<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260224</CreaDate>
<CreaTime>11543000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
</DataProperties>
<scaleRange>
<minScale>5000000</minScale>
<maxScale>500000</maxScale>
</scaleRange>
<ArcGISProfile>NAP</ArcGISProfile>
</Esri>
<mdFileID>768F4982-07B9-442D-BF42-38BCC1EFDA4F</mdFileID>
<mdLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpOrgName>Nebraska Department of Health and Human Services</rpOrgName>
<rpPosName>GIS Informatician</rpPosName>
<role>
<RoleCd value="011"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>dhhs.gis@nebraska.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<displayName>Nebraska Department of Health and Human Services</displayName>
</mdContact>
<mdDateSt Sync="TRUE">20260320</mdDateSt>
<dataIdInfo>
<idPurp>A query layer containing annual establishment status and maximum likelihood estimates of pathogen presence for Blacklegged Ticks in Nebraska counties.</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;A query layer containing annual establishment status and maximum likelihood estimates of pathogen presence for Blacklegged Ticks in Nebraska counties. This data is to be used in the Vector Borne Disease Tick Surveillance web experience.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>Nebraska Department of Health and Human Services, VectorSurv</idCredit>
<idCitation>
<resTitle>Blacklegged Ticks Annual Surveillance</resTitle>
<resAltTitle>Blacklegged Tick Annual Estimates and Establishment Status</resAltTitle>
<date>
<createDate>2026-02-24T00:00:00</createDate>
</date>
<citRespParty>
<rpOrgName>Nebraska Department of Health and Human Services</rpOrgName>
<rpPosName>GIS Informatician</rpPosName>
<role>
<RoleCd value="011"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>dhhs.gis@nebraska.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
</citRespParty>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<searchKeys>
<keyword>DHHS</keyword>
<keyword>Department of Health and Human Services</keyword>
<keyword>Health</keyword>
<keyword>Nebraska</keyword>
<keyword>NE</keyword>
<keyword>Nebraska Department of Health and Human Services</keyword>
<keyword>Division of Public Health</keyword>
<keyword>DPH</keyword>
<keyword>Emerging Infectious Disease Program</keyword>
<keyword>Vector Borne Disease</keyword>
<keyword>VBD</keyword>
<keyword>Tick</keyword>
<keyword>Blacklegged Tick</keyword>
<keyword>Establishment</keyword>
<keyword>MLE</keyword>
<keyword>Maximum Likelihood Estimate</keyword>
<keyword>Query Layer</keyword>
</searchKeys>
<dataLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpOrgName>Nebraska Department of Health and Human Services</rpOrgName>
<rpPosName>Vector Borne Disease Program Manager</rpPosName>
<role>
<RoleCd value="003"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>dhhs.vectorborne@nebraska.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="003"/>
</maintFreq>
<maintCont>
<rpOrgName>Nebraska Department of Health and Human Services</rpOrgName>
<rpPosName>GIS Informatician</rpPosName>
<role>
<RoleCd value="011"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>dhhs.gis@nebraska.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<displayName>Nebraska Department of Health and Human Services</displayName>
</maintCont>
</resMaint>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Data was designed to be used in Nebraska Department of Health and Human Services GIS applications that will be shared for public use on NebraskaMap.gov. Use outside this application is not recommended. Data is subject to change without notice.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<envirDesc Sync="FALSE">Esri ArcGIS 13.4.0.55405</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-104.1</westBL>
<eastBL>-95.3</eastBL>
<northBL>43</northBL>
<southBL>40</southBL>
<exTypeCode>1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<themeKeys>
<thesaLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</thesaLang>
<keyword>Health, Tick, Blacklegged Tick, Establishment, MLE, Maximum Likelihood Estimate</keyword>
</themeKeys>
<placeKeys>
<thesaLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</thesaLang>
<keyword>Nebraska, NE</keyword>
</placeKeys>
<discKeys>
<thesaLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</thesaLang>
<keyword>DHHS, Department of Health and Human Services, Division of Public Health, DPH, Emerging Infectious Disease Program, Vector Borne Disease, VBD</keyword>
</discKeys>
<productKeys>
<thesaLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</thesaLang>
<keyword>Query Layer</keyword>
</productKeys>
<tpCat>
<TopicCatCd value="009"/>
</tpCat>
<tpCat>
<TopicCatCd value="002"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpOrgName>Nebraska Department of Health and Human Services</rpOrgName>
<rpPosName>GIS Informatician</rpPosName>
<role>
<RoleCd value="011"/>
