124
Views
4
CrossRef citations to date
0
Altmetric
Risk Assessment Articles

Health Risk Assessment of Urban Surface Waters Based on Real-Time PCR Detection of Typical Pathogens

&
Pages 329-337 | Received 09 Jul 2010, Published online: 16 Mar 2012
 

ABSTRACT

Typical enteric pathogens including enteroviruses, Salmonella typhi, Shigella spp., and Eschierichia coli were selected and monitored during a 1-year period in urban surface waters using the real-time polymerase chain reaction (PCR) method. By considering two routes of human exposure to urban surface waters (i.e., drinking water and involuntary intake), and supposing that the dose–response relation may follow either an exponential model or the Beta-Poisson model, health risk assessment was conducted to estimate the safety under a given acceptable risk level upon exposure to each water and to evaluate the required level of pathogen inactivation for safeguarding human health. As a result, it was found that human health risk due to enteroviruses is often greater than that due to bacterial pathogens, and greater removal of enteroviruses would be required for safeguarding at the same acceptable risk level.

ACKNOWLEDGMENTS

This research was supported by the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) (Grant No. IRT0853), National Natural Science Foundation of China (Grant No. 50838005), China postdoctoral Science Foundation (Grant No. 20100470086) and Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No.11JK0765).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 358.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.