DOCSLIB.ORG

25 24 278 231 82% 82% 55 93% 0

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
25 24 278 231 82% 82% 55 93% 0 30/09/2019 EWARS - Report Viewer Borno State Nigeria Emergency Response Integrated Disease Surveillance and Response (IDSR) W38 2019 (Sep 16-Sep 22) Table of Contents A. Key indicators B. Indicator-based surveillance C. System performance A. Key indicators Surveillance | Performance Indicators 25 24 278 231 82% 82% Number of Number of LGAs Number of health Number of health Completeness Timeliness LGAs* that reported facilities facilities that at health facility at health facility reported level. 88% at LGA level. 88% at LGA level. level. Alert | W38 Alert | Risk Assessment 55 93% 0 W38 Cumulative Total alerts % alerts verified # alerts requiring 0 18 Low risk raised** response 0 18 Moderate risk * The reporting of health facility level IDSR data is currently being rolled out across Borno State. Whilst this is taking place, some LGAs are continuing to report only at the level of local government area (LGA). Therefore, completenss and timeliness of reporting is displayed at both levels in this bulletin. 0 21 High risk ** Alerts are based on 7 weekly reportable diseases in the national IDSR reporting format (IDSR 002) and 8 additional diseases/health events of public health importance 0 1 Very high risk in the IDP camps and IDP hosting areas. Figure 1 | Trend in consultations 75000 50000 Number 25000 0 W35 2019 W18 2019 W35 2016 W01 2018 W01 2019 W52 2016 W35 2017 W18 2017 W18 2018 W35 2018 New visits Repeat visits ewars.ws/document/YToxMTt0OjRhZTZiNjFmLTBlMWUtNDg1MS1iY2JlLTdkZDI0NTlmMjg0NztkOjIwMTktMDktMjI7bDpkZjYyMjEzNC1jY2Y5LTR… 1/6 30/09/2019 EWARS - Report Viewer B. Indicator-based surveillance Summary Figure 1a | Proportional morbidity (W38) Figure 1b | Proportional mortality (W38) Malaria (confirmed) Severe Acute Malnutrition Malaria (confirmed) Severe Acute Malnutrition Malaria (suspected) Mental Health Malaria (suspected) Maternal death Acute Respiratory Infection Measles Acute Respiratory Infection Neonatal death Acute Watery Diarrhoea Other Acute Watery Diarrhoea Other Bloody diarrhoea Bloody diarrhoea Statistical tables Show Table 1a | Weekly and cumulative number of reported cases Table 1b | Weekly and cumulative number of reported deaths Syndrome W38 Cumulative Syndrome W38 Cumulative 2019 2019 # cases % morb.1 # cases % morb.1 # deaths % mort.2 # deaths % mort.2 Malaria (confirmed) 9,724 19.3% 217,389 12.3% Malaria (confirmed) 4 23.5% 46 8.6% Malaria (suspected) 12,441 24.7% 384,657 21.8% Malaria (suspected) 1 5.9% 29 5.4% Acute Respiratory 7,448 14.8% 313,476 17.8% Acute Respiratory 0 0.0% 6 1.1% Infection Infection Acute Watery Diarrhoea 638 1.3% 36,108 2.0% Acute Watery Diarrhoea 0 0.0% 2 0.4% Bloody diarrhoea 142 0.3% 7,157 0.4% Bloody diarrhoea 0 0.0% 2 0.0% Severe Acute Malnutrition 1,452 2.9% 65,693 3.7% Severe Acute Malnutrition 0 0.0% 54 10.1% Mental Health 49 0.1% 2,821 0.2% Maternal death 0 0.0% 23 4.3% Other 18,342 36.5% 717,030 40.6% Neonatal death 6 35.3% 68 12.7% Total cases 50,269 100% 1,764,774 100% Other 6 35.3% 306 57.1% 1 Proportional morbidity Total deaths 17 100% 536 100% 2 Proportional mortality Table 1c | Immediately notifiable diseases (IDSR 002) Disease W38 Cumulative 2019 # cases # deaths # cases # deaths AFP1/Polio 4 0 165 2 Measles (suspected) 33 0 20,443 91 Meningitis (suspected) 2 0 39 6 Cholera (suspected) 0 0 177 1 Viral Haemorrhagic Fever 0 0 3 0 (suspected) Yellow