Data for Children Collaborative’s Nutrition Team Publishes Report on Correcting Wasting Prevalence for Seasonal Variation
Data for Children Collaborative’s nutrition team released a report concluding phase 2 of the SEASNUT project, which initially investigated the impact of seasonality on nutrition surveys and its potential impact on wasting scores.
As a part of extended work in this area, the recent report titled: “Correcting Observed Wasting Prevalence for Seasonal Variation Using Nonparametric Modelling” introduces an innovative, data-driven protocol to address the prediction of seasonal fluctuations in observed wasting prevalence, a challenge for accurate global monitoring and Sustainable Development Goal (SDG) reporting.
By delivering corrected, data-driven estimates, the report enhances the accuracy of global nutrition reporting and SDG monitoring. It emphasises the importance of tailored local analysis while offering scalable solutions that can be applied globally.
The full report is now available for stakeholders and researchers seeking to explore, validate, and extend this innovative framework.