMEs to achieve their desired sustainability goals. Users could see the amount of recycled plastic used and the total <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> reduction after scanning a quick response (QR) code. Upon scanning a QR code for a particular item, its origins and associated geographical details are displayed. The implementation of transparency involved monitoring the mobile application's popularity, where more than 10,000 clicks were documented for each product upon its introduction.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"7 2","pages":"Article 100330"},"PeriodicalIF":5.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147750762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tiny neural networks for multi-object tracking in a modular Kalman framework","authors":"Christian Holz,&nbsp;Christian Bader,&nbsp;Markus Enzweiler,&nbsp;Matthias Drüppel","doi":"10.1007/s43684-026-00127-2","DOIUrl":"10.1007/s43684-026-00127-2","url":null,"abstract":"<div><p>We present a modular, production-ready approach that integrates compact Neural Network (NN) into a Kalman-filter-based Multi-Object Tracking (MOT) pipeline. We design three tiny task-specific networks to retain modularity, interpretability and real-time suitability for embedded Automotive Driver Assistance Systems: </p><ol>\u0000 <li>\u0000 <span>(i)</span>\u0000 \u0000 <p>SPENT (Single-Prediction Network) — predicts per-track states and replaces heuristic motion models used by the Kalman Filter (KF).</p>\u0000 \u0000 </li>\u0000 <li>\u0000 <span>(ii)</span>\u0000 \u0000 <p>SANT (Single-Association Network) — assigns a single incoming sensor object to existing tracks, without relying on heuristic distance and association metrics.</p>\u0000 \u0000 </li>\u0000 <li>\u0000 <span>(iii)</span>\u0000 \u0000 <p>MANTa (Multi-Association Network) — jointly associates multiple sensor objects to multiple tracks in a single step.</p>\u0000 \u0000 </li>\u0000 </ol><p> Each module has less than 50k trainable parameters. Furthermore, all three can be operated in real-time, are trained from tracking data, and expose modular interfaces so they can be integrated with standard Kalman-filter state updates and track management. This makes them drop-in compatible with many existing trackers. Modularity is ensured, as each network can be trained and evaluated independently of the others. Our evaluation on the KITTI tracking benchmark shows that SPENT reduces prediction RMSE by more than 50% compared to a standard Kalman filter, while SANT and MANTa achieve up to 95% assignment accuracy. These results demonstrate that small, task-specific neural modules can substantially improve tracking accuracy and robustness without sacrificing modularity, interpretability, or the real-time constraints required for automotive deployment.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-026-00127-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147561861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"T-3MS fusion: gradient-aware transformer-guided middle-fusion for real-time 3D object detection on affordable sensor suite","authors":"Badri Raj Lamichhane,&nbsp;Teerayut Horanont,&nbsp;Gun Srijuntongsiri","doi":"10.1007/s43684-026-00128-1","DOIUrl":"10.1007/s43684-026-00128-1","url":null,"abstract":"<div><p>High-precision 3D perception in autonomous driving remains constrained by dependence on expensive LiDAR sensors and computationally intensive models. These prohibitive requirements effectively limit resource-constrained platforms from accessing advanced perception capabilities, hindering the widespread adoption of autonomous technology. We present T-3MS Fusion, a transformer-based middle-fusion framework that achieves state-of-the-art 3D object detection performance using only a Velodyne VLP-32C LiDAR and a consumer-grade 360° camera, eliminating the need for test-time augmentation while maintaining computational efficiency. In contrast to early-fusion strategies that weaken spatial fidelity and late-fusion methods that lose geometric consistency, T-3MS employs a transformer-based middle-deep fusion architecture. This design leverages hierarchical gated residual transformers and adaptive cross-modal reactivation to preserve LiDAR geometry and camera semantics while enabling effective multi-scale feature integration. Sparse bird’s-eye-view processing and quantization-aware training enable real-time inference on embedded platforms. Validation on the nuScenes benchmark confirms strong performance with 74.9% NDS and 72.8% mAP, while evaluation on a self-collected semi-urban dataset acquired with low-cost and accessible hardware demonstrates resilience under occlusion, adverse illumination, and sparse point-cloud conditions, where even high-resolution LiDAR systems often experience significant performance degradation. These results establish T-3MS Fusion as an effective approach for jointly advancing accuracy, efficiency, and affordability in next-generation autonomous driving perception systems.