Fever (suspected) 3 0 153 3 Guinea worm (suspected) 0 0 0 0 Human Influenza 0 0 0 0 (suspected)2 1 Acute Flaccid Paralysis 2 caused by a new subtype ewars.ws/document/YToxMTt0OjRhZTZiNjFmLTBlMWUtNDg1MS1iY2JlLTdkZDI0NTlmMjg0NztkOjIwMTktMDktMjI7bDpkZjYyMjEzNC1jY2Y5LTR… 2/6 30/09/2019 EWARS - Report Viewer Malaria Hide Figure 2a | Age breakdown Figure 2b | Trend in number of cases over time (Borno State) 40000 30000 20000 Number 10000 Under 5 Over 5 0 Total case fatality due to malaria in W38 was 0.0% . W26 2018 W01 2019 W26 2017 W01 2018 W52 2016 W27 2019 Figure 2c | Number of cases by LGA 3000 2000 Number 1000 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar Measles (suspected) Hide Figure 3a | Age breakdown Figure 3b | Trend in number of cases over time (Borno State) 1500 1250 1000 750 Number 500 250 Under 5 Over 5 0 Total case fatality due to measles in W38 was 0.0% . W52 2016 W01 2018 W26 2017 W01 2019 W26 2018 W27 2019 Figure 3c | Number of cases by LGA 8 6 4 Number 2 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar ewars.ws/document/YToxMTt0OjRhZTZiNjFmLTBlMWUtNDg1MS1iY2JlLTdkZDI0NTlmMjg0NztkOjIwMTktMDktMjI7bDpkZjYyMjEzNC1jY2Y5LTR… 3/6 30/09/2019 EWARS - Report Viewer Acute Respiratory Infection Hide Figure 4a | Age breakdown Figure 4b | Trend in number of cases over time (Borno State) 15000 12500 10000 7500 Number 5000 2500 Under 5 Over 5 0 Total case fatality due to acute respiratory infection in W38 was 0.0% . W26 2018 W27 2019 W26 2017 W01 2019 W01 2018 W52 2016 Figure 4c | Number of cases by LGA 1500 1000 Number 500 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar Acute Watery Diarrhoea Hide Figure 5a | Age breakdown Figure 5b | Trend in number of cases over time (Borno State) 5000 4000 3000 Number 2000 1000 Under 5 Over 5 0 Total case fatality due to Acute Watery Diarrhoea in W38 was 0.0% . W52 2016 W01 2018 W26 2017 W01 2019 W26 2018 W27 2019 Figure 5c | Number of cases by LGA 200 150 100 Number 50 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar ewars.ws/document/YToxMTt0OjRhZTZiNjFmLTBlMWUtNDg1MS1iY2JlLTdkZDI0NTlmMjg0NztkOjIwMTktMDktMjI7bDpkZjYyMjEzNC1jY2Y5LTR… 4/6 30/09/2019 EWARS - Report Viewer Bloody diarrhoea Hide Figure 6a | Age breakdown Figure 6b | Trend in number of cases over time (Borno State) 400 300 200 Number 100 Under 5 Over 5 0 Total case fatality due to bloody diarrhoea in W38 was 0.0% . W27 2019 W01 2018 W01 2019 W26 2017 W26 2018 W52 2016 Figure 6c | Number of cases by LGA 30 20 Number 10 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar Severe Acute Malnutrition Hide Figure 7a | Age breakdown Figure 7b | Trend in number of cases over time (Borno State) 5000 4000 3000 Number 2000 1000 Under 5 Over 5 0 Total case fatality due to SAM in W38 was 0.0% . W52 2016 W01 2018 W26 2017 W01 2019 W26 2018 W27 2019 Figure 7c | Number of cases by LGA 300 200 Number 100 0 Biu Jere Mafa Bayo Bama Kaga Gubio Ngala Shani Gwoza Dikwa Chibok Hawul Damboa Mobbar Kukawa Nganzai Monguno Konduga Maiduguri Askira Uba Magumeri Guzamala Kala/Balge Kwaya Kusar ewars.ws/document/YToxMTt0OjRhZTZiNjFmLTBlMWUtNDg1MS1iY2JlLTdkZDI0NTlmMjg0NztkOjIwMTktMDktMjI7bDpkZjYyMjEzNC1jY2Y5LTR… 5/6 30/09/2019 EWARS - Report Viewer C. System performance Statistical tables Show Table 9a | Surveillance performance indicators by LGA (W38) Table 9b | Alert performance indicators by LGA Location Reporting Performance Syndrome W38 Cumulative 2019 # sites # reports Comp.3 Time.4 received # alerts % verif. # alerts % verif. Askira Uba 29 26 90% 90% Askira Uba 4 100% 140 78% Bama 4 2 50% 50% Bama 2 50% 130 94% Bayo 11 11 100% 100% Bayo 3 100% 97 90% Biu 24 20 83% 83% Biu 4 100% 150 79% Chibok 11 5 45% 45% Chibok 2 100% 75 91% Damboa 13 12 92% 92% Damboa 5 60% 152 68% Dikwa 6 4 67% 67% Dikwa 0 0% 44 70% Gubio 5 4 80% 80% Gubio 1 0% 63 32% Guzamala 0 1 0% 100% Guzamala 0 0% 0 0% Gwoza 7 4 57% 57% Gwoza 1 100% 81 60% Hawul 14 12 86% 86% Hawul 1 100% 58 90% Jere 30 20 67% 67% Jere 6 100% 534 88% Kaga 5 5 100% 100% Kaga 3 100% 33 100% Kala/Balge 1 2 100% 100% Kala/Balge 0 0% 1 100% Konduga 16 15 94% 94% Konduga 4 100% 360 95% Kukawa 0 0 0% 100% Kukawa 0 0% 1 100% Kwaya Kusar 11 9 82% 82% Kwaya Kusar 0 0% 39 85% Mafa 6 5 83% 83% Mafa 4 100% 57 93% Magumeri 10 7 70% 70% Magumeri 1 100% 167 81% Maiduguri 19 14 74% 74% Maiduguri 2 100% 487 94% Mobbar 2 2 100% 100% Mobbar 1 100% 50 86% Monguno 18 17 94% 94% Monguno 5 100% 170 69% Ngala 6 4 67% 67% Ngala 4 100% 154 81% Nganzai 4 4 100% 100% Nganzai 0 0% 76 95% Shani 26 26 100% 100% Shani 2 100% 102 83% Borno State 278 231 82% 82% Borno State 55 93% 3,221 85% 3 Completeness of reporting (at health facility level) 4 Timeliness of reporting (at health facility level) Samuel B Thliza Dr Uzoma Ugochukwu State Epidemiologist Health Information Management Unit Contact Information Ministry of Health WHO Health Emergencies Programme Office Maiduguri, Nigeria Maiduguri, Nigeria Email: [email protected] Email: [email protected] Telephone: 0708 093 0851 Telephone: 0703 729 5937 Nigeria EWARS has been deployed since September 2016 in response to the humanitarian crisis in North-Eastern Nigeria. It is supporting Learn more about EWARS MoH and partners to strengthen mortality and disease http://ewars-project.org surveillance.
Load more

Recommended publications
  • Nigeria's Constitution of 1999
    PDF generated: 26 Aug 2021, 16:42 constituteproject.org Nigeria's Constitution of 1999 This complete constitution has been generated from excerpts of texts from the repository of the Comparative Constitutions Project, and distributed on constituteproject.org. constituteproject.org PDF generated: 26 Aug 2021, 16:42 Table of contents Preamble . 5 Chapter I: General Provisions . 5 Part I: Federal Republic of Nigeria . 5 Part II: Powers of the Federal Republic of Nigeria . 6 Chapter II: Fundamental Objectives and Directive Principles of State Policy . 13 Chapter III: Citizenship . 17 Chapter IV: Fundamental Rights . 20 Chapter V: The Legislature . 28 Part I: National Assembly . 28 A. Composition and Staff of National Assembly . 28 B. Procedure for Summoning and Dissolution of National Assembly . 29 C. Qualifications for Membership of National Assembly and Right of Attendance . 32 D. Elections to National Assembly . 35 E. Powers and Control over Public Funds . 36 Part II: House of Assembly of a State . 40 A. Composition and Staff of House of Assembly . 40 B. Procedure for Summoning and Dissolution of House of Assembly . 41 C. Qualification for Membership of House of Assembly and Right of Attendance . 43 D. Elections to a House of Assembly . 45 E. Powers and Control over Public Funds . 47 Chapter VI: The Executive . 50 Part I: Federal Executive . 50 A. The President of the Federation . 50 B. Establishment of Certain Federal Executive Bodies . 58 C. Public Revenue . 61 D. The Public Service of the Federation . 63 Part II: State Executive . 65 A. Governor of a State . 65 B. Establishment of Certain State Executive Bodies .
