openwashdata/thyolocbcc

This dataset provides detailed information on Water, Sanitation, and Hygiene (WASH) conditions and related management practices in Community-Based Childcare Centres (CBCCs) across Thyolo and Chikwawa Districts in Malawi, collected in 2021. # WASH and Sanitation Survey in Community-Based Childcare Centres – Thyolo and Chikwawa, Malawi (2021) This dataset provides detailed information on Water, Sanitation, and Hygiene (WASH) conditions and related management practices in Community-Based Childcare Centres (CBCCs) across Thyolo and Chikwawa Districts in Malawi, collected in 2021. Data were gathered by BASEflow using the mWater digital data collection platform. The dataset contains metadata about the survey, including the geographical location of CBCCs, water sources and their functionality, sanitation infrastructure, hygiene practices, governance and management structures, funding mechanisms, cleanliness levels, and the availability of hygiene education and promotional materials. Intended Users and Applications 1. Local Government and Health Authorities: To monitor WASH conditions, inform resource allocation, and design targeted interventions within Thyolo’s CBCCs. 2. CBCC Management and Caregivers: To identify gaps and improve maintenance, hygiene practices, and infrastructure. 3. NGOs and Development Partners: To support planning, implementation, and evaluation of WASH programs aligned with community needs and WHO standards. 4. Researchers and Policy Makers: To study the relationship between WASH facilities and child health outcomes for evidence-based decision-making. 5. Donors and Funders: To assess infrastructure needs and measure impact of funded WASH initiatives. ## Installation You can install the development version of thyolocbcc from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/thyolocbcc") ``` ``` r ## Run the following code in console if you don't have the packages ## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra")) library(dplyr) library(knitr) library(readr) library(stringr) library(gt) library(kableExtra) ``` Alternatively, you can download the individual datasets as a CSV or XLSX file from the …