Emergency Incidents Research Articles

Pre-hospital care for children: a descriptive study from Central Norway

BackgroundPre-hospital incidents involving pediatric and neonatal patients are infrequent, and clinical characteristics and care for these patients differ from the adult population. Lack of knowledge, guidelines, and experience can make pre-hospital pediatric care challenging, and there is limited research on the epidemiology and best practice of care for this population. We examined the pre-hospital pediatric population in the county of Sør-Trøndelag, Norway, to improve our understanding of this population in our region.MethodsWe conducted a retrospective observational cohort study of emergency incidents involving children under twelve years of age with dispatch of Emergency Medical Services (EMS) in Sør-Trøndelag between 2018 and 2022. Incidents and patient characteristics were extracted from the Emergency Medical Communication Center (EMCC) database. In addition, data on patient characteristics and interventions for more serious incidents seen by the Helicopter Emergency Medical Service (HEMS) were included from the database LABAS. We provided descriptive statistics and estimated population incidences using Poisson regression.ResultsThe catchment area of EMCC Sør-Trøndelag has a population of approximately 43,000 children under the age of twelve years. During the five-year study period, there were 7005 emergency calls concerning this patient population, representing 6% of all emergency calls (total no. 108,717). Of these, 3500 (50%) resulted in the dispatch of an ambulance and/or HEMS, yielding an annual incidence of EMS dispatches of 17 per 1000 children. The three most common primary medical problems were respiratory distress, altered consciousness, and trauma. Among the 309 HEMS patients, 131 (42%) received advanced interventions from the HEMS physician. Assisted ventilation was the most frequent intervention.ConclusionsPediatric and neonatal patients make up a small proportion of pre-hospital patient dispatches in Sør-Trøndelag. Consequently, each EMS provider infrequently encounters children in the pre-hospital environment, resulting in less experience with pediatric advanced medical interventions. This study identifies some clinical characteristics and interventions regarding pediatric and neonatal patients that have been pointed out as focus areas for pediatric pre-hospital research.

Artificial Intelligence in Radiology, Emergency, and Remote Healthcare: A Snapshot of Present and Future Applications

This paper critically examines artificial intelligence in the healthcare sector and aims to identify concrete points of challenges and business value propositions first in radiology and then across healthcare more broadly. It discusses current applications in radiology and future uses of AI in healthcare, focusing on three main areas: (i) emergency incidents handling, (ii) intensive care unit treatment and (iii) augmented telemedicine, to which emergency radiology is a critical success factor. Despite some risks and compliance issues that need to be taken care of, this paper clearly shows that AI has the potential (a) to reengineer the business processes of the healthcare sector, using AI-assisted radiology as a driver and (b) to improve the effectiveness of the healthcare system as well as (c) to increase the quality provision of healthcare services. Despite its slow adoption, AI-assisted healthcare can indeed offer business/operational solutions that benefit all healthcare stakeholders.

An integrated adaptive allocation model for unified optimization of conventional and unconventional water resources based on fairness and efficiency

Unconventional water (UW) use has pros and cons, presenting the challenge of matching water utilization with regional water use characteristics. This study proposed the concept of amount-centered adaptive water allocation and built an integrated adaptive allocation model that includes conventional water (CW) and UW adaptability. The model consists of two modules. The first module introduces the regional composite index and inequality index to match CW and UW allocation amount with the sub-region’s characteristics. The second module defines the efficiency of CW and UW allocation, employs the Zero-Sum Gains Data Envelopment Analysis to find the solution set with the highest efficiency on the Pareto front, and further modifies it to reach the optimal allocation efficiency. Then the proposed model was applied to Jiangsu Province, China. Empirical and comparative analyses of the 54 weighting plans proved the validity and practicability of the model. The results showed: (1) The model tallies with the principles of fairness and efficiency and reduces the spatial heterogeneity of water shortage risk; (2) When available water supply decreases by over 20% due to future water-related emergency incidents, CW allocation would first reach its upper limit, while UW fails to effectively bridge the supply–demand gap; (3) Only by improving the maximum UW consumption by over 40% can the future risk of extreme water shortages be effectively addressed. The model proposed in this study has excellent practicality and application potential, providing a novel perspective for incorporating UW into the unified management of water resources.