    [Show full text]
  • ETT Report-No.32.V2
    DISPLACEMENT TRACKING MATRIX - Nigeria DTM Nigeria EMERGENCY TRACKING TOOL ETT Report: No. 32 | 12–18 September 2017 IOM OIM DTM Emergency Tracking Tool (ETT) is deployed to track and provide up-to-date information on sudden displacement and other population movements New IDP arrivals recorded during the period DTM and ETT Cumulative Number of IDPs by LGA Abadam Abadam Yusufari Lake Chad Kukawa Yusufari Yunusari Mobbar Lake Chad± Nguru Karasuwa Niger Machina Yunusari Mobbar Abadam Kukawa Lake Chad Bade Guzamala 79 Nguru Karasuwa Kukawa Bursari 14,105 Geidam Gubio Bade Bade Guzamala Monguno Mobbar Nganzai Jakusko Bursari 6240 Marte Geidam Gubio Bade Guzamala Ngala Tarmua Monguno Magumeri Nganzai Jakusko Yobe 122,844 Marte 43 Gubio Monguno Jere Dikwa 7 Mafa Kala/BalgeYobe Ngala Maiduguri M.C. 122 Tarmua Nganzai Nangere Fune Damaturu Jigawa Magumeri 42,686 Borno 18 Yobe Marte Potiskum Ngala Kaga Konduga Bama Jere Mafa Kala/Balge Magumeri Dikwa 17 30 73 Yobe 49,480 Fika Gujba Nangere Fune Damaturu Maiduguri Mafa 74,858 Jere Dikwa Gwoza Potiskum Kaga Borno308,807 Kala-Balge MaiduBornoguri Damboa 799 19,619 KondugaKonduga Bama Gulani Cameroon Kag1a05,678 56,748 Chibok Konduga Fika Gujba Bama Biu 11 Madagali Askira/Uba Gwoza Michika Damboa Cameroon Kwaya Kusar 73,966Gwoza Hawul Damboa Bauchi Gombe Bayo Mubi North 76,795 Hong Gulani Shani Chibok Gombi Mubi South Madagali Biu Biu 16,378Chibok Maiha Askira/Uba Askira-Uba Inaccessible area Guyuk Song Michika Shelleng IDP severity Kwaya KusarKwaya Kusar Hawul Adamawa Hawul Less t han 10,788 Bauchi Gombe Bayo Mubi North Lamurde Number of new Bayo 10,788 - 25,813 HongAdamawa Numan Girei arrivals Shani Cameroon 25,813 - 56,749 Demsa Inaccessible area Shani Gombi Mubi South Yola South 56,749 - 122,770 Yola North Gombe 0 15 30 60 Km 122,770 Above Fufore LGAChad Adamawa Plateau Mayo-Belwa Shelleng Maiha Guyuk Song STATE: Borno 73 individuals (INDs) arrived at Bama and 129 INDs le� Bama LGA: Kaga 17 INDs arrived at NYSC Camp from Musari in Konduga LGA.
    [Show full text]
  • Nigeria Update to the IMB Nigeria
    Progress in Polio Eradication Initiative in Nigeria: Challenges and Mitigation Strategies 16th Independent Monitoring Board Meeting 1 November 2017 London 0 Outline 1. Epidemiology 2. Challenges and Mitigation strategies SIAs Surveillance Routine Immunization 3. Summary and way forward 1 Epidemiology 2 Polio Viruses in Nigeria, 2015-2017 Past 24 months Past 12 months 3 Nigeria has gone 13 months without Wild Polio Virus and 11 months without cVDPV2 13 months without WPV 11 months – cVDPV2 4 Challenges and Mitigation strategies 5 SIAs 6 Before the onset of the Wild Polio Virus Outbreak in July 2016, there were several unreached settlements in Borno Borno Accessibility Status by Ward, March 2016 # of Wards in % Partially LGAs % Fully Accessible % Inaccessible LGA Accessible Abadam 10 0% 0% 100% Askira-Uba 13 100% 0% 0% Bama 14 14% 0% 86% Bayo 10 100% 0% 0% Biu 11 91% 9% 0% Chibok 11 100% 0% 0% Damboa 10 20% 0% 80% Dikwa 10 10% 0% 90% Gubio 10 50% 10% 40% Guzamala 10 0% 0% 100% Gwoza 13 8% 8% 85% Hawul 12 83% 17% 0% Jere 12 50% 50% 0% Kaga 15 0% 7% 93% Kala-Balge 10 0% 0% 100% Konduga 11 0% 64% 36% Kukawa 10 20% 0% 80% Kwaya Kusar 10 100% 0% 0% Mafa 12 8% 0% 92% Magumeri 13 100% 0% 0% Maiduguri 15 100% 0% 0% Marte 13 0% 0% 100% Mobbar 10 0% 0% 100% Monguno 12 8% 0% 92% Ngala 11 0% 0% 100% Nganzai 12 17% 0% 83% Shani 11 100% 0% 0% State 311 41% 6% 53% 7 Source: Borno EOC Data team analysis Four Strategies were deployed to expand polio vaccination reach and increase population immunity in Borno state SIAs RES2 RIC4 Special interventions 12
