30/09/2019 EWARS - Report Viewer

Borno State 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 . 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

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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

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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 Bayo Bama Kaga Shani Askira Uba 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

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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

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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

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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. http://ng.ewars.ws/login

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