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Borno State Weekly Epidemiological Bulletin

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Borno State Weekly Epidemiological Bulletin Borno State Nigeria Emergency Response Integrated Disease Surveillance and Response (IDSR) W36 2020 (Aug 31-Sep 06) Table of Contents A. Key indicators B. Indicator-based surveillance C. System performance A. Key indicators Surveillance | Performance Indicators 25 24 276 199 70% 70% 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 | W36 Alert | Risk Assessment 37 100% 0 W36 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 22 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 100000 75000 50000 Number 25000 0 W27 2019 W27 2020 W26 2017 W01 2018 W52 2016 W26 2018 W01 2019 W01 2020 New visits Repeat visits B. Indicator-based surveillance Summary Figure 1a | Proportional morbidity (W36) Figure 1b | Proportional mortality (W36) 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 W36 Cumulative Syndrome W36 Cumulative 2020 2020 # cases % morb.1 # cases % morb.1 # deaths % mort.2 # deaths % mort.2 Malaria (confirmed) 9,108 20.7% 218,010 13.4% Malaria (confirmed) 2 22.2% 47 11.8% Malaria (suspected) 10,149 23.1% 335,874 20.7% Malaria (suspected) 1 11.1% 30 7.5% Acute Respiratory 6,649 15.1% 294,993 18.2% Acute Respiratory 0 0.0% 7 1.8% Infection Infection Acute Watery Diarrhoea 833 1.9% 30,064 1.9% Acute Watery Diarrhoea 0 0.0% 0 0.0% Bloody diarrhoea 133 0.3% 6,799 0.4% Bloody diarrhoea 0 0.0% 0 0.0% Severe Acute Malnutrition 1,615 3.7% 55,847 3.4% Severe Acute Malnutrition 0 0.0% 15 3.8% Mental Health 108 0.2% 2,979 0.2% Maternal death 0 0.0% 10 2.5% Other 15,352 34.9% 678,355 41.7% Neonatal death 5 55.6% 74 18.5% Total cases 43,957 100% 1,625,020 100% Other 1 11.1% 216 54.1% 1 Proportional morbidity Total deaths 9 100% 399 100% 2 Proportional mortality Table 1c | Immediately notifiable diseases (IDSR 002) Disease W36 Cumulative 2020 # cases # deaths # cases # deaths AFP1/Polio 2 0 86 0 Measles (suspected) 10 0 2,099 4 Meningitis (suspected) 0 0 13 0 Cholera (suspected) 0 0 0 0 Viral Haemorrhagic Fever 0 0 10 3 (suspected) Yellow Fever (suspected) 2 0 71 0 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 Malaria Show 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 W36 was 0.0% . W27 2020 W26 2018 W01 2018 W01 2020 W52 2016 W26 2017 W27 2019 W01 2019 Figure 2c | Number of cases by LGA 5000 4000 3000 Number 2000 1000 0 Biu Jere Kaga Shani Bayo Mafa Bama Gubio Ngala Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar Measles (suspected) Show 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 W36 was 0.0% . W01 2019 W26 2018 W27 2020 W01 2020 W52 2016 W01 2018 W27 2019 W26 2017 Figure 3c | Number of cases by LGA 6 4 Number 2 0 Biu Jere Kaga Shani Bayo Mafa Bama Gubio Ngala Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar Acute Respiratory Infection Show Figure 4a | Age breakdown Figure 4b | Trend in number of cases over time (Borno State) 15000 10000 Number 5000 Under 5 Over 5 0 Total case fatality due to acute respiratory infection in W36 was 0.0% . W26 2018 W27 2020 W01 2018 W01 2020 W52 2016 W27 2019 W26 2017 W01 2019 Figure 4c | Number of cases by LGA 3000 2000 Number 1000 0 Biu Jere Ngala Kaga Shani Bayo Mafa Bama Gubio Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar Acute Watery Diarrhoea Show 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 W36 was 0.0% . W01 2019 W26 2018 W27 2020 W52 2016 W01 2018 W01 2020 W27 2019 W26 2017 Figure 5c | Number of cases by LGA 500 400 300 Number 200 100 0 Biu Jere Kaga Shani Bayo Mafa Bama Gubio Ngala Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar Bloody diarrhoea Show 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 W36 was 0.0% . W52 2016 W27 2019 W01 2018 W26 2017 W27 2020 W01 2020 W26 2018 W01 2019 Figure 6c | Number of cases by LGA 25 20 15 Number 10 5 0 Biu Jere Ngala Kaga Shani Bayo Mafa Bama Gubio Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar Severe Acute Malnutrition Show 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 W36 was 0.0% . W01 2019 W26 2018 W27 2020 W52 2016 W01 2018 W01 2020 W27 2019 W26 2017 Figure 7c | Number of cases by LGA 400 300 200 Number 100 0 Biu Jere Kaga Shani Bayo Mafa Bama Gubio Ngala Gwoza Dikwa Chibok Hawul Kukawa Mobbar Nganzai Damboa KondugaMonguno Magumeri Askira UbaGuzamala Kala/Balge Maiduguri Kwaya Kusar C. System performance Statistical tables Show Table 9a | Surveillance performance indicators by LGA (W36) Table 9b | Alert performance indicators by LGA Location Reporting Performance Syndrome W36 Cumulative 2020 # sites # reports Comp.3 Time.4 received # alerts % verif. # alerts % verif. Askira Uba 29 17 59% 59% Askira Uba 3 100% 92 83% Bama 4 3 75% 75% Bama 1 100% 68 79% Bayo 11 8 73% 73% Bayo 3 100% 99 91% Biu 22 21 91% 91% Biu 0 0% 89 84% Chibok 11 7 64% 64% Chibok 1 100% 62 90% Damboa 14 11 79% 79% Damboa 3 100% 97 66% Dikwa 7 3 43% 43% Dikwa 1 100% 24 71% Gubio 5 4 80% 80% Gubio 0 0% 26 96% Guzamala 0 0 0% 100% Guzamala 0 0% 0 0% Gwoza 7 7 100% 100% Gwoza 0 0% 47 70% Hawul 14 11 79% 79% Hawul 7 100% 37 95% Jere 26 20 73% 73% Jere 1 100% 181 92% Kaga 5 5 100% 100% Kaga 0 0% 15 100% Kala/Balge 3 2 67% 67% Kala/Balge 0 0% 10 80% Konduga 16 13 81% 81% Konduga 5 100% 129 91% Kukawa 0 0 0% 100% Kukawa 0 0% 0 0% Kwaya Kusar 11 7 64% 64% Kwaya Kusar 0 0% 41 85% Mafa 7 5 71% 71% Mafa 4 100% 37 81% Magumeri 10 7 70% 70% Magumeri 1 100% 84 74% Maiduguri 19 11 58% 58% Maiduguri 4 100% 211 86% Mobbar 2 0 0% 0% Mobbar 0 0% 35 71% Monguno 18 13 44% 44% Monguno 0 0% 149 83% Ngala 6 2 33% 33% Ngala 0 0% 26 77% Nganzai 4 4 100% 100% Nganzai 0 0% 25 92% Shani 25 18 72% 72% Shani 3 100% 57 74% Borno State 276 199 70% 70% Borno State 37 100% 1,641 84% 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 Ministry of Health WHO Health Emergencies Programme Office Contact Information 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. http://ng.ewars.ws/login.
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