    [Show full text]
  • Health Sector Bulletin March 2020
    Health Sector Bulletin March 2020 Northeast Nigeria Humanitarian Response COVID-19 Response 5.6 Million 4.4 Million 1.9 Million * x.x million people People in need targeted by the IDPs in the reached in 2020*** of health care Health Sector three States HIGHLIGHTS Health Sector • For countries already facing a humanitarian crisis, the COVID-19 45 HEALTH SECTOR PARTNERS outbreak will likely be much more difficult to control and (HRP & NON-HRP) potentially further exacerbate tensions. This includes countries currently affected by conflict, the desert locust outbreak, drought, HEALTH FACILITIES IN BAY STATE** economic or political crises. An additional layer of COVID-19 1372 (58%) FULLY FUNCTIONING impacts will add to the challenges that those areas are already 233 (9.8%) NON-FUNCTIONING facing and is likely to further increase the number of vulnerable 388 (16.4%) PARTIALLY FUNCTIONING people. Due to access constraints and the limitations of the health 374 (15.8%) FULLY DAMAGED sector capacity, it could have the potential to spread more rapidly CUMULATIVE CONSULTATIONS in hotspots and fragile settings and have more severe impacts that 4.9 million CONSULTATIONS**** will be difficult to diagnose and contain. 1580 REFERRALS • While there are no reports of confirmed cases in the northeast region yet, efforts to contain the virus have commenced with all 360,898 CONSULTATIONS THROUGH HARD TO REACH three states issuing directives restricting movement in and out of TEAMS their respective states. Unless the virus is completely eradicated EPIDEMIOLOGICAL WEEK 2019 within this time period – which is highly unlikely – the threat of a EARLY WARNING & ALERT RESPONSE spread persists and can be higher for populations in the BAY states.
    [Show full text]
  • NGA-Kwaya Kusar to Translate EN
    Situation Report on Kwaya Kusar Local Government Area of Borno State, 2015-2016 By Dr. Marc-Antoine Pérouse de Montclos Senior Researcher, Institut de recherche pour le développement, Paris Due to the fighting between Boko Haram and the security forces, Kwaya Kusar is the only local government area in Nigeria that researchers of the "Invisible Violence" project were not able to visit. Failing any better option, the following report is consequently based on interviews undertaken in Maiduguri in October 2015 and May 2016, with residents originating from Kwaya Kusar, in the South West of Borno State, comprising two civil servants from the ministry for public works, an officer from the immigration department and a school teacher born in the neighbouring local government area of Hawul. Their testimonies show that, despite a bank attack which was without victims in 2012, the local area was "miraculously" spared by the violence which struck the rest of the region.1 In late 2015, the local government area was one of the only ones in Borno State which continued to operate, with Maiduguri, Bayo, Biu and, according to contested official statements, Hawul, Chibok, Gubio, Jere and Kaga. In the neighbouring local government area of Shani, which included Kwaya Kusar until its partition in 1996, civil servants had not returned since the Emir fled after escaping an ambush in 2014. In the suburbs of Maiduguri, even the administrative centre of the local government area of Jere had not reopened. The South East of Borno was still prey to chaos despite the reassuring statements made by the army about the situation in Bama, Gwoza and Chibok.
