Predicting the Distribution of Vibrio vulnificus in Chesapeake Bay.
Predicting the Distribution of Vibrio vulnificus in Chesapeake Bay.
Predicting the Distribution of Vibrio vulnificus in Chesapeake Bay.
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Matt RhodesJHT @ NOAA’s Oxford LabJuly 16, 2013matt.rhodes@noaa.gov
<strong>Vibrio</strong> spp.• Gram negative,halophillic bacteriaendemic to Coastalwaters• V. cholerae, V.<strong>vulnificus</strong>, and V.parahaemolyticus• Gastroenteritis, wound<strong>in</strong>fection, necrosis,septicemia.
<strong>Chesapeake</strong> Region <strong>Vibrio</strong> Infections100Number <strong>of</strong> Reported Cases8060402001997-98 1999200020012002200320042005200620072008CDC, COVIS Surveillance Program
Goals and Objectives• Develop empirical models for species and stra<strong>in</strong>s <strong>of</strong>vibrio <strong>in</strong> <strong>Chesapeake</strong> <strong>Bay</strong>.• V. cholerae, V. <strong>vulnificus</strong>, and V. parahaemolyticus• Demonstrate <strong>the</strong>ir utility <strong>in</strong> ecological forecast<strong>in</strong>g• Use models for understand<strong>in</strong>g <strong>the</strong> regionaldistribution <strong>of</strong> <strong>Vibrio</strong> spp. and future scenarios.• Work with <strong>the</strong> public health community to ref<strong>in</strong>eproducts for management needs.
<strong>Chesapeake</strong> <strong>Bay</strong> Pathogen Monitor<strong>in</strong>gand Forecast<strong>in</strong>g SystemManagementandEducationResearch andMonitor<strong>in</strong>gModel<strong>in</strong>gandForecast<strong>in</strong>g
Example: <strong>Vibrio</strong> <strong>vulnificus</strong>• Gram negative, halophillicpathogens endemic to Coastalwaters• Responsible for 95% <strong>of</strong> allseafood related mortalities, 50%mortality rate when septic.• Most cases wound <strong>in</strong>fections <strong>in</strong><strong>Chesapeake</strong> <strong>Bay</strong>• Infection <strong>of</strong> <strong>in</strong>creas<strong>in</strong>g concern,especially for those imunocompromisedand with liverdisease.• Stra<strong>in</strong> is important!
Statistical Model<strong>in</strong>gJacobs et al. (2009) Jacobs et al. (2010)Environmental Gradient Analysis (PCA)Formal Model Selection
Multiple models evaluated…Model Variable AIC ∆AIC % Concordance % Discordance P 1 c 2Vv Occurrence PC1, PC2, PC3 82.0 17.8 0.07 0.82(Presence/absence) Wtemp 1309.0 0.0 78.3 21.2 0.04 0.77Salopt, Wtemp 1290.0 19.0 86.6 13.2 0.25 0.87Salopt, Wtemp, Secchi 1266.0 24.0 88.9 11.0 0.14 0.89Vv Abunance PrPres 330.1 0.0 92.6 6.8 0.88 0.93(High/Low) Wtemp, Salopt, Secchi 330.1 0.0 93.4 6.3 0.91 0.94PrPres, DO 329.3 0.8 94.4 5.5 0.97 0.94PrPres, DO, Chla 326.9 2.4 95 4.9 0.95 0.95Vcg Occurrence PO4f 358.0 0.0 70.3 29.3 0.02 0.71(Presence/Absence) PO4f, Wtemp 311.0 47.0 77.2 22.8 0.65 0.77PO4f, Wtemp, Chla 307.4 3.6 78.2 21.8 0.98 0.78PO4f, Wtemp, Chla, Salopt 301.3 6.1 80.6 19.4 0.51 0.811 Hosner and Lemeshow goodness <strong>of</strong> fit test2 Area under <strong>the</strong> ROC curve
Internal and ExternalStatisticalModel<strong>in</strong>gValidationBoostraped Model vs Development SetRandom Datasets N = 1222Bootstraped Model vs Validation SetRandom Dataset (N=414)Observed Frequency <strong>of</strong> Occurence1.21.00.80.60.40.2Y = .0014 + 1.00XR 2 = 0.940.00.0 0.2 0.4 0.6 0.8 1.0 1.2Predicted Frequency <strong>of</strong> OccurrenceObserved Frequency <strong>of</strong> Occurrence1.21.00.80.60.40.2Y = -0.056+1.09XR 2 = 0.980.00.0 0.2 0.4 0.6 0.8 1.0 1.2Predicted Frequency <strong>of</strong> Occurrence
ChesROMS Grid andImplementation(chief architects, Dr. Jiangtao Xuand Dr. Wen Long)Forecastsand o<strong>the</strong>rProducts• <strong>Chesapeake</strong> <strong>Bay</strong> implementation <strong>of</strong><strong>the</strong> Regional Ocean Model<strong>in</strong>g System(ROMS)• Curvil<strong>in</strong>ear horizontal grid• Coarse mesh for model development(100 * 150) – 5 – 0.5 km spatialresolution• Includes major tributaries• C and D canal: treated as a river• H<strong>in</strong>dcast and operationalimplementations completed
