Next Article in Journal
A Methodology for the Fast Comparison of Streamwater Diurnal Cycles at Two Monitoring Points
Previous Article in Journal
Scaling up Photoelectrocatalytic Reactors: A TiO2 Nanotube-Coated Disc Compound Reactor Effectively Degrades Acetaminophen
Previous Article in Special Issue
Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri
 
 
Correction to Water 2019, 11(9), 1850.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Rasheduzzaman, M., et al. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850

1
Department of Civil, Architectural and Environmental Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA
2
The Biodesign Institute Center for Environmental Health Engineering & The School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85281, USA
*
Author to whom correspondence should be addressed.
Water 2019, 11(12), 2523; https://doi.org/10.3390/w11122523
Submission received: 6 November 2019 / Accepted: 7 November 2019 / Published: 28 November 2019
(This article belongs to the Special Issue Health Risks of Alternative Water Sources)
The authors regret to report that the paper “Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri” contains some erroneous computations.
An error in the supplementary Table S2 occurred due to confusion between the ‘natural log’ versus ‘base 10’ conversion. The errors do not influence the larger message of the study but do result in lower target concentrations for N. fowleri.
The authors wish to make the following corrections to this paper [1]:
In the ‘Abstract’ Section:
  • Thirteenth sentence (lines 13–15)
    For N. fowleri, based on the DALY approach, critical concentrations were 0.000030 N. fowleri/L for swimming and 0.00000060 N. fowleri/L for neti pot™ use scenario.
  • Seventeenth sentence (lines 17–18)
    For N. fowleri, the 10−4 annual risk target approach resulted in 0.022 N. fowleri/L and the DALY approach resulted in 0.00000064 N. fowleri/L for the neti pot™ scenario.
In the ‘Materials and Methods’ Section:
  • 2.1 Risk Characterization, Equation (2) descriptions
    where, DW is the disability weight, LL is the average duration of the case until death (years) and LD is years lived with infection/illness for non-fatal cases.
In the ‘Results’ Section:
  • 3.1 Dose-Response Model, first paragraph (lines 1–3)
    The details of the goodness of fit (i.e., deviance and combined AIC values) for various dose–response models for N. fowleri are shown in Table 4.
  • Table 4
    Third column heading “MLE Estimate” should be changed to “Deviance”.
  • 3.1 Dose–Response Model, second paragraph (lines 2–5)
    The maximum likelihood estimates for beta-Poisson model parameters alpha (α) and N50 were found to be 1.59 and 156, respectively, from 10,000 bootstrap iterations. The 95% confidence interval for alpha (α) was (0.93, 72) and the 95% confidence interval for N50 was (92, 254).
  • 3.2 Risk Characterization, first paragraph (lines 4–6)
    For P. aeruginosa, the risk of illness per event calculated based on DALY was 2.81 × 10−9, which was two orders of magnitude lower than the per event risk of illness based on the annual risk metric (2.74 × 10−7).
  • 3.2 Risk Characterization, second paragraph (lines 1–5)
    For N. fowleri, the risk of death for neti pot™ uses per event calculated based on DALYs was 4.77 × 10−10, which was five orders of magnitude lower than the per event risk of death calculated based on annual risk metric (1.67 × 10−5). Similarly, for N. fowleri exposure during swimming, DALY and annual risk based per event risks followed the same pattern as neti pot™ exposure, i.e., a five orders of magnitude difference in the risk of death.
  • 3.3 Concentrations, second paragraph (lines 2–4)
    The highest critical concentration for N. fowleri was obtained for the swimming scenario using the annual risk metric (mean concertation 1.4 N. fowleri/L with a 95% confidence interval of (0.29, 4.0)).
  • 3.3 Concentrations, third paragraph (lines 1–3)
    Similarly, the concentration for the neti pot™ scenario was found to be 0.021 N. fowleri/L with a 95% confidence interval of (0.010, 0.034) for the annual risk approach. Based on the DALY approach, limits of concentrations were 0.000030 N. fowleri/L for swimming and 0.00000060 N. fowleri/L for neti pot™ use scenario.
  • 3.3 Concentrations, fourth paragraph (lines 2–4)
    Considering the hot water scenario, the annual risk approach resulted in 0.022 N. fowleri/L, and the DALY approach resulted in 0.00000064 N. fowleri/L for the neti pot™ scenario (Scenario 5).
In the ‘Discussion’ Section:
  • Fifth paragraph (lines 3–5)
    In general, the tolerable critical concentrations of N. fowleri are much lower compared to those for P. aeruginosa except for the swimming scenario with the annual risk metric which is still more than an order of magnitude below the P. aeruginosa values.
  • Fifth paragraph (lines 9–14)
    The tolerable mean critical concentration of N. fowleri for the swimming scenario with the annual risk metric has a mean concentration 1.4 CFU/L, with a range from 0.29 to 4.0 CFU/L. Given that the end response is death with a 100% percent mortality rate, it may be wise to pick a lower range of critical concentration (0.29 CFU/L) for developing standards, and the same can be applied for developing standards for other scenarios related to N. fowleri.
  • Fifth paragraph (lines 15–17)
    Considering 50 cells of N. fowleri and 200 L as a volume of water sample to be filtered, the detection limit of N. fowleri would be 0.25 N. fowleri/L which is also aligned with our calculated boundary concentration of N. fowleri using the annual risk metric.
  • Sixth paragraph (lines 1–2)
    Higher tolerable concentration standard can be set for using hot plumbing water for contact lenses exposure scenarios for P. aeruginosa but not for exposure scenarios for N. fowleri.
In the ‘Acknowledgments’ Section:
1. Please add this line after the last line of the current acknowledgments
The authors are grateful to Dr. Jade Mitchell and Kara Dean at Michigan State University for pointing out the errors in our dose–response parameters that prompted us to revise and correct the manuscript with updated results.
In the ‘Supplementary Materials’ Section:
1. Table S2
The authors would like to apologize for any inconvenience caused to the readers by these changes. The manuscript will be updated, and the original will remain online on the article webpage, with a reference to this Correction.

