DOCSLIB.ORG

IOM Nigeria DTM COVID-19 Point of Entry Dashboard 16

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
IOM Nigeria DTM COVID-19 Point of Entry Dashboard 16 COVID-19 Point of Entry Dashboard 16: DTM North East Nigeria. Nigeria 22 - 28 AUGUST 2020 Barh-El-Gazel Nord KEY FIGURES Fouli Kanem Kanem Barh-El-Gazel Sud Kaya Barh-El-Gazel Wadi Bissam Abadam Lac 47 Barh-El-Gazel Ouest 9 Wayi Total movements (within, incoming and outgoing) Mamdi Points of Entry observed Mobbar Kukawa Dagana OVERVIEW Guzamala Hadjer-Lamis IOM DTM in collaboration with the World Health Organization (WHO) and the Gubio Monguno Nganzai Haraze-Al-Biar state Ministry of Health have been conducting monitoring of individuals moving Marte Ghana Dababa into Nigeria's conflict-affected northeastern states of Adamawa and Borno Gamboru B Yobe Magumeri Ngala N'Djamena under pillar four (Points of entry) of COVID 19 preparedness and response N'Djaména Kala/Balge BornoJere Mafa 11 10 planning guidelines. Dikwa Maiduguri Chari Kaga During the period 22 - 28 August 2020, 47 movements were observed at Nine Konduga Baguirmi Bama Chari-Baguirmi Points of Entries in Adamawa and Borno states. Of the total movements recorded, 10 were incoming from N’djamena in Chad and 1 from Extreme Nord Bauchi Gwoza in Cameroon. Damboa Chad 1 Mayo-Lemié Chibok Madagali Biu Extreme-Nord A range of data was collected during the assessment to better inform on Nigeria Opp Michika Secretary Askira/Uba migrants’ nationalities, gender, reasons for moving, mode of transportation and Michika Loug-Chari Kwaya Kusar Hawul timeline of movement as shown in Figures 1 to 4 below: Bayo Nzakwa Gombe Adamawa Mubi North . Bauchi Hong Mayo-Boneye Shani Gombi Mubi SouthDuvu Mayo-Kebbi Est MAIN NATIONALITIES OBSERVED (FIG. 1) GENDER (FIG. 2) Shelleng Maiha Mayo-Binder Guyuk Song Mont Illi 2% 4% Bauchi Tandjilé Est Lac Léré Lamurde Kabbia Numan Girei Tandjile Ouest Demsa Mayo-Kebbi Ouest 85% Yola South Tandjilé Nigerien Yola North Tandjilé Centre Fufore Mayo-Belwa Mayo-Dallah Kwolie Pegi Cameroon Chadian Ngourkosso± 94% Ketembere Guéni Shelleng Park Nigerian 15% Logone Occidental Lac Wey Jada Dodjé Nord Ganye La Nya Pendé REASONS FOR MOVEMENT (FIG. 3) Taraba Monts de Lam Toungo Logone Oriental Reason for Movement Number of Individuals In Percentage Health Condition 2 4% Economic Migration 3 6% Short Term Local Movement 3 6% Cross border movement Family visit 9 20% X Incoming travelers Seasonal 30 64% Points of Entry Grand Total 47 100% Adamaoua Neighboring countries MODE OF TRANSPORTATION (FIG. 4) Nord-Ouest Main roads 0 37.5 75 150 Km 35 Ouest Centre Est © OpenStreetMap (and) contributors, CC-BY-SA SOURCE: ESRI, IOM & OPENSTREETMAP (OSM) The map is for illustration purposes only. The depiction and use of boundaries, geographic names and related data shown are not warranted to be error free nor do they imply judgment on the legal status of any territory, or any endorsement or accpetance of such boundaries by IOM. PASSENGERS HEALTH SCREENING 4 2 3 3 Through interviews with travelers by enumerators at Points of Entry, information was obtained from travelers’ points of departures, intended destination, vulnerabilities, Bus Motorcycle Three wheel Car Foot temperatures, reasons for moving and mode of transport. Additional questions concerning the COVID-19 pandemic were asked to determine if travelers exhibit any symptoms of TEMPERATURES TAKEN (FIG. 5) coronavirus; if they had come in contact with anyone who exhibiting such symptoms or s 14 might have died from it. l a u d i v i 10 Furthermore, the assesment was to check if travelers had taken any medications in the d n I last 24 hours and also to know if they are aware of the authorities to call in case of f o emergencies. The results are shown in figures 5 to 8. r 6 e b m u N 2 HAVE YOU HAD ANY OF THESE SYMPTOMS HAVE YOU COME IN CONTACT WITH ANYONE (FEVER, COUGH) IN THE LAST 14 DAYS? (FIG. 7) WHO IS SICK IN THE LAST 14 DAYS? (FIG. 8) 0 35 35.5 36 36.5 37 37.5 38 Temperatures 45 44 HAVE YOU SOUGHT ANY MEDICAL CARE IN ANY HEALTH FACILITY WITHIN THE LAST 14 DAYS? (FIG. 6) 47 No 2 3 Fever None Fever None "When quong, paraphrasing, or in any other way using the informaon menoned in this report, the source needs to be stated appropriately as follows: “Source: Displacement Tracking Matrix (DTM) of the Internaonal Organizaon for Migraon (IOM), August 2020”" For more information or to report an alert, please contact: Henry Kwenin, DTM Project Coordinator: [email protected] | +234 903 8852 524.
