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1.
Euro Surveill ; 29(9)2024 Feb.
Article in English | MEDLINE | ID: mdl-38426241

ABSTRACT

We report on an ongoing measles outbreak in the Federation of Bosnia and Herzegovina with 141 cases notified between week 52 2023 and week 6 2024. Among those with known vaccination status, 97% were unvaccinated and the most affected group is children under the age of 5 years (n = 87) who were not vaccinated during the pandemic years. Sixty-eight cases were hospitalised, the most common complications were measles-related pneumonia and diarrhoea. The sequenced measles viruses from four cases belonged to genotype D8.


Subject(s)
Exanthema , Measles , Child , Humans , Child, Preschool , Vaccination , Bosnia and Herzegovina/epidemiology , Measles/epidemiology , Measles/prevention & control , Measles virus/genetics , Disease Outbreaks/prevention & control
2.
Wiad Lek ; 77(1): 94-104, 2024.
Article in English | MEDLINE | ID: mdl-38431813

ABSTRACT

OBJECTIVE: Aim: The research is aimed to study certain aspects and experience of functioning of the Ukrainian Public Healthcare public management mechanisms during an outbreak of the acute respiratory disease COVID19. PATIENTS AND METHODS: Materials and Methods: The studied materials include personal observations and accumulated practical material, as well as generalization of the collected data and their empirical treatment, conducted by the scientists, according to the present legislation requirements. The study was held using general scientific methods, including observation, description of results, specification and statistical data generalization. CONCLUSION: Conclusions: Generalization, arrangement and analysis of the Ukrainian experience of the Public Healthcare public management during the outbreak of the acute respiratory disease COVID19, provides exchange of experience between all subjects of the process. This helps to produce certain practical decisions, aimed at effective responding of the state healthcare system onto management of the COVID19 outbreak. Such activities are also directed at detection of flaws in the whole system, with their subsequent correction, and elimination or neutralization of possible negative outcomes. To adopt the priority activity directions within public relations, which make the subject of the study, the authors have studied a complex of activities against spread of the COVID19 in 2019-2020. These activities include issues, related to prompt responding onto the infection spread and approving quick professional decisions; fulfilling epidemiological supervision and introducing anti-epidemic activities; providing diagnostics, and accessibility of the safe and high-quality vaccine.


Subject(s)
COVID-19 , Physicians , Humans , COVID-19/epidemiology , Ukraine/epidemiology , Delivery of Health Care , Disease Outbreaks/prevention & control
3.
PeerJ ; 12: e16998, 2024.
Article in English | MEDLINE | ID: mdl-38436010

ABSTRACT

Total ring depopulation is sometimes used as a management strategy for emerging infectious diseases in livestock, which raises ethical concerns regarding the potential slaughter of large numbers of healthy animals. We evaluated a farm-density-based ring culling strategy to control foot-and-mouth disease (FMD) in the United Kingdom (UK), which may allow for some farms within rings around infected premises (IPs) to escape depopulation. We simulated this reduced farm density, or "target density", strategy using a spatially-explicit, stochastic, state-transition algorithm. We modeled FMD spread in four counties in the UK that have different farm demographics, using 740,000 simulations in a full-factorial analysis of epidemic impact measures (i.e., culled animals, culled farms, and epidemic length) and cull strategy parameters (i.e., target farm density, daily farm cull capacity, and cull radius). All of the cull strategy parameters listed above were drivers of epidemic impact. Our simulated target density strategy was usually more effective at combatting FMD compared with traditional total ring depopulation when considering mean culled animals and culled farms and was especially effective when daily farm cull capacity was low. The differences in epidemic impact measures among the counties are likely driven by farm demography, especially differences in cattle and farm density. To prevent over-culling and the associated economic, organizational, ethical, and psychological impacts, the target density strategy may be worth considering in decision-making processes for future control of FMD and other diseases.