References

  1. Rasheduzzaman, M.; Singh, R.; Haas, C.N.; Tolofari, D.; Yassaghi, H.; Hamilton, K.A.; Yang, Z.; Gurian, P.L. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850. [Google Scholar] [CrossRef] [Green Version]
Table 3. Monte Carlo input parameters for P. aeruginosa and N. fowleri.
Table 3. Monte Carlo input parameters for P. aeruginosa and N. fowleri.
ParameterUnitValueDistributionSource
P. aeruginosa
alpha 2.5% = 0.115; 5% = 0.124; 95% = 0.386Gamma[49]
N50 2.5% = 4730; 5% = 6010; 95% = 70,500Gamma[49]
Contact (Drop*)mL/useLikeliest = 0.05; Min = 0.01; Max = 0.15TriangularAssumption
Contact (E.M.Φ)mL/useLikeliest = 0.062; Min = 0.052; Max = 0.07TriangularMeasured by this study
N. fowleri
alpha 2.5% = 0.84; 5% = 0.93; 95% = 72GammaFit by this study
N50 2.5% = 82; 5% = 92; 95% = 254Gamma
Contact (Swimming)mL/useLikeliest = 1; Min = 0.1; Max = 10TriangularAssumption
Contact (Neti Pot™)mL/useLikeliest = 180; Min = 120; Max = 240Triangular[48]
Notes: Drop* represents the contact rate based on the drop scenarios; E.M.Φ represents the contact rate based on the experimental measurements of water volume in contact lenses.
Table 5. Risk of illness/death based on DALYs and annual risk approach.
Table 5. Risk of illness/death based on DALYs and annual risk approach.
ApproachRisk of Illness/DeathP. aeruginosaN. fowleri
Neti Pot™Swimming
DALYsAnnual1.03 × 10−62.86 × 10−92.45 × 10−9
Per Event2.81 × 10−94.77 × 10−103.50 × 10−10
Annual RiskAnnual1.00 × 10−41.00 × 10−41.00 × 10−4
Per Event2.74 × 10−71.67 × 10−51.43 × 10−5
Table 6. Concentration of P. aeruginosa and N. fowleri before and after heat inactivation 1.
Table 6. Concentration of P. aeruginosa and N. fowleri before and after heat inactivation 1.
Risk MetricP. aeruginosa Conc. (CFU/L) (95% CI)N. fowleri Conc. (N. fowleri/L) (95% CI)Heat Inactivation Conc.
P. aeruginosa (CFU/L)N. fowleri (N. fowleri/L)
Contact lens (Drop)
(Scenario 1a)
Contact lens (E.M.) (Scenario 1b)Neti Pot™ (Scenario 2)Swimming (Scenario 3)Drop (Scenario 4a)E.M. (Scenario 4b)Neti Pot™ (Scenario 5)
DALY0.33 (0.02–1.8)0.30 (0.02–0.99)0.00000060 (0.00000030–0.0000010)0.000030 (0.000010–0.00010)0.600.550.00000064
Annual Risk33 (2.0–118)30 (2.3–100)0.021 (0.010–0.034)1.4 (0.29–4.0)61550.022
Notes: 1 EPA has generally applied the 1 in 10,000 risk target to the risk of infection to provide a margin of safety that accounts for secondary transmission. In this study, neither the dose–response model provided infection as an endpoint (endpoint of the N. fowleri model was death and endpoint of the P. aeruginosa model was illness). If one wished to provide the additional margin of safety associated with infection as an endpoint, one would need to estimate the probability of illness/infection based on sources such as Cheng et al. (1999) [54] and multiply the concentrations provided in this study by that probability.
Table S2. Best fit parameters for the beta-Poisson model for N. fowleri, from 10,000 bootstrap iterations.
Table S2. Best fit parameters for the beta-Poisson model for N. fowleri, from 10,000 bootstrap iterations.
ParameterMLEPercentiles
0.5%2.5%5%95%97.5%99.5%
Alpha1.590.720.840.9372117512946
N50156638292254276322

Share and Cite

MDPI and ACS Style

Rasheduzzaman, M.; Singh, R.; Haas, C.N.; Tolofari, D.; Yassaghi, H.; Hamilton, K.A.; Yang, Z.; Gurian, P.L. Correction: Rasheduzzaman, M., et al. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850. Water 2019, 11, 2523. https://doi.org/10.3390/w11122523

AMA Style

Rasheduzzaman M, Singh R, Haas CN, Tolofari D, Yassaghi H, Hamilton KA, Yang Z, Gurian PL. Correction: Rasheduzzaman, M., et al. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850. Water. 2019; 11(12):2523. https://doi.org/10.3390/w11122523

Chicago/Turabian Style

Rasheduzzaman, Md, Rajveer Singh, Charles N. Haas, Dienye Tolofari, Hamed Yassaghi, Kerry A. Hamilton, Zhao Yang, and Patrick L. Gurian. 2019. "Correction: Rasheduzzaman, M., et al. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850" Water 11, no. 12: 2523. https://doi.org/10.3390/w11122523

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop