Level Risk Assessment Research Articles

Performance of indicators used in regular risk assessments for COVID-19 in association with contextual factors.

This study aimed to summarize the results of coronavirus disease 2019 (COVID-19) risk assessments and to examine the associations between risk levels and various indicators, including COVID-19 incidence, risk perception, community mobility, and government policy. The results of the risk assessment and the indicators utilized were summarized. From November 2021 to May 2022, the COVID-19 risk level was evaluated on a weekly basis, and its correlation with these indicators was analyzed. Data were obtained from press releases by the Korea Disease Control and Prevention Agency, regular surveys conducted by Hankook Research, and information available on the Google and Oxford websites. Weekly risk assessments were conducted for 30 weeks, using different indices depending on the phases. Correlation analysis revealed the strongest positive correlation between risk level and risk perception (r=0.841). The risk level from "1-week lead" demonstrated a strong positive correlation with the time-varying reproduction number (Rt). Similarly, the risk level from "week lagged value" showed a strong positive correlation with the number of severe cases in the hospital. At the time of risk assessment, the Rt precedes the risk level, while severe cases in hospitals follow. Therefore, the assessed risk level functioned as an early warning system. Risk perception demonstrated the strongest correlation with the risk level, suggesting consistency throughout the assessment period. Contextual indicators (e.g., risk perception) that consider time lags and implementation scales, could improve the evaluation of future risk assessment results, particularly when there are challenges in reflecting specific situations in coordinated emergency response.

Real-World Large Sample Assessment of Drug-related Dry Eye Risk: Based on the FDA Adverse Event Reporting System Database

Purpose and designThis study aimed to evaluate the risk of drug-related dry eye using real-world data, underscoring the significance of tracing pharmacological etiology for distinct clinical types of dry eye. MethodsAnalyzing adverse event reports in the Food and Drug Administration Adverse Event Reporting System (FAERS) from January 2004 to September 2023, we employed disproportionality analysis and the Bayesian confidence propagation neural network algorithm. The analysis involved categorizing drugs causing dry eye, assessing risk levels, and conducting segmental assessments based on the time of onset of drug-related dry eye adverse reactions. ResultsIn the FAERS database, adverse reactions related to dry eye were linked to 1160 drugs. Disproportionality analysis identified 33 drugs with significant risk, notably in ophthalmic (brimonidine, bimatoprost), oncology (tisotumab vedotin, erdafitinib), and other medications (isotretinoin, oxymetazoline). The top three drugs with the highest risk of drug-related dry eye are isotretinoin (Bayesian confidence propagation neural network (BCPNN) = 6.88), tisotumab vedotin (BCPNN = 6.88), and brimonidine (BCPNN = 6.77). Among different categories of drugs, respiratory medications have the shortest mean onset time for drug-related dry eye, averaging 50.99 days. The prevalence skewed towards females (69.9 %), particularly in menopausal and elderly individuals (45–70 years old, mean age 54.7 ± 18.2). Reports of drug-related dry eye adverse reactions showed an annual increase. ConclusionInformed clinical decision-making is crucial for preventing drug-related dry eye. Assessing the risk of dry eyes associated with both local and systemic medications helps optimize treatment and provide necessary cautionary information.

Construction Safety in Girder Installation Work on Cibitung – Cilincing Toll Road Construction Project

