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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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