Lights, Warnings, Action! Integrating Pre-Hospital Alerts for Swift Emergency Response.

In the demanding realm of the Emergency Department, addressing every emergency incident efficiently becomes paramount, with time emerging as a critical factor. This paper is dedicated to investigating innovative approaches aimed at diminishing the preparation time required when a patient arrives at the hospital. Our methodology involves the integration of pre-hospital warning data, a valuable resource provided by the National Science and Technology Center for Disaster Reduction (NCDR), with an advanced flashing light alert system. This integration specifically targets a reduction in preparation time for major traumas, Cerebrovascular Accidents (CVAs), Out-Of-Hospital Cardiac Arrests (OHCAs), and Acute Myocardial Infarctions (AMIs) at the South Medical Center in Taiwan. By streamlining these critical processes, our research endeavors to enhance overall efficiency and responsiveness within emergency medical care, achieving an average preparation time of 6.61 minutes.

Guarding the lifeline: A game‐theoretical approach to combating emergency supplies counterfeits

AbstractAfter emergency incidents, the issue of emergency supplies counterfeiting persists. Relying solely on government intervention often falls short of preventing fraud related to emergency supplies counterfeiting. Hence, this paper explores a new anti‐counterfeiting approach for emergency supplies, led by the government with legitimate manufacturers' support, and establishes a differential game model based on consumer demand, legitimate manufacturers reputation, and anti‐counterfeiting efforts. Upon exploring the anti‐counterfeiting efforts and benefits for two participants, and systems in three scenarios, we find that system benefits, legitimate manufacturer reputation, and respective gains for both participants are the highest in the collaboration scenario. However, compared with a no‐cost‐sharing scenario, the cost‐sharing scenario achieves a Pareto improvement in both social welfare and legitimate manufacturer benefits, with the government choosing to share a portion of the anti‐counterfeiting cost for legitimate manufacturers only under certain conditions.

Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model

One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various reasons for temporary service unavailability due to routine maintenance, load balancing, cyber-attacks, power management, fault tolerance, emergency incident response, and resource usage. Live Virtual Machine Migration (LVM) is an option to address service unavailability by moving virtual machines between hosts without disrupting running services. Pre-copy memory migration is a common LVM approach used in cloud systems, but it faces challenges due to the high rate of frequently updated memory pages known as dirty pages. Transferring these dirty pages during pre-copy migration prolongs the overall migration time. If there are large numbers of remaining memory pages after a predefined iteration of page transfer, the stop-and-copy phase is initiated, which significantly increases downtime and negatively impacts service availability. To mitigate this issue, we introduce a prediction-based approach that optimizes the migration process by dynamically halting the iteration phase when the predicted downtime falls below a predefined threshold. Our proposed machine learning method was rigorously evaluated through experiments conducted on a dedicated testbed using KVM/QEMU technology, involving different VM sizes and memory-intensive workloads. A comparative analysis against proposed pre-copy methods and default migration approach reveals a remarkable improvement, with an average 64.91% reduction in downtime for different RAM configurations in high-write-intensive workloads, along with an average reduction in total migration time of approximately 85.81%. These findings underscore the practical advantages of our method in reducing service disruptions during live virtual machine migration in cloud systems.

Managing menstruation while deployed operationally: experiences from the Australian emergency management sector

The circumstances faced during emergency incidents are characteristically physical, situational or time-critical, but little is known about how people manage their periods in these extreme settings. This study examined the attitudes, experiences and practices of managing menstruation by emergency services personnel in Australia while deployed operationally. Using a mixed-methods approach, a survey (n=287) collected data about operational roles, period characteristics, period management during operations and period stigmatisation. The findings show that navigating and solving the intersections between periods and the demanding circumstances of deployment is given substantial consideration by people who menstruate. Participants actively found solutions to the various routines, etiquettes and discomforts of menstruation to maintain service to their operational roles, despite problematic influences of period character and menstrual symptoms, menstrual products, hygiene, toileting, privacy and stigmatisation. Such self- determination suggests identity formation as competent first responders who also menstruate. However, externalities of menstruation that could be better accommodated in operational settings include toileting, bodily hygiene, field privacy, menstrual product supplies, used product disposal or cleaning, support, education and training. Attention to menstrual health in workplaces is increasing and should become a normalised aspect of emergency services.