    [Show full text]
  • States and Lcdas Codes.Cdr
    PFA CODES 28 UKANEFUN KPK AK 6 CHIBOK CBK BO 8 ETSAKO-EAST AGD ED 20 ONUIMO KWE IM 32 RIMIN-GADO RMG KN KWARA 9 IJEBU-NORTH JGB OG 30 OYO-EAST YYY OY YOBE 1 Stanbic IBTC Pension Managers Limited 0021 29 URU OFFONG ORUKO UFG AK 7 DAMBOA DAM BO 9 ETSAKO-WEST AUC ED 21 ORLU RLU IM 33 ROGO RGG KN S/N LGA NAME LGA STATE 10 IJEBU-NORTH-EAST JNE OG 31 SAKI-EAST GMD OY S/N LGA NAME LGA STATE 2 Premium Pension Limited 0022 30 URUAN DUU AK 8 DIKWA DKW BO 10 IGUEBEN GUE ED 22 ORSU AWT IM 34 SHANONO SNN KN CODE CODE 11 IJEBU-ODE JBD OG 32 SAKI-WEST SHK OY CODE CODE 3 Leadway Pensure PFA Limited 0023 31 UYO UYY AK 9 GUBIO GUB BO 11 IKPOBA-OKHA DGE ED 23 ORU-EAST MMA IM 35 SUMAILA SML KN 1 ASA AFN KW 12 IKENNE KNN OG 33 SURULERE RSD OY 1 BADE GSH YB 4 Sigma Pensions Limited 0024 10 GUZAMALA GZM BO 12 OREDO BEN ED 24 ORU-WEST NGB IM 36 TAKAI TAK KN 2 BARUTEN KSB KW 13 IMEKO-AFON MEK OG 2 BOSARI DPH YB 5 Pensions Alliance Limited 0025 ANAMBRA 11 GWOZA GZA BO 13 ORHIONMWON ABD ED 25 OWERRI-MUNICIPAL WER IM 37 TARAUNI TRN KN 3 EDU LAF KW 14 IPOKIA PKA OG PLATEAU 3 DAMATURU DTR YB 6 ARM Pension Managers Limited 0026 S/N LGA NAME LGA STATE 12 HAWUL HWL BO 14 OVIA-NORTH-EAST AKA ED 26 26 OWERRI-NORTH RRT IM 38 TOFA TEA KN 4 EKITI ARP KW 15 OBAFEMI OWODE WDE OG S/N LGA NAME LGA STATE 4 FIKA FKA YB 7 Trustfund Pensions Plc 0028 CODE CODE 13 JERE JRE BO 15 OVIA-SOUTH-WEST GBZ ED 27 27 OWERRI-WEST UMG IM 39 TSANYAWA TYW KN 5 IFELODUN SHA KW 16 ODEDAH DED OG CODE CODE 5 FUNE FUN YB 8 First Guarantee Pension Limited 0029 1 AGUATA AGU AN 14 KAGA KGG BO 16 OWAN-EAST
    [Show full text]
  • Resilience Analysis in Borno State, Nigeria
    AnalysIng Resilience for better targeting and action and targeting better Resiliencefor AnalysIng RESILIENCE ANALYSIS ANALYSIS RESILIENCE IN BORNO STATE BORNO IN FAO resilience RESILIENCE INDEX MEASUREMENT AND ANALYSIS II y RIMA II analysis report No. 16 AnalysIng Resilience for better targeting and action FAO resilience analysis report No. 16 RESILIENCE ANALYSIS IN BORNO STATE I g e r i Na Food and Agriculture Organization of the United Nations Rome, 2019 Required citation: FAO. 2019. Resilience analysis in Borno State, Nigeria. Rome. 44 pp. Licence: CC BY-NC-SA 3.0 IGO. The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. © FAO, 2019 Some rights reserved. This work is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo/legalcode/legalcode). Under the terms of this licence, this work may be copied, redistributed and adapted for non-commercial purposes, provided that the work is appropriately cited.
    [Show full text]
  • IOM Nigeria DTM Emergency Tracking Tool (ETT)
    DTM DISPLACEMENT TRACKING MATRIX - Nigeria Nigeria EMERGENCY TRACKING TOOL (ETT) The DTM Emergency Tracking Tool (ETT) is deployed to track and to collect informa�on on large and sudden popula�on movements, provide frequent updates on the scale of displacement and quan�fy the affected popula�on when needed. As a s ubcomponent of the Mobility Tracking methodology in Nigeria, ETT u�lises direct observa�on and a broad network of key informants to capture best es�mates of the affected popula�on per loca�on, enabling targeted humanitarian response planning. Chad ETT Report: No. 214 | 08 - 14 March 2021 Lake Chad MOVEMENTS NEW ARRIVAL SCREENING BY NUTRITION PARTNERS Niger Arrivals: 2,045 individuals 221 Mobbar Abadam 101Mobbar Kukawa Departures: Guzamala Dikwa 669 individuals 214 6 1 In the states Borno and Adamawa, a total of 2,714 movements were recorded, comprising 110 Askira/Uba Gubio 2,045 arrivals and 669 departures, between 08 and 14 March 2021. Arrivals were Nganzai Monguno recorded at locations in Askira/Uba, Bama, Biu, Damboa, Gwoza, Hawul, Mobbar and 404 5 Marte Ngala Monguno Local Government Areas (LGAs) of the most conflict-affected state of Borno. Magumeri Kala/Balge Arrivals were also recorded in Demsa, Fufore, Girei, Gombi, Hong, Lamurde, Maiha, Mafa Jere 26 Michika, Mubi North, Mubi South, Numan, Song, Yola North and Yola South LGAs of Dikwa Cameroon Maiduguri 1 Kaga Borno Adamawa. Konduga Bama Bama Departures were recorded in Askira/Uba, Bama, Damboa, Gwoza, Kala/Balge and 69 160 Gombi Gwoza 8 Madagali LGAs of Borno; Demsa, Fufore, Girei, Gombi, Lamurde, Madagali, Maiha, Damboa 111 5 14 Michika, Mubi North, Numan, Song and Yola North LGAs of Adamawa.
