Street Sweepers Research Articles

Prevalence and Associated Factors of Chronic Respiratory Symptoms among Street Sweepers in Bangkok, Thailand: A Cross-sectional Study.

Chronic respiratory diseases are becoming a more prominent cause of morbidity and mortality worldwide. Street sweepers are commonly found in low- and middle-income countries. This job involves outdoor work that exposes workers to various health hazards and air pollution, particularly affecting respiratory health. There is still limited research focusing specifically on street sweepers. The study aims to examine the prevalence of chronic respiratory symptoms and the associated factors in street sweepers in Bangkok, Thailand. We undertook a cross-sectional survey between February and April 2023. A multi-stage sampling technique was employed, stratifying the sample according to district locations within Bangkok, Thailand. Data were collected through a questionnaire assessing demographic characteristics, occupational and environmental factors, and respiratory symptoms using a modified version of the Medical Research Council questionnaire. Data analysis included bivariate analysis and multiple logistic regression. The response rate was 98.0% (n = 341). The prevalence of chronic respiratory symptoms among street sweepers in Bangkok, Thailand, with at least one respiratory symptom was reported by 33.7% of the participants, specifically cough (22%), phlegm (20.2%), dyspnea (17.6%), and wheeze (7.0%). The average age of the sample group was 43.2 years, with a majority being female (85.9%). Among the participants, 88.3% were non-smokers, while 37.2% reported exposure to secondhand smoke. All participants reported the use of respiratory protective equipment, with face masks used at 78.9%. 7.3% of the participants lived near sources of pollution, and 12.0% were involved in household pollution activities. An average annual air quality index in the workplace area was categorized as 'good' at 57.8%. Multiple logistic regression analysis revealed significant associations of chronic respiratory symptoms with the following factors: exposure to secondhand smoke [odds ratio (OR) =2.3, 95% confidence interval (CI) 1.3-4.2] and household activities (OR = 3.0, 95% CI 1.3-6.6). Exposure to secondhand smoke and indoor air pollutants in household environments are significant factors associated with the symptoms. Raising awareness about secondhand smoke hazards in household and environmental settings and promoting self-care practices related to various activities with potential exposure to indoor air pollution is crucial.

Perceived occupational health risks, noise and dust exposure levels among street sweepers in Mwanza City in Northern Tanzania.

Solid waste has been a major problem particularly in Sub-Saharan Africa countries as it has been increasing in several years. One of the methods employed in solid waste management is street sweeping which is done by street sweepers. Street sweepers are being predisposed to respiratory and non-respiratory infection like eye infection, skin infection and musculoskeletal disorders. This analytical cross-sectional study enrolled a total of 233 street sweepers to assess perceived occupational health risks, particulate matters (i.e., PM2.5, PM5 and PM10 measured in (mg/m3)) dust and noise exposure levels in decibel units-dB(A), and utilization of protective personnel equipment among street sweepers in Mwanza city, Northern Tanzania. Modified poison regression was used to determine the association between exposures variables (i.e., sociodemographic, and socioeconomic factors) and outcomes ((i.e., noise dose level and particulate matters))). More than half (50.2%) of the participants were aged between 46-80 years. Their Median age was 46(IQR: 28-59) years. Large percent (63.1%) of the participants reported that their working environment have high health risks. The Median concentrations of the noise dose and particulates matters were 85.4 (IQR = 76.4-92.3) for noise dose, 13426 (IQR = 9637-17632) for PM2.5, 5522 (IQR = 2453-7679) for PM5, and 2310(IQR = 1263-3201). The Median concentrations of the noise dose and particulates matters were 85.4 (IQR = 76.4-92.3) for noise dose in decibel units dB(A); 13426 (IQR = 9637-17632) for PM2.5; 5522 (IQR = 2453-7679) for PM5; and 2310(IQR = 1263-3201) for PM10. Individual Street sweepers in Mwanza city are highly exposed to noise dose and fine particulate matters at levels above the reference values for human of 85dB(A) and 5mg/m3 respectively, making it a public health issue that requires holistic public health measures.