Load more

Recommended publications
  • World Bank Document
    E2604 V. 2 RP10291 BANQUE MONDIALE REPUBLIQUE DU TCHAD ************** UNITE-TRAVAIL-PROGRES Public Disclosure Authorized MINISTERE DE L’AMENAGEMENT DU TERRITOIRE, DE L’URBANISME ET DE L’HABITAT PROJET D’APPUI AU DEVELOPPEMENT LOCAL PLAN DE GESTION DES PESTICIDES ET DES PESTES (PGPP) Public Disclosure Authorized PROADEL-2 RAPPORT PROVISOIRE CORRIGE Public Disclosure Authorized PREPARE PAR : Jean LINGANI, Expert en Evaluation Environnementale et Sociale, 00(226) 70 26 31 77 E-mail : [email protected] 15 octobre 2010 Public Disclosure Authorized PGPP PROADEL 2 octobre 2010 2 SOMMAIRE - EXECUTIVE SUMMARY........................................................................................................ 4 RESUME EXECUTIF ........................................................................................................................... 6 I INTRODUCTION ................................................................................................................... 10 I.1.Implications des activités du projet PROADEL-2 la gestion des pesticides dans l’agriculture et la santé 10 I.2. Objectif du PGPP 11 II PRESENTATION DU PROADEL-2.................................................................................... 12 II.1. Objectifs de la deuxième phase du PROADEL 12 II.2. Description des composantes : 13 II.4. Localités couvertes par le projet 15 III LE CADRE JURIDIQUE ET CAPACITES INSTITUTIONNELLES ....................................... 21 III.1 Le Cadre législatif et réglementaire 21 III.1.1 Au niveau national ........................................................................................................
    [Show full text]
  • Summary of Protected Areas in Chad
    CHAD Community Based Integrated Ecosystem Management Project Under PROADEL GEF Project Brief Africa Regional Office Public Disclosure Authorized AFTS4 Date: September 24, 2002 Team Leader: Noel Rene Chabeuf Sector Manager: Joseph Baah-Dwomoh Country Director: Ali Khadr Project ID: P066998 Lending Instrument: Adaptable Program Loan (APL) Sector(s): Other social services (60%), Sub- national government administration (20%), Central government administration (20%) Theme(s): Decentralization (P), Rural services Public Disclosure Authorized and infrastructure (P), Other human development (P), Participation and civic engagement (S), Poverty strategy, analysis and monitoring (S) Global Supplemental ID: P078138 Team Leader: Noel Rene Chabeuf Sector Manager/Director: Joseph Baah-Dwomoh Lending Instrument: Adaptable Program Loan (APL) Focal Area: M - Multi-focal area Supplement Fully Blended? No Sector(s): General agriculture, fishing and forestry sector (100%) Theme(s): Biodiversity (P) , Water resource Public Disclosure Authorized management (S), Other environment and natural resources management (S) Program Financing Data Estimated APL Indicative Financing Plan Implementation Period Borrower (Bank FY) IDA Others GEF Total Commitment Closing US$ m % US$ m US$ m Date Date APL 1 23.00 50.0 17.00 6.00 46.00 11/12/2003 10/31/2008 Government of Chad Loan/ Credit APL 2 20.00 40.0 30.00 0 50.00 07/15/2007 06/30/2012 Government of Chad Loan/ Credit Public Disclosure Authorized APL 3 20.00 33.3 40.00 0 60.00 03/15/2011 12/31/2015 Government of Chad Loan/ Credit Total 63.00 93.00 156.00 1 [ ] Loan [X] Credit [X] Grant [ ] Guarantee [ ] Other: APL2 and APL3 IDA amounts are indicative.