Subject(s)
Communicable Diseases, Emerging , Epidemics , Foot-and-Mouth Disease , Animals , Cattle , Foot-and-Mouth Disease/epidemiology , Disease Outbreaks/prevention & control , Epidemics/prevention & control , Algorithms
4.
Mol Biol Rep ; 51(1): 375, 2024 Mar 01.
Article in English | MEDLINE | ID: mdl-38427097

ABSTRACT

BACKGROUND: Chikungunya virus (CHIKV) is an arbovirus from the Togaviridae family which has four genotypes: West African (WA), East/Central/South African (ECSA) and Asian/Caribbean lineage (AL) and Indian Ocean Lineage (IOL). The ECSA genotype was first registered in Brazil in Feira de Santana and spread to all Brazilian regions. This study reports the characterization of CHIKV isolates recovered from sera samples of fifty patients from seventeen cities in Maranhão, a state from Brazilian northeast region and part of the Legal Amazon area. METHODS AND RESULTS: Primers were developed to amplify the partial regions coding structural proteins (E1, E3, E2, 6 K, and Capsid C). The consensus sequences have 2871 bp, covering approximately 24% of the genome. The isolates were highly similar (> 99%) to the ECSA isolate from Feira de Santana (BHI3734/H804698), presenting 30 non-synonymous mutations in E1 (5.95%), 18 in E2 (4.46%), and 1 in E3 (3.03%), taking the BHI3734/H804698 isolate as standard. Although the mutations described have not previously been related to increased infectivity or transmissibility of CHIKV, in silico analysis showed changes in physicochemical characteristics, antigenicity, and B cell epitopes of E1 and E2. CONCLUSIONS: These findings demonstrate the importance of molecular approaches for monitoring the viral adaptations undergone by CHIKV and its geographic distribution.


Subject(s)
Chikungunya Fever , Chikungunya virus , Humans , Chikungunya virus/genetics , Chikungunya Fever/epidemiology , Brazil , Disease Outbreaks , Phylogeny , Genotype
5.
Int J Emerg Med ; 17(1): 31, 2024 Mar 01.
Article in English | MEDLINE | ID: mdl-38429663

ABSTRACT

Preparedness to endure extreme situations such as natural disasters or military conflicts is not commonplace in healthcare training programs. Moreover, multidisciplinary teams in health services rarely (if ever) include experts in security. However, when emergency situations occur, prevailing healthcare demands do not cease to exist, and unexpected demands often surge due to the shortage of other services and supplies or as a consequence of the emergency condition itself.With services in 45 countries, AIDS Healthcare Foundation (AHF) has operated in several conflict zones, facing broad and challenging security demands. Since 2017 AHF has implemented the Global Department of Safety and Security (GDSS), a dedicated intelligence and safety program that had a key role in the security monitoring, preparedness, and defense responses, assisting staff members and clients during recent conflicts.In this manuscript, we describe the experience of AHF's GDSS in three recent military conflicts in Ethiopia, Myanmar, and Ukraine, and provide insights into steps that can be taken to assure staff safety and support the mission of caring for patients throughout catastrophic events.

6.
Qatar Med J ; 2024(1): 10, 2024.
Article in English | MEDLINE | ID: mdl-38468606

ABSTRACT

INTRODUCTION: This study aimed to retrospectively analyze patients who presented to the orthopedic and traumatology clinic following the 2023 Kahramanmaras earthquakes. PATIENTS AND METHODS: Over a week after the earthquakes, two hundred and sixty patients were consulted at our clinic. Demographic data of the patients, duration of being under the rubble, fracture locations, types of surgeries performed, number of surgical sessions attended by individuals, and early mortality rate within one month were determined. RESULTS: The mean age of the patients was 40.2 ± 22.4 years. One hundred thirty-eight (53.1%) were female, and 122 (46.9%) were male. The average duration of being under the rubble was determined as 27.1 ± 28.0 hours. Sixteen patients died within one month after the earthquake. The one-month mortality rate among patients with orthopedic injuries was 6.15%. Forty-seven fasciotomies were performed in 35 patients, and 22 amputations were performed in 19 patients. The most injured region was the lower extremity (78 cases, 40%). The ratio of external and internal fixation in extremity fractures was 22%. CONCLUSIONS: The management of musculoskeletal injuries can be successful with proper triage and treatment plans. Decisions regarding fasciotomy and amputation in patients with crush syndrome following an earthquake should be individualized. Implant sets should be planned accordingly, especially considering the higher occurrence of lower extremity injuries.

