ingest cdrApp 2017-08-15T23:15:48.368Z d91e81c8-5a8a-4e8a-976c-cad4e396e5ee modifyDatastreamByValue RELS-EXT fedoraAdmin 2017-08-15T23:16:15.873Z Setting exclusive relation modifyDatastreamByValue RELS-EXT fedoraAdmin 2017-08-15T23:16:24.946Z Setting exclusive relation addDatastream MD_TECHNICAL fedoraAdmin 2017-08-15T23:16:34.030Z Adding technical metadata derived by FITS modifyDatastreamByValue RELS-EXT fedoraAdmin 2017-08-15T23:16:52.240Z Setting exclusive relation addDatastream MD_FULL_TEXT fedoraAdmin 2017-08-15T23:17:02.531Z Adding full text metadata extracted by Apache Tika modifyDatastreamByValue RELS-EXT fedoraAdmin 2017-08-15T23:17:20.603Z Setting exclusive relation modifyDatastreamByValue RELS-EXT cdrApp 2017-08-22T14:00:13.751Z Setting exclusive relation modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-01-25T03:30:23.282Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-01-27T04:09:13.115Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-03-13T23:58:29.908Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-05-16T21:33:05.174Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-07-10T22:28:23.317Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-07-17T18:35:32.936Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-08-08T18:02:04.138Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-08-15T15:10:01.685Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-08-16T18:12:56.820Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-09-21T15:41:00.244Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-09-26T18:47:39.637Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2018-10-11T19:28:08.207Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2019-02-28T02:57:42.404Z modifyDatastreamByValue MD_DESCRIPTIVE cdrApp 2019-03-19T22:15:04.758Z Ryan Cronk Author Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. Summer 2017 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. Summer 2017 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. Summer 2017 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017-08 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Pete Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Pete Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 University of North Carolina at Chapel Hill Degree granting institution Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene; low- and middle-income countries; sanitation; water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Peter Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Using monitoring data to identify water and sanitation service delivery improvement opportunities in low- and middle-income countries Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene, low- and middle-income countries, sanitation, water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Pete Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene; low- and middle-income countries; sanitation; water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Environmental Sciences and Engineering Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Pete Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Ryan Cronk Creator Department of Environmental Sciences and Engineering Gillings School of Global Public Health Universal access to basic sanitation and water services and their progressive improvement are important for human development, health, and human rights; and are recognized in program, national, and international policies such as the Sustainable Development Goals (SDGs). Monitoring data are important for measuring progress toward universal access and improvements in service levels. In the SDG era, substantially more data will become available with new and expanded monitoring. These data can be analyzed beyond their immediate purpose to answer policy-relevant questions. However, these data are underused for service delivery research and there are opportunities to improve the reliability and quality of monitoring. To address these challenges, I analyzed monitoring data to identify opportunities to improve monitoring and water and sanitation service delivery. Using water supply infrastructure data from sub-Saharan Africa and Central America, Bayesian networks predicted water system functionality and continuity increased by as many as 20 percentage points when best-observed conditions were in place. I systematically compiled health care facility (HCF) datasets to produce the first coverage estimates for 21 indicators of environmental conditions in HCFs in low- and middle-income countries, where 52% of HCFs lack piped water and 30% lack improved sanitation. Statistically significant inequalities in coverage exist between HCFs by urban-rural setting, managing authority, facility type, and administrative unit. Using frontier analysis, I transformed household monitoring data into indicators of water and sanitation performance. Water and sanitation performance analysis provides policymakers with a new accountability instrument for assessing country progress on meeting full realization of human rights obligations. There are many simple data collection improvement opportunities that do not add substantial cost or burden which would make monitoring data more valuable for service delivery research. Improvement opportunities include the use of: relevant and appropriate survey questions, clear definitions, and quality assurance/quality control measures. Together, these studies demonstrate substantial, unrealized value that can be derived from monitoring. Monitoring improvements and analysis of these data are major opportunities to make better use of limited resources, inform evidence-based decision-making for better management, policy, programming, and practice, and improve water and sanitation service delivery. 2017 Environmental engineering Public health hygiene; low- and middle-income countries; sanitation; water eng Doctor of Philosophy Dissertation University of North Carolina at Chapel Hill Graduate School Degree granting institution Jamie Bartram Thesis advisor Clarissa Brocklehurst Thesis advisor Richard Johnston Thesis advisor Pete Kolsky Thesis advisor Mark Sobsey Thesis advisor text 2017-08 Cronk_unc_0153D_17210.pdf uuid:c27f333e-bcb5-49ce-ae54-ace44138e3da 2019-08-15T00:00:00 2017-07-27T10:37:12Z proquest application/pdf 4005657 yes