Toll road development, in its implementation, has a relatively high risk of work accidents, and it cannot be denied that work safety management is still weak and there is a lack of awareness about the magnitude of the risks that threaten workers. Girder erection work is included in high-risk work. The method used is HIRADC, according to PUPR Ministerial regulation No. 10 of 2021 concerning SMKK guidelines. This study aims to identify hazards, make risk level assessments, and make risk control efforts that can reduce the risk level of work accidents in girder installation work at the Cibitung – Cilincing Toll Road Construction Project. The limitation of the problem is that the research location only focuses on Section 4 of Sta 33+150, the Cibitung – Cilincing Toll Road Construction Project on the P2 – P3 JU Cakung Drain Pillar Span with the girder installation process using a Gantry Launcher. This study uses a qualitative research approach with a descriptive form to determine the possibility and the consequences that will occur, as well as control the hazard to reduce the possibility and severity. In this study, there are 2 data collection techniques: Primary Data (Observation, Interviews were conducted with 3 sources, K3 Experts, and a Questionnaire was conducted related to risk assessment of the likelihood and severity values) and Secondary Data. This research's novelty lies in using tools during the girder lifting process because the girder length is 50.8 m, and the danger factors are different. The questionnaire data collected found that implementation of the girder installation work identified 52 hazards, with a large level of risk are 20 hazards (38.46%) and medium risk levels are 32 hazards (61.54%). Control efforts by means of engineering, administration and personal protective equipment (PPE) found a decrease in the level of high risk and the level of moderate risk is no longer found, and the level of small risk becomes as many as 52 hazards (100%). So, it can be concluded that the results of the risk level assessment have been better than before.

Regional Disaster Risk Assessment Based on ARIMA Prediction and Comprehensive Evaluation Model

The occurrence of extreme weather events affects the natural economic and social security, and has a serious impact on some industries, so the prediction and evaluation of disaster risk level is particularly important. This paper collected data on nine indicators from 25 regions and divided them into four areas: extreme weather, natural, social, and economic. the ARIMA prediction model is used to predict the probability and intensity of extreme weather in the future. The combined weights of each index were calculated by Composite Weighting Method, including principal component analysis, entropy weight method and coefficient of variation method, and the Risk Assessment Index (RAI) formula was constructed, and then the WNSE prediction and evaluation model was constructed. It is divided into four risk levels by fuzzy cluster analysis. We use WNSE prediction and evaluation model to calculate New York City and Switzerland’s RAI and coverage levels. Using this prediction, we can assess the severity of the consequences of natural disasters and prevent or remedy them. The assessment of regional disaster risk levels can give relevant reference to the government, and the government can make reasonable resource allocation.

Systematic Literature Review (SLR): Explorations flood systems theory and appropriate modeling

Urban flood risk assessment conducts a comprehensive evaluation of hazard formative factors, hazard formative environment, hazard-affected bodies, and capabilities for disaster prevention and reduction in order to obtain an accurate assessment of flood risk levels. The current study aimed to conduct a systematic review of the existing literature on engagement outcomes, focusing on high-quality studies Each step of the SLR method and their results are explained in detail in the following subsections using SLR performed. Using the SLR method can help answer the objectives of this research in the form of: What type of modeling to overcome flooding This research uses the SLR method which aims to recognize, review, and evaluate Using bibliometric analysis.To achieve the goal of SLR, the variables of interest are organized based on the general characteristics of the article and the specific parameters used general information about the article includes year of publication, type of analysis (quantitative, qualitative, cartographic or mixed), type and scale of research, and the country or region where the research was conducted. The model consists of three components, including rainfall runoff, river channels, and flooding The flow in the channel was generated with a 1D diffusion wave model, and the outflow on the slope was generated with a 2D model.This article showed the basic steps that need to be followed to conduct SLR This method generates topic-specific existing knowledge, trends, and observed gaps and helps to draw relevant conclusions for policy makers and the scientific community. and the appropriate modeling is Press RRI refers to 2D grid-based fluid dynamics and is a model that combines a hydrological model and a flood model.

Systematic Literature Review (SLR): Explorations flood systems theory and appropriate modeling

