72% 72% Borno State Integrated Disease Surveillance and Response (IDSR) Nigeria Emergency Response. Table of Contents. A.

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1 Borno State Integrated Disease Surveillance and Response (IDSR) Nigeria Emergency Response W (Aug 6-Aug 12) Table of Contents A. Key indicators B. Indicator-based surveillance C. System performance A. Key indicators Surveillance Performance Indicators % 72% of LGAs* of LGAs that reported of health facilities of health facilities that reported Completeness at health facility level. 92% at LGA Timeliness at health facility level. 88% at LGA level. level.

2 Alert W32 Alert Risk Assessment 37 81% W32 Cumulative Total alerts raised** % alerts verified # alerts requiring response 14 Low 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. ** Alerts are based on 7 weekly reportable diseases in the national IDSR reporting format (IDSR 2) and 8 additional diseases/health events of public health importance in the IDP camps and IDP hosting areas. 16 Moderate risk 1 19 High risk 1 Very high risk Figure 1 Trend in consultations W W W W W W1 218 W W New visits Repeat visits

3 B. Indicator-based surveillance Summary Figure 1a Proportional morbidity (W32) Figure 1b Proportional mortality (W32) Malaria (confirmed) Malaria (suspected) Acute Respiratory Infection Acute Watery Diarrhoea Bloody diarrhoea Severe Acute Malnutrition Mental Health Other Malaria (confirmed) Malaria (suspected) Acute Respiratory Infection Acute Watery Diarrhoea Bloody diarrhoea Severe Acute Malnutrition Maternal death Neonatal death Other Statistical tables Show

4 Table 1a Weekly and cumulative number of reported cases Syndrome W32 Cumulative # cases % morb. # cases % morb. Malaria (confirmed) 7, % 18, % Malaria (suspected) 14, % 391, % Table 1b Weekly and cumulative number of reported deaths Syndrome W32 Cumulative # deaths % mort. # deaths % mort. Malaria (confirmed) % % Malaria (suspected) % % Acute Respiratory Infection 5, % 234, % Acute Respiratory Infection.% % Acute Watery Diarrhoea 2, % 18, % Bloody diarrhoea 195.4% 8,71.6% Severe Acute Malnutrition 2, % 98, % Mental Health 69.1% 1,71.1% Other 16, % 487, % Total cases 49,35 1% 1,513,13 1% 1 Proportional morbidity Acute Watery Diarrhoea.% % Bloody diarrhoea.% 8.% Severe Acute Malnutrition.% 4 8.5% Maternal death 1 5.6% 2 4.3% Neonatal death 1 5.6% % Other % % Total deaths 18 1% 469 1% 2 Proportional mortality

5 Table 1c Immediately notifiable diseases (IDSR 2) Disease W32 Cumulative # cases # deaths # cases # deaths AFP /Polio Measles (suspected) 7 1,72 28 Meningitis (suspected) 31 4 Cholera (suspected) Viral Haemorrhagic Fever (suspected) 1 Yellow Fever (suspected) Guinea worm (suspected) Human Influenza (suspected) Acute Flaccid Paralysis caused by a new subtype

6 Malaria Show Figure 2a Age breakdown Figure 2b Trend in number of cases over time (Borno State) Under 5 Over 5 5 Total case fatality due to malaria in W32 was.%. W W W W W1 218 W Figure 2c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio Measles (suspected) Show Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo

7 Figure 3a Age breakdown Figure 3b Trend in number of cases over time (Borno State) Under 5 Over 5 Total case fatality due to measles in W32 was.%. Figure 3c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio W Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo W W W W1 218 W18 218

8 Acute Respiratory Infection Show Figure 4a Age breakdown Figure 4b Trend in number of cases over time (Borno State) Under 5 Over 5 Total case fatality due to acute respiratory infection in W32 was.%. W W W W W1 218 W Figure 4c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio Acute Watery Diarrhoea Show Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo

9 Figure 5a Age breakdown Figure 5b Trend in number of cases over time (Borno State) Under 5 Over 5 1 Total case fatality due to Acute Watery Diarrhoea in W32 was.%. Figure 5c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio W Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo W W W W1 218 W18 218

10 Bloody diarrhoea Show Figure 6a Age breakdown Figure 6b Trend in number of cases over time (Borno State) Under 5 Over 5 Total case fatality due to bloody diarrhoea in W32 was.%. Figure 6c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio Severe Acute Malnutrition Show W Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo W W W W1 218 W18 218

11 Figure 7a Age breakdown Figure 7b Trend in number of cases over time (Borno State) Under 5 Over 5 1 Total case fatality due to SAM in W32 was.%. Figure 7c of cases by LGA Kwaya Kusar Askira Uba Kaga Gubio W Maiduguri Magumeri Konduga Mobbar Ngala Kukawa Guzamala Damboa Gwoza Monguno Dikwa Jere Kala/Balge Nganzai Chibok Shani Mafa Bama Biu Hawul Bayo W W W W1 218 W18 218

12 C. System performance Statistical tables Show Table 9a Surveillance performance indicators by LGA (W32) Location Reporting Performance # sites # reports received Comp. 3 4 Askira Uba % 66% Bama 4 4 1% 1% Bayo % 91% Biu % 84% Chibok % 18% Damboa % 64% Dikwa % 71% Gubio 5 3 6% 6% Guzamala % 33% Gwoza % 43% Hawul % 79% Jere % 54% Kaga 5 4 8% 8% Kala/Balge 2 2 1% 1% Konduga % 87% Kukawa 4 4 1% 1% Kwaya Kusar 1 8 8% 8% Mafa 4 2 5% 5% Time. Table 9b Alert performance indicators by LGA Syndrome W32 Cumulative 218 # alerts % verif. # alerts % verif. Askira Uba 3 67% 17 69% Bama 2 5% 59 92% Bayo 3 1% 1 87% Biu 1 1% 72 82% Chibok % 24 71% Damboa 1 1% 69 7% Dikwa 1 % 26 23% Gubio 1 1% 22 95% Guzamala % 13 85% Gwoza % 45 78% Hawul % 54 85% Jere 3 1% 164 9% Kaga 1 1% 35 86% Kala/Balge % 2 1% Konduga 6 1% % Kukawa % 79 86% Kwaya Kusar % 33 94% Mafa % 31 84%

13 Magumeri 1 9 9% 9% Maiduguri % 83% Mobbar 1 % % Monguno % 1% Ngala % 83% Nganzai % 75% Shani % 7% Borno State % 72% 3 Completeness of reporting (at health facility level) 4 Timeliness of reporting (at health facility level) Magumeri 7 86% % Maiduguri 4 5% % Mobbar % 25 72% Monguno 1 1% 73 74% Ngala 1 % 31 97% Nganzai 1 1% 68 99% Shani 1 1% 53 87% Borno State 37 81% 1,668 85% Contact Information Samuel B Thliza State Epidemiologist Ministry of Health Maiduguri, Nigeria thliza25@gmail.com Telephone: Dr Sunday Audu State Surveillance Officer WHO State Office Maiduguri, Nigeria audusu@who.int Telephone: Learn more about EWARS Nigeria EWARS has been deployed since September 216 in response to the humanitarian crisis in North-Eastern Nigeria. It is supporting MoH and partners to strengthen mortality and disease surveillance.