</role>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>dhhs.gis@nebraska.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<displayName>Nebraska Department of Health and Human Services</displayName>
</maintCont>
</mdMaint>
<dqInfo>
<dataLineage>
<statement>Raw surveillance data are extracted from the VectorSurv database through the VectorSurv API, processed into rates and maximum likelihood estimates, and written to the ArcGIS Server using an R script scheduled to run on a weekly basis.</statement>
<dataSource type="">
<srcDesc>VectorSurv Tick Surveillance Data</srcDesc>
<srcMedName>
<MedNameCd value="015"/>
</srcMedName>
<srcCitatn>
<resTitle>VectorSurv</resTitle>
<date>
<pubDate>2026-02-24T00:00:00</pubDate>
</date>
</srcCitatn>
</dataSource>
</dataLineage>
</dqInfo>
<eainfo>
<detailed Name="dhhs.VBD_BlackleggedTickEstimatesAnnual_Tbl">
<enttyp>
<enttypl>BlackleggedTicksAnnual</enttypl>
<enttypt>Table</enttypt>
<enttypc>558</enttypc>
<enttypd>Table</enttypd>
<enttypds>Esri</enttypds>
</enttyp>
<attr>
<attrlabl>county</attrlabl>
<attalias>County</attalias>
<attrdef>County FIPS code</attrdef>
<attrdefs>US Census Bureau</attrdefs>
<attrtype>String</attrtype>
<attwidth>255</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>009</attrmfrq>
<attrdomv>
<codesetd>
<codesetn>Federal Information Processing Standards Codes</codesetn>
<codesets>ANSI</codesets>
</codesetd>
</attrdomv>
</attr>
<attr>
<attrlabl>year</attrlabl>
<attalias>Year</attalias>
<attrdef>The year associated with a given county's surveillance data</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>String</attrtype>
<attwidth>255</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>009</attrmfrq>
<attrdomv>
<udom>Four-digit year</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Aphagocytophilum_Confirmed</attrlabl>
<attalias Sync="FALSE">A. phagocytophilum Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Aphagocytophilum_Negative</attrlabl>
<attalias Sync="FALSE">A. phagocytophilum Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bburgdorferiss_Confirmed</attrlabl>
<attalias Sync="FALSE">B. burgdorferi s.s. Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bburgdorferiss_Negative</attrlabl>
<attalias Sync="FALSE">B. burgdorferi s.s. Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmayonii_Confirmed</attrlabl>
<attalias Sync="FALSE">B. mayonii Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for B. mayonii</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmayonii_Negative</attrlabl>
<attalias Sync="FALSE">B. mayonii Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for B. mayonii</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmicroti_Confirmed</attrlabl>
<attalias Sync="FALSE">B. microti Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmicroti_Negative</attrlabl>
<attalias Sync="FALSE">B. microti Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmiyamotoi_Confirmed</attrlabl>
<attalias Sync="FALSE">B. miyamotoi Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmiyamotoi_Negative</attrlabl>
<attalias Sync="FALSE">B. miyamotoi Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Emuriseauclairensis_Confirmed</attrlabl>
<attalias Sync="FALSE">E. muris eauclairensis Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Emuriseauclairensis_Negative</attrlabl>
<attalias Sync="FALSE">E. muris eauclairensis Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Aphagocytophilum_Total</attrlabl>
<attalias Sync="FALSE">A. phagocytophilum Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Aphagocytophilum_Rate</attrlabl>
<attalias Sync="FALSE">A. phagocytophilum Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for A. phagocytophilum over the total number of pools confirmed or negative for A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bburgdorferiss_Total</attrlabl>
<attalias Sync="FALSE">B. burgdorferi s.s. Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bburgdorferiss_Rate</attrlabl>
<attalias Sync="FALSE">B. burgdorferi s.s. Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for B. burgdorferi s.s. over the total number of pools confirmed or negative for B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmayonii_Total</attrlabl>
<attalias Sync="FALSE">B. mayonii Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for B. mayonii</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmayonii_Rate</attrlabl>
<attalias Sync="FALSE">B. mayonii Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for B. mayonii over the total number of pools confirmed or negative for B. mayonii</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmicroti_Total</attrlabl>
<attalias Sync="FALSE">B. microti Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmicroti_Rate</attrlabl>
<attalias Sync="FALSE">B. microti Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for B. microti over the total number of pools confirmed or negative for B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmiyamotoi_Total</attrlabl>
