ࡱ> %'"#$7 #bjbjUU %j7|7|Rlbbbb$>bߎ>g>g>g>g>g>g>g>g^``````$ z>g>g>g>g>go  >g>gooo>gV>g>g^o>g^o oss>g2g ``bo.ss|0ߎs/o/soNUTRITION SURVEYS 1999 2000 Region/Zoneworeda Date of surveyAgencySample sizeMethodology Nutrition Indicators Tigre throughoutAugust 1999SCF-UK93730 cluster Mean WHL<80%WFLW/H<-2 Z scoreW/H <-3 Z score92.8%5.5%7.7 %1.0% Tigre Eastern Asti Wenberta Saesi TsaedaembaFeb 2000 May 2000WVI 685 1412W/H <-2 Z scoreW/H <-3 Z scoreFeb 2000 13.1% 22.3%May 2000 10.9% 20.1%Feb 2000 NA 3.7%May 2000 2.6% 4.4%Amhara: N.Wello S. Wello Wag Hamra Oromyia Bugna Wadla Gidan Delanta Dawnt Gubalafto Dessie Zuria Tenta Legambo Ambassel Mekdella Dehana ChefaMay-June 1999SCF-UK+ 290058 clusters in worst drought affected woredas.Mean WFL< 80% WFL88.8% 89,4% 87.8% 89.4% 90.0% 89.8% 90.5% 90.8% 90.7% 91.2% 88.2% 92.8%4% 7% 3% 7% 7% 7% 3% 5% 6% 4% 4% 2%Amhara N.Wello S. Wello Wag Hamra Bugna Wadla Gidan Delanta Dawnt Dessie Zuria Tenta Legambo DehanaAug - Oct 1999SCF-UK+ 250050 clusters in worst drought affected woredas.Mean WFL< 80% WFLAug 91.2% 91.1% 88.4% 87.5% 91.9% 89.2% 89.1% 89.7%Sept 88.7% 90.7% 88.2% 87.6% 90.9% 89.1% 89.7% 89.5%Oct 89.7% 90.6% 88.4% 87.5% 90.1% 88.4% 89.6% 90.5% Aug 6.6% 7.3% 8.9% 11.0% 4.0% 10.0% 8.4% 8.3%Sept 10.6% 5.5% 8.2% 8.0% 6.2% 8.3% 6.0% 8.2%Oct 7.0% 5.7% 9.6% 7.6% 5.2% 11.7% 6.4% 6.4%Amhara N.Wello S. Wello Wag Hamra Bugna Wadla Gidan Delanta Dawnt Dessie Zuria Tenta Legambo DehanaMarch- May 2000SCF-UK+ 250050 clusters in worst drought affected woredasMean WFL< 80% WFLMarch 2000 90.1% 90.5% 91.1% 88.3% 90.2% 89.3% 89.2% 90.1%May 2000 90.6% 91.1% 91.6% 89.7% 91.0% 90.3% 90.1% 89.6%March 2000May 2000Amhara Wag Hamra  Dehana SigwalaMay, 2000MSF-CH 2006 1476ScreeningMUAC<125mMUAC <110m16.6% 26.8%2.2% 4.2%Amhara WelloMay 2000Concern90030 clustersW/H <-2Z score + oedW/H <-3Z score + oed11.2%3.0%Amhara N Shewa S Wello Oromyia Antsokia Gemza Gera Keya Tenta Chefa Artuma JileNov 99/ May 2000WVI  783 1050 1182 756 756Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreNov 99 6.2% 13,5% 21.5% 7.4% 8.4%May 2000 6.1% 11,5% 16.5% 11,0% 5.4%Nov 99 NA 1.7% 2.9% 1.2% 0.9%May 2000 0.5% 0.5% 1.9% 1.1% 0.4%Oromyia West Shewa Kersana KondalitiNov 1999 May 2000WVI 685 Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreNov 99 6.5%May 2000 6.1%Nov 99 0.5%May 2000 0.7%Oromyia East Shewa Adama BosetNov 1999 May 2000WVI  619 498Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreNov 99 4.9% 6.0%May 2000 8.2% 8.0%Nov 99 1.6% 0,0%May 2000 1.3% 0.6%Oromyia East Hararghe Gola Oda Fedis1999SCF-UK + 400 + 4008 randomly selected PAs in 2 worst drought affected woredas.Mean WFL< 80% WFLSept 89.9% 90.0%Oct 89.8% 90.6%Nov 90.3% 91.7%Sept 8.5% 7.5%Oct 6.1% 4.1%Nov 4.4% 2.9%Oromiya Borena  Teltele Dire YabeloMarch 2000Care 261 723 56425 clustersW/H <-2 Z scoreW/H <-3 Z score34.8% 22.1% 21.8%1.5% 2.1% 2.3%Oromiya Borena  Teltele Dire YabeloMarch 2000 NCA/ ECCMY/ DIA 450 500 600 9 clusters 10 clusters 12 clustersMean WFLWFL< 80%WFL< 70%89,3% 77,0% 86,1%6.6% 61.8% 19.4%0,0% 20.2% 4.7%Oromiya Borena Dire and YabelloApril 2000HelpAge803Convenience sampleBMI <18.5BMI 16-17BMI <16.0MUAC <220mm79.2%26.5%27.8%55,8%Oromiya Borena Yabello and TelteleJune 2000Goal195030 clustersW/H <-2Z score + oedW/H <-3Z score + oed11.8%1.3%Oromiya Borena Yabello and TelteleJune 2000GoalElderly 170Convenience sampleBMI 23.1-24BMI 22.1-23BMI <2213.2%17.346.8%SNNPR Konso KonsoAugust 1999MSF-H89230 clustersW/H <-2 Z score + oedW/H <-3 Z score + oed20.2%1.2%SNNPR Konso KonsoFeb. 2000MSF-H91530 clustersW/H <-2 Z score + oedW/H <-3 Z score + oed12.9%2.0%SNNPR North Omo Damot Weyde April 2000Concern96030 clustersW/H <-2 Z score + oedW/H <-3 Z score + oed25,6%4.3%SNNPR North Omo Damot Weyde July 2000Concern891 30 clusters W/H <-2 Z score + oedW/H <-3 Z score + oed6.4%1.0%SNNPR North Omo Damot Weyde July 2000Concern 777 + 13230 clusters adults + elderlyBMI < 17BMI < 16BMI < 17BMI < 1611.5%3.5%24.0%12.0%SNNPR North Omo Damot Gale May 2000MSF CH 3105screeningMUAC <125mmMUAC <110mm35.3%7.6%SNNPR North Omo Humbo Sodo Zuria Boreda Abaya ChenchaNov 99 Feb 2000 May 2000WVI 1506 1611 739 747Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreNov 99 8.2% 6.7% 7.9% 5.7%Feb 00 9.6% 16.7% - -May 00 8.2% 16.4% 5.3% 7.0%Nov 99 NA NA 1.9% 0.3%Feb 00 NA NA - -May 00 1.3% 2.5% 0.5% 0.8%SNNPR North Omo  Boloso SurieJuly 2000Oxfam901 30 clustersW/H <-2 Z score + oedW/H <-3 Z score + oed45.1%20.4%SNNPR South Omo SalamagoMay 2000MSF CH102screeningMUAC <125mmMUAC <110mm38,4%4.5%SNNPR South Omo Kuraz Hamer BenaMarch 2000NCA/ ECCMY/ DIA730 5 clusters per weredaMean WFLWFL< 80%WFL< 70%88.3% 89.9%15.3% 14.5%2.6% 2.1%SNNPR Hadiya  Badawacho SoroFeb 2000 May 2000WVI 996 751Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreFeb 2000 3.9% 4.7%May 2000 6.1% 11.9%Feb 2000 0.6% 1.1%May 2000 0.5% 0.7%SNNPR Hadiya BedawatchoJuly 2000Concern103Rapid assessmentMUAC <125mmMUAC <110mm53.3%19.4%SNNPR Hadiya  Badawacho SoroNov. 99 May 2000WVI 996 751Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreFeb 2000 3.9% 4.7%May 2000 6.1% 11.9%Feb 2000 0.6% 1.1%May 2000 0.5% 0.7%SNNPR K.A.T  Kacha Bira Gedida Gamela Omo ShekeloWVI 708 773 742Randomly selected PAsW/H <-2 Z scoreW/H <-3 Z scoreFeb 2000 10.2% NA 15.3%May 2000 17.4% 17.2% 23.3%Feb 2000 0.8% NA 1.1%May 2000 2.8% 1.3% 3.0%Somali GodeGode Adadle Dec. 99SCF USA508Rapid AssessmentW/H <-2 Z score54.8%Somali Gode Gode (town, IDPs) trhoughoutFeb 2000MSF-B 100 91Rapid AssessmentMUAC<125mmMUAC <110mm38% 43%13% 16%Somali GodethroughoutMarch 2000MSF-B27,830ScreeningMUAC<125mmMUAC <110mm32.4%13%Somali GodeDenan (town + IDPs)May 2000MSF-B76530 clusterW/H <-2Z score + oedW/H <-3Z score + oed52.9%11.9%Somali GodeGode May 2000World Vision3,863ScreeningWFH <80%WFH <70%39.4%5.6%Somali GodeGode June 2000ICRCscreeningSomali GodeGode July 2000SCFUSA/ UNICEF85530 clusterW/H <-2Z score + oedW/H <-3Z score + oed28.9%5.3%Somali GodeGode July 2000SCFUSA/ UNICEF30 cluster elderly Somali Afder  Dolobay BareMarch 2000NCA/ ECCMY/ DIA 600 60030 clustersMean WFLWFL< 80%WFL< 70%87.9% 89.0%11.5% 18.2%0.5% 1.0%Somali LibenDolo OdoMarch 2000NCA/ ECCMY/ DIA60030 clustersMean WFLWFL< 80%WFL< 70%87.6%10.6%0.4%Somali Korahe Shilabo Kebre Dahar (town) Kebre Dahar (IDPs) Kebre Dahar (rural) Dobowein weredaApril 2000ACF-F 229 126 63 295 111ScreeningMUAC < 120mmMUAC <110mm5.1% 2.4% 15.8% 29.7% 27.9%0.8% 0.0% 6.3% 7.4% 4.5%Somali Korahe Kebre Dahar Kebre DaharJune-July 2000ACF-F 37 128ScreeningMUAC < 125mmMUAC <110mm8.0% 32.8%0,0% 0.5%Somali Jijiga Harshin (res) Harshin (IDP)May 2000Care 200 50 Convenience sampleW/H <-2 Z scoreW/H <-3 Z score32.0% 50.0%5.5% 22.0%Somali Shinelle Idora (resident) Idora (IDP)July 2000OXFAM UK 78 96screeningMUAC<125mmMUAC <110mm74% 84%30% 29%  Mean weight for length (WFL) expressed in % of mean of reference population (=100%); Global malnutrition expressed in % weight for height (W/H) with a Z score < -2 + oedema Severe malnutrition expressed in % weight for height (W/H) with a Z score < -3 + oedema Global malnutrition expressed in % weight for height (W/H) < 80% of the median + oedema Severe malnutrition expressed in % weight for height (W/H) < 70% of the median + oedema Global malnutrition expressed Mid Upper Arm Circumference (MUAC) < 125 mm + oedema Severe malnutrition expressed Mid Upper Arm Circumference (MUAC) < 110 mm + oedema Body Mass Index (BMI) as expressed in weight /height x height "Ldeyz}FHstwxwx4=\]6 >      e f g h k l s w 6 7 9 : ` e n s >*CJj0J5U5CJ55CJ[ !".56ELXde{| $$Ifa$ $$Ifa$$If$a$$a$R!#|}5////$If$$Ifl4֞ !~604 la^0xFf $$Ifa$Ff$If09BFGHLQRbr $$Ifa$$If$If rstu"T$If$$Ifl4ִ !*~6``````H  0    4 la^uvwxyFf  $d$Ifa$$If (5;CLU\bpw~ $d$Ifa$$If"$If$$Ifl4ִ !*~6``````H  0    4 la^ !$'*-0 $d$Ifa$$If0344$$Ifl4ִ !*~6 H  0    4 la^ $d$Ifa$4;<EFGPQRS]^_ekq $d$Ifa$$If"$If$$Ifl4ִ !*~6``````H  0    4 la^ #)/5;@FLRX^djptz d$If$If     % $d$Ifa$ d$If% + 0 5 6 = F G H Q R S T U _ ` a g m s 4$IfFf $d$Ifa$  $d$Ifa$$If    "<$If$$Ifl4ִ !*~6``````H  0    4 la^      & , 2 8 > D M S Y _ e k q w } xFf`$If $$Ifa$$If "t$If$$Ifl4ִ !*~6``````H  0    4 la^   $$Ifa$$If  "h$If$$Ifl4ִ !*~6 H  0    4 la^   $ , 0 < Q f $$Ifa$ $d$Ifa$$Iff g h "H d$If$$Ifl4ִ !*~6``````H  0    4 la^h i j k l m s x $d$Ifa$$If d$Ifx y "$If$$Ifl4ִ !*~6 H  0    4 la^  ! 1 $$Ifa$$If d$If1 2 3 "8$If$$Ifl4ִ !*~6``````H  0    4 la^3 4 5 6 7 8 ? 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