Conceptual Design of a Trash Collecting Machine for Highways in Arequipa, Peru

Cleanliness, a crucial component of our daily life, is reflected in the significant role played by street sweepers day to day. Due to the limited manpower and the risks of the highway itself, it cannot be done effectively daily. Mechanization of road sweeping activity is gaining importance, especially in metropolitan cities. With the need for cleaning that requires less human effort and is adjusted to the dimensions of Peruvian highways, the objective of this work is to conceptually design a Trash Collection Machine (TCM) with a drag mechanism. With this, the aim is to improve efficiency and safety in cleaning, transforming urban waste management, and contributing to environmental sustainability. Highway “Variante de Uchumayo” (HVU) in Arequipa, Peru is considered as a practical case in this study. The methodology implemented for this design is based on the Pahl and Beitz Model. First, visits were made to the HVU, and the problems of accumulation, efficiency, and safety were recognized. Then task clarification, conceptual design, embodiment design, and detail design of the machine are carried out. As a result, the technical specifications and systems involved in Trash Collection Machine (TCM) are synthesized. Also, the TCM was evaluated technically and economically according to the standard VDI 2225, highlighting its superiority over the manual cleaning process. This solution offers an efficient and low-cost alternative for highway cleaning. Likewise, the manufacturing and automation of the machine are considered as a future study.

Global prevalence of musculoskeletal disorders among sanitary workers: a systematic review and meta-analysis

ABSTRACT Objectives. Sanitary workers are more likely to experience musculoskeletal disorders (MSDs) due to a lack of ergonomics principles and poor job design. Thus, this systematic review and meta-analysis aimed to quantify MSDs among sanitary workers. Methods. The PRISMA and PICOS protocols were used for flow diagrams and review questions, respectively. Articles published between 2000 and 2022 were eligible. The keywords ‘(Musculoskeletal Disorders) AND (Solid waste collectors *OR Street sweepers *OR Sewage workers *OR health facilities cleaners)’ and MeSH terms were utilized. The data were analyzed using STATA version 17 with a 95% confidence interval (CI). Results. A total of 158 papers were qualified, with 26 studies from 17 countries and a total of 6586 sanitary workers. The global prevalence of MSDs among sanitation workers was 40.52% (95% CI [32.47, 48.67]; p < 0.05). It was 43.32% (95% CI [31.98, 54.68]; p < 0.05) in high-income countries and 38.58% (95% CI [26.94, 50.18]; p < 0.05) in low-income countries. By subgroup analysis, it was 45.12% (95% CI [32.57, 57.67]; p < 0.05) for solid waste collectors, which is the highest prevalence among other workers. Conclusion. Current evidence shows that sanitation workers have a higher prevalence of occupationally associated MSDs, which might be lowered by using ergonomic work design principles.

Detecting Litter in Street Sweepers Using Deep Learning

Detecting Litter in Street Sweepers Using Deep Learning

Musculoskeletal discomfort and wrist flexor tendonitis among street sweepers and associated risk factors.

Street sweepers are reported to suffer from high rates of work-related musculoskeletal discomfort worldwide, especially in their wrists. The study aimed to 1) determine the prevalence of musculoskeletal disorders and 2) specifically determine the prevalence of wrist flexor tendonitis and its associated risk factors among street sweepers. Three hundred and eighty-five sweepers employed by the Faisalabad Waste Management Company (FWMC) participated in this cross-sectional study. A self-structured questionnaire was used to collect data: the first section provided demographic information, the second assessed musculoskeletal disorders, and the third section assessed the wrist flexor tendonitis among street sweepers. The mean age of the sweepers was 38.34 years. Out of 385 street sweepers, the prevalence of musculoskeletal discomfort was reported in 265 (68.83%). The prevalence of musculoskeletal discomfort in sweepers reported during COVID-19 according to the past 12 months, the highest three prevalence rates were 46.5% in the wrists/hands, 37.9% in the shoulders and 35.1% in the lower back. The three highest prevalence rates of musculoskeletal discomfort in sweepers according to the last 7 days were 29.6% in the wrists/hands, 24.4% in the lower back and 24.2% in the shoulders. Out of total 385 participants, prevalence of wrist flexor tendonitis was reported in 103 (26.8%) sweepers. Significant association was found (p < 0.05) between wrist flexor tendonitis and gender (p < 0.003), age (p < 0.05), working experience (p < 0.003), street sweeping distance (p < 0.01), number of brooms used per month (p < 0.002) and getting tired at the end of work (p < 0.001). The prevalence of musculoskeletal discomfort and wrist flexor tendonitis seen during COVID-19 is high among sweepers, with wrist/hand being the most commonly reported region for pain. This study emphasizes the importance of providing guidelines about effective precautionary healthcare measures for street sweepers.

