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Harnessing Machine Learning for Agnostic Biodetection. 利用机器学习进行不可知论生物检测。
IF 2.1 4区 医学
Health Security Pub Date : 2025-05-30 DOI: 10.1089/hs.2024.0075
Sarah H Sandholtz, Camilo Valdes, Nisha Mulakken, Marisa W Torres, Aram Avila-Herrera, Jeffrey A Drocco, Jose Manuel Martí, Jonathan E Allen, Uttara Tipnis, Crystal J Jaing, Nicholas A Be
{"title":"Harnessing Machine Learning for Agnostic Biodetection.","authors":"Sarah H Sandholtz, Camilo Valdes, Nisha Mulakken, Marisa W Torres, Aram Avila-Herrera, Jeffrey A Drocco, Jose Manuel Martí, Jonathan E Allen, Uttara Tipnis, Crystal J Jaing, Nicholas A Be","doi":"10.1089/hs.2024.0075","DOIUrl":"https://doi.org/10.1089/hs.2024.0075","url":null,"abstract":"<p><p>The United States' current list-based approach to biodefense is limited because it considers only known biological agents. Alternatively, developing and adopting a system based on agent-agnostic signatures would enable detection and characterization of both known and novel agents, thereby engendering greater adaptability in the face of an evolving threat landscape. Machine learning (ML) could aid in such a transition, as it can recognize and encode highly complex patterns from multiple input data modalities and has already demonstrated success in many healthcare and defense applications. Functionalizing ML for environmental biodetection requires understanding current technical capabilities. In this article, we provide a systematic review of existing ML platforms and discuss anticipated development efforts needed to achieve effective ML-enabled, agnostic biodetection.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144180602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mapping the Cyberthreat Landscape in Healthcare Using GDELT: A Multimethod Approach. 使用GDELT映射医疗保健中的网络威胁环境:一种多方法方法。
IF 2.1 4区 医学
Health Security Pub Date : 2025-05-16 DOI: 10.1089/hs.2024.0016
Anna Piazza, Srinidhi Vasudevan
{"title":"Mapping the Cyberthreat Landscape in Healthcare Using GDELT: A Multimethod Approach.","authors":"Anna Piazza, Srinidhi Vasudevan","doi":"10.1089/hs.2024.0016","DOIUrl":"https://doi.org/10.1089/hs.2024.0016","url":null,"abstract":"<p><p>Cyberattacks that target critical national infrastructure, such as hospitals, pose a significant threat to the safety and wellbeing of individuals, as evidenced by incidents like the WannaCry worldwide ransomware attack. To better understand vulnerabilities within the healthcare sector and develop preventive measures, it is crucial to examine the evolving nature of cyberthreats and the types of attacks occurring. In this article, we describe a multimethod approach comprising social networks analysis, natural language processing, and machine learning, using data from GDELT (Global Database of Events, Language, and Tone), to identify the prevalence of attacks on hospitals while considering the type of attack and its date. Through this approach, meaningful patterns in the evolution of cyberattacks are revealed by analyzing the relationships between emerging cyberattacks mentioned in news reports. Findings show that the number of attacks from 2017 to 2023 increased substantially, with hospitals being more prone to critical attacks such as cyberterrorism/state actor-sponsored criminal activities, advanced persistent threats, and distributed denial of service. Mapping real-time data from diverse sources using a multimethod approach, such as the framework proposed in this article, can lead to better understanding of the threat landscape. This is a crucial step in determining necessary cyberdefenses and informing the development of policy interventions to ensure the cybersecurity of critical national infrastructure.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing the Revision of the States Parties Self-Assessment Annual Reporting Tool: Developing a Solution for an Historical Analysis of Compliance. 评估缔约国自我评估年度报告工具的修订:为合规历史分析制定解决方案。
IF 2.1 4区 医学
Health Security Pub Date : 2025-05-15 DOI: 10.1089/hs.2023.0187
Alexander G Linder, Chengyi Zhao, Brian K Samuelson, Claire J Standley, Erin M Sorrell
{"title":"Assessing the Revision of the States Parties Self-Assessment Annual Reporting Tool: Developing a Solution for an Historical Analysis of Compliance.","authors":"Alexander G Linder, Chengyi Zhao, Brian K Samuelson, Claire J Standley, Erin M Sorrell","doi":"10.1089/hs.2023.0187","DOIUrl":"https://doi.org/10.1089/hs.2023.0187","url":null,"abstract":"<p><p>The International Health Regulations (2005) (IHR) Monitoring and Evaluation Framework is designed to assist States Parties in assessing progress toward compliance and sustainable capacities under the IHR. The States Parties Self-Assessment Annual Report (SPAR) is the only mandatory tool in the 4-component framework. The current SPAR is the third version of the tool since its inception in 2010. The revisions, while reflecting evolving requirements for health security capacity under the IHR, hinder the ability to compare capacity scores between versions and prevent analysis of historical data. In this article, we describe a methodology that aligns capacities across the 3 versions of the tool by creating umbrella terms for common themes that can be adapted or applied to any future SPAR changes, providing a sustainable framework for ongoing assessment and analysis. Our methodology enables States Parties, policymakers, and other stakeholders to view and assess country capacity across the history of self-assessment. Mapping by common themes allows for a historical understanding of national, regional, and global efforts to strengthen health security capacity.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Not Ready: The Need for a Training Standard in Healthcare Emergency Preparedness. 未准备好:医疗应急准备培训标准的需要。
IF 2.1 4区 医学
Health Security Pub Date : 2025-05-14 DOI: 10.1089/hs.2024.0086
Patrina White, Florence Di Benedetto, Keith Hansen, Sharon Medcalf, Rachel Lookadoo
{"title":"Not Ready: The Need for a Training Standard in Healthcare Emergency Preparedness.","authors":"Patrina White, Florence Di Benedetto, Keith Hansen, Sharon Medcalf, Rachel Lookadoo","doi":"10.1089/hs.2024.0086","DOIUrl":"https://doi.org/10.1089/hs.2024.0086","url":null,"abstract":"<p><p>Natural and human-induced disasters are increasing, which affects public health and safety in many ways including disruption of healthcare. Emergency preparedness mitigates the impacts of these disasters and training improves preparedness. However, no standard for training emergency managers exists. This study aimed to explore the state of US healthcare preparedness and the impact of training on preparedness and proposes a training standard for healthcare emergency managers. Mixed methods research was conducted to understand different aspects of training, inform the design of a training standard, and explore potential barriers. The first phase included a quantitative survey with 67 participants who responded to questions about training topics, quantity, and delivery format. In the second qualitative phase, 5 focus groups with 29 participants were conducted to deepen the understanding of survey results and collect information about training topics, barriers to adopting a standard, and recommendations for overcoming barriers. Ten training topics, for a quantity of 11 hours or more per topic, were identified in the quantitative phase and reinforced in the qualitative phase. In-person training was preferred for all but 3 topics, where online synchronous delivery was preferred. Other aspects of training were further explored, and the concept of a basic versus advanced training standard emerged as a major theme. Barriers to training included financial support and time to attend training as well as gaps in leadership knowledge and support. While training is key to improved healthcare emergency preparedness, variation in training exists. This study recommends a standard in healthcare emergency manager training.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144077743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
High-Consequence Infectious Disease Patient Transport Concept of Operations for US Department of Health and Human Services Region 2. 美国卫生与公众服务部高后果传染病病人转运概念
IF 2.1 4区 医学
Health Security Pub Date : 2025-05-08 DOI: 10.1089/hs.2024.0077
Anthony J Lo Piccolo, Andrew B Wallach, Jory Guttsman, Laura Hillard, Melissa Cairo, Nang Thu Thu Kyaw, Mary Foote, Vikramjit Mukherjee