REASONABLE PROFESSIONAL RISK EMPLOYEES OF SECURITY AND CONVOY UNITS OF THE POLICE IN THE PERFORMANCE OF THEIR OFFICIAL DUTIES

The article is devoted to the study of the issues of reasonable professional risk of employees of security and convoy units of the police in the performance of their official duties in situations involving risk (emergency incidents). The emphasis is made on the situations of necessary defense, infliction of harm during the detention of a person who committed a crime and extreme necessity. The paper analyzes the provisions of normative legal acts of the Russian Federation, law enforcement practice and legal literature in this area. This allowed the authors to conclude that, firstly, officers of security and guard units of the police have the right to risky acts in their professional activities, secondly, this right is conditioned by the presence of socially useful purpose, as well as the obligation to be sufficiently prepared for their official activities in any conditions, thirdly, the successful solution of other mentioned problems with the help of scientific research will facilitate the legal assessment of the validity of risky actions of officers of security and guard units.

Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.

Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrated Moving Average (SARIMA) models. In this research, we analyzed the count of cases managed by five hospitals in Hainan Province from January 2016 to December 2020 in the context of maritime emergency care. We employed diverse approaches to construct and calibrate ARIMA, SARIMA, and DBN models. These models were subsequently utilized to forecast the number of emergency responders from January 2021 to December 2021. The study indicated that the ARIMA, SARIMA, and DBN models effectively modeled and forecasted Maritime Emergency Medical Service (EMS) patient data, accounting for seasonal variations. The predictive accuracy was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R 2) as performance metrics. In this study, the ARIMA, SARIMA, and DBN models reported RMSE of 5.75, 4.43, and 5.45; MAE of 4.13, 2.81, and 3.85; and R 2 values of 0.21, 0.54, and 0.44, respectively. MAE and RMSE assess the level of difference between the actual and predicted values. A smaller value indicates a more accurate model prediction. R 2 can compare the performance of models across different aspects, with a range of values from 0 to 1. A value closer to 1 signifies better model quality. As errors increase, R 2 moves further from the maximum value. The SARIMA model outperformed the others, demonstrating the lowest RMSE and MAE, alongside the highest R 2, during both modeling and forecasting. Analysis of predicted values and fitting plots reveals that, in most instances, SARIMA's predictions closely align with the actual number of rescues. Thus, SARIMA is superior in both fitting and forecasting, followed by the DBN model, with ARIMA showing the least accurate predictions. While the DBN model adeptly captures variable correlations, the SARIMA model excels in forecasting maritime emergency cases. By comparing these models, we glean valuable insights into maritime emergency trends, facilitating the development of effective prevention and control strategies.

Formation of a panoramic image of the inner surface of the pipe

Background. Visual non-destructive testing of the inner surface of pipes is an important aspect in their production and operation. A defect detected and corrected in a timely manner can significantly reduce the number of defects in production and prevent various emergency incidents during operation. Formation of a complete panoramic image of the inner surface of pipes suitable for quality analysis is an urgent and sought-after task that can be solved using computer vision systems. Aim. This work is the research and development of television methods for forming a complete panoramic image of the inner surface of a pipe, which can be analyzed to search for defects. Methods. To form a cylindrical panoramic image, mathematical models for the formation of an equidistant projection of spherical images obtained using a fisheye lens were used. For high-quality stitching of the resulting frames, digital image processing methods were used, including brightness and contrast transformations, and searching for special points using the MSER algorithm. Theoretical results are verified by full-scale modeling. Results. The result of this work is an algorithm for stitching frames of a video sequence generated by a television camera with a fisheye optical system, uniformly moved along the longitudinal axis of the pipe, into a single panoramic image of the internal surface. Conclusion. The algorithm ensures the formation of a high-quality image of a full panorama of the inner surface of the pipes with the absence of brightness artifacts.

Third Parties' Intervention in Modifying the Substance of The Contract in The Event of Contractual Imbalance Comparative Study

Achieving contractual justice is linked to the necessity of maintaining the contractual balance, which may be disturbed in contracts of adhesion or consumption, or when emergency incidents occur, which requires allowing others to intervene to amend the content of the contract in order to restore the imbalance in the contract. We have tried in this research to explain the treatments. Legislation for this intervention, identifying its deficiencies and deficiencies, and presenting the necessary proposals to overcome them. The descriptive and analytical approaches, and the comparative study method, were used to reach the best results.

Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.

Background: Influenza-like illness (ILI) encompasses symptoms similar to influenza, affecting population health. Surveillance, including Google Trends (GT), offers insights into epidemic patterns. Methods: This study used multiple regression models to analyze the correlation between ILI incidents, GT keyword searches, and climate variables during influenza outbreaks. It compared the predictive capabilities of time-series and deep learning models against ILI emergency incidents. Results: The GT searches for "fever" and "cough" were significantly associated with ILI cases (p < 0.05). Temperature had a more substantial impact on ILI incidence than humidity. Among the tested models, ARIMA provided the best predictive power. Conclusions: GT and climate data can forecast ILI trends, aiding governmental decision making. Temperature is a crucial predictor, and ARIMA models excel in forecasting ILI incidences.

Thematic Diversity of Regional News on the TASS News Feed

The article is devoted to the problem of thematic diversity of news content from the regions of the Russian Federation. Based on the agenda setting theory and its special direction “media diversity”, the author explores approaches to its measurement and operationalizes this concept in the context of the TASS regional editorial policy. The presented results of the content analysis allowed to draw conclusions about topics dominated the agency’s agenda for 10 years. Thematic priorities of news from various federal districts have been identified. Quantitative assessments examine the dynamics of the thematic spectrum, both for the country as a whole and at the level of macroregions. The conclusions are drawn that the concept of the agency's regional editorial policy, focused on the maximum variety of content and the disclosure of the information potential of the regions, is not fully implemented in practice, which, in particular, is expressed in an excess of news about emergency and criminal incidents. Nevertheless, the editors were able to introduce into routine practice active information support for topics chosen by the Russian government as strategic, which indicates the flexibility of the agency’s agenda and the potential for greater diversity. In interpreting the data, the author also relies on his own experience as a correspondent and editor of a news agency.

Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study

The perceived risk experienced during the operation of a ship varies among seafarers, likely due to individual differences and variations in task requirements. Hence, this study aims to investigate the impacts of seafarers’ individual characteristics on their perceived risk under various emergencies by conducting a high-fidelity ship-handling simulator experiment. A linear mixed effects model is built to assess the impact of individual characteristics (e.g. age, navigational experience, profession, professional level) on the perceived risk of seafarers. Results show that the perceived risk of maritime pilots is significantly higher than deck officers under three emergency situations. The lower perceived risk is found from seafarers with higher navigational experience or at a higher professional level in situations involving poor visibility or an emergency incident. Additionally, the seafarer’s age could affect the perceived risk only in the circumstance of an emergency incident. Another finding is that seafarers at a high professional level (i.e. first mate, second-class pilot) exhibit higher perceived risk than those at a low professional level (i.e. second mate, third-class pilot) under the emergency of close encounters. Seafarers’ individual characteristics have different impacts in various emergency situations, with the influence of their profession being particularly significant. Maritime administrations were suggested to develop diverse training programs for various seafarers in order to reduce the occurrence likelihood of human errors in maritime accidents.

Inovasi Pelayanan Publik Diskominfo Kota Samarinda di Era Disrupsi: Studi Implementasi Layanan Samarinda Siaga 112 dan Panic Button

In the current era of disruption, the implementation of the Samarinda Siaga 112 Service and the panic button developed by the Samarinda City Communication and Information Service are available as a forum for optimizing public services in terms of handling electronic-based emergencies. Through a qualitative descriptive approach, this research examines the implementation of the Samarinda Siaga 112 and panic button services which refer to Samarinda Mayor Regulation Number 52 of 2019 concerning the Implementation of a Single Emergency Call Number 112 and Panic Button, by focusing on aspects of communication, resources, disposition, bureaucratic structure and the obstacles. This research found that the Samarinda Siaga 112 and panic button services have been implemented well even though there was a decrease in the number of complaint channels after Covid-19 ended because the Samarinda Siaga 112 and panic button services were much more needed during the past Covid-19 pandemic. The operational functioning of this service is reduced andi s still hampered by other obstacles related to technical matters and the characterictics of the population of Samarinda City with the finding that 75,54 percent of incoming callas to Emergency Call 112 are fake calls. However, this service can still be implemented effectively by optimizing existing resources, and contuining to be committed to improving information technology-based public services for the communication in handling various emergency incidents. The role of emergency volunteers is also very significant in implementing this service and better empowerment efforts need to be carried out by the Samarinda City Government. More massive educational efforts are also needed for the people of Samarinda City regarding the urgency of caring and being alert to emergency condotions as well as using media in public service communication wisely and beneficially for others.