Prevalence and determinants of occupational injuries among small-scale industry workers in sub-saharan Africa. A systematic review and meta-analysis

Occupational injuries are manifestations of diseases because of different exposure in the workplace like Small-Scale cement factories, tanneries, textile and/or street sweeping, and woodworkers all of which affect the health condition and productivity. In sub-Saharan Africa, several primary studies were conducted regarding the magnitude of occupational injuries with a prevalence of 68.89% in street sweepers and determinant factors with inconsistent results. This meta-analysis aimed to the pooled prevalence of occupational injuries and their associated factors in Sub-Saharan Africa among workers working in small-Scale industries. PubMed, African Journals Online, Google Scholar, Cochrane Library, and Direct Google were systematically searched to identify primary studies. Three authors performed data abstraction and quality assessment for each included study independently. Cochran’s Q-statistic and I-squared statistics were used to check heterogeneity. The random-effects models were used to estimate the pooled prevalence and associated factors of occupational injuries. Publication bias was checked by funnel plot and Egger’s test, and also sensitivity analyses were performed. 20 primary studies with 7,235 study participants were included in the Systematic review and meta-analysis of the pooled prevalence of occupational injuries among Small-Scale industry workers in Sub-Saharan Africa. The pooled prevalence of overall occupational injuries among Small-scale industry workers in Sub-Saharan Africa was 53.23% (95% CI= 44.71, 61.74). Training, Sleeping disturbance, and Educational level were significantly associated with occupational injuries. In this review, the pooled prevalence of occupational injuries was high. The findings of this study dictate the need for the implementation of workplace safety measures. Special attention is required for employees with lower educational levels and training.

Revolutionizing cleaning: The future of broomstick and dustpan design

In the context of increasing environmental awareness, the demand for sustainable products is on the rise. This research addresses the growing demand for sustainability by redesigning brooms and dustpans with eco-friendly materials, reducing waste and environmental impact. It emphasizes the goals of enhancing user experience, efficiency, durability, accessibility, and sustainability. A case study investigates the physical challenges faced by street sweepers and underscores the importance of anthropometric considerations in design. The resulting ergonomic redesign significantly reduces workload and musculoskeletal complaints, improving comfort and efficiency. The redesign introduces adjustable handles, lightweight materials, and a 3-in-1 brush system with eco-friendly components. The dustpan features an improved handle, an angled design for efficient debris collection, and a built-in cleaning comb. Both tools are constructed from lightweight yet durable materials and offer a foldable design for user convenience, emphasizing sustainability through eco-friendly materials. In conclusion, this holistic approach enhances the cleaning experience, promoting efficiency, user-friendliness, and environmental responsibility.

Faktor-Faktor Yang Berhubungan Dengan Kelelahan Kerja Pada Pekerja Penyapu Jalan Di Kota Surakarta

Street sweepers are workers under the Surakarta Environment Agency who focus on cleaning matters in the city area. The main task of a street sweeper is to clean up trash around the sidewalks, slow lanes, and along the main streets in the morning and evening. This can cause workers to easily feel tired. This research is quantitative research using analytic methods with a cross-sectional study design. The research population consisted of 220 street sweepers with a sample of 140 respondents. Sampling using a Simple random sampling technique. Data analysis techniques used the Somers'd test for bivariate tests and Ordinal Logistic Regression tests for multivariate tests. Somers'd correlation results showed that there is a significant relationship between the variables age (p= 0.000), work period (p= 0.000), sleep quality (p= 0.000), and workload (p= 0.000) on fatigue. Meanwhile, breakfast habits (p = 0.097) did not have a significant relationship with fatigue. The results of the Ordinal Logistic Regression test showed that the variable most related to fatigue is workload (OR = 25.305).

