ࡱ> CB g2ɀ\pBirkhimer, Nancy Ba==e38X@"1Arial1Calibri1Calibri1Calibri1Calibri1Calibri1Calibri1Calibri1Calibri1Calibri1ZCalibri1 ZCalibri1ZCalibri14ZCalibri1 ZCalibri1ZCalibri1ZCalibri1,8ZCalibri18ZCalibri18ZCalibri1>141<ZCalibri1?ZCalibri1h8ZCambria1ZCalibri1 ZCalibri1ZCalibri1ZCalibri"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)0.0                                                                      ff  +  )  ,  *     P  P        `              a>  x 8   |@  x@  x@  x@  x@ 7  8 | x  | |  |   X  |@  |@ 7  |@ 7  |@ 7   |@   |@   |@ 7  8@  8@   8@  8@ 7  x@ @  |@  |@  |@  |@  |@  |@ 7  |@  | | | | |@ 7  |@  |@   |@  |@ @   |@   |@ 7  8@ @  |@ @  |@ @  | x@  |@  |@  |@  |@  8@ @  x@ @  x 8@ @  8@ @  X x 8 |@  |@  |@ @  |@ @  |@   l@ @  h@ @  "X  h@ @  ||˹}-} 00\);_(*}-} 00\);_(*}-} 00\);_(*}-} 00\);_(*}A} 00\);_(*ef;_(@_) }A} 00\);_(*ef;_(@_) }A} 00\);_(*ef;_(@_) }A} 00\);_(*ef;_(@_) }A} 00\);_(*ef;_(@_) }A} 00\);_(*ef ;_(@_) }A} 00\);_(*L;_(@_) }A} 00\);_(*L;_(@_) }A} 00\);_(*L;_(@_) }A} 00\);_(*L;_(@_) }A} 00\);_(*L;_(@_) }A} 00\);_(*L ;_(@_) }A} 00\);_(*23;_(@_) }A} 00\);_(*23;_(@_) }A} 00\);_(*23;_(@_) }A} 00\);_(*23;_(@_) }A}  00\);_(*23;_(@_) }A}! 00\);_(*23 ;_(@_) }A}" 00\);_(*;_(@_) }A}# 00\);_(*;_(@_) }A}$ 00\);_(*;_(@_) }A}% 00\);_(*;_(@_) }A}& 00\);_(*;_(@_) }A}' 00\);_(* ;_(@_) }A}( 00\);_(*;_(@_) }}) }00\);_(*;_(@_)    }}* 00\);_(*;_(@_) ??? ??? ??? ???}-}+ 00\);_(*}-}, 00\);_(*}-}- 00\);_(*}-}. 00\);_(*}-}/ 00\);_(*}A}0 a00\);_(*;_(@_) }A}1 00\);_(*;_(@_) }A}2 00\);_(*?;_(@_) }A}3 00\);_(*23;_(@_) }-}4 00\);_(*}}5 ??v00\);_(*̙;_(@_)    }A}6 }00\);_(*;_(@_) }A}7 e00\);_(*;_(@_) }-}8 00\);_(*}-}9 00\);_(*}}: 00\);_(*;_(@_)    }}; ???00\);_(*;_(@_) ??? ??? ??? ???}-}< 00\);_(*}-}= 00\);_(*}U}> 00\);_(*;_(@_)  }-}? 00\);_(*}<}D00\);_(*;_(}<}E00\);_(*;_(}P}F00\);_(*;_( }P}G00\);_(*;_( }(}H00\);_(*}(}S00\);_(*}(}T00\);_(*}(}U00\);_(*}(}V00\);_(*}<}W00\);_(*;_(}P}X00\);_(*;_( }(}Y00\);_(*}(}Z00\);_(*}<}[00\);_(*;_(}<}\00\);_(*;_(}(}]00\);_(*}<}_00\);_(*;_(}(}`00\);_(*}<}a00\);_(*;_(}<}b00\);_(*;_(}P}c00\);_(*;_( }(}d00\);_(*}(}e00\);_(*}<}f00\);_(*;_(}<}g00\);_(*;_(}P}i00\);_(*;_( }(}j00\);_(*}(}k00\);_(*}<}l00\);_(*;_(}<}m00\);_(*;_(}P}o00\);_(*;_( }(}p00\);_(*}<}u00\);_(*;_(}<}v00\);_(*;_(}<}w00\);_(*;_(}<}x00\);_(*;_(}<}y00\);_(*;_(}(}{00\);_(*}(}00\);_(*}(}00\);_(*}(}00\);_(*}-}_(*}-}_(*}-}_(*}-}_(* 20% - Accent1M 20% - Accent1 ef % 20% - Accent2M" 20% - Accent2 ef % 20% - Accent3M& 20% - Accent3 ef % 20% - Accent4M* 20% - Accent4 ef % 20% - Accent5M. 20% - Accent5 ef % 