Borno State Nigeria Emergency Response Integrated Disease Surveillance and Response (IDSR) W32 2021 (Aug 09-Aug 15)
Table of Contents
A. Key indicators B. Indicator-based surveillance C. System performance
A. Key indicators
Surveillance | Performance Indicators 25 25 278 203 73% 72%
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. 92% at LGA level. 88% at LGA level. level.
Alert | W32 Alert | Risk Assessment 57 100% 0 W32 Cumulative Total alerts % alerts verified # alerts requiring 1 20 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 W52 2016 W26 2017 W01 2018 W26 2018 W01 2019 W27 2019 W01 2020 W27 2020 W53 2020 W26 2021
New visits Repeat visits
B. Indicator-based surveillance
Summary
Figure 1a | Proportional morbidity (W32) Figure 1b | Proportional mortality (W32)
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 W32 Cumulative Syndrome W32 Cumulative 2021 2021
# cases % morb.1 # cases % morb.1 # deaths % mort.2 # deaths % mort.2
Malaria (confirmed) 7,478 15.6% 205,549 13.1% Malaria (confirmed) 8 12.9% 46 3.8%
Malaria (suspected) 10,480 21.9% 333,928 21.4% Malaria (suspected) 5 8.1% 67 5.5%
Acute Respiratory 7,614 15.9% 277,347 17.7% Acute Respiratory 1 1.6% 15 1.2% Infection Infection
Acute Watery Diarrhoea 1,560 3.3% 32,907 2.1% Acute Watery Diarrhoea 1 1.6% 3 0.2%
Bloody diarrhoea 156 0.3% 6,019 0.4% Bloody diarrhoea 0 0.0% 3 0.0%
Severe Acute Malnutrition 2,102 4.4% 70,726 4.5% Severe Acute Malnutrition 8 12.9% 65 5.3%
Mental Health 70 0.1% 2,305 0.1% Maternal death 1 1.6% 25 2.1%
Other 18,185 38.0% 622,348 39.8% Neonatal death 3 4.8% 81 6.7%
Total cases 47,879 100% 1,563,173 100% Other 35 56.5% 910 74.9%
1 Proportional morbidity Total deaths 62 100% 1,215 100%
2 Proportional mortality
Table 1c | Immediately notifiable diseases (IDSR 002)
Disease W32 Cumulative 2021
# cases # deaths # cases # deaths
AFP1/Polio 2 0 235 0
Measles (suspected) 234 1 12,044 119
Meningitis (suspected) 0 0 25 2
Cholera (suspected) 8 0 30 0
Viral Haemorrhagic Fever 0 0 1 1 (suspected)
Yellow Fever (suspected) 0 0 68 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 W32 was 0.1% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 2c | Number of cases by LGA
3000
2000
Number 1000
0
Biu Bayo Mafa Jere Gubio Ngala Kaga Shani Bama Gwoza Chibok Hawul Dikwa Mobbar Nganzai Damboa Konduga Monguno Magumeri Askira Uba 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 W32 was 0.4% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 3c | Number of cases by LGA
200
150
100 Number
50
0 Gubio Ngala Kaga Mafa Damboa Jere Konduga Maiduguri
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 W32 was 0.0% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 4c | Number of cases by LGA
3000
2000
Number 1000
0
Biu Bayo Mafa Jere Gubio Ngala Kaga Shani Bama Gwoza Chibok Hawul Dikwa Mobbar Nganzai Damboa Konduga Monguno Magumeri Askira Uba 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 W32 was 0.1% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 5c | Number of cases by LGA
600
400
Number 200
0
Biu Bayo Mafa Jere Gubio Ngala Kaga Shani Bama Gwoza Chibok Hawul Dikwa Mobbar Nganzai Damboa Konduga Monguno Magumeri Askira Uba 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 W32 was 0.0% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 6c | Number of cases by LGA
40
30
20 Number
10
0
Biu Jere Ngala Shani Bayo Bama Mobbar Gwoza Chibok Nganzai Damboa Konduga Magumeri Askira Uba 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 W32 was 0.4% . W52 2016 W01 2018 W01 2019 W01 2020 W53 2020
Figure 7c | Number of cases by LGA
400
300
200 Number
100
0
Biu Bayo Mafa Jere Gubio Ngala Kaga Shani Bama Gwoza Chibok Hawul Dikwa Nganzai Damboa Konduga Monguno Magumeri Askira Uba Maiduguri Kwaya Kusar
C. System performance
Statistical tables Show
Table 9a | Surveillance performance indicators by LGA (W32) Table 9b | Alert performance indicators by LGA
Location Reporting Performance Syndrome W32 Cumulative 2021 # sites # reports Comp.3 Time.4 received # alerts % verif. # alerts % verif. Table test Table test
Askira Uba 29 23 79% 79% Askira Uba 1 100% 87 98%
Bama 4 4 100% 100% Bama 1 100% 52 88%
Bayo 11 8 73% 73% Bayo 0 0% 58 98%
Biu 22 19 82% 82% Biu 1 100% 58 95%
Chibok 11 7 64% 64% Chibok 3 100% 69 100%
Damboa 14 7 50% 50% Damboa 4 100% 115 98%
Dikwa 6 2 33% 33% Dikwa 1 100% 14 93%
Gubio 5 5 100% 100% Gubio 2 100% 61 93%
Guzamala 0 0 0% 100% Guzamala 0 0% 0 0%
Gwoza 7 3 43% 43% Gwoza 0 0% 52 85%
Hawul 14 13 93% 93% Hawul 1 100% 56 100%
Jere 25 17 68% 68% Jere 12 100% 356 97%
Kaga 5 5 100% 100% Kaga 3 100% 38 100%
Kala/Balge 3 0 0% 0% Kala/Balge 0 0% 5 100%
Konduga 16 15 94% 94% Konduga 5 100% 210 89%
Kukawa 0 0 0% 100% Kukawa 0 0% 0 0%
Kwaya Kusar 11 7 64% 64% Kwaya Kusar 0 0% 29 97%
Mafa 6 3 50% 50% Mafa 1 100% 35 100%
Magumeri 9 5 56% 56% Magumeri 0 0% 198 99%
Maiduguri 22 14 64% 64% Maiduguri 12 100% 417 97%
Mobbar 2 1 50% 50% Mobbar 0 0% 23 91%
Monguno 20 19 95% 95% Monguno 3 100% 176 100%
Ngala 6 4 67% 67% Ngala 2 100% 20 85%
Nganzai 4 4 100% 100% Nganzai 1 100% 28 100%
Shani 26 18 69% 65% Shani 4 100% 46 100%
Borno State 278 202 73% 72% Borno State 57 100% 2,203 96%
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