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-026-00128-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147561215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satellite network-optimized Dynamic Scoped Hierarchical Raft for blockchain consensus","authors":"Jingyi Li,&nbsp;Rui Huang,&nbsp;Nan Shi,&nbsp;Hongjian Weng,&nbsp;Qiangyu Wang,&nbsp;Guo Li,&nbsp;Yufei He,&nbsp;Chunqi Tian","doi":"10.1007/s43684-026-00126-3","DOIUrl":"10.1007/s43684-026-00126-3","url":null,"abstract":"<div><p>Blockchain has achieved widespread application in various fields due to its decentralized nature, data immutability, and transparency. Particularly, its integration with satellite networks provides a more secure and efficient solution for cross-regional, high-speed transmission, and reliable communication. However, challenges such as network fluctuations, performance bottlenecks, and leader election issues arise in this context, primarily due to the uneven computational power distribution of heterogeneous devices in satellite networks, as well as bandwidth limitations, signal delays, and instability. To address these challenges, this paper proposes a Dynamic Scoped Hierarchical Raft algorithm based on the network performance and computational power differences of nodes. The algorithm establishes consensus groups and restricts the pool of eligible leader candidates, thereby enhancing the adaptability of blockchain in satellite networks. Furthermore, by introducing different consensus subgroups, the scalability of the blockchain system is improved. Experimental results show that, compared to the traditional Raft algorithm, the proposed algorithm achieves a 65% increase in average throughput, a 12% reduction in latency, and a 71% reduction in leader election time, with a significantly lower chance of leader node failure when nodes drop out due to network instability.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-026-00126-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"China releases white paper on China’s arms control, disarmament, and nonproliferation in the new era","authors":"","doi":"10.1016/j.jobb.2026.03.001","DOIUrl":"10.1016/j.jobb.2026.03.001","url":null,"abstract":"","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"8 1","pages":"Page 56"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New methods for the assessment and prediction of vector-borne infectious diseases","authors":"Senzhong Huang ,&nbsp;Xinyan Zhang ,&nbsp;Xi Chen ,&nbsp;Fengying Wei ,&nbsp;Jianguo Xu ,&nbsp;Yao Bai ,&nbsp;Zhen Jin ,&nbsp;Qiyong Liu ,&nbsp;Yamin Sun ,&nbsp;Jinjie Wang ,&nbsp;Zhaojun Wang ,&nbsp;Jun Xu ,&nbsp;Xianming Xu ,&nbsp;Lei Xu","doi":"10.1016/j.jobb.2026.01.003","DOIUrl":"10.1016/j.jobb.2026.01.003","url":null,"abstract":"<div><div>This study, which demonstrates that the single-population Susceptible-Exposed-Infectious-Recovered (SEIR) model is also applicable to the assessment and prediction of vector-borne infectious disease outbreaks, provides a reliable model tool for the future prevention and control of vector-borne unknown (<em>X</em>) epidemics. One of the key contributions is the identification of a suitable interpretation of the model parameters. The EpiSIX prediction system, via application of a single SEIR model, was used to fit and analyse the 2025 Foshan City chikungunya fever epidemic data and the 2024–2025 dengue fever epidemics data from Guangdong Province. The results showed that the average serial interval of both fevers was approximately 11 days. The estimated basic reproduction number (<em>R</em>₀) was around 6.0 for the chikungunya fever epidemic in Foshan City and approximately 4.0 and 3.0 for the 2024 and 2025 dengue fever epidemics in Guangdong Province, respectively. An additional prediction