141 to 150 of 908 Results
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Integrated Management of Childhood Illness (IMCI) Case Observation", https://doi.org/10.7910/DVN/6Q8SEP, Harvard Dataverse, V1, UNF:6:WNPVWp4iAIWWH8MHxgadGA== [fileUNF]
This dataset is the result of the Case Observation survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nutritional... |
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Integrated Management of Childhood Illness (IMCI) Client Interview", https://doi.org/10.7910/DVN/8Y7T53, Harvard Dataverse, V1, UNF:6:0wvhwV9KGoXFbavovQGWlQ== [fileUNF]
This dataset is the result of the Client Interview survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nutritional... |
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Antenatal Care Client Interview", https://doi.org/10.7910/DVN/TPARQZ, Harvard Dataverse, V1, UNF:6:1RO9sMM2kiK6ZB6S26yBwA== [fileUNF]
This dataset is the result of the Client Interview survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nutritional... |
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Health Facility Assessment", https://doi.org/10.7910/DVN/QNFZVC, Harvard Dataverse, V1, UNF:6:DoMvXlgkNjC0B+DZgSWroQ== [fileUNF]
This dataset is the result of the Health Facility Assessment survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nu... |
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Healthcare Provider", https://doi.org/10.7910/DVN/1QVGI9, Harvard Dataverse, V1, UNF:6:ktUYb4okAa7Y53YGcfXrMQ== [fileUNF]
This dataset is the result of the Healthcare Provider survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nutrition... |
May 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "A&T Bangladesh Urban Maternal Nutrition Endline Survey 2022: Antenatal Care Case Observation", https://doi.org/10.7910/DVN/XFJUUG, Harvard Dataverse, V1, UNF:6:TL/LQrRAt+PCuVCeULSv5Q== [fileUNF]
This dataset is the result of the Case Observation survey that was conducted to gather data for the endline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neonatal and Child Health (MNCH) Services in Bangladesh. These include building capacity for health providers and nutritional... |
Apr 20, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "Replication Data for “Learning Together: Experimental Evidence on the Impact of Group-Based Nutrition Interventions in Rural Bihar"", https://doi.org/10.7910/DVN/IXOLND, Harvard Dataverse, V1, UNF:6:O1tjmaGCVNcpdTtTCg5PhQ== [fileUNF]
This dataset contains baseline (2016) and endline (2018) data from a two-round panel dataset that focuses on 2246 rural women from 24 gram panchayats (GPs) in three blocks of the eastern Indian state of Bihar. The sampling of these women was based on two eligibility criteria: (1) they or someone in their household must be a member of a Self-Help Gr... |
Apr 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Endline Survey", https://doi.org/10.7910/DVN/MBRDZ7, Harvard Dataverse, V1, UNF:6:TcXVNs+KZ2suQeq0gYD93g== [fileUNF]
The Strengthen PSNP4 Institutions and Resilience (SPIR) Development Food Security Activity (DFSA) in Ethiopia was a five-year project (2016-2021) supporting the implementation of the fourth phase of the Productive Safety Net Programme (PSNP4) as well as providing complementary livelihood, nutrition, gender, and climate resilience activities to stre... |
Apr 19, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "Strengthen PSNP4 Institutions and Resilience (SPIR), Ethiopia: Midline Survey", https://doi.org/10.7910/DVN/QDOZPM, Harvard Dataverse, V1, UNF:6:bbXu5uO9khVZUu/lqUpuZA== [fileUNF]
The Strengthen PSNP4 Institutions and Resilience (SPIR) Development Food Security Activity (DFSA) in Ethiopia was a five-year project (2016-2021) supporting the implementation of the fourth phase of the Productive Safety Net Programme (PSNP4) as well as providing complementary livelihood, nutrition, gender, and climate resilience activities to stre... |
Apr 6, 2023 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2023, "Myanmar Agricultural Performance Survey (MAPS), Round 1", https://doi.org/10.7910/DVN/SPMYR4, Harvard Dataverse, V1, UNF:6:AJGtQ4N7nI/leWu8XIggmQ== [fileUNF]
The Myanmar Agricultural Performance Survey (MAPS) is a nationwide phone panel consisting of approximately 5,500 households. The objective of the survey is to collect data on farm characteristics and agricultural assets, area and crops planted, access to inputs, crop marketing, and constraints in agricultural activities. The respondents interviewed... |