    [Show full text]
  • Paper Submitted for Presentation at UNU-WIDER’S Conference, Held in Maputo on 5-6 July 2017
    DRAFT WIDER Development Conference Public economics for development 5-6 July 2017 | Maputo, Mozambique This is a draft version of a conference paper submitted for presentation at UNU-WIDER’s conference, held in Maputo on 5-6 July 2017. This is not a formal publication of UNU-WIDER and may refl ect work-in-progress. THIS DRAFT IS NOT TO BE CITED, QUOTED OR ATTRIBUTED WITHOUT PERMISSION FROM AUTHOR(S). The impact of oil exploitation on wellbeing in Chad Abstract This study assesses the impact of oil revenues on wellbeing in Chad. Data used come from the two last Chad Household Consumption and Informal Sector Surveys ECOSIT 2 & 3 conducted in 2003 and 2011 by the National Institute of Statistics and Demographic Studies. A synthetic index of multidimensional wellbeing (MDW) is first estimated using a multiple components analysis based on a large set of welfare indicators. The Difference-in-Difference approach is then employed to assess the impact of oil revenues on the average MDW at departmental level. Results show that departments receiving intense oil transfers increased their MDW about 35% more than those disadvantaged by the oil revenues redistribution policy. Also, the farther a department is from the capital city N’Djamena, the lower its average MDW. Economic inclusion may be better promoted in Chad if oil revenues fit local development needs and are effectively directed to the poorest departments. Keys words: Poverty, Multidimensional wellbeing, Oil exploitation, Chad, Redistribution policy. JEL Codes: I32, D63, O13, O15 Authors Gadom
    [Show full text]
  • IOM Nigeria DTM COVID-19 Point of Entry Dashboard (June 2020)
    COVID-19 Point of Entry Dashboard: DTM North East Nigeria. Nigeria Monthly Snapshot June, 2020 Mamdi Barh-El-Gazel Ouest Wayi Mobbar Kukawa Lac Guzamala Dagana Dababa 45 766 Gubio Hadjer-Lamis Total movements (within, incoming and outgoing) Monguno Points of Entry Nganzai Ghana Haraze-Al-Biar observed Marte Magumeri Ngala N'Djamena 7 N'Djaména Yobe 164 Kala/Balge 13 OVERVIEW Jere Mafa Dikwa IOM DTM in collaboration with the World Health Organization (WHO) and the state Ministry of Health Maiduguri 13 Chari Kaga Chad Baguirmi have been conducting monitoring of individuals moving into Nigeria's conflict-affected northeastern Konduga Bama Chari-Baguirmi Bauchi states of Adamawa and Borno under pillar four (Points of entry) of COVID 19 preparedness and Borno Pulka Immigration Poe response planning guidelines. Gwoza Nigeria Damboa 29 211 Mayo-Lemié Chibok During the period 1 to 30 June 2020, 766 movements were observed at Forty Five Points of Entries in Biu Madagali Loug-Chari Extreme-Nord Adamawa and Borno states. Of the total movements recorded, 211 were incoming from Extreme-Nord, Askira/Uba Michika Mubi Road Kwaya Kusar Uba 34 from Nord, 6 from Centre in Cameroon and 13 from N’Djamena in Chad republic. A total of 264 Bayo Hawul Gombe 35 Mubi North Mayo-Boneye Incoming movements were observed at Seventeen Points of Entries. Bauchi HongMunduva Bahuli Shani Gombi BurhaKwaja Mayo-Kebbi Est 6 Kolere 4 Cameroon Shelleng Mayo-Binder A range of data was collected during the assessment to better inform on migrants’ nationalities, gender, Guyuk Song Maiha Mont Illi Bauchi Tashan Belel reasons for moving, mode of transportation and timeline of movement as shown in Figures 1 to 4 below: Adamawa 1 Tandjilé Est Lac Léré Lamurde 1 Kabbia Numan Girei Bilaci Tandjile Ouest Demsa Yola South Garin Dadi Mayo-Kebbi Ouest Tandjilé Kwarwa 34 Tandjilé Centre MAIN NATIONALITIES OBSERVED (FIG.
