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Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water.

Frontiers in microbiology

Weller D, Brassill N, Rock C, Ivanek R, Mudrak E, Roof S, Ganda E, Wiedmann M.
PMID: 32117154
Front Microbiol. 2020 Feb 06;11:134. doi: 10.3389/fmicb.2020.00134. eCollection 2020.

Agricultural water is an important source of foodborne pathogens on produce farms. Managing water-associated risks does not lend itself to one-size-fits-all approaches due to the heterogeneous nature of freshwater environments. To improve our ability to develop location-specific risk management...

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Weller D, Brassill N, Rock C, et al. Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water. Front Microbiol. 2020;11:134doi: 10.3389/fmicb.2020.00134.
Weller, D., Brassill, N., Rock, C., Ivanek, R., Mudrak, E., Roof, S., Ganda, E., & Wiedmann, M. (2020). Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water. Frontiers in microbiology, 11134. https://doi.org/10.3389/fmicb.2020.00134
Weller, Daniel, et al. "Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water." Frontiers in microbiology vol. 11 (2020): 134. doi: https://doi.org/10.3389/fmicb.2020.00134
Weller D, Brassill N, Rock C, Ivanek R, Mudrak E, Roof S, Ganda E, Wiedmann M. Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water. Front Microbiol. 2020 Feb 06;11:134. doi: 10.3389/fmicb.2020.00134. eCollection 2020. PMID: 32117154; PMCID: PMC7015975.
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Eating fish for two.

Nutrition bulletin

Strain J.
PMID: 25132804
Nutr Bull. 2014 Jun;39(2):181-186. doi: 10.1111/nbu.12088.

This article is based on the British Nutrition Foundation's Annual Lecture, which focused on maternal fish consumption and the effects of methylmercury (MeHg) on fetal development, with respect to current guidance and policy on fish consumption during pregnancy. Fish...

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Strain J. Eating fish for two. Nutr Bull. 2014;39(2):181-186doi: 10.1111/nbu.12088.
Strain, J. (2014). Eating fish for two. Nutrition bulletin, 39(2), 181-186. https://doi.org/10.1111/nbu.12088
Strain, Jj. "Eating fish for two." Nutrition bulletin vol. 39,2 (2014): 181-186. doi: https://doi.org/10.1111/nbu.12088
Strain J. Eating fish for two. Nutr Bull. 2014 Jun;39(2):181-186. doi: 10.1111/nbu.12088. PMID: 25132804; PMCID: PMC4131443.
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Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production.

Frontiers in sustainable food systems

Weller D, Belias A, Green H, Roof S, Wiedmann M.
PMID: 32440656
Front Sustain Food Syst. 2020 Feb;3. doi: 10.3389/fsufs.2019.00124. Epub 2020 Feb 06.

There is a need for science-based tools to (i) help manage microbial produce safety hazards associated with preharvest surface water use, and (ii) facilitate comanagement of agroecosystems for competing stakeholder aims. To develop these tools an improved understanding of...

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Weller D, Belias A, Green H, et al. Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production. Front Sustain Food Syst. 2020;3doi: 10.3389/fsufs.2019.00124.
Weller, D., Belias, A., Green, H., Roof, S., & Wiedmann, M. (2020). Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production. Frontiers in sustainable food systems, 3. https://doi.org/10.3389/fsufs.2019.00124
Weller, Daniel, et al. "Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production." Frontiers in sustainable food systems vol. 3 (2020). doi: https://doi.org/10.3389/fsufs.2019.00124
Weller D, Belias A, Green H, Roof S, Wiedmann M. Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production. Front Sustain Food Syst. 2020 Feb;3. doi: 10.3389/fsufs.2019.00124. Epub 2020 Feb 06. PMID: 32440656; PMCID: PMC7241490.
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Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children.

Journal of developmental origins of health and disease

Barrett E, Thurston SW, Harrington D, Bush NR, Sathyanarayana S, Nguyen R, Zavez A, Wang C, Swan S.
PMID: 33336644
J Dev Orig Health Dis. 2020 Dec 18;1-10. doi: 10.1017/S2040174420001270. Epub 2020 Dec 18.

Prenatal hormones have been proposed as key factors impacting child development as well as long-term health and disease. Digit ratio (the ratio of the lengths of the second to fourth digits; 2D:4D) has been proposed as a sexually dimorphic,...