{"title":"High-Consequence Infectious Disease Patient Transport Concept of Operations for US Department of Health and Human Services Region 2.","authors":"Anthony J Lo Piccolo, Andrew B Wallach, Jory Guttsman, Laura Hillard, Melissa Cairo, Nang Thu Thu Kyaw, Mary Foote, Vikramjit Mukherjee","doi":"10.1089/hs.2024.0077","DOIUrl":"https://doi.org/10.1089/hs.2024.0077","url":null,"abstract":"<p><p>New York City has been the epicenter of multiple recent infectious disease outbreaks, including COVID-19 and mpox, due to its position as one of the largest international travel hubs in the United States. In response to the imperative need to transport patients to specialized biocontainment units during high-consequence infectious disease outbreaks, the Health and Human Services Region 2 Regional Emerging Special Pathogen Treatment Center at New York City Health + Hospitals/Bellevue and the NYC Department of Health and Mental Hygiene spearheaded a comprehensive patient transport system. Informed by real-world experiences, quarterly drills, and regional partner engagement, the updated Region 2 patient transport concept of operations (CONOPS) ensures safe and seamless patient transfers. This article elucidates key components of the patient transport CONOPS, the multifaceted partner engagement approach used to develop it, and the collaborative workshop that fine-tuned the plan. Organizational skills, partner engagement, and adaptability were all necessary for refining and operationalizing a robust patient transport CONOPS. The finalization of this plan speaks to the collaborative spirit and commitment of regional leaders to ensure the effective management of high-consequence infectious disease outbreaks and the safeguarding of public health within Region 2 and beyond.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emergency Legal Preparedness and Response: United States Supreme Court Impacts. 紧急法律准备和反应:美国最高法院的影响。
IF 2.1 4区 医学
Health Security Pub Date : 2025-04-25 DOI: 10.1089/hs.2024.0084
James G Hodge, Jennifer L Piatt
{"title":"Emergency Legal Preparedness and Response: United States Supreme Court Impacts.","authors":"James G Hodge, Jennifer L Piatt","doi":"10.1089/hs.2024.0084","DOIUrl":"https://doi.org/10.1089/hs.2024.0084","url":null,"abstract":"<p><p>US Supreme Court opinions from the inception of the COVID-19 pandemic to date are reshaping national and subnational abilities to respond to public health emergencies. Substantial impacts in emergency legal preparedness and response arise in multiple legal areas including: (1) federal executive authorities; (2) access to health services and emergency care; (3) public health emergency interventions and mandates; (4) race-based limitations in resource allocations; (5) misinformation; and (6) scope of liability during and after emergencies. Against this backdrop an array of legal options and critical takeaways may help mitigate the impacts of US Supreme Court opinions and advance effective emergency responses ahead.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143990344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Now Is the Time to Update Emergency Response Plans. 现在是更新应急响应计划的时候了。
IF 2.1 4区 医学
Health Security Pub Date : 2025-04-24 DOI: 10.1089/hs.2025.0073
Lisa M Koonin
{"title":"Now Is the Time to Update Emergency Response Plans.","authors":"Lisa M Koonin","doi":"10.1089/hs.2025.0073","DOIUrl":"https://doi.org/10.1089/hs.2025.0073","url":null,"abstract":"","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development and Implementation of Rapid Discharge Plan in a Municipal Healthcare System. 市级医疗系统快速出院计划的制定与实施。
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-02-27 DOI: 10.1089/hs.2024.0096
Ryan M Leone, Laura G Iavicoli, David M Silvestri, R James Salway
{"title":"Development and Implementation of Rapid Discharge Plan in a Municipal Healthcare System.","authors":"Ryan M Leone, Laura G Iavicoli, David M Silvestri, R James Salway","doi":"10.1089/hs.2024.0096","DOIUrl":"10.1089/hs.2024.0096","url":null,"abstract":"<p><p>When patient demand exceeds hospital capacity in certain scenarios, such as natural disasters, terrorist attacks, or staffing shortages, the rapid discharge of patients identified through reverse triage methodologies can create surge capacity. The evaluation of this concept has been documented in numerous resources and studies, but current tools tend to be extensive and siloed, which may make them difficult to use during emergencies. To prepare the largest municipal healthcare system in the United States for situations requiring rapid patient discharge, NYC Health + Hospitals/Central Office Emergency Management sought to develop a short, synthesized, and user-friendly plan. After consulting experts and reviewing existing peer-reviewed articles, gray literature, and internal facility documents, the team created a 7-page rapid action checklist that synthesizes important content. The Risk-based, Abbreviated, Patient Identification Discharge (RAPID) tool was successfully used during a resident labor action in May 2023, illustrating that its utility may extend beyond the system in which it was used. Future work should be done to validate and improve upon this tool.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"110-115"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Examining COVID-19 Vaccine Hesitancy in Nairobi, Kenya, Using the Modified 5 Cs Model. 使用修改后的 5 Cs 模型研究肯尼亚内罗毕的 COVID-19 疫苗犹豫不决问题。