    [Show full text]
  • Working Paper 2017-06
    worki! ownng pap er 2017-06 Universite Laval The impact of oil exploitation on wellbeing in Chad Gadom Djal Gadom Armand Mboutchouang Kountchou Gbetoton Nadège Adèle Djossou Gilles Quentin Kane Abdelkrim Araar February 2017 i The impact of oil exploitation on wellbeing in Chad Abstract This study assesses the impact of oil revenues on wellbeing in Chad using data from the two last Chad Household Consumption and Informal Sector Surveys (ECOSIT 2 & 3), conducted in 2003 and 2011, respectively, by the National Institute of Statistics for Economics and Demographic Studies (INSEED) and, from the College for Control and monitoring of Oil Revenues (CCSRP). To achieve the research objective, we first estimate a synthetic index of multidimensional wellbeing (MDW) based on a large set of welfare indicators. Then, the Difference-in-Difference (DID) approach is used to assess the impact of oil revenues on the average MDW at departmental level. We find evidence that departments receiving intense oil transfers increased their MDW about 35% more than those disadvantaged by the oil revenues redistribution policy. Moreover, the further a department is from the capital city N’Djamena, the lower its average MDW. We conclude that to better promote economic inclusion in Chad, the government should implement a specific policy to better direct the oil revenue investment in the poorest departments. Keys words: Poverty, Multidimensional wellbeing, Oil exploitation, Chad, Redistribution policy. JEL Codes: I32, D63, O13, O15 Authors Gadom Djal Gadom Mboutchouang
    [Show full text]
  • Ethnicisation Du Commerce À N'djamena
    Ethnicisation du commerce à N’Djamena Ezept Valmo Kimitene To cite this version: Ezept Valmo Kimitene. Ethnicisation du commerce à N’Djamena. Géographie. Université Michel de Montaigne - Bordeaux III, 2013. Français. NNT : 2013BOR30063. tel-01614002 HAL Id: tel-01614002 https://tel.archives-ouvertes.fr/tel-01614002 Submitted on 10 Oct 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Université Michel de Montaigne Bordeaux École Doctorale Montaigne Humanités (ED 480) THÈSE DE DOCTORAT EN GEOGRAPHIE HUMAINE ETHNICISATION DU COMMERCE A NDJAMENA Présentée et soutenue publiquement le 23 septembre 2013 par Ezept Valmo KIMITENE Sous la direction de Denis Retaillé Membres du jury : Christian BOUQUET, professeur, université de Bordeaux3. Emmanuel GREGOIRE, chercheur à l’IRD, Paris. Géraud MAGRIN, chercheur au Cirad, Montpellier. Abel KOUVOUAMA, professeur, université de Pau. Denis RETAILLE, professeur, université de Bordeaux3. A la mémoire de ma grand-mère, Sétouma Bangta ! Page | 1 Page | 2 Remerciements Je voudrais du fond de mon cœur adresser mes remerciements à tous et, tout particulièrement à mon directeur, monsieur Denis Retaillé qui m’a fait confiance en acceptant de diriger cette thèse. Tout au long ce parcours, ses conseils m’ont été très précieux.