    [Show full text]
  • Independent National Electoral Commission (INEC)
    FEDERAL REPUBLIC OF NIGERIA Independent National Electoral Commission (INEC) BORNO STATE DIRECTORY OF POLLING UNITS Revised January 2015 DISCLAIMER The contents of this Directory should not be referred to as a legal or administrative document for the purpose of administrative boundary or political claims. Any error of omission or inclusion found should be brought to the attention of the Independent National Electoral Commission. INEC Nigeria Directory of Polling Units Revised January 2015 Page i Table of Contents Pages Disclaimer.............................................................................. i Table of Contents ……………………………………………… ii Foreword................................................................................ iv Acknowledgement.................................................................. v Summary of Polling Units....................................................... 1 LOCAL GOVERNMENT AREAS Abadam …………………………………………………... 2-5 Askira/Uba …………………………………………..…… 6-15 Bama …………………………………………..…………. 16-28 Bayo …………………………………………..………….. 29-32 Biu …………………………………………..……………. 33-42 Chibok ……………………………………………………. 43-47 Damboa ………………………………………………….. 48-53 Dikwa …………………………………………………….. 54-58 Gubio ……………………………………………………... 59-64 Guzamala ………………………………………………… 65-69 Gwoza ……………………………………………………. 70-81 Hawul …………………………………………………..… 82-88 Jere ……………………………………………………….. 89-98 Kaga ……………………………………………………… 99-104 Kala/Balge ………………………………………..……… 105-109 Konduga ………………………………………..………… 110-118 Kukawa ………………………………………..……….… 119-123 Kwaya/Kusar …………………………………………..…
    [Show full text]
  • Nigeria Livelihood Zone Map and Descriptions 2018
    REVISED LIVELIHOODS ZONE MAP AND DESCRIPTIONS FOR NIGERIA A REPORT OF THE FAMINE EARLY WARNING SYSTEMS NETWORK (FEWS NET) September 2018 NIGERIA Livelihood Zone Map and Descriptions September 2018 Acknowledgements and Disclaimer This report reflects the results of the Livelihood Zoning Plus exercise conducted in Nigeria in July to August 2018 by FEWS NET and partners: the Federal Ministry of Agriculture and Rural Development (FMA&RD) and the National Bureau of Statistics (NBS), the United Nations World Food Program, the United Nations Food and Agriculture Organization, and various foundation and non-government organizations working to improve the lives and livelihoods of the people of Nigeria. The Livelihood Zoning Plus workshops whose results are the subject of this report were led by Julius Holt, consultant to FEWS NET, Brian Svesve, FEWS NET Regional Food Security Specialist – Livelihoods and Stephen Browne, FEWS NET Livelihoods Advisor, with technical support from Dr. Erin Fletcher, consultant to FEWS NET. The workshops were hosted and guided by Isa Mainu, FEWS NET National Technical Manager for Nigeria, and Atiku Mohammed Yola, FEWS NET Food Security and Nutrition Specialist. This report was produced by Julius Holt from the Food Economy Group and consultant to FEWS NET, with the support of Nora Lecumberri, FEWS NET Livelihoods Analyst, and Emma Willenborg, FEWS NET Livelihoods Research Assistant. This report will form part of the knowledge base for FEWS NET’s food security monitoring activities in Nigeria. The publication was prepared under the United States Agency for International Development Famine Early Warning Systems Network (FEWS NET) Indefinite Quantity Contract, AID-OAA-I-12-00006, Task Order 1 (AID-OAA-TO-12- 00003), TO4 (AID-OAA-TO-16-00015).
