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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 : 2025-05-01 Epub 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":"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":"186-197"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","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
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 : 2025-05-01 Epub 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":"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":"155-168"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","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
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 : 2025-05-01 Epub 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":"10.1089/hs.2025.0073","url":null,"abstract":"","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"215-216"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","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
Hospital Preparedness for Conducting Clinical Research During a Pandemic: A Nationwide Survey Among Designated Medical Institutions for Infectious Diseases in Japan. 大流行期间医院开展临床研究的准备情况:日本全国传染病指定医疗机构调查。
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1089/hs.2024.0044
Kazuaki Jindai, Hiroki Saito, Eriko Morino, Ryota Hase, Masaya Yamato, Miwa Sonoda, Taro Shibata, Tatsuo Iiyama
{"title":"Hospital Preparedness for Conducting Clinical Research During a Pandemic: A Nationwide Survey Among Designated Medical Institutions for Infectious Diseases in Japan.","authors":"Kazuaki Jindai, Hiroki Saito, Eriko Morino, Ryota Hase, Masaya Yamato, Miwa Sonoda, Taro Shibata, Tatsuo Iiyama","doi":"10.1089/hs.2024.0044","DOIUrl":"10.1089/hs.2024.0044","url":null,"abstract":"<p><p>In Japan, the Infectious Disease Control Law designates certain institutions across the country as medical institutions for infectious diseases, with the role to respond to and prepare for epidemic or pandemic infections. Since the early stages of the COVID-19 pandemic, these designated medical institutions have provided clinical care to patients with COVID-19. While these institutions primarily handle clinical care, they are also well poised to conduct rigorous clinical research that is needed to address future health emergencies. The COVID-19 pandemic highlighted the importance of clinical research as a medical countermeasure through its role in the development of effective novel vaccines and therapeutics. Under the Japanese system, designated medical institutions that cared for patients with COVID-19 had the privilege to access the earliest cases and were uniquely positioned to contribute to scientific evidence. Based on this understanding, we conducted a nationwide survey and analyzed data from 100 designated medical institutions to better understand their experiences and involvement in clinical research during the COVID-19 pandemic and their readiness and willingness to conduct clinical research in a future health emergency. While quite a few institutions showed willingness to participate in infectious disease research in the event of a future health emergency, it was evident that many would require additional expertise and financial support to facilitate such research. Our analysis suggests that further capacity development, empowerment for clinical research, and a strong collaborative network across stakeholders are required to improve pandemic response and preparedness in Japan.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"82-93"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537024","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
Assessment of Training Needs on Biorisk Management for Medical and Veterinary Laboratory Staff in Vietnam: A Survey in 13 Provinces. 越南医学和兽医实验室工作人员生物风险管理培训需求评估:对13个省的调查
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-04-02 DOI: 10.1089/hs.2024.0039
Phuc Pham Duc, Le Thanh Hai, Pham Dieu Quynh, Nguyen Manh Hung, Dinh Xuan Tung, Kavitha Misra, Le Thi Thanh Xuan, Hai-Thanh Pham
{"title":"Assessment of Training Needs on Biorisk Management for Medical and Veterinary Laboratory Staff in Vietnam: A Survey in 13 Provinces.","authors":"Phuc Pham Duc, Le Thanh Hai, Pham Dieu Quynh, Nguyen Manh Hung, Dinh Xuan Tung, Kavitha Misra, Le Thi Thanh Xuan, Hai-Thanh Pham","doi":"10.1089/hs.2024.0039","DOIUrl":"10.1089/hs.2024.0039","url":null,"abstract":"<p><p>The study team conducted a cross-sectional study among medical laboratory staff (MLS) and veterinary laboratory staff (VLS) employed in laboratories affiliated in Vietnam to assess the current biorisk management (BRM) training situation and to identify MLS and VLS training needs. A total of 283 laboratory staff members, comprising 168 MLS and 115 VLS, completed the questionnaire. Over two-thirds (68.7%) of the respondents possessed more than 5 years of laboratory experience, with 71.4% operating within high levels of laboratory biosafety. Results showed that more MLS had undergone BRM training, but higher scores were observed for VLS in terms of addressing their organizational reputation and other types of biorisk within their biorisk system. Training needs on BRM among both MLS and VLS were confirmed to be high across all BRM areas measured, with most respondents expressing the need for training or retraining. The study underscores the necessity to enhance both the quantity and quality of BRM training in Vietnam. Consequently, it strongly advocates for the development of a standardized national training program on BRM, aimed at ensuring the effectiveness of training activities.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"124-135"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772228","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
A Key Element of the BARDA Emerging Infectious Diseases Strategy. BARDA 新发传染病战略的关键要素。
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1089/hs.2025.0029
Hinpetch Daungsupawong, Viroj Wiwanitkit
{"title":"A Key Element of the BARDA Emerging Infectious Diseases Strategy.","authors":"Hinpetch Daungsupawong, Viroj Wiwanitkit","doi":"10.1089/hs.2025.0029","DOIUrl":"10.1089/hs.2025.0029","url":null,"abstract":"","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"145-146"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537009","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
Healthcare Provider Strike Preparedness and Response: Lessons Learned From Physician Strikes in New York City. 医疗保健提供者罢工准备和应对:从纽约市医生罢工中吸取的教训。
IF 2.1 4区 医学
Health Security Pub Date : 2025-03-01 Epub Date: 2025-03-03 DOI: 10.1089/hs.2024.0095
Ryan M Leone, R James Salway, David M Silvestri, Laura G Iavicoli
{"title":"Healthcare Provider Strike Preparedness and Response: Lessons Learned From Physician Strikes in New York City.","authors":"Ryan M Leone, R James Salway, David M Silvestri, Laura G Iavicoli","doi":"10.1089/hs.2024.0095","DOIUrl":"10.1089/hs.2024.0095","url":null,"abstract":"<p><p>Labor actions by healthcare workers are increasing in frequency and quantity, particularly throughout the United States. Regardless of their cause and size, these strikes could disrupt normal hospital operations and impact patient access to care, quality of care, and costs. Strikes resemble other large-scale incidents like natural disasters, pandemics, or terrorist attacks by shrinking a hospital's capacity to care for patients, forcing hospitals to pursue logistically complicated actions such as finding replacement providers, and impacting nearby facilities due to patient offloading. In contrast to these incidents, however, strikes are unique because they come with advance notice, reduce capacity by precise amounts with predictable provider losses, occur during defined periods, and do not necessarily increase demand for patient care. To maximize efficiency and minimize disruption in response to strikes, hospitals must properly plan ahead and successfully execute their plans. In this article, we recount the experience of a 2023 resident strike at NYC Health + Hospitals/Elmhurst in New York City and describe 6 core strategies that the facility implemented to maintain quality care: strike aversion and planning, increasing coverage, decreasing demand, internal and external messaging, external partnerships, and demobilization. We also provide a planning template that other hospitals can use to prepare for and respond to healthcare provider strikes. The information in this article was first presented as a poster, \"Healthcare Labor Action Preparedness and Response\" at the Preparedness Summit, March 25-28, 2024, in Cleveland, Ohio.</p>","PeriodicalId":12955,"journal":{"name":"Health Security","volume":" ","pages":"116-123"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537019","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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