Urban flood risk assessment conducts a comprehensive evaluation of hazard formative factors, hazard formative environment, hazard-affected bodies, and capabilities for disaster prevention and reduction in order to obtain an accurate assessment of flood risk levels. The current study aimed to conduct a systematic review of the existing literature on engagement outcomes, focusing on high-quality studies Each step of the SLR method and their results are explained in detail in the following subsections using SLR performed. Using the SLR method can help answer the objectives of this research in the form of: What type of modeling to overcome flooding This research uses the SLR method which aims to recognize, review, and evaluate Using bibliometric analysis.To achieve the goal of SLR, the variables of interest are organized based on the general characteristics of the article and the specific parameters used general information about the article includes year of publication, type of analysis (quantitative, qualitative, cartographic or mixed), type and scale of research, and the country or region where the research was conducted. The model consists of three components, including rainfall runoff, river channels, and flooding The flow in the channel was generated with a 1D diffusion wave model, and the outflow on the slope was generated with a 2D model.This article showed the basic steps that need to be followed to conduct SLR This method generates topic-specific existing knowledge, trends, and observed gaps and helps to draw relevant conclusions for policy makers and the scientific community. and the appropriate modeling is Press RRI refers to 2D grid-based fluid dynamics and is a model that combines a hydrological model and a flood model.

Evaluasi Faktor-Faktor Penyebab Longsor dan Kesesuaian Mitigasi

Management and maintenance of slopes require proper knowledge of slope conditions so that appropriate mitigation measures can be implemented. The activities required for the management of slopes include slope inventory, slope inspection, slope risk level assessment, and risk mitigation measures. The objective of this study was to observe the slope conditions and causes of past slope failures, determine the appropriate mitigation measures, and analyze the suitability of landslide mitigation measures and causes of slope failures. The research locations are road segment No. 36 (Kota Lahat – Simpang Air Dingin), No. 37 (Simpang Air Dingin – Pagar Alam), and No. 38 (Pagar Alam – Tanjung Sakti – batas Bengkulu). The research was initiated by analyzing data collected by the South Sumatra National Road Management Agency (BPJNSS) from 2018 to 2021. The field observation was conducted on ten locations where the slope had been repaired after slope failure events. The suitability of mitigation with the factors that cause landslides was analyzed using the slope management system method suggested by the Ministry of PUPR. The results showed that most slope failures were triggered by high-intensity rain falling on slope surfaces containing high humidity due to previous rainfall. The common types of slope mitigation are reducing the forces that cause movement, increasing the resisting forces by controlling seepage, and the use of anchors.

Assessment and measurement of ground motion risk levels for structures isolated by double concave friction pendulum system

Determining the risk level of ground motions (GM) for structures is crucial for their damage control and resilience enhancement, while the assessment and measurement criteria of GM risk levels for structures isolated by double concave friction pendulum system (DCFPS) remain unclear. Through statistical analysis of the response distribution of DCFPS with various design parameters under 1013 GM records, this study determines an energy dissipation efficacy of 99 %, a floor velocity of 0.35 m/s, a floor velocity of 0.60 m/s, and the displacement capacity of DCFPS as the response criteria for assessing four performance states of efficacy, habitability, functionality, and safety, respectively. In addition, the value of GM intensity in PGA, PGV, PGD, and the equivalent velocity of seismic input energy (VE) for measuring the four GM risk levels corresponding to the four performance states are obtained. Furthermore, a classification of GMs based on earthquake magnitude and fault distance is proposed according to their risk to DCFPS. It is found that the intensity value of each GM risk level varies for different design parameters of DCFPS but fluctuate within a small range, however, great differences exist when using different intensity measures (IM) in classifying GM risk levels. Therefore, based on the correlation between IMs and DCFPS responses, the conservatism of PGA, PGV, PGD and VE in assessing the risk of GMs for DCFPS are evaluated.

Analisis Keselamatan dan Kesehatan Kerja (K3) Menggunakan Metode Hazop Studi Kasus: Departemen Teknik PT Sinde Multikemasindo

