immap Because Information Matters
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- Eleanor Nicholson
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1 immap Because Information Matters
2 Vision For immap to be an international resource, for relief and host government agencies, that successfully integrates data into practical humanitarian plans through informationmanagementandsupporting management and services.
3 Mission immap s mission is to alleviate the pain and suffering of those in need. immap accomplishes this important mission by providing decision makers at all levels with reliable, relevant, and timely information upon which to act.
4 Core Competencies Humanitarian Information Management Support; Landmine/UXO /UXOSurveys and Information Management; Public Health, Refugee Surveys and Rapid Humanitarian Assessments; Technical Assistance; Technical Advisory Support; Software Development Training
5 Partnerships WFP Stand By Partner IMSMA GlobalImplementing Partner Geographic Information Support Team (GIST) InterAgency Standing Committee (IASC) Information Management Task Force InterAction Microsoft GeoDecisions
6 Donors
7 The relief cycle Relief Initial / rapid postdisaster assessment Rehabilitation In-depth / sectoral assessment Reconstruction Economic and social impact assessment Emergency Search, rescue, and evacuation IMPACT Mitigation and Preparedness Vulnerability / risk assessment WARNING
8 Need to set up distribution system quickly Need to take account of existing structures t Wide variety of goods to transport Conflicting agendas within humanitarian community Poor/inaccurate information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability Photo: WFP
9 The IM Process DATA COLLECTION Infrastructure Assessment Commodity Tracking Fuel Surveys Customs surveys Logs coord meetings ANALYSIS/INFO GENERATION Databases GIS Web CMS ROM INFO PUBLICATION Website Maps Reports Bulletins/SitReps COORDINATION Logs coord meetings Prioritisation Movement Control Strategic Air Coord. CMLog We support the decision-making process, we don t make the decision
10 The Ideal DATA COLLECTION ANALYSIS/INFO GENERATION INFO PUBLICATION COORDINATION The cat is on the mat Lets feed/ shelter/cure the cat
11 The Reality DATA COLLECTION ANALYSIS/INFO GENERATION INFO PUBLICATION COORDINATION Das chat is sotto el tatami
12 IM Product Pyramid USER BASE 3 months Models (Route optimisation) 1 we eek 1 month Interactive maps (OASIS, GoogleEarth) Static, situational maps (pdf/jpeg), graphs, reports
13 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
14 water sources camp sites GPS Surveys
15 Standardisation
16 Compilation and archiving Roads Sourced by UNJLC (generally 1:50,000) Existing Global Roads Data (generally 1:1,000,000)
17 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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21 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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23 VHF line of sight analysis
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25 Landslide risk analysis
26 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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30 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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33 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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39 IM to support problems of Poor/Incomplete information Chaos/Political factors/security Terrain Climate Damaged infrastructure Dynamic theatre of operations Storage availability
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43 IM in support of operational planning What is the optimal route between A and B? What is the next best alternative if this route is blocked? What is the level of accessibility of population X? What is the optimal configuration of pre- positioning warehouses?
44 Origin-Destination matrix e.g: Origin-Destination matrix for Mozambique Distance (Km)/ TravelTime Beira Blantyre Caia Charre Chemba Chiramba Chupanga Guro Lilongwe Luabo Manica Maputo Marromeu Massenguza Mopeia Velha Morrumbala Beira 12h2' 4h28' 6h13' 7h43' 9h49' 6h26' 6h42' 15h18' 16h34' 4h12' 19h49' 8h42' 13h55' 13h13' 9h28' 5h54' Blantyre 567 7h41' 5h48' 8h14' 10h20' 10h50' 6h43' 5h10' 14h1' 10h36' 29h1' 13h6' 18h19' 10h40' 9h46' 6h12' Caia h53' 3h22' 5h29' 3h16' 10h7' 12h37' 12h13' 7h37' 23h14' 5h32' 10h45' 8h52' 5h7' 1h33' Charre h26' 4h32' 5h2' 11h53' 10h44' 11h3' 9h23' 24h59' 7h17' 12h30' 7h42' 3h57' 0h24' Chemba h6' 6h31' 10h51' 13h10' 12h46' 10h52' 26h29' 8h47' 14h0' 9h25' 5h40' 2h6' Chiramba h38' 8h46' 15h16' 14h52' 12h38' 28h35' 10h54' 16h6' 11h31' 7h46' 4h13' Chupanga h6' 15h46' 15h22' 9h35' 25h12' 2h15' 7h28' 12h1' 8h16' 4h42' Guro h36' 20h30' 3h52' 22h17' 14h21' 19h34' 17h9' 15h7' 11h34' Lilongwe h57' 12h28' 30h53' 18h2' 23h14' 15h36' 14h42' 11h8' Luabo h43' 35h20' 17h38' 22h51' 3h21' 7h54' 10h44' Manica h47' 11h51' 17h4' 16h22' 12h37' 9h3' Maputo h28' 32h41' 31h59' 28h14' 24h40' Marromeu h12' 14h17' 10h32' 6h58' Massenguza h30' 15h45' 12h11' Mopeia Velha h33' 7h23' Morrumbala h38' Mutarara Nampula Quelimane Sena Tambara Tete Mutara