7.
Indian Pediatr ; 61(3): 277-280, 2024 Mar 15.
Article in English | MEDLINE | ID: mdl-38469846

ABSTRACT

Children face unique risks resulting from disasters and conflicts. Broadly, complex emergencies create new and augment existing health risks to children. Direct, conflict-related injuries and deaths - such as those resulting from exposure to chemical weapons and blast injuries - not only have immediate impact but also have long-term impacts on the health and wellbeing of children. Lapses in vaccination coverage, changes in vector patterns, and widespread malnutrition, contribute to new and re-emerging infectious diseases among children. Understanding risks resulting from disasters and conflicts is critical for implementing timely and appropriate public health programs to reduce the negative health effects on children.


Subject(s)
Disasters , Malnutrition , Resilience, Psychological , Child , Humans , Child Health , Public Health
8.
MMWR Surveill Summ ; 73(1): 1-23, 2024 Mar 14.
Article in English | MEDLINE | ID: mdl-38470836

ABSTRACT

Problem/Condition: Public health agencies in U.S. states, territories, and freely associated states investigate and voluntarily report waterborne disease outbreaks to CDC through the National Outbreak Reporting System (NORS). This report summarizes NORS drinking water outbreak epidemiologic, laboratory, and environmental data, including data for both public and private drinking water systems. The report presents outbreak-contributing factors (i.e., practices and factors that lead to outbreaks) and, for the first time, categorizes outbreaks as biofilm pathogen or enteric illness associated. Period Covered: 2015-2020. Description of System: CDC launched NORS in 2009 as a web-based platform into which public health departments voluntarily enter outbreak information. Through NORS, CDC collects reports of enteric disease outbreaks caused by bacterial, viral, parasitic, chemical, toxin, and unknown agents as well as foodborne and waterborne outbreaks of nonenteric disease. Data provided by NORS users, when known, for drinking water outbreaks include 1) the number of cases, hospitalizations, and deaths; 2) the etiologic agent (confirmed or suspected); 3) the implicated type of water system (e.g., community or individual or private); 4) the setting of exposure (e.g., hospital or health care facility; hotel, motel, lodge, or inn; or private residence); and 5) relevant epidemiologic and environmental data needed to describe the outbreak and characterize contributing factors. Results: During 2015-2020, public health officials from 28 states voluntarily reported 214 outbreaks associated with drinking water and 454 contributing factor types. The reported etiologies included 187 (87%) biofilm associated, 24 (11%) enteric illness associated, two (1%) unknown, and one (<1%) chemical or toxin. A total of 172 (80%) outbreaks were linked to water from public water systems, 22 (10%) to unknown water systems, 17 (8%) to individual or private systems, and two (0.9%) to other systems; one (0.5%) system type was not reported. Drinking water-associated outbreaks resulted in at least 2,140 cases of illness, 563 hospitalizations (26% of cases), and 88 deaths (4% of cases). Individual or private water systems were implicated in 944 (43%) cases, 52 (9%) hospitalizations, and 14 (16%) deaths.Enteric illness-associated pathogens were implicated in 1,299 (61%) of all illnesses, and 10 (2%) hospitalizations. No deaths were reported. Among these illnesses, three pathogens (norovirus, Shigella, and Campylobacter) or multiple etiologies including these pathogens resulted in 1,225 (94%) cases. The drinking water source was identified most often (n = 34; 7%) as the contributing factor in enteric disease outbreaks. When water source (e.g., groundwater) was known (n = 14), wells were identified in 13 (93%) of enteric disease outbreaks.Most biofilm-related outbreak reports implicated Legionella (n = 184; 98%); two nontuberculous mycobacteria (NTM) (1%) and one Pseudomonas (0.5%) outbreaks comprised the remaining. Legionella-associated outbreaks generally increased over the study period (14 in 2015, 31 in 2016, 30 in 2017, 34 in 2018, 33 in 2019, and 18 in 2020). The Legionella-associated outbreaks resulted in 786 (37%) of all illnesses, 544 (97%) hospitalizations, and 86 (98%) of all deaths. Legionella also was the outbreak etiology in 160 (92%) public water system outbreaks. Outbreak reports cited the premise or point of use location most frequently as the contributing factor for Legionella and other biofilm-associated pathogen outbreaks (n = 287; 63%). Legionella was reported to NORS in 2015 and 2019 as the cause of three outbreaks in private residences (2). Interpretation: The observed range of biofilm and enteric drinking water pathogen contributing factors illustrate the complexity of drinking water-related disease prevention and the need for water source-to-tap prevention strategies. Legionella-associated outbreaks have increased in number over time and were the leading cause of reported drinking water outbreaks, including hospitalizations and deaths. Enteric illness outbreaks primarily linked to wells represented approximately half the cases during this reporting period. This report enhances CDC efforts to estimate the U.S. illness and health care cost impacts of waterborne disease, which revealed that biofilm-related pathogens, NTM, and Legionella have emerged as the predominant causes of hospitalizations and deaths from waterborne- and drinking water-associated disease. Public Health Action: Public health departments, regulators, and drinking water partners can use these findings to identify emerging waterborne disease threats, guide outbreak response and prevention programs, and support drinking water regulatory efforts.


