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The Water Institute is a vibrant, interdisciplinary center that unites faculty, students, and partners from North Carolina and from across high- and low-income nations worldwide. We create partnerships to better understand what works and to develop effective, innovative solutions in improving water, sanitation, and hygiene for equitable health and human development.
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1 to 10 of 31 Results
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/L6J30J, UNC Dataverse, V1, UNF:6:rsoNVg26VMdKiB/I5tyV8g== [fileUNF]
This data was generated from a 14-country evaluation of rural outpatient healthcare facilities, and describes water service, sanitation facilities, hygiene facilities, healthcare waste management, administration and training, and satisfaction with services. The evaluation was con...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Schools Deidentified Survey Data", https://doi.org/10.15139/S3/NHCTI2, UNC Dataverse, V1, UNF:6:vgI8k9MWfDs1394xAHOUoA== [fileUNF]
This data was generated from a 14-country evaluation of rural schools, and describes water service, sanitation facilities, hygiene facilities and practices, waste management, school management, and satisfaction with services. The evaluation was conducted in World Vision WaSH prog...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Water Point and Community Deidentified Survey Data", https://doi.org/10.15139/S3/J3IVUG, UNC Dataverse, V1, UNF:6:TFsiu1aYsb3kh04eEWq4tA== [fileUNF]
This data was generated from a 14-country evaluation of rural water points and describes water service, water quality, and characteristics of the communities where water points are located. The evaluation was conducted in World Vision WaSH program areas, as well as comparison are...
Jan 10, 2020 - World Vision 14-Country Evaluation Dataverse
The Water Institute at UNC; World Vision Inc., 2020, "Household Deidentified Survey Data", https://doi.org/10.15139/S3/XALHIY, UNC Dataverse, V1, UNF:6:z6GQnWb8hzIT0P9jXAEi3A== [fileUNF]
This data was generated from a 14-country evaluation of rural households, and describes household characteristics, water service and use; sanitation behaviors and facilities; hygiene behaviors and facilities; and cleanliness. The evaluation was conducted in World Vision WaSH prog...
World Vision 14-Country Evaluation Dataverse(University of North Carolina at Chapel Hill)
Jan 10, 2020
This dataverse contains data from households, communities/water points, schools, and healthcare facilities, collected in a 14-country evaluation of World Vision's water, sanitation, and hygiene (WaSH) programs. This includes data from rural sub-national areas of Ethiopia, Ghana,...
Sep 21, 2017 - World Vision 10-Country Evaluation Dataverse
Georgia Kayser; Amy Guo; Ronna Chan; Mike Bowling; The Water Institute at UNC, 2017, "Kenya Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/BOAVSF, UNC Dataverse, V1, UNF:6:wICMjk0KdqXTawyVjsdCEg== [fileUNF]
This data was generated from a ten-country baseline evaluation of rural healthcare facilities. The evaluation was designed and led by The Water Institute at the University of North Carolina. The study conducted in Kenya in 2014 evaluated World Vision Kenya's WaSH program areas, a...
Sep 21, 2017 - World Vision 10-Country Evaluation Dataverse
Georgia Kayser; Amy Guo; Ronna Chan; Mike Bowling; The Water Institute at UNC, 2017, "Rwanda Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/3DQT1M, UNC Dataverse, V1, UNF:6:b5hHiwRo8Vmx1/j3T5YEYA== [fileUNF]
This data was generated from a ten-country baseline evaluation of rural healthcare facilities. The evaluation was designed and led by The Water Institute at the University of North Carolina. The study conducted in Rwanda in 2014 evaluated World Vision Rwanda's WaSH program areas,...
Sep 21, 2017 - World Vision 10-Country Evaluation Dataverse
Georgia Kayser; Amy Guo; Ronna Chan; Mike Bowling; The Water Institute at UNC, 2017, "Uganda Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/JK1MM6, UNC Dataverse, V1, UNF:6:nzu5CyFkQ6+AbnSoCr46Hw== [fileUNF]
This data was generated from a ten-country baseline evaluation of rural healthcare facilities. The evaluation was designed and led by The Water Institute at the University of North Carolina. The study conducted in Uganda in 2014 evaluated World Vision Uganda's WaSH program areas,...
Sep 21, 2017 - World Vision 10-Country Evaluation Dataverse
Georgia Kayser; Amy Guo; Ronna Chan; Mike Bowling; The Water Institute at UNC, 2017, "Ethiopia Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/OPGY6B, UNC Dataverse, V1, UNF:6:T9R6LsEBF2cnqXgzD3W0eg== [fileUNF]
This data was generated from a ten-country baseline evaluation of rural healthcare facilities. The evaluation was designed and led by The Water Institute at the University of North Carolina. The study conducted in Ethiopia in 2014 evaluated World Vision Ethiopia's WaSH program ar...
Sep 21, 2017 - World Vision 10-Country Evaluation Dataverse
Georgia Kayser; Amy Guo; Ronna Chan; Mike Bowling; The Water Institute at UNC, 2017, "Malawi Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/NIV0A7, UNC Dataverse, V1, UNF:6:MJu1pCu5IikRTwlmIg9MuQ== [fileUNF]
This data was generated from a ten-country baseline evaluation of rural healthcare facilities. The evaluation was designed and led by The Water Institute at the University of North Carolina. The study conducted in Malawi in 2014 evaluated World Vision Malawi's WaSH program areas,...
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