Emergency Operations Center structures in public offices of emergency management.

Emergency Operations Centers (EOCs) are locations from where activities are conducted in support of emergency incident response, including management of information flows/communications and coordination of strategic decision-making and activities across diverse communities and organizations. To date, knowledge is limited about practices involved in structuring and operating EOCs at public offices of emergency management (OEMs) and influencing factors. Through surveys and analysis of organizational documents, this study examines the models used by OEMs and the factors that influence the choice of models and organizational perception of the effectiveness of the employed models. Our results indicate that the emergency support function (ESF) model is the most commonly used, followed by a hybrid model, the incident command system model, and finally, the departmental structure and incident support model. We found no single model to be decisively superior; rather, different models are appropriate depending on personnel, resource availability, and the context of the jurisdiction. The ESF model, which is the most commonly utilized, appears to be difficult to employ effectively when organizations have limited access to trained personnel necessary for carrying out the range of functions specified in the model. In comparison, other models appear better suited to handle personnel constraints.

Bimbingan Pijat Jantung dalam Upaya Meningkatkan Pengetahuan dan Keterampilan tentang Resusitasi Jantung Paru pada Orang Awam di Balikpapan

Emergency incidents can occur anywhere, this condition requires community participation to help victims before they are found by health workers, which is very important. Cardiopulmonary resuscitation health education for the lay public is the main thing to increase the ability to help life-threatening victims before going to the hospital. Health information about cardiopulmonary resuscitation (CPR) for people aims to increase knowledge and be able to help victims of cardiac arrest. The activities are carried out in 2 methods offline and online which are packaged in the form of questions, answers and direct practice. The number of participants was 30, health education material was delivered and questions and answers were held for ± 30 minutes about RJP, followed by CPR practice for ± 20 minutes. The tools used are small manikins and pillows and there are group divisions and each group is accompanied by a guide. The results before health education and CPR practice were carried out, the level of knowledge of respondents was good, 15 people (50%), 5 people (17%) had sufficient knowledge and 10 people (33%) had less knowledge. After being given health education there was a change in the knowledge category, namely 18 people (60%) had good knowledge, 7 people (23%) had sufficient knowledge and 5 people had less knowledge (17%) about heart attacks and CPR skills. This community service hopes that ordinary people can carry out Cardiopulmonary Resuscitation as basic life support (Basic Cardiac Life Support) and management of cardiac arrest victims outside the hospital

Economic Insights to Optimize Chain of Survival in Emergency Response

Background: Since economics is a social science studying individuals&amp;apos; behavior, it is plausible to employ its relevant concepts to study human behavior in the immediate response of lay citizens towards emergency incidents. In this context, economics has identified three types of policy lags in fiscal decisions that are of great interest to our study: recognition lag, decision lag, and implementation lag. Objectives: This study aims to apply the three policy lags in economics to the concept of ‘chain of survival&amp;apos; (CoS), in the hope of enticing rethinking its first link, and to seek solutions for CoS&amp;apos;s optimal activation. Methods: This cross-sectional study explores immediate responses to prehospital emergencies through a global online survey in four languages. It assesses how lay citizens recognize medical emergencies and activate the EMS system. Data is analyzed with SPSS v26 while summarizing qualitative variables via frequencies and percentages. Results: A total of 239 respondents were recruited in the survey from multiple countries. About 32% of the sample had recognition lag 95% CI of [26.3%, 38.2%]. Lower recognition lag scores were significantly associated with male gender, residing in Europe and Oceania, European and North American nationalities, and first aid training in last 5-10 years. Around 70% of our sample had decision lag 95% CI of [63.6%, 75.3%]. The most statistically significant factor contributing to successful decision to calling for an ambulance was prior first aid training. The average implementation lag score was 46%, which was defined as five minutes delay in calling for an ambulance or more. Conclusion: Applying concise terminology to the CoS&amp;apos;s first link (i.e. calling EMS) reveals behavioral constrains to an effective and timely activation of the CoS. These findings clarify immediate behaviors at times of emergencies, and inform targeted awareness programs addressing behavioral elements for a successful activation of the EMS system.