E-HEALTH ARMBAND REMINDER WITH GPS TRACKER FOR STREET SWEEPER OF CENRO CALAMBA CITY, LAGUNA

This study presents the development of an E-Health Armband Reminder with a GPS tracker designed specifically for Street sweepers of CENRO Calamba City, Laguna. The objective of this project is to enhance the safety and efficiency of street sweeping operations by providing real-time monitoring and reminders to the sweepers. The E-health Armband Reminder incorporates a GPS tracker that allows supervisors to track the location of the sweepers in real-time. This feature enables efficient deployment of resources and facilitates prompt assistance in case of emergencies or accidents. Additionally, the armband serves as a reminder tool, providing alerts and notifications for hydration, Weather, and safety protocols. The system's development involved extensive research, analysis of user requirements, and collaboration with the street sweepers and CENRO Calamba City. The armband's design and functionality were optimized to suit the specific needs and constraints of the street sweeping operation. Preliminary testing of the E-Health Armband Reminder demonstrated promising results, showing improved task management as the Attendance monitoring and increased safety awareness among the street sweepers.

Magnitude and possible risk factors of musculoskeletal disorders among street cleaners and solid waste workers: a cross-sectional study

BackgroundIn the absence of a standardized work environment, insurance system, occupational safety measures and expanding workload an uptrend of musculoskeletal disorders secondary to occupational hazards is observed among a wide range of occupations in developing countries including street sweepers/cleaners. The aim of this study is to determine the burden and potential factors associated with musculoskeletal disorders among street cleaners/solid waste collectors in Gondar town, Ethiopia.MethodsA cross-sectional study design was used to determine the burden and identify potential risk factors of musculoskeletal disorders among street cleaners. Street cleaners (n = 422) working experience of at least one year were randomly selected from the community at their respective work sites (street). A face-to-face interview recorded the participant’s response addressing socio-demographic, occupational, job satisfaction, disability related to basic ADL, physical measurements, and self-reported pain using the Nordic-Musculoskeletal questionnaire. The logistic regression model was created to identify potential factors associated with self-reported MSDs.ResultsThe sample consists of women street sweepers/cleaners (100%, n = 422, response rate 100%) with at least one-year of work experience with a mean age of 37.03 ± 8.26. About 40% of women sweepers were illiterate and 95% reported no job satisfaction. The overall prevalence of MSDs was 73% (n = 308, 95% CI; 68.5, 77.2), among them nearly 65% reported having experienced disability in performing basic ADL in the past 12 months. Low back pain was the most prevalent region (n = 216, 70.1% case versus MSDs n = 308). In univariate and multivariate logistics analysis, being overweight/obese (AOR of 4.91 (95%, 2.22, 10.87)), age group 35 and above (AOR 2.534 (1.51, 4.26)), not-satisfied with job (AOR 2.66 (1.05, 6.75)), and street cleaning distance of longer than 2 km (AOR 2.82 (1.64, 4.83)) were significantly associated with self-reported musculoskeletal disorder..ConclusionThis study demonstrated higher self-reported MSDs among street sweepers/cleaners. Modifiable predictors like overweight, lack of job satisfaction, and cleaning longer distance were identified to be associated. Hence, there is a need for ergonomic measures and policy to curb these factors to reduce the burden of MSD among women street sweepers.