<attalias Sync="FALSE">B. miyamotoi Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Bmiyamotoi_Rate</attrlabl>
<attalias Sync="FALSE">B. miyamotoi Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for B. miyamotoi over the total number of pools confirmed or negative for B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Emuriseauclairensis_Total</attrlabl>
<attalias Sync="FALSE">E. muris eauclairensis Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Emuriseauclairensis_Rate</attrlabl>
<attalias Sync="FALSE">E. muris eauclairensis Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for E. muris eauclairensis over the total number of pools confirmed or negative for E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Ehrlichiosis_Negative</attrlabl>
<attalias>Ehrlichiosis Negative Pools</attalias>
<attrdef>Number of pools negative for Ehrlichiosis-causing pathogens, including E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Long</attrtype>
<attwidth>32</attwidth>
<atprecis>10</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Ehrlichiosis_Confirmed</attrlabl>
<attalias>Ehrlichiosis Confirmed Pools</attalias>
<attrdef>Number of pools confirmed for Ehrlichiosis-causing pathogens, including E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Long</attrtype>
<attwidth>32</attwidth>
<atprecis>10</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Ehrlichiosis_Total</attrlabl>
<attalias>Ehrlichiosis Total Pools</attalias>
<attrdef>Total number of pools confirmed or negative for Ehrlichiosis-causing pathogens, including E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Long</attrtype>
<attwidth>32</attwidth>
<atprecis>10</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Ehrlichiosis_Rate</attrlabl>
<attalias>Ehrlichiosis Positivity Rate</attalias>
<attrdef>Simple rate of the number of pools confirmed for Ehrlichiosis-causing pathogens, including E. muris eauclairensis, over the total number of pools confirmed or negative for Ehrlichiosis-causing pathogens</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Double</attrtype>
<attwidth>8</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Anaplasmosis_Negative</attrlabl>
<attalias Sync="FALSE">Anaplasmosis Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for Anaplasmosis-causing pathogens, including A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Anaplasmosis_Confirmed</attrlabl>
<attalias Sync="FALSE">Anaplasmosis Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for Anaplasmosis-causing pathogens, including A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Anaplasmosis_Total</attrlabl>
<attalias Sync="FALSE">Anaplasmosis Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for Anaplasmosis-causing pathogens, including A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Anaplasmosis_Rate</attrlabl>
<attalias Sync="FALSE">Anaplasmosis Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for Anaplasmosis-causing pathogens, including A. phagocytophilum, over the total number of pools confirmed or negative for Anaplasmosis-causing pathogens</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Babesiosis_Negative</attrlabl>
<attalias Sync="FALSE">Babesiosis Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for Babesiosis-causing pathogens, including B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Babesiosis_Confirmed</attrlabl>
<attalias Sync="FALSE">Babesiosis Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for Babesiosis-causing pathogens, including B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Babesiosis_Total</attrlabl>
<attalias Sync="FALSE">Babesiosis Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for Babesiosis-causing pathogens, including B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Babesiosis_Rate</attrlabl>
<attalias Sync="FALSE">Babesiosis Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for Babesiosis-causing pathogens, including B. microti, over the total number of pools confirmed or negative for Babesiosis-causing pathogens</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HardTick_Negative</attrlabl>
<attalias Sync="FALSE">Hard Tick Relapsing Fever Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HardTick_Confirmed</attrlabl>
<attalias Sync="FALSE">Hard Tick Relapsing Fever Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HardTick_Total</attrlabl>
<attalias Sync="FALSE">Hard Tick Relapsing Fever Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HardTick_Rate</attrlabl>
<attalias Sync="FALSE">Hard Tick Relapsing Fever Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi, over the total number of pools confirmed or negative for Hard Tick Relapsing Fever-causing pathogens</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lyme_Negative</attrlabl>
<attalias Sync="FALSE">Lyme Disease Negative Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools negative for Lyme Disease-causing pathogens, including B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lyme_Confirmed</attrlabl>