    [Show full text]
  • Assistance Pour Un Mois
    Impact COVID-19 2ème niveau Population Total population 3ème niveau administratif Population totale en Assistance pour un mois administratif totale en Phase en insécurité Phase 2 3 à 5 grand centre alimentaire Céréales huile (bidon sucre Niébé rural urbains (tonne) de 20 litre) (tonne) (tonne) Batha Batha Est 58 380 18 575 7 805 26 380 11 676 7 805 220 4 397 110 44 Batha Batha Ouest 87 276 61 093 11 668 72 761 17 455 11 668 606 12 127 303 121 Batha Fitri 40 613 9 747 5 430 15 177 8 123 5 430 126 2 529 63 25 Barh El Gazal Bahr El Gazal Nord 29 142 24 589 3 896 28 485 5 828 3 896 237 4 747 119 47 Barh El Gazal Bahr El Gazal Ouest 27 847 19 891 3 723 23 614 5 569 3 723 197 3 936 98 39 Barh El Gazal Bahr El Gazal Sud 74 851 60 297 10 007 70 304 14 970 10 007 586 11 717 293 117 Borkou Borkou Yala 9 275 8 533 1 240 9 773 1 855 1 240 81 1 629 41 16 Borkou Borkou 45 271 28 169 6 052 34 221 9 054 6 052 285 5 703 143 57 Chari-Baguirmi Baguirmi 49 375 0 6 601 6 601 9 875 6 601 55 1 100 28 11 Chari-Baguirmi Chari 24 222 0 3 238 3 238 4 844 3 238 27 540 13 5 Chari-Baguirmi Loug-Chari 32 807 0 4 386 4 386 6 561 4 386 37 731 18 7 Guera Guera 50 749 30 449 6 785 37 234 10 150 6 785 310 6 206 155 62 Guera Abtouyour 64 050 41 879 8 563 50 442 12 810 8 563 420 8 407 210 84 Guera Mangalmé 25 137 13 965 3 361 17 326 5 027 3 361 144 2 888 72 29 Guera Barh Signaka 30 480 15 240 4 075 19 315 6 096 4 075 161 3 219 80 32 Hajer Lamis Dababa 63 866 20 168 8 538 28 706 12 773 8 538 239 4 784 120 48 Hajer Lamis Dagana 60 971 16 629 8 151 24 780 12 194 8 151 206 4
    [Show full text]
  • CAR CMP Population Moveme
    CENTRAL AFRICAN REPUBLIC SITUATION Election-related displacements in CAR Cluster Protec�on République Centrafricaine As of 30 April 2021 Chari Dababa Guéra KEY FIGURES Refugee camp Number of CAR IDPs Mukjar As Salam - SD Logone-et-Chari Abtouyour Aboudéia !? Entry point Baguirmi newly displaced Kimi� Mayo-Sava Tulus Gereida Interna�onal boundaries Number of CAR returns Rehaid Albirdi Mayo-Lemié Abu Jabrah 11,148 15,728 Administra�ve boundaries level 2 Barh-Signaka Bahr-Azoum Diamaré SUDAN Total number of IDPs Total number of Um Dafoug due to electoral crisis IDPs returned during Mayo-Danay during April April Mayo-Kani CHAD Mayo-Boneye Birao Bahr-Köh Mayo-Binder Mont Illi Moyo Al Radoum Lac Léré Kabbia Tandjile Est Lac Iro Tandjile Ouest Total number of IDPs ! Aweil North 175,529 displaced due to crisis Mayo-Dallah Mandoul Oriental Ouanda-Djalle Aweil West La Pendé Lac Wey Dodjé La Nya Raja Belom Ndele Mayo-Rey Barh-Sara Aweil Centre NEWLY DISPLACED PERSONS BY ZONE Gondje ?! Kouh Ouest Monts de Lam 3,727 8,087 Ouadda SOUTH SUDAN Sous- Dosseye 1,914 Kabo Bamingui Prefecture # IDPs CAMEROON ?! ! Markounda ! prefecture ?! Batangafo 5,168!31 Kaga-Bandoro ! 168 Yalinga Ouham Kabo 8,087 Ngaoundaye Nangha ! ! Wau Vina ?! ! Ouham Markounda 1,914 Paoua Boguila 229 Bocaranga Nana Mbres Ouham-Pendé Koui 406 Borgop Koui ?! Bakassa Bria Djema TOuham-Pendéotal Bocaranga 366 !406 !366 Bossangoa Bakala Ippy ! Mbéré Bozoum Bouca Others* Others* 375 ?! 281 Bouar Mala Total 11,148 Ngam Baboua Dekoa Tambura ?! ! Bossemtele 2,154 Bambari Gado 273 Sibut Grimari
    [Show full text]
  • GFD/FFA) Et Nutritionnel (Bfs) Dans La Bande Sahélien – 2014