    [Show full text]
  • Nigeria: Borno - Ongoing Humanitarian Activities Overview (As of 31 March 2017)
    Nigeria: Borno - Ongoing Humanitarian Activities Overview (as of 31 March 2017) Number of Local Number of Government Area Partners PARTNERS PER TYPE OF ORGANIZATIONS International National NGOs UN Agencies Government Red Cross 25 54 NGOs Movement LGAs with ongoing partners including UN activities Agencies, Government, NGOs and Red Cross 24 17 6 5 1 Moverment MOBBAR (4 Partners) GUBIO (3 Partners) KUKAWA (1 Partner) MAGUMERI (6 Partners) MSF - Swiss, WHO SUBEB, UNICEF WHO SUBEB, UNICEF NRCS, POH WHO AAH/ACF, WFP MONGUNO (14 Partners) GUZAMALA (1 Partner) WHO MAFA (8 Partners) IOM WHO AAH/ACF, WFP JERE (31 Partners) SUBEB, UNICEF Malumfatori AAH/ACF, ALIMA, CCHD, IOM, IOM DRC, WFP IRC, MSF - France, NRC, POH, UNICEF, WHO CCHD, SWoWASD, UNFPA CAI, ECR ABADAM IMC, UNICEF, WHO AAH/ACF, CA UK, CRS, DRC, EYN, WiNN POH MSF - France, NRC, SCI, WFP, YFWP KUKAWA DAMBOA (11 Partners) OXFAM NRC, RUWASSA, UNICEF AAH/ACF, ALIMA, IMC, IRC, MSF - Baga Belgium, MSF - France, POH, Damasak UNICEF, WHO MC, OXFAM Gudumbali IMC, IRC, MSF - Belgium, MOBBAR Cross Kauwa NGALA (10 Partners) SMoH/SPHCDA MSF - Holland, UNICEF, WHO GUZAMALA CCHD, DRC, GEPDC, IOM, IRC, IOM NF, Plan, SCI, SMoWASD, UNFPA, WiNN CCHD, EYN, SMoWASD, UNFPA Monguno GUBIO DRC, SIF, WFP NRC POH MARTE Gubio Gajiram MSF - Swiss, POH, UNICEF, WHO CIDAR, CRS, IOM, MSF - France, MONGUNO NRC, OXFAM, RUWASSA, NRCS, POH UNICEF NGANZAI Gamboru Ngala CCHD, FHI360, IOM Marte Ngala MAIDUGURI (34 Partners) IRC NGALA Rann MAGUMERI Magumeri IOM MAFA Dikwa KALA/ KALA/BALGE (7 Partners) JERE BALGE UNOCHA Khaddamari
    [Show full text]
  • A Famine Likely Occurred in Bama LGA and May Be Ongoing in Inaccessible Areas of Borno State
    December 13, 2016 A Famine likely occurred in Bama LGA and may be ongoing in inaccessible areas of Borno State This report summarizes an IPC-compatible analysis of Local Government Areas (LGAs) and select IDP concentrations in Borno State, Nigeria. The conclusions of this report have been endorsed by the IPC’s Emergency Review Committee. This analysis follows a July 2016 multi-agency alert, which warned of Famine, and builds off of the October 2016 Cadre Harmonisé analysis, which concluded that additional, more detailed analysis of Borno was needed given the elevated risk of Famine. KEY MESSAGES A Famine likely occurred in Bama and Banki towns during 2016, and in surrounding rural areas where conditions are likely to have been similar, or worse. Although this conclusion cannot be fully verified, a preponderance of the available evidence, including a representative mortality survey, suggests that Famine (IPC Phase 5) occurred in Bama LGA during 2016, when the vast majority of the LGA’s remaining population was concentrated in Bama Town and Banki Town. Analysis indicates that at least 2,000 Famine-related deaths may have occurred in Bama LGA between January and September, many of them young children. Famine may have also occurred in other parts of Borno State that were inaccessible during 2016, but not enough data is available to make this determination. While assistance has improved conditions in accessible areas of Borno State, a Famine may be ongoing in inaccessible areas where conditions could be similar to those observed in Bama LGA earlier this year. Significant assistance in Bama Town (since July) and in Banki Town (since August/September) has contributed to a reduction in mortality and the prevalence of acute malnutrition, though these improvements are tenuous and depend on the continued delivery of assistance.
    [Show full text]