Sero-prevalence of hepatitis viral infections among sanitary workers across worldwide: a systematic review and meta-analysis

BackgroundSanitation or sanitary workers are exposed to hepatitis virus infections because of filthy and dangerous working conditions. The current global systematic review and meta-analysis aimed to estimate the pooled sero-prevalence of occupationally associated hepatitis virus infection among them.MethodsPreferred Reporting Items for Systematic Reviews (PRISMA), and Population, Intervention, Comparison, Outcome and study design (PICOS) were used for flow diagram, and review questions, respectively. Four databases other methods were used published articles from 2000 to 2022. Boolean logic (AND, OR), MeSH, and keywords were used: (Occupation *OR Job *OR Work) AND (Hepatitis A *OR Hepatitis B virus *OR Hepatitis C virus *OR Hepatitis E virus) AND (Solid waste collectors [SWCs] *OR Street sweepers [SS] *OR Sewage workers [STWs] *OR health care facilities cleaners [HCFCs)) AND (Countries). Stata MP/17 software was used for pooled prevalence analysis, meta-regression analysis (Hedges) at a 95% confidence interval (CI:95%).ResultsA total of 182 studies were identified studies, a total of 28 studies were included from twelve countries. Of these, from developed (n = 7) and developing countries (n = 5). From total a of 9049 sanitary workers, 5951(66%), 2280 (25%) and 818 (9%) were STWs, SWCs and SS, respectively. Globally, the pooled sero-prevalence of occupational-related hepatitis viral infections among sanitary workers was 38.06% (95% CI: 30–0.46.12). Of this, it was 42.96% (95% CI: 32.63–53.29) and 29.81% (95% CI: 17.59–42.02) for high-income and low-income countries, respectively. Meanwhile, by sub-analysis, the highest pooled sero-prevalence of hepatitis viral infections by categories, type and year were 47.66% (95%CI: 37.42–57.90), 48.45% (95% CI: 37.95–58.96), and 48.30% (95% CI: 36.13–60.47) for SWTs, HAV, and 2000 to 2010 year, respectively.ConclusionThe consistency of the evidence suggests that sanitation workers, particularly sewage workers, are susceptible to occupationally acquired hepatitis regardless of their working conditions, necessitating significant changes to occupational health and safety regulations from governmental policies and other initiatives to reduce risks among sanitary workers.

A Prediction Model to Cost-Optimize Clean-Out of Permeable Interlocking Concrete Pavers

Permeable Interlocking Concrete Paver (PICP) systems provide onsite stormwater management by detaining runoff and removing contaminants. However, a major problem with PICPs is the significant maintenance cost associated with their clean-out to restore the original functionality, which discourages landowners and municipalities from adopting the systems. A combination of laboratory experiments and machine-learning techniques are applied to address this challenge. A total of 376 laboratory experiments were conducted to investigate four independent variables (cleaning equipment speed over the pavement, air speed in the cleaning jets, top opening width of the cupule, and filter media gradation) that affect the cleaning of PICPs. The Buckingham Pi-Theorem was used to express the four main input variables in three dimension-less parameters. This current investigation provides a novel understanding of variables affecting the sustainable and economically feasible maintenance of PICPs. A new model is derived to more accurately predict the percentage of mass removal from PICPs during clean-out using a machine-learning technique. The Group Method of Data Handling (GMDH) model exhibits high performance, with a correlation coefficient (R2) of 0.87 for both the training and testing stages. The established simple explicit equation can be applied to optimize the maintenance costs for industrial applications of Regenerative Air Street Sweepers for sustainable and cost-effective PICP maintenance. Pavements with larger surface areas are found to have lower maintenance costs ($/m2/year) compared to the ones with smaller surface areas. This study estimates $0.32/m2/year and $0.50/m2/year to maintain pavements with larger (5000 m2) and smaller (1000 m2) surface areas, respectively.