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Barrett E, Thurston SW, Harrington D, et al. Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children. J Dev Orig Health Dis. 2020;1-10doi: 10.1017/S2040174420001270.
Barrett, E., Thurston, S. W., Harrington, D., Bush, N. R., Sathyanarayana, S., Nguyen, R., Zavez, A., Wang, C., & Swan, S. (2020). Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children. Journal of developmental origins of health and disease, 1-10. https://doi.org/10.1017/S2040174420001270
Barrett, Emily, et al. "Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children." Journal of developmental origins of health and disease vol. (2020): 1-10. doi: https://doi.org/10.1017/S2040174420001270
Barrett E, Thurston SW, Harrington D, Bush NR, Sathyanarayana S, Nguyen R, Zavez A, Wang C, Swan S. Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children. J Dev Orig Health Dis. 2020 Dec 18;1-10. doi: 10.1017/S2040174420001270. Epub 2020 Dec 18. PMID: 33336644; PMCID: PMC8211903.
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A General Class of Test Statistics for Van Valen's Red Queen Hypothesis.

Journal of applied statistics

Wiltshire J, Huffer FW, Parker WC.
PMID: 24910489
J Appl Stat. 2014 Sep 01;41(9):2028-2043. doi: 10.1080/02664763.2014.907394.

Van Valen's Red Queen hypothesis states that within a homogeneous taxonomic group the age is statistically independent of the rate of extinction. The case of the Red Queen hypothesis being addressed here is when the homogeneous taxonomic group is...

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Wiltshire J, Huffer FW, Parker WC. A General Class of Test Statistics for Van Valen's Red Queen Hypothesis. J Appl Stat. 2014;41(9):2028-2043doi: 10.1080/02664763.2014.907394.
Wiltshire, J., Huffer, F. W., & Parker, W. C. (2014). A General Class of Test Statistics for Van Valen's Red Queen Hypothesis. Journal of applied statistics, 41(9), 2028-2043. https://doi.org/10.1080/02664763.2014.907394
Wiltshire, Jelani, et al. "A General Class of Test Statistics for Van Valen's Red Queen Hypothesis." Journal of applied statistics vol. 41,9 (2014): 2028-2043. doi: https://doi.org/10.1080/02664763.2014.907394
Wiltshire J, Huffer FW, Parker WC. A General Class of Test Statistics for Van Valen's Red Queen Hypothesis. J Appl Stat. 2014 Sep 01;41(9):2028-2043. doi: 10.1080/02664763.2014.907394. PMID: 24910489; PMCID: PMC4043279.
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Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed.

Water

Green H, Weller D, Johnson S, Michalenko E.
PMID: 32587756
Water (Basel). 2019 Oct;11(10). doi: 10.3390/w11102162. Epub 2019 Oct 17.

Fecal contamination of waterbodies due to poorly managed human and animal waste is a pervasive problem that can be particularly costly to address, especially if mitigation strategies are ineffective at sufficiently reducing the level of contamination. Identifying the most...

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Green H, Weller D, Johnson S, et al. Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed. Water (Basel). 2019;11(10)doi: 10.3390/w11102162.
Green, H., Weller, D., Johnson, S., & Michalenko, E. (2019). Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed. Water, 11(10), . https://doi.org/10.3390/w11102162
Green, Hyatt, et al. "Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed." Water vol. 11,10 (2019). doi: https://doi.org/10.3390/w11102162
Green H, Weller D, Johnson S, Michalenko E. Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed. Water (Basel). 2019 Oct;11(10). doi: 10.3390/w11102162. Epub 2019 Oct 17. PMID: 32587756; PMCID: PMC7316189.
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Outlier Identification in Model-Based Cluster Analysis.

Journal of classification

Evans K, Love T, Thurston SW.
PMID: 26806993
J Classif. 2015 Apr 01;32(1):63-84. doi: 10.1007/s00357-015-9171-5. Epub 2015 Mar 10.

In model-based clustering based on normal-mixture models, a few outlying observations can influence the cluster structure and number. This paper develops a method to identify these, however it does not attempt to identify clusters amidst a large field of...