20% - Accent6M2 20% - Accent6  ef % 40% - Accent1M 40% - Accent1 L % 40% - Accent2M# 40% - Accent2 L渷 % 40% - Accent3M' 40% - Accent3 L % 40% - Accent4M+ 40% - Accent4 L % 40% - Accent5M/ 40% - Accent5 L % 40% - Accent6M3 40% - Accent6  Lմ % 60% - Accent1M 60% - Accent1 23 % 60% - Accent2M$ 60% - Accent2 23ږ % 60% - Accent3M( 60% - Accent3 23כ % 60% - Accent4M, 60% - Accent4 23 % 60% - Accent5M0 60% - Accent5 23 %! 60% - Accent6M4 60% - Accent6  23 % "Accent1AAccent1 O % #Accent2A!Accent2 PM % $Accent3A%Accent3 Y % %Accent4A)Accent4 d % &Accent5A-Accent5 K % 'Accent6A1Accent6  F %(Bad9Bad  %) Calculation Calculation  }% * Check Cell Check Cell  %????????? ???+ Comma,( Comma [0]-&Currency.. Currency [0]/Explanatory TextG5Explanatory Text % 0Good;Good  a%1 Heading 1G Heading 1 I}%O2 Heading 2G Heading 2 I}%?3 Heading 3G Heading 3 I}%234 Heading 49 Heading 4 I}% 5InputuInput ̙ ??v% 6 Linked CellK Linked Cell }% 7NeutralANeutral  e%"Normal 8Normal 27Normal 2 % 9Normal 37Normal 3 % :Noteb Note   ;OutputwOutput  ???%????????? ???<$Percent =Title1Title I}% >TotalMTotal %OO? Warning Text? Warning Text %XTableStyleMedium2PivotStyleLight16`rMIncidence by countyCDocuments and SettingsNancy.BirkhimerDesktopSHAdataChronic DiseaseCancerCancer tables for SHA with index page race ethnicity.xlsxTOCCa Mortality by yearLung Ca Mortality by yrTob related Ca Mortality by yr CRC Mortality by yr Female Breast Ca MortalityCa Mortality by sexCa Mortality by age grp Ca Mortality by countyCa Mortality by districtCa Mortality by raceAll cancer inc by yrLung inc by yrTob related inc by yr CRC inc by yrFemale breast inc by yearcancer incidence by sexIncidence by age grpIncidence by countyIncidence by districtIncidence by racelate-stage fem breast ca by yrlate-stage CRC ca by yrlate-stage prostate ca by yrLate stg crc ca by ageLate stg prostate ca by age Late stg f. breat ca by age grplate stage ca inc by sex late stage ca inc. by countylate stage ca inc. by districtYYYYYYYYY Y Y Y Y YYYYYYYYYYYYYYYYCDocuments and SettingsNancy.BirkhimerLocal SettingsTemporary Internet FilesContent.IE5EEBTE1XGAllCancer-mort-trend.xlsCa Mortality by yearY%Book1Sheet1Sheet2Sheet3YYY8 Index<Start_18<Start_2<Start_20<Start_21<Start_22<Start_24<Start_4<Start_5<8MZOCount Crude RateAge-adjusted RateRate95% CICounty Androscoggin 76.6 - 97.3 65.5 - 83.5 Aroostook 78.3 - 104.2 56.7 - 76.2 Cumberland 63.1 - 74.5 54.3 - 64.2Franklin 62.1 - 100.3 51.4 - 84.2Hancock 65.5 - 93.6 48.2 - 69.8Kennebec 69.4 - 87.9 56.7 - 72.1Knox 67.8 - 101.0 47.3 - 