Deep Learning Implemented Visualizing City Cleanliness Level by Garbage Detection

In an urban city, the daily challenges of managing cleanliness are the primary aspect of routine life, which requires a large number of resources, the manual process of labour, and budget. Street cleaning techniques include street sweepers going away to different metropolitan areas, manually verifying if the street required cleaning taking action. This research presents novel street garbage recognizing robotic navigation techniques by detecting the city’s street-level images and multi-level segmentation. For the large volume of the process, the deep learning-based methods can be better to achieve a high level of classification, object detection, and accuracy than other learning algorithms. The proposed Histogram of Oriented Gradients (HOG) is used to features extracted while using the deep learning technique to classify the ground-level segmentation process’s images. In this paper, we use mobile edge computing to process street images in advance and filter out pictures that meet our needs, which significantly affect recognition efficiency. To measure the urban streets’ cleanliness, our street cleanliness assessment approach provides a multi-level assessment model across different layers. Besides, with ground-level segmentation using a deep neural network, a novel navigation strategy is proposed for robotic classification. Single Shot MultiBox Detector (SSD) approaches the output space of bounding boxes into a set of default boxes over different feature ratios and scales per attribute map location from the dataset. The SSD can classify and detect the garbage’s accurately and autonomously by using deep learning for garbage recognition. Experimental results show that accurate street garbage detection and navigation can reach approximately the same cleaning effectiveness as traditional methods.

Active Screening for Tuberculosis Among Street Sweepers in Ahmedabad City

Background &amp; Aims: Primary aim of Active Case Finding (ACF) is to ensure that active TB is detected early to reduce the risk of adverse outcomes as well as help in reducing TB transmission. There is a paucity of literature about prevalence of Tuberculosis among street sweepers. WHO described a high risk group for TB but it doesn’t include street sweepers though we are considering them at risk of TB due to their occupational exposure. Hence, active case finding among street sweepers is done. Materials and Methods: Cross-sectional study was conducted for active case finding of TB among street sweepers of North zone Ahmedabad. Symptomatic screening of all sweepers done and sweepers having any of the symptoms was investigated further by Chest X-ray and Sputum Microscopy. Sweeper who was diagnosed positive for TB, treatment was initiated as per NTEP guidelines. Results: Total 1200 sweepers were there in the north zone. At stage 1 43.5 % dropped out. 56 (8.25%, CI: 6.15-10.35) were having Presumptive TB. 28 sweepers participated for further testing. 50% (56-28=28) dropped out at the second stage. One Confirmed TB patient was identified and put on Treatment. Conclusion: We could reach approximately 50% of the total sweepers and the reason behind the low turnout could be the unprecedented event of covid19. Huge drops out at different stages of the screening process indicates poor health seeking behaviour, fear etc so further work to be done in this direction. Emphasis on usage of personal protective gears need to be given. Keywords: Presumptive TB, tobacco, personal protective gears.

Morbidity profile of Street Sweepers and Scavengers of selected municipalities in Malappuram District : A Cross Sectional Study

Occupational health deals with all aspects of health and safety in the workplace and has a strong focus on primary prevention of hazards. Street sweeping is a lowly and filthy occupation. In developing countries street sweepers and scavengers play important role in solid waste management system. Street sweepers are unaware of the use of protective devices in most of the areas. Unhygienic environment cause acute health risk of respiratory system and eye, accidents, injuries, cuts and wounds, skin infections, and animal bites. The present study intends to assess the morbidity profile of the sweepers and scavengers of Malappuram district by conducting a survey through personal interview method. The design is descriptive cross sectional study with sample of both genders satisfying the inclusion criteria (selected by stratified random sampling technique). The number of sweepers in each municipality is different so proportion based calculation is used for the detection of sample size. The data collected by telephonic interview method using questionnaire of the study of occupational health analysis of conservancy workers analyzed using the chi square test. Among the participants 78% experienced musculoskeletal symptoms, 60% experienced dermatological symptoms and 41% experienced respiratory symptoms. Less than 5% of the participants experience Cough, Cold, Fever, Chickenpox, Leptospirosis, Typhoid, Pneumonia and Dengue. 31% of the workers had headache.