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Evans K, Love T, Thurston SW. Outlier Identification in Model-Based Cluster Analysis. J Classif. 2015;32(1):63-84doi: 10.1007/s00357-015-9171-5.
Evans, K., Love, T., & Thurston, S. W. (2015). Outlier Identification in Model-Based Cluster Analysis. Journal of classification, 32(1), 63-84. https://doi.org/10.1007/s00357-015-9171-5
Evans, Katie, et al. "Outlier Identification in Model-Based Cluster Analysis." Journal of classification vol. 32,1 (2015): 63-84. doi: https://doi.org/10.1007/s00357-015-9171-5
Evans K, Love T, Thurston SW. Outlier Identification in Model-Based Cluster Analysis. J Classif. 2015 Apr 01;32(1):63-84. doi: 10.1007/s00357-015-9171-5. Epub 2015 Mar 10. PMID: 26806993; PMCID: PMC4720172.
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USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT.

Mathematics for applications

Lalonde A, Love T.
PMID: 30636979
Math Appl. 2018;7(1):53-62. doi: 10.13164/ma.2018.05.

Environmental exposure effects on human development can be small and difficult to detect due to the nature of observational data. In the Seychelles Child Development Study, researchers examined the effect of prenatal methylmercury exposure using a battery of tests...

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Lalonde A, Love T. USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT. Math Appl. 2018;7(1):53-62doi: 10.13164/ma.2018.05.
Lalonde, A., & Love, T. (2018). USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT. Mathematics for applications, 7(1), 53-62. https://doi.org/10.13164/ma.2018.05
Lalonde, Amy, and Love, Tanzy. "USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT." Mathematics for applications vol. 7,1 (2018): 53-62. doi: https://doi.org/10.13164/ma.2018.05
Lalonde A, Love T. USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT. Math Appl. 2018;7(1):53-62. doi: 10.13164/ma.2018.05. PMID: 30636979; PMCID: PMC6329395.
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The effect of air pollution on the transcriptomics of the immune response to respiratory infection.

Scientific reports

Croft DP, Burton DS, Nagel DJ, Bhattacharya S, Falsey AR, Georas SN, Hopke PK, Johnston CJ, Kottmann RM, Litonjua AA, Mariani TJ, Rich DQ, Thevenet-Morrison K, Thurston SW, Utell MJ, McCall MN.
PMID: 34593881
Sci Rep. 2021 Sep 30;11(1):19436. doi: 10.1038/s41598-021-98729-8.

Combustion related particulate matter air pollution (PM) is associated with an increased risk of respiratory infections in adults. The exact mechanism underlying this association has not been determined. We hypothesized that increased concentrations of combustion related PM would result...

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Croft DP, Burton DS, Nagel DJ, et al. The effect of air pollution on the transcriptomics of the immune response to respiratory infection. Sci Rep. 2021;11(1):19436doi: 10.1038/s41598-021-98729-8.
Croft, D. P., Burton, D. S., Nagel, D. J., Bhattacharya, S., Falsey, A. R., Georas, S. N., Hopke, P. K., Johnston, C. J., Kottmann, R. M., Litonjua, A. A., Mariani, T. J., Rich, D. Q., Thevenet-Morrison, K., Thurston, S. W., Utell, M. J., & McCall, M. N. (2021). The effect of air pollution on the transcriptomics of the immune response to respiratory infection. Scientific reports, 11(1), 19436. https://doi.org/10.1038/s41598-021-98729-8
Croft, Daniel P, et al. "The effect of air pollution on the transcriptomics of the immune response to respiratory infection." Scientific reports vol. 11,1 (2021): 19436. doi: https://doi.org/10.1038/s41598-021-98729-8
Croft DP, Burton DS, Nagel DJ, Bhattacharya S, Falsey AR, Georas SN, Hopke PK, Johnston CJ, Kottmann RM, Litonjua AA, Mariani TJ, Rich DQ, Thevenet-Morrison K, Thurston SW, Utell MJ, McCall MN. The effect of air pollution on the transcriptomics of the immune response to respiratory infection. Sci Rep. 2021 Sep 30;11(1):19436. doi: 10.1038/s41598-021-98729-8. PMID: 34593881; PMCID: PMC8484285.
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Serum cytokines are associated with n-3 polyunsaturated fatty acids and not with methylmercury measured in infant cord blood in the Seychelles child development study.

Environmental research

Spence T, Zavez A, Allsopp PJ, Conway MC, Yeates AJ, Mulhern MS, van Wijngaarden E, Strain JJ, Myers GJ, Watson GE, Davidson PW, Shamlaye CF, Thurston SW, McSorley EM.
PMID: 34492279
Environ Res. 2022 Mar;204:112003. doi: 10.1016/j.envres.2021.112003. Epub 2021 Sep 04.