Нерешённые вопросы в пиротехнической деятельности как объективная причина чрезвычайных происшествий

Purpose. Analysis of pyrotechnic activities various types, both licensed and unlicensed, supposes the need to assess modern requirements of regulatory documents governing the turnover of pyrotechnics in the country. How fully do they meet the requirements for the safe implementation of such activity for personnel, spectators, the surrounding infrastructure and exclude the causes of emergency incidents? Methods. The author has analyzed legal acts and regulatory documents governing the licensing of the production, storage and use of technical pyrotechnics, as well as the turnover of pyrotechnic products permitted for retail sale to the public. The causes of fires and explosions have been studied and summarized according to the sources of EMERCOM and mass media. Information from scientific sources on the basics of pyrotechnics has been analyzed. Findings. The imperfection of regulatory documents specific requirements for the conditions for carrying out pyrotechnic activities, training personnel and chiefs has been established. The main objective reasons for tragic incidents that have occurred over the past decades were identified: 1) legalized control loss over the turnover of pyrotechnics in the country; 2) lack of a unified set of rules for working with pyrotechnic materials for technical (professional) purposes; 3) the insufficient level of basic knowledge about pyrotechnic compositions and products based on them among personnel and chiefs of fireworks shows, as well as lack of licensing requirements for the education of the latter. The dangerous nature of the household pyrotechnics Internet sales through marketplace trading platforms is substantiated. Their specific violations of the Fire Regulations in the Russian Federation are indicated. Research application field. Measures are proposed in the field of pyrotechnic activities regulatory documents, state control in this area and retail trade in pyrotechnics. Conclusions. Pyrotechnic activity is a field of entrepreneurship where the conditions for licensing should not be weakened and there should not be chances for free wholesale and retail trade for anyone without any restrictions. Real state control should not be absent here, even for a temporary period.

Increasing public knowledge and Skill in Emergency Response to enhance proficiency in handling emergencies at home

Abstract. Medical emergencies are not limited to hospitals, roads, or public facilities but frequently arise within households and families. Typical emergencies in residential and nearby settings include physical injuries, loss of consciousness, toxic substance exposure, and open wounds. According to the 2019 poisoning case report, incidents of poisoning that transpire within residential settings constitute Indonesia's second most prevalent form of poisoning cases across diverse categories of poisoning incidents. The prevalence of emergency incidents in such households underscores the significance of leveraging alertness and caution. Furthermore, fast and accurate handling is also requisite. Acquiring knowledge of first aid within the community is imperative for effectively managing emergencies that may arise in a domestic setting. Acquiring emergency first aid knowledge is crucial for the community as unanticipated emergencies can occur indiscriminately and anywhere.&#x0D; An intervention was implemented via community service at PCPM Ngaglik Sleman to address the issue mentioned earlier. The community service was being executed to impart knowledge on emergency management through a two-pronged strategy. The initial phase involved imparting knowledge on emergency medical care for conditions such as injuries, syncope, nosebleeds, toxic exposure, and open wounds. During the second phase, a Forum Group Discussion was conducted to simulate managing injuries, syncope, and open wounds. One or two instructors facilitated each group. The efficacy of education was evaluated by administering pre-test and post-test assessments utilizing the quizz.com platform. The simulation's efficacy was evaluated using a rubric to make observations.&#x0D; The outcome of this community service initiative led to a noticeable augmentation in the participants' comprehension of emergency response procedures. The study observed that the average pre-test and post-test scores of the 26 participants increased. Additionally, the proportion of participants who demonstrated good knowledge increased from 11.5% to 50%. Furthermore, there was an observed improvement in the participants' ability to handle emergencies. In assessing this approach, it was imperative to incorporate the time duration for stage 2 activities, specifically the emergency handling simulation. Furthermore, the intended collaborators aspire for this undertaking to be conducted regularly.