    Operations d’assistance alimentaire (GFD/FFA) et nutritionnel (BFs) dans la bande sahélien – 2014 Meeting WFP/Partners 04/04/2014 Food Insecure Population (ENSA nov. 2013/CH mars 2014) Food insecure population (as per Food insecure population (as per CH Region ENSA projection - Nov.2013) projection - Mar.2014) Barh El gazel 78,910 88,542 Barh EL Gazel Nord 33,443 Barh El gazel Sud 45,467 Batha 63,981 39,939 Batha Est 24,248 Batha Ouest 20,854 Fitri 18,879 Guera 91,706 114,312 Abtouyour 21,696 Barh Signaka 19,445 Guera 34,276 Mangalme 16,289 Kanem 83,175 116,764 Kanem 37,763 Nord Kanem 24,557 Wadi-Bissam 20,855 Lac 49,052 20,762 Mamdi 19,235 Wayi 29,817 Ouaddaï 76,777 34,686 Abdi 10,242 Assoungha 22,682 Ouara 43,854 Sila 53,318 9,210 Djourouf Al Amar 14,039 Kimiti 39,279 Wadi Fira 130,095 158,459 Biltine 47,709 Dar-Tama 44,866 Kobe 37,521 Grand Total 627,014 582,674 Food Insecure Population &WFP Response Plan Food insecure population (as per Food insecure population (as per CH WFP Targeted Region ENSA projection - Nov.2013) projection - Mar.2014) Beneficiaries (GFD+FFA) GFD BF FFA Barh El gazel 78,910 88,542 83,188 60,000 11,739 4,636HH Barh EL Gazel Nord 33,443 20,000 20,000 11,739 On going Barh El gazel Sud 45,467 63,188 40,000 Batha 63,981 39,939 43,750 35,000 13,715 8,750 Batha Est 24,248 25,000 20,000 8,488 5,000 Batha Ouest 20,854 Fitri 18,879 18,750 15,000 5,227 3,750 Guera 91,706 114,312 60,750 52,000 8,082 8,750 Abtouyour 21,696 Barh Signaka 19,445 Guera 34,276 35,000 22,000 8,082 5,000 Mangalme 16,289 25,750 30,000 3,750 Kanem
    [Show full text]
  • Tchad: Situations De Conflits, Inondations Et Ennemis Des Cultures Mise À Jour Du 9 Octobre 2017
    Tchad: situations de conflits, inondations et ennemis des cultures Mise à jour du 9 octobre 2017 Légendes Tibesti Ouest TIBESTI Inondations Tibesti Est Conflits éleveurs Oiseaux granivores Chenilles légionnaires Fada ENNEDI OUEST Am-Djarass Borkou Yala ENNEDI EST 7 oct. à Koundjourou BORKOU (Dpt de Batha Ouest) Destruction des Borkou cultures par les Mourtcha oiseaux granivores à 14.000 ha envahies, Wadi Hawar 6.241,8 t détruites et Nord Kanem Kobé 4.964 ménages KANEM WADI FIRA Mégri touchés Biltine Barh-El-Gazel Nord 7 oct. Dar-Tama Batha Ouest à Ouaddi Faman Kanem BARH-EL-GAZEL Fouli (18.108 habitants) BATHA Batha Est Barh-El-Gazel Sud Ouara Assoungha dans la sous- Kaya LAC Wadi Bissam OUADDAÏ Wayi Barh-El-Gazel Ouest préfecture d’Arada Mamdi (Dpt de Biltine). Dagana Abdi Fitri Conflits ente HADJER-LAMIS Mangalmé Haraze-Al-Biar éleveurs 4 oct. N’Djamena Dababa Djourf Al Ahmar N'Djaména Guéra SILA 3 morts. Invasion de champ Abtouyour dans la banlieue de N'DJAMENA Kimiti Chari Baguirmi et du champ de GUÉRA Aboudéia maïs de l’ITRAD par CHARI-BAGUIRMI Inondations: Bahr-Azoum les chenilles Mayo-Lemié Barh-Signaka Salamat: Barh Azoum: env. 388,5 ha SALAMAT légionnaires détruites Loug-Chari Mayo-Boneye Mandoul: Mandoul Oriental: 42 villages, MAYO-KEBBI EST 1.445 personnes touchées, 1.453 ha. Pas Mayo-Binder Mont Illi Haraze-Mangueigne de données sur le Mandoul Oriental et Lac Léré Lac Iro Kabbia Tandjilé Est Bahr-Köh Barh Sara affectés aussi MAYO-KEBBI OUEST Tandjile OuestTANDJILÉ MOYEN-CHARI Tandjilé Centre Logone Oriental: Dpt de Nya Pende: Mayo-Dallah Mandoul Oriental Guéni Ngourkosso La Pendé 465 ha détruites – pas de ménages Lac Wey Dodjé MANDOUL touchés estimés La NyaMandoul Occidental LOGONE OCCIDENTAL Grande Sido Kouh Est Nya, Kouh-Est, Pende: pas de données LOGONE ORIENTAL Barh-Sara Kouh Ouest sur les personnes et superficies Monts de Lam La Nya Pendé Affectées Moyen Chari: Grande Sido: env.
