Calculation of confidence intervals around prevalence estimates was not updated in Anthro Software to take into consideration complex sample designs.Prevalence estimates in Anthro Software include children up to 60.99 months, while in the Anthro Survey Analyser, only children below 60 months are included, to align with the target indicator age group (under 5 years).The main differences between the old standard analysis and the most recent one, are: It should be noted however that, for the module “Nutritional survey”, the methodology for calculating the estimates of prevalence and confidence intervals was still not updated to align with the more recent tool above, the WHO Anthro Survey Analyser. The first two modules concern the calculation of z-scores (or percentiles) for the assessment of individual child’s growth, and thus very pertinent for clinical application.

The software is design for Windows and consists of three modules: i) Anthropometric calculator, ii) Individual assessment, and iii) Nutritional survey. Users are encouraged to read the quick guide carefully before using it. The tool online and offline versions can be accessed from the links below. Outputs include a set of z-scores, a file with prevalence estimates by the various stratification variables following the format in the expanded database, a report template on data quality assessments and a summary report with a template to be filled in with basic required survey information and ready-to-use graphics and tables depicting survey analysis results. The tool is based on R, with Shiny package. standard errors and confidence intervals). Improvements affect only measures of accuracy around estimates (i.e.

The methodology was updated considering the complex sample design of most of the recent surveys, compared to the methodology used in Anthro software (below). It offers analysis for four indicators: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age. The WHO Anthro Survey Analyser aims to promote best practices on data collection, analyses and reporting of anthropometric indicators. To facilitate re-running of nutritional survey data based on standardized approach, WHO has developed an online tool to analyse child anthropometric data.

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