PT Sinde Multi Kemasindo is a plastic packaging industry company located in Tambun, West Java. PT Sinde Multi Kemasindo produces products in the form of preforms, 200 Ml bottles, 350 Ml bottles, 500 Ml bottles and screw caps with 2 colors, namely green and blue. PT Sinde Multikemasindo carries out the production process based on orders or direct requests from consumers. Based on the data obtained, from January to November 2023, there were 31 cases of work-related accidents in the engineering department of PT Sinde Multikemasindo, with a description of extreme risk of 0%, high risk of 23%, moderate risk of 61%, and low risk of 16%. with the classification of moderate and mild accidents. In an effort to minimize work accidents, work accident analysis can be carried out using the Hazard and Operability Study (HAZOP) method and fisbon approach The results found 31 hazards in the engineering department and can be categorized into 31 hazard sources. From the risk level assessment results, there are 0 sources of hazard classified as extreme, 73 sources of hazard classified as high risk, 19 sources of hazard classified as medium risk, and 5 sources of hazard classified as low risk. This study provides recommendations for improvement in the form of conducting inspections to workers, providing signs or posters regarding the use and need for PPE, conducting supervision (punishment and reward system), prohibiting entry into the production work area without using PPE and conducting medical examinations on workers exposed to dust.

Visual Impairment and Suicide Risk

Suicide is a substantial public health concern that involves various recognized contributing factors. Sensory impairments, specifically visual impairment, are deemed potential risk factors. Nonetheless, comprehensive information about associated risk levels and underlying determinants remains limited. To investigate the association between visual impairment and different aspects of suicide, including the assessment of risk levels and exploration of potential contributing factors. An electronic search was performed in the PubMed, EMBASE, Scopus, and Cochrane Library databases from their inception to February 8, 2024. All published studies were considered without restrictions on study design, publication date, or language. Two independent reviewers extracted the published data using a standardized procedure in accordance with the Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. Random-effects meta-analyses were used to estimate pooled effect sizes. Multiple meta-regression analyses were conducted to identify potential factors contributing to the association between visual impairment and the risk of suicide. The primary outcome measure was the odds ratio (OR) of suicidal behavior (including suicide attempt and suicide death) for individuals with visual impairment compared with those without. The secondary outcome measures were the pooled ORs of suicidal ideation and suicide death, respectively. A total of 31 population-based studies with 5 692 769 unique individuals (mean [SD] age, 48.4 [8.5] years; 2 965 933 females [52%]) were included. For 17 studies (5 602 285 individuals) that evaluated suicidal behavior, the pooled OR was 2.49 (95% CI, 1.71-3.63). For 21 studies (611 899 individuals) that assessed suicidal ideation, the pooled OR was 2.01 (95% CI, 1.62-2.50). For 8 studies (5 067 113 individuals) investigating the association between visual impairment and suicide death, the pooled OR was 1.89 (95% CI, 1.32-2.71). The multiple meta-regression model identified age group as a predictive factor associated with suicidal behavior, with the studies included suggesting that adolescents were at the highest risk. While this analysis showed moderate heterogeneity for suicide death, high heterogeneity was observed for suicidal behavior and suicidal ideation. The findings of this systematic review and meta-analysis support the association between visual impairment and increased risk of suicidal tendencies. The risk differed by age group, with a pronounced risk observed among adolescents.

Assessment of passenger safety risk level on the Transjakarta public transportation system

Passenger safety is a crucial factor in public transportation, especially now when people prefer using public transport due to its cost-effectiveness compared to private vehicles. This study aims to identify and assess the hazards that can occur in the passenger cabin of a bus and the procedures to be followed in the event of an accident. The assessment of passenger safety levels is conducted using the Hazard and Operability (HAZOP) and Hazard Identification (HIRADC) methods, which are designed to identify and evaluate these potential hazards. This research, after thorough examination and study, aims to establish new protocols that can further enhance passenger safety. With the actions suggested by the author to ward off all these potential hazards, it is hoped that the hazard level will be reduced from extreme to medium and so on. The research study, “Assessment of Passenger Safety Risk on the Transjakarta Public Transportation System,” has the potential to make a substantial contribution to sustainable transportation. In line with sustainable development goals, it immediately tackles safety concerns in the Transjakarta system, improving all-around safety and promoting public transportation over private vehicles. By lowering accident-related expenses, promoting inclusiveness, and enhancing community well-being, the study also indirectly increases resource efficiency. In essence, it contributes to a more secure, egalitarian, and sustainable urban transportation system while advancing Jakarta’s sustainable mobility strategy by placing safety first.

370 Point-of-Service Salivary Microbiome Analysis in the Prevention and Detection of Oral Premalignant Lesions

OBJECTIVES/GOALS: Our aim is to establish soluble salivary biomarkers indicative of increased risk of oral premalignancy to be used in a point-of-service technology. Our goal is to non-invasively assess risk level for premalignancy by characterizing a molecular signature pattern that can be applied to such a diagnostic tool at routine dental or medical visits. METHODS/STUDY POPULATION: Adult patients 18 years of age and older who are non-smokers and patients of the University of Maryland School of Dentistry Oral Medicine Clinic and have been diagnosed with oral premalignancy (proliferative verrucous leukoplakia) are eligible. Exclusion criteria include history of immunosuppression or immune compromise; use of antifungal, antibiotic, and/or antiviral medications within the past three months; and gross dental disease. Serial unstimulated saliva samples will be collected at baseline or diagnosis of oral premalignancy, 6 months and 12 months. Solubility testing will be completed to determine whether malignant markers such as EGFR/mTOR/PI3K/p53 are soluble in saliva, and patient samples will be analyzed by ELISA and compared to appropriate controls. RESULTS/ANTICIPATED RESULTS: We anticipate demonstrating increased activity of molecular pathways known to be involved in malignant transformation, such as EGFR/mTOR/PI3K/p53, or increased burden of select microbial pathogens to be associated with increased risk of oral premalignancy in the form of proliferative verrucous leukoplakia. Preliminary sensitivity and specificity testing of the identified markers will provide additional insight to the utility of a diagnostic tool with salivary specimen. Therefore, the microbiome and/or molecular profile proposed from these results will serve as a translational application to development of future point-of-service test devices to be used in the prevention and detection of oral premalignant lesions. DISCUSSION/SIGNIFICANCE: Oral cancer is the sixth most common cancer worldwide, and presents challenges in its diagnosis and clinical management. Later diagnosis is associated with poorer patient outcomes—therefore, a molecular and microbiome profile that may be used in a noninvasive diagnostic test technology would prove beneficial to providers and patients.

ANALYSIS OF OPERATIONAL RISK MANAGEMENT OF KAMPUNG SUSU DINASTY AGROTOURISM IN SIDEM VILLAGE GONDANG SUBDISTRICT TULUNGAGUNG REGENCY

Kampung Susu Dinasty (KSD) Agrotourism hasn’t managed their management optimally. This condition has an impact on agrotourism that has a hard time to developing. This management isn’t free of a risk and the possibility of a risk that’s influenced by the quality said management has. This research aims to identifying the operational risk source, analyzing the level of risk, also strategies that can be applied for operational agrotourism risk control. The research method used is qualitative descriptive. The sampling method used is purposive sampling technique with 64 respondents. Data analysis used descriptive analysis, likert scale, Godfrey method, and Flanagan & Norman theory. The result shows that there are 13 operational risks that agrotourism faces with 4 risk categories. The final results of the risk level assessment found that 2 risks were at a low level, 5 risks were at a medium level, 3 risks were at high level, and 3 risks were at an extreme level. From the results of the analysis, 4 main strategies were carried out to minimize losses due to operational risks, namely by transferring risks involving third parties, establishing communication and cooperation with various parties, creating alternative actions, and creating new programs.

Evaluation of risk level assessment strategies in life Insurance: A review of the literature

<p class="11-SciencePG-Abstract-content">The viability of every insurance company depends on risk assessment of new life policy proposals. Machine learning techniques are increasingly shown to double case processing speed, reducing manual evaluation time. The underwriter evaluates the risk in several ways, including financial and medical evaluations and category classification based on customer data and other factors like previous insurance information, clinical history, and financial data. This research examines different academics’ publications on risk prediction while offering a new insurance policy to an applicant. Multiple machine learning models developed by researchers have been extensively investigated. The researchers’ model evaluation criteria were analyzed to understand and discover study gaps. The article additionally analyses how researchers found an accurate machine-learning model. This report also analyses various scholars’ future work proposals to identify what could possibly be modified for further research. This study details the measures used by other academics to evaluate machine learning models. This study describes the criteria used by other scholars to evaluate machine learning models. The criteria used by investigators to assess the produced models were carefully evaluated to understand and spot any untapped potential for advancement. Researchers’ methods for finding an accurate machine-learning model are also examined in this article. In addition, this study analyses several researchers’ future work proposals to discover what may be changed for further research. Using previous academics’ work, this review suggests ways to enhance insurance manual procedures.</p>

Risk level assessment of typhoon-induced wave fields around a large-scale suspended mussel farm

Suspended shellfish aquaculture, utilizing longlines and buoys fixed on the sea surface, is a crucial source of global seafood. However, typhoons, as the most common disasters in coastal regions, can generate massive waves and pose a threat to the safety of suspended aquaculture facilities. Therefore, it is essential to investigate the risk levels associated with suspended aquaculture farms during typhoon waves. The example of a large-scale suspended mussel farm in the East China sea was examined in this study. The wave conditions under extreme wind conditions (25m/s) and different typhoon paths were predicted using the SWAN model and modeled results compared well with the observed wave and wind data. The results indicated that when the center of the east-side typhoon was located at the same latitude as the farm, it will face the highest risk level. However, for the west-side and intermediate sweeping typhoons, the risk level reached highest in the farm, when the typhoon center is lower than the latitude of it. Under the combined effects of wind fetch and topography, the risk level in the southeast farming area of the island is the highest under different wind conditions. The farms to the northwest of the island face a higher risk level during the passage of east-side sweeping typhoons, while the southern farms of the island experience an elevated risk level during the west-side and intermediate sweeping typhoons. It is suggested that farming regions with lower risk levels are more conducive to the cultivation of species with longer culture cycles. Conversely, regions considered at higher risk are more suitable for species with shorter culture cycles. The study affords a reference for the optimization and insurance of suspended aquaculture farms.

Comparative Analysis of Returns and Standard Deviations of Healthcare Companies’ Stocks: a Five-year Study (2019-2023)

This research conducts a comparative analysis of returns and standard deviations of healthcare companies’ stocks listed on the National Stock Exchange (NSE) over a five-year period from 2019 to 2023. The study aims to provide valuable insights for investors in the health sector, assisting them in balancing risk and return in their investment decisions. Secondary data sourced from the NSE website, publications, and journals is utilized, employing a descriptive research design. Statistical tools such as returns, beta, and standard deviation are used to analyze the data. The objectives include examining mean returns, assessing risk levels, contrasting achievements among healthcare corporations, and recommending suitable securities for investors. The findings offer actionable insights for investors aiming to optimize their investment outcomes within the healthcare industry. The investigations examines to the comparisons between healthcare companies’ stocks on NSE from 2019 to 2023. The intent is to assist with making informed decisions. Secondary data was collected from various sources, utilizing a descriptive design. Statistical tools such as returns; beta and standard deviation are applied to interpret the information. Key objectives include examining mean returns, evaluating risk, and recommending securities for investors. The results aim to provide useful recommendations for investment within the healthcare sector!.

Pressure injury risk assessment and prescription of preventative interventions using a structured tool versus clinical judgement: An interrater agreement study.

