Submitted:
21 December 2023
Posted:
22 December 2023
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Abstract
Keywords:
1. Introduction
Objectives
2. Background
3. Methodology
4. Results and Discussions
Exposure Outcomes
Hazardous Agents
At-Risk Populations
Occupational Tasks
Mitigation Strategies
Limitations
Future Work Needed
5. Conclusion
References
- Beamer, P.I.; Canales, R.A.; Ferguson, A.C.; Leckie, J.O.; Bradman, A. Relative Pesticide and Exposure Route Contribution to Aggregate and Cumulative Dose in Young Farmworker Children. Int. J. Environ. Res. Public Heal. 2012, 9, 73–96. [Google Scholar] [CrossRef] [PubMed]
- Black, J.C.; Welday, J.N.; Buckley, B.; Ferguson, A.; Gurian, P.L.; Mena, K.D.; Yang, I.; McCandlish, E.; Solo-Gabriele, H.M. Risk Assessment for Children Exposed to Beach Sands Impacted by Oil Spill Chemicals. Int. J. Environ. Res. Public Heal. 2016, 13, 853. [Google Scholar] [CrossRef] [PubMed]
- Chowdhury, O. S., Rashid, R., & Karim, M. R. (2019, January). E. Coli Removal Efficiency and Physical-Chemical Parameter Analysis of Mineral Pot Filters in Bangladesh. In In2nd International Conference on Water and Environmental Engineering (iCWEE-2019), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 2019, pp 1-8, ISBN: 978-0-6482681-1-6.
- Ferguson, A.C.; Black, J.C.; Sims, I.B.; Welday, J.N.; Elmir, S.M.; Goff, K.F.; Higginbotham, J.M.; Solo-Gabriele, H.M. Risk Assessment for Children Exposed to Arsenic on Baseball Fields with Contaminated Fill Material. Int. J. Environ. Res. Public Heal. 2018, 15, 67. [Google Scholar] [CrossRef] [PubMed]
- Ferri, G.M.; Specchia, G.; Mazza, P.; Ingravallo, G.; Intranuovo, G.; Guastadisegno, C.M.; Congedo, M.L.; Lagioia, G.; Loparco, M.C.; Giordano, A.; et al. Risk of lymphoma subtypes by occupational exposure in Southern Italy. J. Occup. Med. Toxicol. 2017, 12, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Foerster, C.; Ríos-Gajardo, G.; Gómez, P.; Muñoz, K.; Cortés, S.; Maldonado, C.; Ferreccio, C. Assessment of Mycotoxin Exposure in a Rural County of Chile by Urinary Biomarker Determination. Toxins 2021, 13, 439. [Google Scholar] [CrossRef] [PubMed]
- Karim, M.R., Khan, M.A.I., Chowdhury, O.S. and Niloy, R.R. (2018) Assessment of Various Methods to Remove Pathogen from Raw Water to Meet Who Standard for Domestic Consumption. 7th Brunei International Conference on Engineering and Technology 2018 (BICET 2018), Ban-dar Seri Begawan, 12-14 November 2018, 1-4.
- Khoshakhlagh, A.H.; Yazdanirad, S.; Saberi, H.R.; Liao, P.-C. Health risk assessment of exposure to various vapors and fumes in a factory of automobile manufacturing. Heliyon 2023, 9, e18583. [Google Scholar] [CrossRef] [PubMed]
- Li, C.; Han, D.; Wei, X.; Yang, J.; Wu, C. Health Risk Assessment of Inhalable Dust Exposure during the Welding and Grinding Process of Subway Aluminum Alloy Components. Buildings 2023, 13, 2469. [Google Scholar] [CrossRef]
- Niloy, M.R.R. and Chowdhury, O.S. (2017) Effectiveness of Household Water Treatment Technologies Based on WHO Guidelines. Master’s Thesis, Islamic University of Technology (IUT), Gazipur.
- Oginawati, K.; Nathanael, R.J.; Chazanah, N.; Suharyanto; Prabandari, D.; Basuki, M.F.; Oclandhi, B.; Santoso, M.; Febriana, S.A.; Nugrahaningsih, D.A.; et al. Occupational lead exposure health risk assessment and heme biosynthesis: A study on batik artisans in yogyakarta, Indonesia. Heliyon 2023, 9, e19994. [Google Scholar] [CrossRef] [PubMed]
- Persoons, R.; Arnoux, D.; Monssu, T.; Culié, O.; Roche, G.; Duffaud, B.; Chalaye, D.; Maitre, A. Determinants of occupational exposure to metals by gas metal arc welding and risk management measures: A biomonitoring study. Toxicol. Lett. 2014, 231, 135–141. [Google Scholar] [CrossRef] [PubMed]
- Requena-Mullor, M.; Alarcón-Rodríguez, R.; Parrón-Carreño, T.; Martínez-López, J.J.; Lozano-Paniagua, D.; Hernández, A.F. Association between Crystalline Silica Dust Exposure and Silicosis Development in Artificial Stone Workers. Int. J. Environ. Res. Public Heal. 2021, 18, 5625. [Google Scholar] [CrossRef] [PubMed]

| Assessments | Sector | Exposure Material | Sample Collection | Analysis | Statistics | References |
|---|---|---|---|---|---|---|
| Hazard, Exposure, Dose, Risk | Baseball fields | Arsenic | Soil samples | Concentrations measurement | EPA standardized equations for exposure and dose calculations | Ferguson et al., 2018 |
| Hazard, Exposure | Beach sand | Oil spill chemicals | Air and sand samples | Gas chromatography ion trap mass spectrometry (Organic), inductively coupled plasma mass spectroscopy (Metal) | Point estimates for exposure parameters, Monte Carlo simulation for sensitivity analysis | Black et al., 2016 |
| Dose and Risk | Batik workers | Lead and u-ALA | Blood and Urine samples | X-Ray Fluorescence (lead), spectrophotometry for u-ALA, HiCN colorimetric method for hemoglobin measurement | Hazard Quotients (HQ) for dermal and inhalation routes, Excess Lifetime Cancer Risk (ELCR) for carcinogenic risks | Oginawati et al., 2023 |
| Exposure | Welding industry | Chromium (Cr), Nickel (Ni), Manganese (Mn) | Urine samples | Inductively coupled plasma mass spectrometry | Not specified | Persoons et al., 2014 |
| Exposure | University Hospital of Bari and "Moscati" in Southern Italy | Carcinogens and pesticides | Blood samples | Univariate and multivariate analyses | Non-parametric methods | Ferri et al., 2017 |
| Exposure, Risk | Salinas Valley | Chlorpyrifos and Diazinon | Pesticide exposure data | CASE model for exposure estimation, PBPK model for dose estimation | Benchmark dose values and relative potency factors (RPFs) for cumulative risk assessment | Beamer et al., 2012 |
| Health Risk | Automobile manufacturing factory | BTEX, Styrene, 2-propanol, 2-butoxyethanol, Vinyl chloride, Metal fumes | Air samples | Measurement vapors by adsorbent tubes and fumes by mixed cellulose esters (MCE) membrane filters | HQ for non-carcinogenic risks, LCR for carcinogenic risks | Khoshakhlagh et al., 2023 |
| Health Risk | Subway Aluminum Alloy Body Workshop | Aluminum dust | Dust samples | Measurement of TSP, PM10, and PM2.5 using specific equipment | HQ for non-carcinogenic risks, CR for carcinogenic risks | Li et al., 2023 |
| Diet and Occupation, Exposure, Risk | MAUCO participants | Mycotoxins | Urine samples, Food questionnaires | LC-MS analysis for mycotoxin quantification | Probable daily intake (PDI) adjusted for creatinine concentration | Foerster et al., 2021 |
| Health Risk through data mining | Artificial stone industry | Silica dust | Medical records and clinical information | Data mining and analysis | Multiple binary logistic regression analysis | Requena-Mullor et al., 2021 |
| Limitations | Paper |
|---|---|
| Lack of precise data on player behavior and exposure patterns | Ferguson et al., 2018 |
| Excluded dispersants due to lack of human toxicological data | Black et al., 2016 |
| Small sample size; Limited focus on lead exposure | Oginawati et al., 2023 |
| Limited industrial hygiene resources; Focus on urinary biomarker levels rather than inherent toxicity of metals. | Persoons et al., 2014 |
| Small sample size and potential instability in estimates | Ferri et al., 2017 |
| Uncertainties in exposure parameters | Beamer et al., 2012 |
| Limited study scope in terms of substances and locations | Khoshakhlagh et al., 2023 |
| Absence of female workers in the research; Uncertainties in exposure parameters | Li et al., 2023 |
| Potential health effects of mycotoxin are not assessed | Foerster et al., 2021 |
| Limited sample size; Variations among studies in age and risk factors | Requena-Mullor et al., 2021 |
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