Early Warning Alert and Response System (EWARS). Nigeria Emergency Response. W40 2016 (Oct 03-Oct 09). Surveillance | Pe
Borno State
Nigeria Emergency Response
Early Warning Alert and Response System (EWARS)
W40 2016 (Oct 03-Oct 09)
Surveillance | Performance Indicators
1.3m
160
96
60%
54%
IDPs under surveillance
Total reporting sites
Reports submitted
Completeness
Timeliness
approx. 80% of IDPs in Borno State
including 20 IDP camps
Alert *
59
85%
Total alerts raised*
% alerts verified
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 in the IDP camps and IDP hosting areas. For more details and to manage the alerts, login toNigeria EWARS
Table of Contents
A. Indicator-based surveillance B. Immediately notifiable diseases C. Annexes
A. Indicator-based surveillance Summary Figure 1a | Proportional morbidity (W40)
Figure 1b | Proportional mortality (W40)
Malaria
Severe Acute Malnutrition
Malaria
Measles
Acute Respiratory Infection
Measles
Acute Respiratory Infection
Mental Health
Acute Watery Diarrhoea
Mental Health
Acute Watery Diarrhoea
Maternal death
Bloody diarrhoea
Other
Bloody diarrhoea
Neonatal death
Severe Acute Malnutrition
Other
The numbers of immediately notifiable diseases under IDSR 002 are shown below in section 2. Overall, reportable diseases under surveillance represented 79% of total morbidity and 65% of total mortality in W40.
Statistical tables
Show
Table 1a | Weekly and cumulative number of reported cases
Table 1b | Weekly and cumulative number of reported deaths
Cumulative
W40
Cumulative
W40
2016
Syndrome
2016
Syndrome # cases
% morb. 1
% morb. 1
# cases
% mort.2
# deaths
% mort.2
# deaths
Malaria
10,828
54%
54,179
51%
Malaria
3
13%
219
38%
Acute Respiratory Infection
1,899
9%
9,178
9%
Acute Respiratory Infection
0
0%
3
1%
Acute Watery Diarrhoea
1,678
8%
8,414
8%
Acute Watery Diarrhoea
2
9%
96
17%
Bloody diarrhoea
194
1%
1,227
1%
Bloody diarrhoea
3
13%
0
0%
Severe Acute Malnutrition
1,275
6%
7,261
7%
Severe Acute Malnutrition
1
4%
51
9%
Measles
72
0%
530
0%
Measles
0
0%
2
0%
Mental Health
0
0%
5
0%
Maternal Death
0
0%
11
2%
Other
4,179
21%
26,193
25%
Neonatal death
4
17%
21
4%
Total cases
20,127
100%
106,987
100%
Other
8
35%
156
27%
Total deaths
23
100%
579
100%
1 Proportional
morbidity
2 Proportional
Table 1c | Surveillance performance indicators by LGA (W40)
Reporting
mortality
Table 1d | Alert performance indicators by LGA
Performance
Location
Cumulative
W40
2016
Syndrome # reports received
# sites
Comp.3
Time.4
# alerts
% verif.
# alerts
% verif.
Askira Uba
15
9
60%
0%
Askira Uba
2
50%
4
25%
Bayo
11
7
64%
14%
Bayo
4
0%
9
0%
Biu
14
13
93%
54%
Biu
9
100%
21
95%
Chibok
11
5
45%
0%
Chibok
1
0%
3
0%
Hawul
14
7
50%
57%
Hawul
1
100%
6
83%
Jere
26
14
54%
86%
Jere
12
92%
99
98%
Kaga
2
1
50%
100%
Kaga
0
0%
3
100%
Konduga
7
7
100%
71%
Konduga
2
100%
21
100%
Kwaya Kusar
11
10
91%
60%
Kwaya Kusar
3
100%
6
100%
Mafa
2
2
100%
100%
Mafa
2
100%
15
100%
Maiduguri
19
12
63%
50%
Maiduguri
11
82%
105
97%
Monguno
16
7
44%
86%
Monguno
9
100%
41
100%
Shani
12
2
17%
100%
Shani
3
100%
4
100%
160
96
60%
54%
Borno State
59
85%
337
93%
Borno State 3 Completeness 4 Timeliness
of reporting
of reporting
Malaria
Show
Figure 2a | Age breakdown
Figure 2b | Trend in number of cases over time (Borno State) 12500
Number
10000 7500 5000 2500 Under 5
Over 5 W38 2016
W39 2016
W40 2016
W38 2016
W39 2016
W40 2016
W37 2016
W36 2016
W34 2016
W35 2016
0
Total case fatality due to malaria in W40 was 0.0% .
Figure 2c | Number of cases by LGA 4000
Number
3000
2000 1000
M
k
i C
hi
bo
an Sh
gu on M
ai
du
M
gu
no
ri
a af
a ug Ko
ay Kw
As
nd
Je
re
ul aw
Ku
H
sa
r
u a
Ka
Bi
ga
yo Ba
ki
ra
U
ba
0
Acute Respiratory Infection
Show
Figure 3a | Age breakdown
Figure 3b | Trend in number of cases over time (Borno State) 2000
Number
1500
1000
500 Under 5
Over 5 W37 2016
W36 2016
W34 2016
W35 2016
0
Total case fatality due to acute respiratory infection in W40 was 0.0% .
