1526 98 8257 2 38875 document 8257 Muskoka2-290120v2.xlsb application/zip 2f712d957d618071be96939e5b05e663 MD5 186757066 2020-03-24 21:30:43 https://datacompass.lshtm.ac.uk/id/eprint/1526/3/Muskoka2-290120v2.xlsb 1526 3 3 application/zip Dataset en public cc_by_nc

Muskoka2-290120v2.xlsb

data indefinite Muskoka2 estimates of aid for RMNCH, 2002-2017 (with logos); Excel spreadsheet archive 207 disk0/00/00/15/26 2020-01-27 12:46:41 2025-12-18 11:10:09 2020-03-25 10:43:25 data_collection show Dingle Antonia TRUE Schaeferhoff Marco FALSE Borghi Josephine TRUE 8ee4cf6bd9fee58da1109282d9130be9 Lewis Sabin Miriam FALSE Arregoces Leonardo TRUE c5dfd9b463aa86f5edd5455dadb2346a Martinez-alvarez Melisa 0000-0003-4020-7527 TRUE 7d4186b9aa8050bb7e1157b25fb87022 Pitt Catherine 0000-0003-4967-8966 TRUE 8dc5d9d7ed6e22e5fbe2cc97c7f8680d London School of Hygiene & Tropical Medicine, London, United Kingdom Open Consultants Partnership for Maternal, Newborn, and Child Health PHGH Maternal and Newborn Health Reproductive Health Child health Financing Low- and middle-income countries Official Development Assistance Accountability Funding LMIC Maternal health Maternal and child health This dataset combines several existing source datasets. The copyright for each source dataset is held by the publishing institution. All are free to use for any purpose with acknowledgement, except for IHME data [#5 below], which is restricted to non-commercial use. [1] The OECD's Creditor Reporting System (CRS) and "Members total use of the multilateral system" datasets: https://stats.oecd.org/Index.aspx?DataSetCode=CRS1 (accessed January 2019). [2] The World Bank's World Development Indicators: http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#advancedDownloadOptions (accessed 29 September 2018). [3] The World Health Organization Global Health Expenditure Database (data obtained via World Development Indicators). [4] The United Nations Population Division of the Department of Economic and Social Affairs' World Population Prospects 2017: https://population.un.org/wpp/Download/Standard/CSV/ (accessed 11 October 2018). [5] The Institute for Health Metrics and Evaluation's Global Burden of Disease data: http://ghdx.healthdata.org/gbd-results-tool (accessed 29 December 2018). The MS Excel file provides Muskoka2 estimates of aid for reproductive, maternal, newborn, and child health (RMNCH) over the period 2002-17 as reported in Dingle et al (2020). The Excel file includes the main reported figures, and the analyses, data, and assumptions underlying the reported figures. The Muskoka2 method responds to donors' and other stakeholders' request for a single, agreed method which produces accurate, predictable, transparent and up-to-date estimates that can be used for analyses from both donor and recipient perspectives. Future iterations of the Excel workbook will provide additional user-friendly guidance and updated estimates. This is v1.4 (24 March 2020), which includes additional logo graphics. 2020-03-24 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00001526 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom The World Bank, Washington, D.C., USA The United Nations Population Division of the Department of Economic and Social Affairs, New York, USA Organisation for Economic Co-operation and Development, Paris, France Institute for Health Metrics and Evaluation, Seattle, Washington, USA Centre for Health Economics in London (CHiL) Aggregation http://purl.org/dc/terms/isPartOf /id/eprint/2273 Pitt Catherine Catherine.Pitt@lshtm.ac.uk 0000-0003-4967-8966 TRUE 8dc5d9d7ed6e22e5fbe2cc97c7f8680d UT-UWZ-RH UW-UWC UXC-UXU UXB-Newborn CBTZ ZVM-CD public London, United Kingdom Bill and Melinda Gates Foundation Bill and Melinda Gates Foundation Dataset Quantitative This dataset combines several existing source datasets: [1] The OECD's Creditor Reporting System (CRS) and "Members total use of the multilateral system" datasets, [2] The World Bank's World Development Indicators, [3] The World Health Organization Global Health Expenditure Database, [4] The United Nations Population Division of the Department of Economic and Social Affairs' World Population Prospects 2017, [5] The Institute for Health Metrics and Evaluation's Global Burden of Disease data. OPP1148933 en https://stats.oecd.org/Index.aspx?DataSetCode=CRS1 data http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#advancedDownloadOptions data http://ghdx.healthdata.org/gbd-results-tool data https://population.un.org/wpp/Download/Standard/CSV/ data https://apps.who.int/nha/database data https://researchonline.lshtm.ac.uk/id/eprint/4661418 Bill and Melinda Gates Foundation OPP1148933 http://dx.doi.org/10.13039/100000865 Bill and Melinda Gates Foundation NVF‐NGDF‐JOH32 http://dx.doi.org/10.13039/100000865 Bill and Melinda Gates Foundation OPP1148933 http://dx.doi.org/10.13039/100000865 Bill and Melinda Gates Foundation NVF‐NGDF‐JOH32 http://dx.doi.org/10.13039/100000865 2020-03-24