of the development trend of the ongoing 2025 dengue fever epidemic in Guangdong Province indicated that the final number of infections would range between 3400 and 6000 cases. Finally, a comparison between the uncontrolled developments of the omicron epidemic (with an average serial interval of 4 days) and the chikungunya fever epidemic (with an average serial interval of 11 days, 2.75 times that of omicron) under the same <em>R</em>₀ value (5.60) showed that the omicron epidemic would last for 50 days, while the chikungunya fever epidemic would persist for 120 days. Theoretically, the pressure of the former on medical resources would be 2.5 times that of the latter.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"8 1","pages":"Pages 39-44"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forecasting tuberculosis prevalence in Afghanistan until 2032: a mathematical modelling analysis","authors":"Abdul Raqib Muslimyar ,&nbsp;Mohammad Farooq Hakimi ,&nbsp;Dost Mohammad Faizi ,&nbsp;Muhammad Haroon Stanikzai ,&nbsp;Naqibullah Wardak","doi":"10.1016/j.jobb.2025.12.003","DOIUrl":"10.1016/j.jobb.2025.12.003","url":null,"abstract":"<div><h3>Background</h3><div>Accurate disease forecasting can inform public health policies. Nonetheless, many countries, including Afghanistan, have yet to learn from this exercise.</div></div><div><h3>Objectives</h3><div>This study aimed to forecast tuberculosis (TB) prevalence in Afghanistan until 2032 and to estimate the reproduction number <span><math><msub><mi>R</mi><mn>0</mn></msub></math></span> using a mathematical model.</div></div><div><h3>Methods</h3><div>We utilised the susceptible–infected (SI) nonlinear epidemic model to forecast the prevalence of TB in Afghanistan. The model parameters were estimated from the data collected by the Afghan Ministry of Public Health between 2013 and 2022. The goodness-of-fit of the SI model was also assessed.</div></div><div><h3>Results</h3><div>The SI model predicted that the prevalence of TB in Afghanistan would increase to 0.214058 by 2032. In addition, we parameterised the model using the TB notification data collected between 2013 and 2022 and estimated the basic reproduction number at approximately 3.39.</div></div><div><h3>Conclusion</h3><div>The study indicates that the SI model predicts a nonlinear increase in TB prevalence in Afghanistan in the years ahead. Therefore, this model can help inform health policymakers in optimising resource allocation and guiding future public health strategies for TB care in the country.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"8 1","pages":"Pages 1-4"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical students’ mobile phones: hotspots for antimicrobial-resistant Gram-negative bacteria","authors":"Ahmed E. Taha ,&nbsp;Heba M. Saad Eldien ,&nbsp;Mohamed Abouelkheir ,&nbsp;Abdulbaqi S. Alduraywish ,&nbsp;Ali A. Alanazi ,&nbsp;Abdulaziz H. Alruwaili ,&nbsp;Mmdoh M. Alrais ,&nbsp;Abdulkareem A. Alyousef ,&nbsp;Abdullah A. Alrais ,&nbsp;Meshal A. Alanazi ,&nbsp;Sultan N. Alhudaib ,&nbsp;Bandar M. Alazmi ,&nbsp;Abdulaziz L. Alruwaili ,&nbsp;Gamal Abdelrahman Bakhaat","doi":"10.1016/j.jobb.2025.12.002","DOIUrl":"10.1016/j.jobb.2025.12.002","url":null,"abstract":"<div><h3>Introduction</h3><div>The mobile phones (MPs) of medical personnel can be easily and rapidly contaminated by bacteria from patients or medical devices and by medical school or hospital environments. This is the first study set in Aljouf Province, Saudi Arabia, to assess the prevalence of bacterial contamination of medical students’ MPs, the antimicrobial susceptibility of the isolates and their independent risk factors.</div></div><div><h3>Methodology</h3><div>Swabs of 250 MPs of medical students were processed using standard microbiological procedures. Data were collected to identify independent contamination risk factors. The automated MicroScan WalkAway Microbiology System was used for bacterial isolate identification and antimicrobial sensitivity/resistance testing.