<attalias Sync="FALSE">Lyme Disease Confirmed Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Number of pools confirmed for Lyme Disease-causing pathogens, including B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lyme_Total</attrlabl>
<attalias Sync="FALSE">Lyme Disease Total Pools</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Total number of pools confirmed or negative for Lyme Disease-causing pathogens, including B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1000</rdommax>
<attrunit>Pools</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lyme_Rate</attrlabl>
<attalias Sync="FALSE">Lyme Disease Positivity Rate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Simple rate of the number of pools confirmed for Lyme Disease-causing pathogens, including B. burgdorferi s.s., over the total number of pools confirmed or negative for Lyme Disease-causing pathogens</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>1</rdommax>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">P_Lyme</attrlabl>
<attalias Sync="FALSE">Lyme Disease Maximum Likelihood Estimate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Maximum Likelihood Estimate for Lyme Disease-causing pathogens, including B. burgdorferi s.s. The Maximum Likelihood Estimate describes the most probable infection rate within the tick population based on the size and positivity of tick pools tested for pathogens. It can be interpreted as the estimated number of ticks confirmed for the pathogens per 100 ticks tested.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">P_HardTick</attrlabl>
<attalias Sync="FALSE">Hard Tick Relapsing Fever Maximum Likelihood Estimate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Maximum Likelihood Estimate for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi. The Maximum Likelihood Estimate describes the most probable infection rate within the tick population based on the size and positivity of tick pools tested for pathogens. It can be interpreted as the estimated number of ticks confirmed for the pathogens per 100 ticks tested.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">P_Anaplasmosis</attrlabl>
<attalias Sync="FALSE">Anaplasmosis Maximum Likelihood Estimate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Maximum Likelihood Estimate for Anaplasmosis-causing pathogens, including A. phagocytophilum. The Maximum Likelihood Estimate describes the most probable infection rate within the tick population based on the size and positivity of tick pools tested for pathogens. It can be interpreted as the estimated number of ticks confirmed for the pathogens per 100 ticks tested.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">P_Babesiosis</attrlabl>
<attalias Sync="FALSE">Babesiosis Maximum Likelihood Estimate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Maximum Likelihood Estimate for Babesiosis-causing pathogens, including B. microti. The Maximum Likelihood Estimate describes the most probable infection rate within the tick population based on the size and positivity of tick pools tested for pathogens. It can be interpreted as the estimated number of ticks confirmed for the pathogens per 100 ticks tested.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>P_Ehrlichiosis</attrlabl>
<attalias>Ehrlichiosis Maximum Likelihood Estimate</attalias>
<attrdef>Maximum Likelihood Estimate for Ehrlichiosis-causing pathogens, including E. muris eauclairensis. The Maximum Likelihood Estimate describes the most probable infection rate within the tick population based on the size and positivity of tick pools tested for pathogens. It can be interpreted as the estimated number of ticks confirmed for the pathogens per 100 ticks tested.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Double</attrtype>
<attwidth>8</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lower_Lyme</attrlabl>
<attalias Sync="FALSE">Lower Bound of Lyme Disease Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lower bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Lyme Disease-causing pathogens, including B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lower_HardTick</attrlabl>
<attalias Sync="FALSE">Lower Bound of Hard Tick Relapsing Fever Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lower bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lower_Anaplasmosis</attrlabl>
<attalias Sync="FALSE">Lower Bound of Anaplasmosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lower bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Anaplasmosis-causing pathogens, including A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Lower_Babesiosis</attrlabl>
<attalias Sync="FALSE">Lower Bound of Babesiosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lower bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Babesiosis-causing pathogens, including B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Lower_Ehrlichiosis</attrlabl>
