1. Presented by: Adetoun Dapo – Famodu
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FIT SURVEILLANCE
In Brief
Presented by: Adetoun Dapo – Famodu
Nutrition Section,
UNICEF Abuja.

2. Nutrition specific + Multisectoral pilot Integrated + pilot for 1 year
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Then to Now…..
2016 I
2017 II
2019
III
INP
UNICEF, ACF, WFP
Nutrition - specific
£16.1m
Borno and Yobe
INP+
UNICEF, ACF, WFP
Nutrition specific + Multisectoral pilot
£33.5m
Borno and Yobe
FIT
UNICEF
Integrated + pilot for 1 year
£20.8m
Borno

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The FIT Project
DFID - funded
Flexible, integrated and timely response to nutrition-related humanitarian needs in Borno state (FIT Response)
3 years (2019 to 2022),
£20.8 million, integrated for nutrition project
Backbone is a routine surveillance system

4. The FIT – Response Project
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The FIT – Response Project
Flexible
Integrated
Timely

5. FIT – Response Surveillance
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The FIT – Flexible
FIT
Available prepositioned funds and supplies
Responds to needs as they arise
Re-strategizes as needs are changing
Not limited only to certain locations
FIT – Response Surveillance

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The FIT – Integrated
FIT – Shani (1 year only)
Nutrition
WASH
Health
Education (ECCD)
Child Protection
FIT – other LGAs
Nutrition
WASH
Health
Child Protection (BR)

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The FIT – Timely
Timely: available contingency funds and supplies to respond to dire emergency issues in a week or two depending on the type of emergency

8. The FIT – Response Surveillance
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The FIT – Response Surveillance
Architecture
Data
Timeline

9. Small – scale surveys and repeated surveys (current NFSS)
Architecture
FIT Surveillance (online) dashboard
Outbreak data
Community sentinel
Facility –based data
Small – scale surveys and repeated surveys (current NFSS)

10. Monthly Community sentinel
Architecture
Ward 1 2 3 4 5
Ward 1 2 3 4 5
Monthly Community sentinel
All accessible wards in an LGA
(current info:185 out of 310)
15* settlements/ward selected
Total of 2,775* settlements
5 settlements visited monthly for collection of sentinel data
Outbreak data
Facility – based data
* Might be less depending on the accessibility profile

11. All 5 visited monthly for collection of sentinel data
Architecture
LGA 1 2 3 4 5
LGA 1 2 3 4 5
Facility – based data
Randomly selected accessible health facilities providing OTP services in an LGA
5 health facilities per LGA (where less than 5, data will be collected from all)
All 5 visited monthly for collection of sentinel data
Community sentinel
Outbreak data

12. Architecture Outbreak data
At LGA levels through LGA DSNOs as outbreaks are detected
Links with WHO EWARS at state level
Community sentinel
Facility – based data

13. Monthly Community sentinel
Data
Monthly Community sentinel
Facility – based data
Outbreak data
Proxy GAM prevalence using MUAC
Mean MUAC change
Mean weight change
Meal frequency
7-day diarrhea recall
Recent arrivals, departures, births and deaths
Note: 6 – 23 months
Number of new SAM admissions
Mean MUAC at admission
Mean weight at admission
Note: for all new admissions
Measles outbreak
Cholera outbreak

14. Proposed Timeline 25 Jul – 25 Aug 2019 8 – 16 Jul 2019 3 – 6 Sep 2019
Begin first data collection from 9th to 13th September 2019
Train sample census enumerators in 2 batches
Train LSCs on surveillance data collection
25 Jul – 25 Aug 2019
8 – 16 Jul 2019
3 – 6 Sep 2019
18 – 21 Jul 2019
28 – 30 Aug 2019
Finalize protocol/census tools with NBS
Select surveillance areas
Finalize recruitment of census data collectors
Census data collection from selected sentinel sites
Recruitment of SAs
Finalize sentinel data collection tools
Train SAs on sentinel data collection in 2 batches

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Ward level data collection
LGA level coordination/HF data collection
State level coordination & implementation
Overall coordination
2 IMOs Abuja
IMO Maiduguri (surveillance)
1 State Surveillance Coordinator (SSC)
25 LGA Surveillance Coordinators (LSC)
185 Surveillance Assistants (SAs)
2 State Surveillance Supervisors 02 03 04

16. FIT to sector Sector to FIT comment question details teams intro
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FIT to sector
Sector to FIT
Availability of ward level sentinel* data for better programming
Data is available to all sector partners on a web-based platform that can be assessed anywhere at anytime (link will be shared when live)
Aiming for more proactive as opposed to reactive nutrition sector programming
Review the results of the surveillance data during sector meetings monthly
Discuss recommendations made based on the surveillance data
Visit and use the info on the web-based platform
Give inputs on how the system can be made better to profit the sector

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