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mwana:An Efficient Workflow for Plausibility Checks and Prevalence Analysis of Wasting in R
A simple and streamlined workflow for plausibility checks and prevalence analysis of wasting based on the Standardized Monitoring and Assessment of Relief and Transition (SMART) Methodology <https://smartmethodology.org/>, with application in R.
Maintained by Tomás Zaba. Last updated 1 months ago.
acute-malnutritionanthropometrymuacnutritionsmartsurveywasting
18.3 match 2 stars 4.23 score 6 scriptsnutriverse
squeacr:Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools
In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SQUEAC, which stands for Semi-Quantitative Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. This package provides functions for use in conducting a SQUEAC investigation.
Maintained by Ernest Guevarra. Last updated 3 months ago.
acute-malnutritioncmamcoveragesqueacsurveywasting
15.0 match 2 stars 4.18 score 6 scripts 1 dependentsnutriverse
sleacr:Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SLEAC, which stands for Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. SLEAC is designed to complement the Semi-quantitative Evaluation of Access and Coverage (SQUEAC) method. This package provides functions for use in conducting a SLEAC assessment.
Maintained by Ernest Guevarra. Last updated 1 months ago.
acute-malnutritioncmamcoveragenutritionsleacwasting
15.0 match 1 stars 3.48 score 5 scripts