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46 Allocation of distribution points to warehouses by optimal route
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48 Contingency planning Road blockages
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50 Setting immap IM process IDPs Illicit it Crops Sectoral Stats t Landmines UXO Humanitarian Events Geographic Layers Who What Where OCHA: (Humanitarian Analysis) Period: : ~7,000 records Without X,Y UNDSS: (Security/Conflict Analysis) Daily Security Report Other sources: CINEP, CERAC, P.Obs. Raster: TLM 100K, DEM 90m, TLM50K?, Ikonos? Vector: Admin, Hydrology, Roads, Ppl, infrastructure, immap is vectorizing ppl and point of interest from TLM100 OCHA: More than 400 variables available. OCHA: 4,000 Orgs registered 200 Orgs program/project p registered ACCION SOCIAL: Int l. Coop. Map Humanitarian Offer ACCION SOCIAL: Period: Methodology: IDP Exp/Rec. by Record CODHES: Period: Methodology: IDP Reception Estimated Other sources: Caritas Colombia UNODC: SIMCI project. Coca Census PAICMA: 12,900 records (landmines & UXO) 35% with X,Y 7,200 Victims (65% Army, 35% civilians) Other Sources: Colombian Campaign To Ban Landmines, Caritas Colombia, Field Source: Colombian Government and State Organizations
51 Panama Córdoba Antioquia Atlántico HWG Magdalena Sucre HWG Cesar HWG Aruba Netherlands Antilles La Guajira Bolívar Norte de Santander HWG HWG Santander Arauca Venezuela Humanitarian Context Landmines HWG: UNS, ingo, nngo, Gov IDP: Expelled Armed Confrontations Chocó HWG Boyacá Caldas Cundinamarca Risaralda Quindío Bogotá, HWGD.C. Tolima Valle del Cauca HWG Meta Casanare Vichada Homicides: Protected Person Demobilizations Cauca Nariño HWG Huila HWG Guaviare Guainía Forced Disappearance Putumayo Caquetá Vaupés Legend Landmines 1-16 Ecuador Amazonas Brazil Peru
52 OASIS Colombia Landmine: PAICMA (Jan 1990 Sep 2008) Infrastructure: Hospitals: Health Ministry (Dec 2007) Utilities Coverage: National Department of Statistics (Jan 2008) Road Network: National Institute or Roads (Dec 2007) Conflict: Coca Crops: UNODC Census ( ) Humanitarian Events: OCHA (Jan 2007 Sep 2008) IDP: Agency for Social Action and Int. Coop. ( ) Hum. Risk Index: OCHA-Santo Tomas Univ. (May 2008) Demography: by Ethnic Groups, Area National Department of Statistics(2008)
53 Displaying Sectoral Data IDP: Agency for Social Action and International Cooperation, 1997 June 2008 Aqueduct System Coverage: National Department t of Statistics, ti ti January 2008 Humanitarian Risk Index: OCHA Santo Tomas University, May 2008
54 Landmine Events
55 Humanitarian Events Source: OCHA Database (Jan 2007 Sep Primary Source: Ombudsman office, Human Rights Vice- Presidential Observatory, Military Forces, National Security Department, Media. immap is purging OCHA Hum. Events Database to get more accurate geographic position.
56 Data Fusion (Putumayo Department) Landmine Events, Humanitarian Events, IDPs and Coca Crops
57 Data Analysis Sample: Antioquia Victim Prediction Map (based on historic victims data: Jan 1990 Sep 2008) 10 most Municipalities affected Municipality Qnty Accidents ANORÍ 91 ARGELIA 73 COCORNÁ 72 DABEIBA 72 GRANADA 62 ITUANGO 118 SAN CARLOS 141 SAN FRANCISCO 107 SAN LUIS 75 SONSÓN 71
58 Data Analysis Sample: Antioquia Cuenta de Type 100% Victims by Age Group 80% 60% 40% Age Under 18 Over 18 Over 18 20% 0% ANORÍ ARGELIA COCORNÁ DABEIBA GRANADA ITUANGO SAN CARLOS SAN FRANCISCO SAN LUIS SONSÓN Victims by Occupation 100% Cuenta de Type Municipality Victims by Sex 100% Cuenta de Type 80% 80% 60% 40% Occupation Military Illegal Armed Actor Civil 60% 40% 20% 20% 0% 0% Sex Not Reported Male Female ANORÍ ARGELIA COCORNÁ DABEIBA GRANADA ITUANGO SAN CARLOS SAN FRANCISCO SAN LUIS SONSÓN ANORÍ ARGELIA COCORNÁ DABEIBA GRANADA ITUANGO SAN CARLOS SAN FRANCISCO SAN LUIS SONSÓN
59 Data Analysis: Ituango Municipality, Antioquia Department There are not Primary, Secondary or Tertiary Road. 1 Hospital: Level 1 Occupation Sex Condition i Area Age Group Victims Characteristics (Registered on IMSMA) Civil 22.88% Military 77.12% Male 98.31% Female 1.69% Dead 24.58% Injured 75.42% Rural % Urban 0.00% Under % Over % Population Characteristics
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61 CDC Projects in Mine Action KAP Survey Survey to assess knowledge, attitudes and practices (behaviors) related to landmines and UXO in affected areas of the country Multi-stage cluster design Randomly select household in affected villages/towns Interview one randomly selected person ( 15 years) in each household Data collection to begin September, 2009
62 CDC Projects in Mine Action Injury Surveillance Support Provided support to ICRC and CCCM for landmine/uxo injury surveillance Training on injury surveillance EpiInfo database and analysis tools
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