Subject(s)
Drinking Water , Legionella , Waterborne Diseases , Humans , United States/epidemiology , Water Microbiology , Disease Outbreaks , Water Supply , Population Surveillance
10.
Sci Total Environ ; : 171505, 2024 Mar 11.
Article in English | MEDLINE | ID: mdl-38479522

ABSTRACT

Current methods of dam breach analyses adopt a deterministic approach. Applying these methods to Concrete Faced Rockfill Dams (CFRD) is fraught with huge levels of uncertainty, especially in the context of natural hazards. The frequency and magnitude of rainfall and earthquakes are higher in today's world. In the literature, the complete collapse of dams is modelled on dam breach parameters that define the dam break outflow but are not related to the return periods of natural hazards. As more new dams are constructed to control the floods in intra-plate seismic regions, this study presents a novel approach to the derivation of generalized dam break parameters for CFRD based on the structural analysis of Finite Element Model (FEM) simulations for peak ground accelerations corresponding to 475 and 2475 year return periods. Furthermore, the occurrence of rainfall and earthquake for different return periods are modelled using 2D hydrodynamic simulations. Results show the significance of generalized dam breach parameters for planning and managing CFRDs during earthquakes. The study emphasizes the utilization of structural analysis outputs for the hydraulic modeling of dam breaks, which will result in more specific and accurate dam break parameters. Additionally, the study has shown that the flood risk and the severity will increase with the intensity of earthquake and rainfall magnitudes. Disaster mitigation strategies can be optimized by considering the integrated occurrence of rainfall and earthquakes based on the probability of occurrence, demonstrated using a case-study dam. Another significant outcome of the study is the effect of soil saturation condition during a dam break, which reveals that areas within 40 km of the dam breach location might be worst affected.

11.
Front Psychiatry ; 15: 1295977, 2024.
Article in English | MEDLINE | ID: mdl-38487575

ABSTRACT

Background: The prolonged stress experience caused by the COVID-19 pandemic and two earthquakes led to increased alcohol and psychoactive substance use (PSU) accompanied by a decrease in mental wellbeing and quality of life (QoL) in the Croatian population. Our aim was to determine the relationship between alcohol and PSU and mental health outcomes including anxiety and depression, and QoL. Methods: A cross-sectional online survey conducted from September 30 to October 27, 2021, included 1,118 Croatian adults (220 men and 898 women; mean age, 35.1 ± 12.3 years) recruited through non-probabilistic convenience sampling. The survey consisted of a self-reported questionnaire on PSU, the CAGE Alcohol Questionnaire, the Hospital Anxiety Depression Scale, and the World Health Organization Quality of Life (WHOQoL)-BREF. Structural equation modeling was used to evaluate the association between PSU, problematic alcohol use (PAU), mental health outcomes, and QoL. Results: The model demonstrated a good fit and indicated that PSU increase, PAU, and anxiety and depression symptoms significantly explained all QoL domains (p < 0.001 for all). Both PSU increase and PAU during prolonged stress were directly associated with decreased QoL. These relationships were also indirectly mediated through increased anxiety and depression symptoms. Conclusion: These results showed the need to direct public health interventions and treatment interventions during and after long-term stress (pandemics and earthquakes) to reduce the negative impact on substance use and QoL by reducing depression and anxiety, which ultimately may contribute to better wellbeing and rapid recovery of individuals affected by prolonged stress.

12.
Medwave ; 24(2): e2788, 2024 Mar 13.
Article in English, Spanish | MEDLINE | ID: mdl-38478765

ABSTRACT

On August 31, 2023, the Chilean government ended the health alert for COVID-19. This milestone invites us to reflect on lessons learned in emergency preparedness and response regarding migrant populations in the country. In this context, three perspectives are presented. The first focuses on avoiding pointing to individual responsibility for non-compliance with prevention measures, as this approach ignores structural and historical inequities. Emergency recommendations should be constructed considering a collective approach and diverse sociocultural and political contexts. The second perspective calls for considering and addressing migration as a social determinant of health. During the pandemic, changes in the governance of migration around the world made migration processes more precarious, with risks to the physical and mental health of migrants, which needs better planning and evidence-based decision-making in future pandemics. The third perspective focuses on promoting intercultural health, as effective communication of contagion risks and preventive measures were hampered among migrant populations with diverse worldviews and interpretations of health and disease processes. Responding to the needs of historically marginalized communities requires establishing ways of life that respect diversity in narratives and everyday practices. Governments and health systems must incorporate migration into their emergency preparedness and response strategies, creating the conditions for optimal compliance.


El 31 de agosto de 2023, el Gobierno de Chile puso fin a la alerta sanitaria por COVID-19. Este hito invita a reflexionar sobre lecciones aprendidas respecto a la preparación y respuesta ante emergencias, que sean sensibles e informadas sobre la experiencia de la población migrante de nuestro país. En este marco, se presentan tres perspectivas. La primera se centra en evitar la responsabilización individual en el incumplimiento de las medidas de prevención del contagio, ya que este enfoque ignora las inequidades estructurales e históricas. Las recomendaciones de emergencia se deben construir bajo un abordaje colectivo y con la consideración de los diversos contextos socioculturales y políticos. La segunda perspectiva llama a tomar en cuenta y abordar la migración como determinante social de la salud de la población en la preparación y respuesta ante emergencias. Durante la pandemia, los cambios en la gobernanza de la migración en todo el mundo precarizaron los procesos migratorios, con riesgos para la salud física y mental de las personas que migran. Esto requiere una mejor planificación y decisiones informadas en evidencia científica para futuras pandemias. La tercera perspectiva se enfoca en promover la interculturalidad, dado que la comunicación de los riesgos de contagio y de las medidas preventivas se vio dificultada entre poblaciones migrantes con diversas cosmovisiones e interpretaciones de los procesos de salud y enfermedad. Asimismo, el responder a las necesidades de aquellas comunidades históricamente marginadas, requiere establecer modos de vida que respeten la diversidad en las narrativas y las prácticas cotidianas. Los gobiernos y sistemas sanitarios deben incorporar la migración a sus estrategias de preparación y respuesta ante emergencias, con la construcción de las condiciones para su cumplimiento óptimo.


Subject(s)
COVID-19 , Disaster Planning , Transients and Migrants , Humans , Pandemics/prevention & control , Chile/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control
14.
Water Sci Technol ; 89(5): 1282-1296, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38483498

ABSTRACT

To address the lack of theoretical guidance for sponge city construction (SCC) in China, this study introduces a method to evaluate the available water volume (AWV) in urban watersheds. This evaluation is based on the water balance relationship, water volume, and ecological water demand (EWD). The Xi'an urban area was selected as a case study due to its water shortage and flooding issues. Results show monthly surface and subsurface AWV ranging between 53.06 and 53.98 million m3 and between 8,701.89 and 8,898.14 million m3, respectively. By maximizing the potential for surface AWV, an annual water supply of 527.75 million m3 could be provided, surpassing the annual artificial water consumption of 394.20 million m3, effectively addressing water scarcity. During the rainy season, implementing measures such as employing permeable paving materials, establishing wetlands and rainwater gardens, and constructing lakes and reservoirs can mitigate flooding caused by rainfall exceeding 32.8 mm. While the subsurface space in Xi'an holds significant potential for subsurface AWV utilization, revitalizing the ecological environment of subsurface water is crucial. Overall, the AWV theoretical framework offers a comprehensive solution to water shortage and flooding issues in the Xi'an urban area, serving as a vital theory for SCC.


Subject(s)
Floods , Lakes , China , Rain , Water
15.
PLoS One ; 19(3): e0299058, 2024.
Article in English | MEDLINE | ID: mdl-38470887

ABSTRACT

This study presents a surveillance system developed for early detection of forest fires. Deep learning is utilized for aerial detection of fires using images obtained from a camera mounted on a designed four-rotor Unmanned Aerial Vehicle (UAV). The object detection performance of YOLOv8 and YOLOv5 was examined for identifying forest fires, and a CNN-RCNN network was constructed to classify images as containing fire or not. Additionally, this classification approach was compared with the YOLOv8 classification. Onboard NVIDIA Jetson Nano, an embedded artificial intelligence computer, is used as hardware for real-time forest fire detection. Also, a ground station interface was developed to receive and display fire-related data. Thus, access to fire images and coordinate information was provided for targeted intervention in case of a fire. The UAV autonomously monitored the designated area and captured images continuously. Embedded deep learning algorithms on the Nano board enable the UAV to detect forest fires within its operational area. The detection methods produced the following results: 96% accuracy for YOLOv8 classification, 89% accuracy for YOLOv8n object detection, 96% accuracy for CNN-RCNN classification, and 89% accuracy for YOLOv5n object detection.


Subject(s)
Deep Learning , Wildfires , Artificial Intelligence , Unmanned Aerial Devices , Algorithms
16.
Sci Rep ; 14(1): 5973, 2024 03 12.
Article in English | MEDLINE | ID: mdl-38472283

ABSTRACT

Epidemic spreading on social networks with quenched connections is strongly influenced by dynamic correlations between connected nodes, posing theoretical challenges in predicting outbreaks of infectious diseases. The quenched connections introduce dynamic correlations, indicating that the infection of one node increases the likelihood of infection among its neighboring nodes. These dynamic correlations pose significant difficulties in developing comprehensive theories for threshold determination. Determining the precise epidemic threshold is pivotal for diseases control. In this study, we propose a general protocol for accurately determining epidemic thresholds by introducing a new set of fundamental conditions, where the number of connections between individuals of each type remains constant in the stationary state, and by devising a rescaling method for infection rates. Our general protocol is applicable to diverse epidemic models, regardless of the number of stages and transmission modes. To validate our protocol's effectiveness, we apply it to two widely recognized standard models, the susceptible-infected-recovered-susceptible model and the contact process model, both of which have eluded precise threshold determination using existing sophisticated theories. Our results offer essential tools to enhance disease control strategies and preparedness in an ever-evolving landscape of infectious diseases.


Subject(s)
Communicable Diseases , Epidemics , Humans , Communicable Diseases/epidemiology , Disease Outbreaks/prevention & control , Disease Susceptibility/epidemiology , Social Networking
17.
Nature ; 627(8003): 321-327, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38480963

ABSTRACT

Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle1-3 and current fire management practices4,5. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017-2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires6, we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle.


Subject(s)
Darkness , Droughts , Wildfires , Droughts/statistics & numerical data , Ecosystem , North America , Wildfires/statistics & numerical data
18.
J Coll Physicians Surg Pak ; 34(3): 364-367, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38462877

ABSTRACT

Nontuberculous Mycobacteria (NTM) commonly colonise municipal water supplies and cause healthcare-associated outbreaks. Although the infections are rare, they are associated with high mortality.  Aerosolization of NTM from colonised Heater cooler devices causes invasive infections in cardiac surgery patients. These units are widely used in open-chest heart surgery as an essential part of extracorporeal circulation but have been suggested as being a risk for infection.  Water disinfection as well as effective engineering-related mitigation strategies should be designed to decrease the burden of NTM in the hospital water supply. Key Words: Nontuberculous Mycobacteria, Heater cooler devices, Endocarditis, Water, Cardiothoracic surgeries.


Subject(s)
Cardiac Surgical Procedures , Nontuberculous Mycobacteria , Humans , Cardiac Surgical Procedures/adverse effects , Disinfection , Hospitals , Disease Outbreaks
19.
Disaster Med Public Health Prep ; 18: e45, 2024 Mar 11.
Article in English | MEDLINE | ID: mdl-38466322

ABSTRACT

OBJECTIVE: The Kahramanmaras earthquakes struck the north-eastern part of Türkiye and Syria on February 6, 2023. It is well known that timely coordination and provision of emergency medical care in the field is particularly important to save lives after earthquakes. This study aimed to identify the challenges faced by medical responders on the ground. METHODS: This exploratory-descriptive qualitative study was conducted in Hatay, the province most affected by the earthquakes. Data were collected through in-depth semi-structured interviews and field observations, and then analyzed using thematic analysis approach. RESULTS: The study was carried out with 15 first responders from the medical profession. The study revealed 9 themes of challenges faced by medical responders: providing safety and security, human resources management, meeting personal needs, recording data, communication, patient transport, burial procedures, psychological acumen, and logistical problems. Some problems were resolved after 72 h and some continued until day 7. CONCLUSIONS: Inadequate organization of volunteer health workers, communication breakdowns, and logistical problems are some of the main challenges. To address these issues, satellite phones and radio systems can be promoted, as well as disaster-resilient logistical planning and better coordination of volunteers.


Subject(s)
Disaster Planning , Disasters , Earthquakes , Humans , Turkey , Allied Health Personnel
20.
Article in English | MEDLINE | ID: mdl-38466385

ABSTRACT

Over the past two decades, oil spills have been one of the most serious ecological disasters, causing massive damage to the aquatic and terrestrial ecosystems as well as the socio-economy. In view of this situation, several methods have been developed and utilized to analyze oil samples. Among these methods, laser-induced fluorescence (LIF) technology has been widely used in oil spill detection due to its classification method, which is based on the fluorescence characteristics of chemical material in oil. This review systematically summarized the LIF technology from the perspective of excitation wavelength selection and the application of traditional and novel machine learning algorithms to fluorescence spectrum processing, both of which are critical for qualitative and quantitative analysis of oil spills. It can be seen that an appropriate excitation wavelength is indispensable for spectral discrimination due to different kinds of polycyclic aromatic hydrocarbons' (PAHs) compounds in petroleum products. By summarizing some articles related to LIF technology, we discuss the influence of the excitation wavelength on the accuracy of the oil spill detection model and proposed several suggestions on the selection of excitation wavelength. In addition, we introduced some traditional and novel machine learning (ML) algorithms and discussed the strengths and weaknesses of these algorithms and their applicable scenarios. With an appropriate excitation wavelength and data processing algorithm, it is believed that laser-induced fluorescence technology will become an efficient technique for real-time detection and analysis of oil spills.

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