Virtual Training on IPC AMN: Global Partners Support

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Join the virtual training session on IPC AMN Level 1 with the support of IPC Global Partners. Engage in group discussions, consensus building, and analysis on topics like IPC scale, added values, consensus building, and more. Explore the IPC AMN analytical framework and its application in understanding issues like the COVID-19 pandemic's impact on malnutrition. Enhance your knowledge and skills in IPC through interactive sessions.

  • Virtual Training
  • IPC AMN
  • Global Partners
  • Analysis
  • Consensus Building

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  1. Session 1 IPC AMN Level 1 Virtual Training With the support of IPC Global Partners

  2. Session 1.1 2

  3. Groupwork 15 min In your group, discuss: 1) How would you briefly describe IPC AMN to someone who has never heard about it? 2) Why is IPC AMN scale needed in IPC? 3) List 3 added values of using IPC AMN Be ready to present in plenary! 3

  4. Groupwork 15 min In your group, discuss: 1) How would you briefly describe IPC AMN to someone who has never heard about it? 2) Why is IPC AMN scale needed in IPC? 3) List 3 added values of using IPC AMN Be ready to present in plenary! 4

  5. Session 1.2 5

  6. Groupwork 15 min In your group, discuss: 1. What is consensus building in IPC? 2. Why is consensus building needed in IPC? 3. List 3 best practices for achieving consensus. 4. What can be done when there s no consensus? Be ready to present in plenary! 6

  7. Plenary discussion 10 min 1) What are the key sectors and stakeholders that should be part of an IPC AMN analysis team? 1) What would be the possible consequences of not having relevant sectors and stakeholders in an IPC AMN analysis team? 7

  8. Session 1.3 8

  9. Groupwork 15 min In your group, discuss: 1. Where would COVID-19 pandemic come under in the IPC AMN analytical Framework? 2. Using the IPC AMN analytical framework, come up with 5 possible pathways in which the COVID-19 pandemic could contribute to acute malnutrition (Note: consider basic, underlying, and immediate causes) Be ready to present in plenary! 9

  10. Session 1.4 10

  11. Classification using GAM Based on MUAC - an example - 11

  12. How to classify an area based on GAM based on MUAC An exhaustive MUAC Screening in the Bay Agro-pastoral Livelihood Zone shows 8.3%. What is the IPC AMN Phase? 12

  13. How to classify an area based on GAM based on MUAC: An example (1/4) An exhaustive MUAC Screening in the Bay Agro-pastoral LZ shows 8.3%. What is the IPC AMN Phase? Go through a 5-step process Step 1: Review the IPC AMN Ref Table and identify possible Phases Step 2: Review the relationship between WHZ and MUAC from historical data Step 3: Arrive at an indicative Phase Step 4: Review the contributing factors Step 5: Arrive at final Phase 13

  14. How to classify an area based on GAM based on MUAC: An example (2/4) Step 1: Review the IPC AMN Ref Table and identify possible Phases GAM based on MUAC prevalence (%) <5 5-9.9 10-14.9 15 Phase 1-2 2-3 3-4 4-5 According to the IPC AMN Reference Table, GAM based on MUAC of 8.3% is either in Phase 2 or 3 14

  15. How to classify an area based on GAM based on MUAC: An example (3/4) Step 2: Review Historical Data and determine the relationship between MUAC and WHZ in the area Indicator WHZ MUAC Deyr 15 17.3 13.2 Gu 16 18.1 11.5 Deyr 16 20 11.9 Gu 17 13.8 12.4 Deyr 17 11.1 7.1 Review the relationship between WHZ and MUAC: For a given WHZ, what s the corresponding MUAC? What happens to MUAC when there s or in WHZ? What is the relationship in terms of IPC AMN Phases?

  16. How to classify an area based on GAM based on MUAC: An example (4/4) Step 3: Arrive at an indicative Phase Based on the relationship between WHZ and MUAC, it is likely to be in Phase 3 Step 4: Review the contributing factors Assume no major changes in contributing factor Step 5: Arrive at final Phase Final Phase: 3

  17. Groupwork 10 min In your group, determine the IPC AMN Phase: An exhaustive MUAC screening carried out in the area shows that the GAM based on MUAC is 12.3%. What is the IPC AMN Phase for the area? Note 1: Historical data shows the following for the same area: Indicator 2020 2019 2018 WHZ - 16.9 22.2 MUAC 12.3 10.7 12.0 Note 2: Assume no significant changes in the contributing factors Be ready to present in plenary! 17

  18. www.IPCinfo.org The End With the support of IPC Global Partners

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