Sea SurfaceTemperaturePathogenForecast<strong>in</strong>gSystem<strong>Vibrio</strong>empiricalmodelsSal<strong>in</strong>ityBrown, C.W., R. R. Hood, W. Long, J. Jacobs, D. L.Ramers, C. Wazniak, J. D. Wiggert, R. Wood, and J.Xu. (2013). Ecological Forecast<strong>in</strong>g <strong>in</strong> <strong>Chesapeake</strong> <strong>Bay</strong>:Us<strong>in</strong>g a Mechanistic-Empirical Model<strong>in</strong>g Approach. Journal<strong>of</strong> Mar<strong>in</strong>e Systemshttp://www.sciencedirect.com/science/journal/aip/09247963
Current Experimental Products• Nowcasts and 3 day forecast – UMCES and NOAA• 14 and monthly forecasts - UMD ESSICForecastsand o<strong>the</strong>rProducts14 day Monthly
<strong>Vibrio</strong> abundance65Full Modely=0.068+1.15x+2.925x 2R 2 = 0.97, f = 115.68, 2,9 df, P
Virulence correlated gene (vcg)• PCR assay applied toenvironmental samples (Baker-Aust<strong>in</strong>, et al., 2009)• Assay tested aga<strong>in</strong>stenvironmental and cl<strong>in</strong>ical stra<strong>in</strong>swith high repeatability• At present – non-quantitative• Initial model development
Virulence correlated gene (vcg)8Number <strong>of</strong> Vcg positve Samples6420POTOMAC RIVERYORK RIVEREASTERN BAYMAGOTHY RIVERMOBJACK BAYELIZABETH RIVERPATUXENT RIVERCHESAPEAKE BAYTANGIER SOUNDBACK RIVER (VA)ELK RIVERPOCOMOKE SOUNDWICOMICO RIVERBACK CREEKPAMUNKEY RIVERPOCOMOKE RIVERMANOKIN RIVERTRANSQUAKING RIVERPATAPSCO RIVER2007-2010 data
yHow doManagementapplicationwe use<strong>the</strong>semodels?
• Currentlyavailablethrough webbased systemonly to publichealth <strong>of</strong>ficials• MDE HealthyBeaches <strong>Vibrio</strong>awareness andl<strong>in</strong>ks to NCCOS
Mean CB Water Temperature (°C)20191817CB Water Temp 1MD,VA,PA Infections 21009080706050Reported <strong>Vibrio</strong> Infections(Number <strong>of</strong> Cases)1620052006200720082009401 Mean water temperature from March - August from 9 CBP ma<strong>in</strong>stem monitor<strong>in</strong>g stations2Reported <strong>Vibrio</strong> <strong>in</strong>fections for MD, VA, and PA provided by CDC
NOAA Climate Prediction• 6 day to 3 monthoutlooks on regionaltemperature andprecipitation• Work<strong>in</strong>g to ref<strong>in</strong>e forlocal region and users.• Used to triggereducational releases?
Climate VariabilityResearch/gapanalysisAugust 1st1996 1999Collaborationwith Dr. RitaCollwell andESSIC (Banikeret al. 2011)CDC BRACEaward – MDDHMH (2012 –2016)Wet YearDry Year
Where we are....Model Beta Quant Stra<strong>in</strong> Roms Valid Web NWSOPVvVp 2013 ?? 2014Vc ** 2013? 2013?Va 2014?** Constant<strong>in</strong>e de Magny, Colwell, et al.
CBOFS• Fully operationalimplementation <strong>of</strong>ROMS• F<strong>in</strong>er resolution• 48 hour predictions
Where we arego<strong>in</strong>g…• NWS operationalforecasts.• Skill assessment.• Region to Nationapproach (DE <strong>Bay</strong>, Gulf,Puget Sound).• Risk assessment.
Wen Long,Elizabeth North,Raleigh Hood
A National Network <strong>of</strong> OperationalCirculation Models….ColumbiaRiverGreat LakesNew York/New JerseyDelaware <strong>Bay</strong><strong>Chesapeake</strong> <strong>Bay</strong>St. Johns RiverTampa <strong>Bay</strong>GOMGalveston <strong>Bay</strong>NOAA/COOPS
CurrentMonitor<strong>in</strong>gStations(2011- )
Where we arego<strong>in</strong>g…• NWS operationalforecasts.• Skill assessment• Region to Nationapproach (DE <strong>Bay</strong>, Gulf,Puget Sound).• Risk assessment.What we need toget <strong>the</strong>re…• Better tools for ID <strong>of</strong>virulent stra<strong>in</strong>s.• Coord<strong>in</strong>ation <strong>of</strong>environmental andcl<strong>in</strong>ical data sets.• Dose response.• Cont<strong>in</strong>uous observationsover time.
AcknowledgementsJohn Jacobs, Kathy Brohawn,Christopher Brown, Rita Colwell,David Green, Rick H<strong>of</strong>fman,Raleigh Hood, AK Leight, WenLong, Guillaume Constant<strong>in</strong> deMagny, Bruce Michael, CliffMitchell, Elizabeth North, BalaKrishna Prasad Mathukumalli,Raghuram Murtugudde, DebbieRouse, Brian Sturgis, CathyWazniak, and Robert Wood