survey_data

SLEAC survey data from Sierra Leone

datasets

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.

Ernest Guevarra

sleacr

Simplified Lot Quality Assurance Sampling Evaluation of Access
and Coverage (SLEAC) Tools

Mark Myatt

survey_data function

A tibble with 14 rows and 6 columns<table class="table">
<tr><td>Variable</td><td>Description</td></tr>
<tr><td>country</td><td>Country</td></tr>
<tr><td>province</td><td>Province</td></tr>
<tr><td>district</td><td>District</td></tr>
<tr><td>cases_in</td><td>SAM cases found who are in the programme</td></tr>
<tr><td>cases_out</td><td>SAM cases found who are not in the programme</td></tr>
<tr><td>rec_in</td><td>Recovering SAM cases in the programme</td></tr>
<tr><td>cases_total</td><td>Total number SAM cases found</td></tr>
</table>

Format

SLEAC survey data from Sierra Leone — survey_data

A tibble with 14 rows and 6 columns<table class='table'>
<tr><td>Variable</td><td>Description</td></tr>
<tr><td>country</td><td>Country</td></tr>
<tr><td>province</td><td>Province</td></tr>
<tr><td>district</td><td>District</td></tr>
<tr><td>cases_in</td><td>SAM cases found who are in the programme</td></tr>
<tr><td>cases_out</td><td>SAM cases found who are not in the programme</td></tr>
<tr><td>rec_in</td><td>Recovering SAM cases in the programme</td></tr>
<tr><td>cases_total</td><td>Total number SAM cases found</td></tr>
</table>

Variable	Description
country	Country
province	Province
district	District
cases_in	SAM cases found who are in the programme
cases_out	SAM cases found who are not in the programme
rec_in	Recovering SAM cases in the programme
cases_total	Total number SAM cases found

survey_data: SLEAC survey data from Sierra Leone

Description

Usage

Arguments

Format

Examples