A guide to protocol development for low-income countries
Методы исследования в целях укрепления здоровья легких
Руководство по документированию развития для стран с низким уровнем дохо...а
Международный Союз по борьбе с туберкулезом и заболеваниями легких
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Amoris laetitia: Post-Synodal Apostolic Exhortation on love in the family (19 March 2016)
Letter of the holy father
A systematic review of randomized controlled efficacy trials | REPORT -
DEPARTMENT OF CHILD AND ADOLESCENT HEALTH AND DEVELOPMENT
Стратегия народосбережения в Российской Федерации — один из основных документов государственной социальной политики. Она может быть реализована различными путя...ми, в частности увеличением продолжительности жизни представителей старшего поколения. Анализ концепций старения и гендерных особенностей процесса старения, дискурс-анализ практики формирования социального и психического здоровья женщин старшего поколения позволили выделить типологию основных социальных проблем этой возрастной группы.
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21.12.2020
Available in English, Spanish, Italian and Portuguese
March 28, 2017https://doi.org/10.1371/journal.pmed.1002274
PLoS Med 14(3): e1002274. https://doi.org/10.1371/journal.pmed.1002274
Exhortation Apostolique sur l' amour dans la famille (2016)
Lettre du Saint-Pére Francois
Apostolic Exhortation Evangelii Gaudium of the Holy Father Francis to the Bishops, Clergy, Consecrated Persons and the lay faithul on the proclamation of the gospel in the today`s world
A guide to protocol development for low-income countries
Recomendaciones para la eleboració de protocolos en países de bajos ingresos
Guide pour l’élaboration de protocoles de recherche dans les pays à faibles revenus
Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among... high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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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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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. We initially employed these methods to achieve a specific objective: documenting the known universe of officially fin...anced Chinese projects in Africa (Strange et al. 2013, 2017). We have since then employed these methods to track Chinese official finance to five major world regions: Africa, the Middle East, Asia and the Pacific, Latin America and the Caribbean, and Central and Eastern Europe (Dreher et al. 2017). Additionally, other social scientists have adapted and applied the TUFF methodology to identify grants and loans from Gulf Cooperation Council (GCC) members (Minor et al. 2014), under-reported humanitarian assistance flows from traditional and non-traditional sources (Ghose 2017), foreign direct investment from Western and non-Western sources (Bunte et al. 2017), and pre-2000 foreign aid flows from China (Morgan and Zheng 2017). However, this codebook focuses specifically on TUFF data collection and quality assurance procedures to track Chinese official finance between 2000 and 2014.
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Little is known about foreign aid provided by private donors. This paper contributes to closing this research gap by comparing the allocation of private humanitarian aid to that of official humanitarian aid awarded to 140 recipient countries over the 2000-2016 period. We construct a new database tha...t offers information on the country in which the headquarters of private donors are located to test whether private donors follow the aid allocation pattern of their home country. Our empirical results confirm that private aid “follows the flag.” This finding is robust against the inclusion of various fixed effects, estimating instrumental variables models, and disaggregating private aid into corporate aid and NGO aid. Donor country-specific estimations reveal that private aid from China, Sweden, the United Kingdom, and the United States “follow the flag.”
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