To assess agreement of pressure injury risk level and differences in preventative intervention prescription between nurses using a structured risk assessment tool compared with clinical judgement. Interrater agreement study. Data were collected from November 2019 to December 2022. Paired nurse-assessors were allocated randomly to independently assess pressure injury risk using a structured tool (incorporating the Waterlow Score), or clinical judgement; then prescribe preventative interventions. Assessments were conducted on 150 acute patient participants in a general tertiary hospital. Agreement of risk level was analysed using absolute agreement proportions, weighted kappa and prevalence-adjusted and bias-adjusted kappa. Ninety-four nurse assessors participated. Absolute agreement of not-at-risk versus at-risk-any-level was substantial, but absolute agreement of risk-level was only fair. Clinical judgement assessors tended to underestimate risk. Where risk level was agreed, prescribed intervention frequencies were similar, although structured tool assessors prescribed more interventions mandated by standard care, while clinical judgement assessors prescribed more additional/optional interventions. Structured tool assessors prescribed more interventions targeted at lower-risk patients, whereas assessors using clinical judgement prescribed more interventions targeted at higher-risk patients. There were clear differences in pressure injury risk-level assessment between nurses using the two methods, with important differences in intervention prescription frequencies found. Further research is required into the use of both structured tools and clinical judgement to assess pressure injury risk, with emphasis on the impact of risk assessments on subsequent preventative intervention implementation. The results of this study are important for clinical practice as they demonstrate the influence of using a structured pressure injury risk assessment tool compared to clinical judgement. Whilst further research is required into the use of both structured tools and clinical judgement to assess pressure injury risk and prescribe interventions, our findings do not support a change in practice that would exclude the use of a structured pressure injury risk assessment tool. This study adhered to the GRRAS reporting guideline. No patient or public involvement in this study. Educators and researchers can use the findings to guide teaching about pressure injury risk assessment and preventative intervention and to direct future studies. For clinical nurses and patients, a change in clinical practice that would exclude the use of a structured risk assessment tool is not recommended and further work is needed to validate the role of clinical judgement to assess risk and its impact on preventative intervention.

Light pollution risk level assessment based on Delphi method and analytic hierarchy process

Light pollution risk level assessment based on Delphi method and analytic hierarchy process

Work Accidents Analysis in Lathe Workshop - JSA with FMEA Approach

This study investigates the risk levels and potential for work accidents in manufacturing processes involving heavy equipment like lathes, which often lead to accidents due to non-compliance with safety regulations. Employing job safety analysis (JSA), the research aims to minimize accidents by assessing risk levels and proposing comprehensive Personal Protective Equipment (PPE) usage for workers. Results reveal that the welding process's failure mode severity is rated at 2, while lathe-related accidents, particularly exposure to debris, have the highest occurrence and effect analysis at 6. Limited PPE availability contributes to a low failure mode detection and effect analysis score of 7. This study underscores the critical need for implementing stringent safety measures to mitigate workplace accidents in manufacturing settings. Highlights : Comprehensive assessment: Utilizing job safety analysis (JSA), the study provides a detailed evaluation of potential work accidents in manufacturing processes, focusing on heavy equipment usage. Risk mitigation: The research emphasizes the importance of implementing stringent safety measures, including the complete utilization of Personal Protective Equipment (PPE), to minimize the occurrence of workplace accidents. Importance of compliance: Non-compliance with safety regulations, particularly regarding the use of PPE and adherence to K3 regulations, significantly increases the risk of work accidents, leading to disruptions in production processes. Keywords: Workplace Safety, Manufacturing, Job Safety Analysis, Personal Protective Equipment, Risk Assessment

Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based on Geographical Risks and Emergency Response Infrastructure

Flooding in urban areas is expected to become even more common due to climatic changes, putting pressure on cities to implement effective response measures. Practical mechanisms for assessing flood risk have become highly desired, but existing solutions have been devoted to evaluating only specific cities and consider only limited risk perspectives, constraining their general applicability. This article presents an innovative approach for assessing the flood risk of delimited urban areas by exploiting geospatial information from publicly available databases, providing a method that is applicable to any city in the world and requiring minimum configurations. A set of mathematical equations is defined for numerically assessing risk levels based on elevation, slope, and proximity to rivers, while the existence of emergency-related urban infrastructure is considered as a risk reduction factor. Then, computed risk levels are used to classify areas, allowing easy visualisation of flood risk for a city. This smart city approach not only serves as a valuable tool for assessing the expected flood risk based on different parameters but also facilitates the implementation of cutting-edge strategies to effectively mitigate critical situations, ultimately enhancing urban resilience to flood-related disaster.