</div></div><div><h3>Results</h3><div>The prevalence of MPs’ bacterial contamination was 56.00 % (<em>n</em> = 140/250). Multivariate logistic regression and stratified analyses revealed significant associations between MP bacterial contamination and a 10-minute duration since the last hand wash (odds ratio [OR] = 1.788; <em>p</em> = 0.037*) and the presence of breaks in the screen or screen protector of MPs (OR = 1.840; <em>p</em> = 0.038*). The most common bacterial contaminants were <em>Escherichia coli</em>, <em>Klebsiella pneumoniae</em> and <em>Staphylococcus epidermidis</em>, at frequencies of 31.79 %, 28.57 % and 19.29 %, respectively. The high frequency of Gram-negative bacterial contaminants in our geographical area was striking. Although <em>Staphylococcus epidermidis</em> isolates were completely sensitive, Gram-negative isolates were found to have varying degrees of reduced susceptibility to some antimicrobials.</div></div><div><h3>Conclusion</h3><div>Our findings support previous reports about the potential role of medical students’ MPs in the transmission of bacteria between community, medical education and healthcare (HC) settings. There is an urgent need to implement policies and regulations for MP use and decontamination, especially in medical education and HC settings. To minimise bacterial contamination risk, medical students should frequently wash their hands when in HC, medical education and community settings and ensure that their MP screens and screen protectors remain intact.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"8 1","pages":"Pages 5-16"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the time-varying effectiveness of COVID-19 preparedness in WHO European Region: A biorisk-focused wavelength (BFW) model approach","authors":"Tevfik Bulut","doi":"10.1016/j.jobb.2026.02.001","DOIUrl":"10.1016/j.jobb.2026.02.001","url":null,"abstract":"<div><div>This study analyses how the time-varying predictive power of national preparedness capacities over the impact of the coronavirus disease 2019 (COVID-19) pandemic has changed over time. Building on the ‘preparedness paradox’ in the literature, the hypothesis that preparedness is a dynamic process whose effectiveness varies across different stages of the pandemic, rather than remaining a static state, was tested. To this end, a repeated cross-sectional analysis covering the period from 2020 to 2024 was conducted on a fixed cohort of 34 countries in the World Health Organization (WHO) European Region. The study utilised a comprehensive dataset integrating COVID-19 incidence from Our World in Data, annual preparedness scores from the WHO e-State Parties’ Self-Assessment Annual Reporting portal, socio-economic resilience indicators from the United Nations Development Programme Human Development Reports and population density metrics from the United Nations Population Division. The impact of the pandemic was quantified using the epidemiological wavelength model and its associated derivative frameworks. The annual explanatory power (adjusted R²) of three frameworks was compared: a Baseline Model representing general socio-economic resilience (indexed by the Human Development Index) and two specialised Biorisk-Focused Wavelength (BFW) Models (Core and Extended), which isolate specific biosecurity capacities. The results demonstrated that the predictive power of preparedness varied significantly across pandemic stages. During the initial phase in 2020, the Core BFW model, which focuses on basic strategic biorisk capacities, was the most effective predictor (adjusted <em>R</em>^<em>2</em> = 11.2%, p = 0.030). In contrast, as the pandemic reached a mature phase in 2022, the biorisk models lost all explanatory power, while the Baseline Model of systemic resilience emerged as a robust predictor (adjusted <em>R</em>^<em>2</em> = 24.4%, p = 0.002). This trend persisted into the endemic phase of 2024, where systemic resilience maintained a significant, albeit weaker, association (p = 0.032). Out-of-sample validation confirmed these findings: the Core BFW Model showed the highest forecast accuracy in 2020, whereas the Baseline Model demonstrated superior performance during the chronic phase of 2022. These results suggest that while technical biosecurity is critical during an initial shock, its influence is eventually superseded by overall systemic resilience. Consequently, future pandemic preparedness strategies must focus not only on static technical checklists but also on holistic approaches that enhance a nation’s ability to adapt to prolonged crises.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"8 1","pages":"Pages 45-55"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147612154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}