<attalias>Lower Bound of Ehrlichiosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrdef>Lower bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Ehrlichiosis-causing pathogens, including E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Double</attrtype>
<attwidth>8</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Upper_Lyme</attrlabl>
<attalias Sync="FALSE">Upper Bound of Lyme Disease Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Upper bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Lyme Disease-causing pathogens, including B. burgdorferi s.s.</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Upper_HardTick</attrlabl>
<attalias Sync="FALSE">Upper Bound of Hard Tick Relapsing Fever Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Upper bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Hard Tick Relapsing Fever-causing pathogens, including B. miyamotoi</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Upper_Anaplasmosis</attrlabl>
<attalias Sync="FALSE">Upper Bound of Anaplasmosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Upper bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Anaplasmosis-causing pathogens, including A. phagocytophilum</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Upper_Babesiosis</attrlabl>
<attalias Sync="FALSE">Upper Bound of Babesiosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Upper bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Babesiosis-causing pathogens, including B. microti</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>Upper_Ehrlichiosis</attrlabl>
<attalias>Upper Bound of Ehrlichiosis Maximum Likelihood Estimate Confidence Interval</attalias>
<attrdef>Upper bound of the Likelihood Ratio Test-based 95% confidence interval for the Maximum Likelihood Estimate for Ehrlichiosis-causing pathogens, including E. muris eauclairensis</attrdef>
<attrdefs>Nebraska Department of Health and Human Services</attrdefs>
<attrtype>Double</attrtype>
<attwidth>8</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>100</rdommax>
<attrunit>Percent</attrunit>
</rdom>
</attrdomv>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attalias>OBJECTID</attalias>
<attrdef>Internal feature number.</attrdef>
<attrdefs>Esri</attrdefs>
<attrtype>OID</attrtype>
<attwidth>4</attwidth>
<atprecis>10</atprecis>
<attscale>0</attscale>
<attrmfrq>003</attrmfrq>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>NAMELSAD</attrlabl>
<attalias>County Name</attalias>
<attrdef>County Name</attrdef>
<attrdefs>State of Nebraska</attrdefs>
<attrtype>String</attrtype>
<attwidth>20</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>012</attrmfrq>
<attrdomv>
<codesetd>
<codesetn>State of Nebraska County Names</codesetn>
<codesets>State of Nebraska</codesets>
</codesetd>
</attrdomv>
</attr>
<attr>
<attrlabl>establishmentStatus</attrlabl>
<attalias>Establishment Status</attalias>
<attrdef>The establishment status for Blacklegged Ticks in a given county for a given year</attrdef>
<attrdefs>Centers for Disease Control and Prevention</attrdefs>
<attrtype>String</attrtype>
<attwidth>255</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>009</attrmfrq>
<attrdomv>
<edom>
<edomv>Not Sampled</edomv>
<edomvd>No tick collection has been performed during this year or a previous year for this county</edomvd>
<edomvds>Centers for Disease Control and Prevention</edomvds>
</edom>
<edom>
<edomv>No Known Populations</edomv>
<edomvd>No ticks have been collected during this year or a previous year for this county</edomvd>
<edomvds>Centers for Disease Control and Prevention</edomvds>
</edom>
<edom>
<edomv>Reported</edomv>
<edomvd>One to five ticks from the same life stage (larvae, nymphs, adults) have been collected during this year or a previous year for this county</edomvd>
<edomvds>Centers for Disease Control and Prevention</edomvds>
</edom>
<edom>
<edomv>Established</edomv>
<edomvd>At least six total ticks or ticks from two or more life stages (larvae, nymphs, adults) have been collected during this year or a previous year for this county</edomvd>
<edomvds>Centers for Disease Control and Prevention</edomvds>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl>Shape</attrlabl>
<attalias>Shape</attalias>
<attrdef>Geometry information for the feature</attrdef>
<attrdefs>Esri</attrdefs>
<attrtype>Geometry</attrtype>
<attwidth>0</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
<attrmfrq>012</attrmfrq>
<attrdomv>
<udom>Binary large object</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<refSysInfo>
<RefSystem dimension="horizontal">
<refSysID>
<identCode code="26852"/>
<idCodeSpace>ESPG</idCodeSpace>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<topLvl>
<TopoLevCd value="001"/>
</topLvl>
<geometObjs>
<geoObjTyp>
<GeoObjTypCd value="005"/>
</geoObjTyp>
<geoObjCnt>558</geoObjCnt>
</geometObjs>
</VectSpatRep>
</spatRepInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