    [Show full text]
  • Rapid Livelihood Zone Profiles for Chad
    RAPID LIVELIHOOD ZONE PROFILES A SPECIAL REPORT BY THE FAMINE EARLY WARNING SYSTEMS NETWORK (FEWS NET) August 2011 Contents Acknowledgments ......................................................................................................................................... 2 Introduction .................................................................................................................................................. 3 The Uses of the Profiles ............................................................................................................................ 4 Key Concepts ............................................................................................................................................. 5 What is in a Livelihood Profile .................................................................................................................. 7 Methodology ............................................................................................................................................. 8 Rapid Livelihood Zone Profiles for Chad ....................................................................................................... 9 National Overview .................................................................................................................................... 9 Zone 1: South cereals and cash crops ..................................................................................................... 13 Zone 2: Southwest Rice Dominant .........................................................................................................
    [Show full text]
  • IOM Nigeria DTM COVID-19 Point of Entry Dashboard
    COVID-19 Point of Entry Dashboard 44: DTM North East Nigeria Nigeria 13 - 19 MARCH 2021 Fouli Kanem Fouli Fouli Kanem KEY FIGURES Fouli KayaKaya Kaya KanemKanem WadiKanem Bissam Wadi Bissam Lac Lac Wayi 3 Wayi 388 Mamdi Mamdi Points of Entry Total movements (incoming and outgoing) observed Mamdi OVERVIEW During the COVID-19 pandemic, IOM’s Displacement Tracking Matrix (DTM) in Dagana Yobe DaganaDagana collaboration with the World Health Organization (WHO) monitors the Yobe Hadjer-Lamis movement to and from Nigeria's Adamawa and Borno States, located in the Hadjer-Lamis North East Zone. Assessments are conducted at Points of Entry located along Haraze-Al-BiarHaraze-Al-Biar Haraze-Al-Biar the border with Cameroon. Ghana Ghana Ngala Ngala RannRann NgalaNgala Rann Ngala N'Djamena 96 N'Djamena During the period 13 - 19 March 2021, 388 movements were observed at three 96 N'DjaménaN'Djaména 9 KalaKala balgebalge N'Djaména Borno Kala balge Borno Kala/BalgeKala/Balge Points of Entry in Borno State. Of the total movements recorded, 227 were Kala/Balge4848 JereJere 25 incoming from the Far North Region in Cameroon. Additionally, 161 outgoing Jere movements were recorded from Borno State to the Far North Region in Maiduguri ChariChari Cameroon. Chari Chari-Baguirmi BamaBama Chari-Baguirmi Bama BaguirmiBaguirmi Yobe Baguirmi Yobe 83Bama83Bama A range of data is collected during the assessment to better inform on Nigeria 15Bama travellers’ nationalities, sex, reasons for moving, mode of transportation and BankiBanki timeline of movement as shown in figures 1 to 4 below: ChadChad GwozaGwoza Gwoza NATIONALITIES OF TRAVELLERS (FIG. 1) SEX (FIG.
    [Show full text]