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Challenge 2 global nutrition dashboard

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Challenge 2 global nutrition dashboard

  1. 1. GLOBAL NUTRITION DASHBOARD Jana Daher Dec 4, 2018
  2. 2. Background A standardised and simplified cross- sectional field survey methodology which produces a snapshot of the current situation on the ground Measures the two most vital public health indicators: 1. Nutritional status 2. Mortality rate
  3. 3. SMART survey | Nawalparasi Nepal | July 2018
  4. 4. SMART Surveys Out of the countries with active humanitarian appeals, 62% of them had conducted at least one SMART survey in 2016
  5. 5. Challenges Data Access Data Utilization
  6. 6. Only 3 out of 37 countries reported using the excel template to compile survey results
  7. 7. NutriDash is an internal UNICEF online platform that monitors global progress on nutrition programme coverage and plan for supplies forecasting, since 2013
  8. 8. Challenges 1. Problems of connectivity 2. Data sensitivity 3. Upload of un-validated data 4. Additional time required from partners 1. API to sync data from mobile tool, analysis platform, and aggregator 2. Compatibility with all operating systems 3. Meta-analysis and trend visualization 4. Long-term data storage and archiving 5. Data security and confidentiality measures 6. Links to social media platforms Opportunities
  9. 9. Thanks!Any question? hahmed@actioncontrelafaim.ca jdaher@actioncontrelafaim.ca

Editor's Notes

  • Hi everyone my name is jana daher and I work at ACF canada more specifically within the smart initiative. I am going to be presenting to you today the need for a Global nutrition dashboard.
  • Just to give you a bit of background about the smart. The initiative was launched in 2006. Prior to 2006 – different partners were conducting nutrition surveys using a variety of different methods in different contexts. In 2006 a group of technical experts came together and created SMART to standardize the way nutrition surveys are conducted.

    It was designed to measure the 2 most vital PH indicators: nutrition status of children under 5 and mortality among the whole population.
  • Here you see an example of a smart survey being conducted in nepal where the survey team is taking measurements and conducting an interview with the mother to collect the needed information.
  • Nepal is only one example – in fact recent evidence has shown that 62% of countries with humanitarian appeal have conducted at least one SMART survey in 2016.
    If you are wondering why we don’t have a more recent figure of the coverage of SMART? It is because of the challenge that we want to address today.
  • Why is it important to have the data at the global level? Make use of them.
    IPC: Integrated phase classification. DETERMINE THE SEVERITY AND MAGNITUDE OF ACUTE AND CHRONIC FOOD INSECURITY, AND ACUTE MALNUTRITION SITUATIONS IN A COUNTRY.
    OCHA: The United Nations office for the coordination of humanitarian affairs. OCHA prepares HNO on an annual basis which inform HRPs. HOW MANY PEOPLE ARE IN NEED OF HUMANITARIAN ASSISTANCE> this helps in allocating resources to the partners that are active in zone of crisis.


  • IM toolkit > excel based> only 3> not user friendly and not easily accessible and sharable> learning from this
  • We are in the process of creating a solution. We are revamping the way smart is currently being conducted in order to address many challenges including data access and utilization.
    For this reason we are building a suite of 4 digital tools that synchronized together that we call smartplus. Each of the tools is applied at a different stage of the survey cycle Data collection using the mobile app > platform data analysis and quality control > DATA ACCESS: aggregator global repository of smart surveys > DATA UTILIZATION: dashboard that visualizes the data. For this challenge we will be focusing on the last 2 components: the aggregator and dashboard.

    In the process of us working on these components we do not want to reinvent the wheel. There are other tools and initiatives that exist and that we can learn from. For the aggregator we are exploring a collaboration with NIPN (national information platforms for nutrition) to use the source code that they have developed for their own aggregator.
    We are also collaborating with UNICEF to build the dashboard based on the NutriDash concept.
  • This is how nutridash visualizes program data and our survey dashboard will be visualizing survey data using the same approach

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