Photo credit: UNICEF Fauzan Ijazah

The Tech RRT and the SMART Initiative are pleased to invite you to a practical yet data-driven review of different anthropometric approaches for wasting case detection in the COVID-19 context. 

This webinar was done on Monday 27th July 2020 at 14:00-15:45 (Geneva time).  

As countries have begun adapting their programming in the context of COVID-19, global guidance has evolved to support these changes. This webinar aims to discuss the opportunities and challenges of different approaches for wasting case detection and demonstrate the application of data to these approaches. Contributions from Bangladesh and Yemen will show how countries have adapted to COVID-19. The webinar will finish with a Q&A session, allowing participants to pose questions to presenters.

The webinar concluded by encouraging countries to make informed, contextualized, and data-driven decisions. 

We are pleased to have had contributors from the SMART Initiative, Tech RRT, the Nutrition Sector Coordination in Cox’s Bazar (Bangladesh), MSF-UK, UNICEF Yemen and the Nutrition Cluster Coordination in South Sudan.

For the recording and the slides, please click here.


10 responses to “Webinar – Wasting Case Detection in the Context of COVID-19

  1. I am feeling happy about this Webinar review discussion. I am interested to join this meeting. I think it will be good learning for me.

  2. How will field staff cope up with the high case load at the community level when detecting malnourished children since other parameters such weight for height are used during Covid-19 pandemic outbreak?

    1. Thank you for this question,
      We hope this was answered during the webinar.
      We are sending out the Questions and Answers document to all attendees soon!
      Best,

  3. It is a topic I would love to join but have registered but a password was not given only the Webinar ID was given. Please respond. Thank you

    1. Hi Temidayo,

      You do not need a password to enter this webinar.
      Once you click on the link, you will be able to enter automatically.

      See you then!

    1. Thank you for this question,
      We hope this was answered during the webinar.
      We are sending out the Questions and Answers document to all attendees soon!
      Best,

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