BACKGROUND: Maternal fish consumption increases infant methylmercury (MeHg) exposure and polyunsaturated fatty acid (PUFA) concentrations. The n-3 PUFA are regulators of inflammation while MeHg may impact the cord cytokine profile and, subsequently, contribute to immune mediated outcomes. This study...

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Spence T, Zavez A, Allsopp PJ, et al. Serum cytokines are associated with n-3 polyunsaturated fatty acids and not with methylmercury measured in infant cord blood in the Seychelles child development study. Environ Res. 2021;204:112003doi: 10.1016/j.envres.2021.112003.
Spence, T., Zavez, A., Allsopp, P. J., Conway, M. C., Yeates, A. J., Mulhern, M. S., van Wijngaarden, E., Strain, J. J., Myers, G. J., Watson, G. E., Davidson, P. W., Shamlaye, C. F., Thurston, S. W., & McSorley, E. M. (2022). Serum cytokines are associated with n-3 polyunsaturated fatty acids and not with methylmercury measured in infant cord blood in the Seychelles child development study. Environmental research, 204112003. https://doi.org/10.1016/j.envres.2021.112003
Spence, Toni, et al. "Serum cytokines are associated with n-3 polyunsaturated fatty acids and not with methylmercury measured in infant cord blood in the Seychelles child development study." Environmental research vol. 204 (2022): 112003. doi: https://doi.org/10.1016/j.envres.2021.112003
Spence T, Zavez A, Allsopp PJ, Conway MC, Yeates AJ, Mulhern MS, van Wijngaarden E, Strain JJ, Myers GJ, Watson GE, Davidson PW, Shamlaye CF, Thurston SW, McSorley EM. Serum cytokines are associated with n-3 polyunsaturated fatty acids and not with methylmercury measured in infant cord blood in the Seychelles child development study. Environ Res. 2022 Mar;204:112003. doi: 10.1016/j.envres.2021.112003. Epub 2021 Sep 04. PMID: 34492279.
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Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production.

Frontiers in sustainable food systems

Weller DL, Love TMT, Belias A, Wiedmann M.
PMID: 33791594
Front Sustain Food Syst. 2020 Oct;4. doi: 10.3389/fsufs.2020.561517. Epub 2020 Oct 06.

While the Food Safety Modernization Act established standards for the use of surface water for produce production, water quality is known to vary over space and time. Targeted approaches for identifying hazards in water that account for this variation...

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Weller DL, Love TMT, Belias A, et al. Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production. Front Sustain Food Syst. 2020;4doi: 10.3389/fsufs.2020.561517.
Weller, D. L., Love, T. M. T., Belias, A., & Wiedmann, M. (2020). Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production. Frontiers in sustainable food systems, 4. https://doi.org/10.3389/fsufs.2020.561517
Weller, Daniel L, et al. "Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production." Frontiers in sustainable food systems vol. 4 (2020). doi: https://doi.org/10.3389/fsufs.2020.561517
Weller DL, Love TMT, Belias A, Wiedmann M. Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production. Front Sustain Food Syst. 2020 Oct;4. doi: 10.3389/fsufs.2020.561517. Epub 2020 Oct 06. PMID: 33791594; PMCID: PMC8009603.
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Total Coliform and Generic .

Horticulturae

Weller DL, Saylor L, Turkon P.
PMID: 34336990
Horticulturae. 2020 Sep;6(3). doi: 10.3390/horticulturae6030042. Epub 2020 Jul 30.

Although many studies have investigated foodborne pathogen prevalence in conventional produce production environments, relatively few have investigated prevalence in aquaponics and hydroponics systems. This study sought to address this knowledge gap by enumerating total coliform and generic

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Weller DL, Saylor L, Turkon P. Total Coliform and Generic . Horticulturae. 2020;6(3)doi: 10.3390/horticulturae6030042.
Weller, D. L., Saylor, L., & Turkon, P. (2020). Total Coliform and Generic . Horticulturae, 6(3), . https://doi.org/10.3390/horticulturae6030042
Weller, Daniel L, et al. "Total Coliform and Generic ." Horticulturae vol. 6,3 (2020). doi: https://doi.org/10.3390/horticulturae6030042
Weller DL, Saylor L, Turkon P. Total Coliform and Generic . Horticulturae. 2020 Sep;6(3). doi: 10.3390/horticulturae6030042. Epub 2020 Jul 30. PMID: 34336990; PMCID: PMC8323784.
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Showing 1 to 12 of 15 entries