Categories: U.S. Policy and FundingTags: Anita Dakar, Futures Group, Health Policy Project, Master Health Facility ListDo countries have accurate information on where health facilities are located? The following is a guest post from Anita Datar of Health Policy Project, telling how answering that question is essential to good governance, health system performance, and emergency responses, and why competent, accurate mapping and updating of Master Health Facility Lists is still a […](Read more…)
This week, the Institute for Health Metrics and Evaluation (IHME) at the University of Washington released a series of incredible new data visualizations. These tools Read More
Background: Malaria in coastal Kenya shows spatial heterogeneity and seasonality, which are important factors to account for when planning an effective control system.
Background: The population-based mammography screening program (MSP) was implemented by the end of 2005 in Germany, and all women between 50 and 69 years are actively invited to a free biennial screening examination.
Five years ago, PATH and its partners introduced a new vaccine across a sub-Saharan region in Africa known as the “meningitis belt.” MenAfriVac® is the first vaccine developed specifically for Africa. It protects against meningitis epidemics of a particularly insidious kind (group A meningococcal meningitis), which can cause severe brain damage or long-term disabilities such […] ; ; ; ;Related StoriesKeeping development relevant during the innovation crazeTransferring the malaria batonBarcodes: quenching a thirst for data ;
Join AidData for a webinar discussing our latest report, Listening to Leaders: Which Development Partners Do They Prefer and Why?, on Thursday, November 19th from 10:00 AM EST to 11:00 AM EST.
Today marks an important milestone for AidData: we’re going public with our Data Management Plan (DMP). Why is this significant? It’s a public commitment from AidData to our users on what they can reasonably expect of us in terms of when and how we will collect, clean, standardize, and update data.
Last week, we released AidData’s Listening to Leaders report which sought to a answer the question: which development partners do leaders in low- and middle-income countries prefer and why? The report has already attracted far more attention than we expected. It is stirring discussion, debate,
It was the mid-1970s, the early years of my professional career, and the world was recovering from the first malaria eradication campaign. This ambitious proposal to attack malaria was quietly abandoned for a variety of reasons, but largely due to inconsistent funding challenges and a monolithic technical strategy, namely indoor residual spraying with the synthetic […] ; ; ; ;Related StoriesBarcodes: quenching a thirst for dataKeeping development relevant during the innovation crazeFriday Think: a new way to grow food ;
ONE/Thomson Reuters Foundation: Crunching data and sowing seeds of change to reach zero hunger Eloise Todd, global policy director for The ONE Campaign “…Currently no resource exists for the global-citizen to track progress toward meeting Sustainable Development Goal 2 (SDG2, zero hunger). Mapping needs, tracking resources to results, and analyzing policies is essential to reach…More
Project Syndicate: Putting Public Health on the Map Christopher J.L. Murray, professor of global health at the University of Washington and director of the Institute for Health Metrics and Evaluation “…[The Global Burden of Disease (GBD) project] could do more to inform policy debates and spur action to improve health if it were able to…More
Foreign aid donors are quick to assess the performance of other countries and dispense policy advice, but how well do these “development partners” stack up when rated by leaders in the countries they are trying to help? According to new research released today by AidData, multilaterals like the World Bank do well, the big bilaterals not as well, while the emerging donors lag behind.
To engage in social science research is to contend with imperfect information, uncertainty and human error on occasion. Conducting research on international development finance is no exception; even the data that donor institutions themselves vet and publish contain errors, biases, and inconsistencies.
Since the January 2014 release of the 1.1 version of AidData’s Chinese Official Finance to Africa dataset, our Tracking Underreported Financial Flows (TUFF) team has substantially refined its methods and expanded the scope its data collection efforts. Last week, we released our 1.2 dataset and TUFF methodology updates, reflecting these changes. So,
Editor’s note: This article was originally published in a modified form, Many in the West fear Chinese ‘aid’ to Africa. They’re wrong. Here’s why,” on the Washington Post’s Monkey Cage blog on October 20, 2015. Source: china.aiddata.org
Editor’s note: This article was originally published in a modified form, Many in the West fear Chinese ‘aid’ to Africa. They’re wrong. Here’s why,” on the Washington Post’s Monkey Cage blog on October 20, 2015.