71.6Lincoln 78.9 - 117.8 52.1 - 79.2Oxford 78.2 - 107.7 59.7 - 82.7 Penobscot 68.4 - 84.8 58.5 - 72.7 Piscataquis 74.5 - 131.6 52.2 - 95.0 Sagadahoc 49.8 - 80.7 40.7 - 66.8Somerset 77.2 - 108.2 60.4 - 85.3 Washington 83.6 - 124.9 59.6 - 90.6York 79.2 - 94.2 64.5 - 76.9Public Health DistrictCentral 74.6 - 90.5 60.1 - 73.1Downeast 76.7 - 100.0 55.7 - 73.2Midcoast 72.1 - 88.9 54.1 - 67.1Penquis 71.1 - 86.9 59.5 - 72.9Western 79.6 - 95.0 65.8 - 78.8GData Source: fb88 Cancer Registry, November 2011 NPCR data submission.Count: Number of cases diagnosed with malignant cancer, based on county in which patient was residing at the time of diagnosis.,95% CI: 95% confidence interval of the rate.oTobacco Related Cancer Incidence, Excluding Lung Cancer, by County and Public Health District, fb88 2007- 2009Waldo 62.2 - 95.2 50.9 - 79.4~Tobacco related cancer excluding lung: SEER Cancer site recode: 22020, 20080,21100 ,21010,21020,29020,29010,27010, 3502 [which include ICD-O-3 codes C320-C329, C100-C109,C150-C159,C160-C169,C250-C259,C530-C539,C670-C679,C649, C659,(C420, C421, C424, ICD-O-3 histology type:9840, 9861,9866, 9867, 9871-9874, 9895-9897, 9910, 9920]. Rates are calculated using SEER*Stat Version 7.0.5.Crude rates are new cases per 100,000 population. Age-adjusted rates are new cases per 100,000 population age-adjusted to the U.S. 2000 standard population.fb88 63.0 - 67.6 78.1 - 83.8R}E EkGFF@GGG~\HHUaJccB g2ɀ (T`Sb  dMbP?_*+%=:&R&"Calibri,Regular"&12fb88 State Health Assessment, 2012&?'?(?)?MHP LaserJet P1006dXXHP LaserJet P1006 d'4@ @ dd"dXX333333?333333?&43U} C} O} P} P} P} $P} B(AA;@hC;CZC!C!C!C !C !C !C !C !C!C!C!C!C!@!@!@!@!@!@!C!C!C!C!C!C!C!@ |F|||||@@@@@@}    ~ V U T U {L~ @9T@ N~ @ Mzqrststz uvwxyx ZkPq@`U@ SefffffR@ S [ l`h@aV@ D ~ f@ D [ ~ l؁@ afffff&Q@ D ~ f@ D [ lQ@aS@ D~ fܹ@ D [ l_@a@ D~ f@ D [ lq@a@ D~ fP@ D [ lY@a@@ D~ fж@ D [l@Y@a@ DfP@ D [lc@a@ DfQ@ D [!lPu@aĽ@ D"~ f@ D# \$lI@a@ D%fQ@ D& ['mQ@b@ W(~ g@J@ E) [*ma@b@ W+~ gR@ E, [G~ n@V@bYS@ _H~ h@ ^I [-mY@b@ W.~ gԼ@ E/ [0mX@bU@ W1~ gQ@ E2 F3ocXiG [ l`h@aV@ D ~ f@ D [4lz@a@ D5fP@ D6 [ ~ l؁@afffff&Q@ D ~ f@ D [7l@l@a!@ D8~ f@ D9 [:lv@aT@ D;~ f@ D< [=lx@a@ D>fyP@ D? [@l@aU@ DAffffffR@ DB ]0pX@dU@ Y1~ jQ@ H2D l"HFb"RNXNNNNRRNRNNXNN"NRXNNRR @!"O#(@$@%&'O ILMNJK !C! "D" #J# $K$ %QE&Q'R'PPPPr"""" >@dPR  J $$""!!##ggD Oh+'0HPl Birkhimer, Nancy Teach, FinnMicrosoft Excel@L>C@_@pUS՜.+,0 PXp x State of fb88 Incidence by county  Worksheets  !"#$%&'()*+,-./013456789;<=>?@ARoot Entry Fނ 6WorkbookcSummaryInformation(2DocumentSummaryInformation8: