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Risk assessment and disease burden of legionella presence in cooling towers of Iran's central hospitals.
Jalili, Mahrokh; Ehrampoush, Mohammad Hassan; Zandi, Hengameh; Ebrahimi, Ali Asghar; Mokhtari, Mehdi; Samaei, Mohammad Reza; Abbasi, Fariba.
Afiliação
  • Jalili M; Department of Environmental Health Engineering, Genetic and Environmental Adventures Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Ehrampoush MH; Student Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Zandi H; Department of Environmental Health Engineering, Environmental Science and Technology Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Ebrahimi AA; Department of Environmental Health Engineering, Genetic and Environmental Adventures Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Mokhtari M; Department of Microbiology, School of Public Health, Research Center for Food Hygiene and Safety, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Samaei MR; Department of Environmental Health Engineering, Genetic and Environmental Adventures Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Abbasi F; Department of Environmental Health Engineering, Genetic and Environmental Adventures Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Environ Sci Pollut Res Int ; 28(46): 65945-65951, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34327641
ABSTRACT
Regular monitoring and measurement of Legionella in tower water and preventive measures against contamination are particularly important in hospitals. This study aimed at risk assessment and disease burden because of legionella presence in cooling towers of Iran's central hospitals. Then its correlation with temperature, pH, turbidity, residual chlorine, and EC was investigated by the Pearson test. The health risk and burden of diseases caused by Legionella exposure were determined using QMRA and DALY models. Statistical analysis and modeling were performed in MATLAB2018. Of the total samples, 30-43% was infected with Legionella. The mean concentrations in hospital A and B were 5-102.5 ± 10 and 5-89.7 ± 0.7 CFU/L, respectively. Among environmental factors, turbidity and pH were the most effective factors in increasing and decreasing Legionella concentration, respectively. According to the QMRA model, the risks of Legionella infections and annual mortality in both hospitals were 0.2-0.3, 0-0.19, 2-2.9 × 10-5, and 0-0.7 × 10-5, respectively, which was higher than the acceptable risk range for Legionella (10-4-10-7). However, the trend of its change was negatively correlated with time (RB = - 0.77). According to the results, the concentration of Legionella and the exposure risk in both hospitals were higher than the permissible range, which is necessary to decrease to 0.1 current concentrations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Legionella / Legionella pneumophila Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Legionella / Legionella pneumophila Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2021 Tipo de documento: Article