L’analyse des besoins humanitaires en Haïti a révélé que plus de 4,4 millions d’Haïtiens et d’Haïtiennes, soit environ 40% de la population, auront besoin d’une assistance humanitaire en 2021.
Le paludisme, appelé également malaria, ou « Mal‘aria », ce qui signifie « mauvais air
», est une maladie qui menace 3 milliards de personnes dans 99 pays dans le monde.1
Les personnes les plus vulnérables sont les jeunes enfants et les femmes enceintes,
car c’est parmi cette populatio...n que le risque de décès est le plus élevé.2
Au Bénin, le paludisme représente environ 41% des motifs de recours aux soins et
première cause de consultation, d’hospitalisation et de décès parmi la population en 2012
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Guide et outils pour les professionnels de santé
AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outlines the version 1.1 set of TUFF procedures that have been developed, tested, refined, and implemented... by AidData researchers and affiliated faculty at the College of William & Mary and Brigham Young University.
In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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