Assessing the Benefits of Early and Repeated Maintenance with Regenerative Air Street Sweepers on Permeable Interlocking Concrete Pavements

Assessing the Benefits of Early and Repeated Maintenance with Regenerative Air Street Sweepers on Permeable Interlocking Concrete Pavements

HUBUNGAN DURASI KERJA PENYAPU JALAN DENGAN TERJADINYA NYERI PUNGGUNG BAWAH DI KOTA AMBON TAHUN 2021

Low back pain (LBP) is one of the musculoskeletal disorders that often occur in daily life. Work-related LBP can lead to lost working hours and reduced work efficiency. Street sweeper is one of the most important jobs, if the street sweeper works for an excessive duration of work, it can cause low back pain. This study aims to determine the relationship between work duration and low back pain in street sweepers in Ambon City. The benefits of this research can be used as a reference for the government to set a policy on working hours for street sweepers. This research is a quantitative analytic study that uses Cross Sectional design. Sampling was done by consecutive sampling method and using the Oswestry Disability Index (ODI) Questionnaire. The data were analyzed using the Statistical Package for the Social Science (SPSS) program. The results of this study showed that from 72 respondents, 67 respondents (93.1%) experienced low back pain in the Minimal Disability category and 5 respondents (6.9%) experienced low back pain in the Moderate Disability category. Bivariate analysis using Chi-Square test obtained p value = 0.005 (p &lt;0.05) which means there is a significant relationship between street sweeper’s work duration and low back pain in City of Ambon in 2021.

Exposure Assessment of the Traffic Aides and Street Sweepers of Taganito Mining Corporation (TMC) to Noise Pollution

Noise pollution is an issue for the environment in fast-growing and expanding countries. It is commonly created within many industrial buildings, but it can also be found in traffic on highways, trains, and airplanes. Road workers, such as traffic aids and street sweepers, are highly exposed to noise levels that endanger their hearing. This research project aimed to assess the level of noise pollution exposure among TMC traffic aids and street sweepers, as well as the effects on their physical, mental, and emotional well-being. The time range set by National Pollution Control Commission (NPCC) included morning, daytime, evening, and night time where were adapted in measuring the noise level. Designated Two (2) sampling locations within Taganito Mining Corporation (TMC) where traffic aids and street sweepers are primarily stationed. Based on the results, when compared to Department Administrative Order 2000-98 (DAO 2000-98) or the Mine Safety and Health Standards, all the noise levels measured in the 2 stations were all below 90 dB. Thus, traffic aides and street sweepers of TMC within 8 hours’ exposure are within the permissible limit. Unwanted noise mainly from heavy equipment such as bulldozer trucks, dump trucks, loaders, excavators, water trucks, and garbage trucks, as well as public transportation vehicles such as ambulances, buses, vans, and motorbikes are observable. Thus, it is recommended that further research to the community area will be carried out.

Exposure Assessment of the Traffic Aides and Street Sweepers of Taganito Mining Corporation (TMC) to Noise Pollution

Noise pollution is an issue for the environment in fast-growing and expanding countries. It is commonly created within many industrial buildings, but it can also be found in traffic on highways, trains, and airplanes. Road workers, such as traffic aids and street sweepers, are highly exposed to noise levels that endanger their hearing. This research project aimed to assess the level of noise pollution exposure among TMC traffic aids and street sweepers, as well as the effects on their physical, mental, and emotional well-being. The time range set by National Pollution Control Commission (NPCC) included morning, daytime, evening, and night time where were adapted in measuring the noise level. Designated Two (2) sampling locations within Taganito Mining Corporation (TMC) where traffic aids and street sweepers are primarily stationed. Based on the results, when compared to Department Administrative Order 2000-98 (DAO 2000-98) or the Mine Safety and Health Standards, all the noise levels measured in the 2 stations were all below 90 dB. Thus, traffic aides and street sweepers of TMC within 8 hours’ exposure are within the permissible limit. Unwanted noise mainly from heavy equipment such as bulldozer trucks, dump trucks, loaders, excavators, water trucks, and garbage trucks, as well as public transportation vehicles such as ambulances, buses, vans, and motorbikes are observable. Thus, it is recommended that further research to the community area will be carried out.