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1089/hs.2024.0049
Christine Crudo Blackburn, Leila H Abdullahi, Tim Callaghan, Brian Colwell, Tasmiah Nuzhath, Jessica Hernandez
{"title":"Examining COVID-19 Vaccine Hesitancy in Nairobi, Kenya, Using the Modified 5 Cs Model.","authors":"Christine Crudo Blackburn, Leila H Abdullahi, Tim Callaghan, Brian Colwell, Tasmiah Nuzhath, Jessica Hernandez","doi":"10.1089/hs.2024.0049","DOIUrl":"10.1089/hs.2024.0049","url":null,"abstract":"<p><p>In this study, we identify facilitators and barriers to COVID-19 vaccination in Nairobi, Kenya, using the modified 5 Cs model for vaccine hesitancy. We conducted 33 in-person interviews in Nairobi, Kenya. Participants were recruited using convenience sampling by a member of the research team who resides in Nairobi and speaks Swahili. Interviews were audio recorded and transcripts were analyzed using thematic analysis. The modified 5 Cs model for vaccine hesitancy was applied to create a codebook prior to analysis. Participants cited misinformation, lack of trust in the science behind the vaccine, and concerns about side effects as reasons for not receiving the COVID-19 vaccine. Facilitators for choosing to receive the vaccination included concerns about the severity of COVID-19, vaccination requirements for school and employment, and communication from the government. This study is the first to organize facilitators and barriers to COVID-19 vaccine uptake in Kenya using the 5 Cs model of vaccine hesitancy. Our findings suggest that to improve vaccine uptake in Kenya, interventions should inform the public about the vaccine's safety and reduce misinformation.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"102-109"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of Antibiotic-Resistant Airborne Bacteria in Restaurant Environments in Riyadh City. 利雅得市餐馆环境中空气中耐药细菌的检测
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-02-27 DOI: 10.1089/hs.2024.0046
Basel Aldosary, Hichem Chouayekh, Alhanouf Alkhammash, Wasayf Aljuaydi, Gabr El-Kot, Adel Alhotan, Walid Aljarbou, Aiydh Alshehri
{"title":"Detection of Antibiotic-Resistant Airborne Bacteria in Restaurant Environments in Riyadh City.","authors":"Basel Aldosary, Hichem Chouayekh, Alhanouf Alkhammash, Wasayf Aljuaydi, Gabr El-Kot, Adel Alhotan, Walid Aljarbou, Aiydh Alshehri","doi":"10.1089/hs.2024.0046","DOIUrl":"10.1089/hs.2024.0046","url":null,"abstract":"<p><p>The spread of bacteria that cause illness is a critical problem facing the restaurant industry worldwide. These bacteria can proliferate in various restaurants areas through airborne transmission mechanisms, increasing the risk of food contamination. In this study, our aim was to detect the presence of potential foodborne pathogenic bacteria-<i>Escherichia coli</i>, <i>Staphylococcus aureus</i>, and aerobic bacteria-in aerosols of different restaurants zones in Riyadh city in the Kingdom of Saudi Arabia. We focused on 3 important zones: preparation (Zone A), food packaging (Zone B), and handwashing (Zone C). The bacteria of interest were isolated, identified, and characterized by using selective media, biochemical, and antibiotic susceptibility tests. The results showed that all 40 of the studied restaurants were contaminated with aerobic bacteria, with a total count of 3,978 colony-forming units (CFU) in Zone C, 1,323 in Zone B, and 525 in Zone A. <i>E coli</i> was identified as the most prevalent illness-causing bacteria in Zone A-derived aerosols (721 CFU), while <i>S aureus</i> had the highest occurrence in aerosols in Zone C (528 CFU). Pertaining to the antibiotic resistance phenotype of assessed isolates, our findings revealed that Zone C-derived <i>E coli</i> isolates showed resistance ranging from 25% to 100% toward 8 of the 15 tested antibiotics. <i>S aureus</i> isolates originating from Zone B exhibited between 25% and 75% resistance to 2 antibiotics, while isolates from Zone C showed resistance ranging from 5.88% to 47.05% to 4 antibiotics. Findings from this study illustrate that restaurants' aerosols are highly contaminated with different antibiotic-resistant bacteria, which increases the risk of food poisoning and threats food security.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"94-101"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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