Figure 3c | Number of cases by LGA 800
400 200
k C
hi
bo
i an Sh
on M
du ai M
gu
gu
no
ri
a af M
nd
ug
a
re Ko
Je
ul aw
Ku a
H
sa
r
u
ga Ka
yo Ba
Bi
ay Kw
ki
ra
U
ba
0
As
Number
600
Acute Watery Diarrhoea
Show
Figure 4a | Age breakdown
Figure 4b | Trend in number of cases over time (Borno State) 2000
Number
1500
1000
500 Under 5
Over 5 W38 2016
W39 2016
W40 2016
W38 2016
W39 2016
W40 2016
W37 2016
W36 2016
W34 2016
W35 2016
0
Total case fatality due to Acute Watery Diarrhoea in W40 was 0.1% .
Figure 4c | Number of cases by LGA 600
Number
400
200
M
k
i C
hi
bo
an Sh
M
on
gu
gu ai
du
M
Ko
no
ri
a af
a ug nd
Je
re
ul aw
Kw
As
ay
ki
a
Ku
H
sa
r
u Bi
ga Ka
ra
U
Ba
ba
yo
0
Bloody diarrhoea
Show
Figure 5a | Age breakdown
Figure 5b | Trend in number of cases over time (Borno State) 400
Number
300
200
100 Under 5
Over 5 W36 2016
W35 2016
W34 2016
W37 2016
0
Total case fatality due to bloody diarrhoea in W40 was 1.5% .
Figure 5c | Number of cases by LGA 60
20
k C
hi
bo
i an Sh
on M
du ai M
gu
gu
no
ri
a af M
nd
ug
a
re Ko
Je
ul aw
Ku
H
sa
r
u a
ga Ka
yo Ba
Bi
ay Kw
ki
ra
U
ba
0
As
Number
40
Severe Acute Malnutrition
Show
Figure 6a | Age breakdown
Figure 6b | Trend in number of cases over time (Borno State) 2000
Number
1500
1000
500 Under 5
Over 5 W40 2016
W39 2016
W38 2016
W37 2016
W36 2016
W34 2016
W35 2016
0
Total case fatality due to SAM in W40 was 0.1% .
Figure 6c | Number of cases by LGA 400
Number
300
200 100
M
k
i C
hi
bo
an Sh
M
ai
on
du
gu
gu
no
ri
a af M
nd
ug
a
re Ko
H
Je
ul aw
sa Ku ay
Kw
As
Mental Health
r
u a
Ka
Bi
ga
yo Ba
ki
ra
U
ba
0
Show
Figure 7a | Age breakdown
Figure 7b | Trend in number of cases over time (Borno State) 4
Number
3
2
1 Under 5
Over 5
k C
hi
bo
i an Sh
on M
du ai M
gu
gu
no
ri
a af M
nd
ug
a
re Ko
Je
ul aw
Ku a
H
sa
r
u ay
ga Ka
yo Ba
Bi Kw
ki
ra
U
ba
0
As
Number
Figure 7c | Number of cases by LGA
W40 2016
W39 2016
W37 2016
W36 2016
W35 2016
W34 2016
W38 2016
0
Total case fatality due to mental health in W40 was 0.0% .
B. Immediately notifiable diseases (IDSR 002) Statistical tables
Show
Table 8a | Weekly and cumulative number of cases by disease
Cumulative
W40
2016
Disease # cases
# deaths
# cases
# deaths
AFP1/Polio
8
0
26
0
Meningitis
0
0
13
1
Cholera
0
0
38
1
Viral Haemorrhagic Fever
0
0
1
2
Yellow Fever
0
0
0
1
Guinea worm
0
0
2
0
0
0
0
1
Human Influenza 2 1 Acute
Flaccid Paralysis
2 caused
by a new subtype
C. Annexes All cause trends by LGA
Show
Figure 9a | Jere
Figure 9b | Mafa
6000
200
Number
Number
4000 100
2000
SAM
BD
MAL
SAM
W40 2016
W39 2016
W38 2016
MAL
W38 2016
BD
W37 2016
W36 2016
AWD
W37 2016
Figure 9c | Konduga
ARI
W36 2016
W40 2016
MH
W35 2016
SAM
W34 2016
BD
W39 2016
AWD
W38 2016
ARI
W37 2016
W36 2016
MAL
W35 2016
0 W34 2016
0
MH
Figure 9d | Kaga
1500
1000
750
Number
Number
1000 500
500 250
BD
SAM
MH
ARI
AWD
MH
W40 2016
W39 2016
W35 2016
W34 2016
W40 2016
W39 2016
AWD
W38 2016
ARI
W37 2016
W36 2016
MAL
W35 2016
0 W34 2016
0
Figure 9e | Maiduguri 4000
Number
3000
2000
1000
BD
SAM
W40 2016
MH
Priority health facilities in IDP camps and IDP hosting areas
Data Sources
Contact Information
W39 2016
AWD
W38 2016
ARI
W37 2016
W36 2016
MAL
W35 2016
W34 2016
0
Samuel B Thliza
Dr Sunday Audu
State Epidemiologist Ministry of Health Maiduguri, Nigeria Email:
[email protected] Telephone: 0708 093 0851
State Surveillance Officer WHO State Office Maiduguri, Nigeria Email:
[email protected] Telephone: 0803 566 4472
Nigeria EWARS Learn more about EWARS
http://ewars-project.org
has been deployed since September 2016 in response to the humanitarian crisis in North-Eastern Nigeria. It is supporting MoH and partners to strengthen mortality and disease surveillance. http://ng.ewars.ws/login
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