Many local-level issues have direct parallels within broader transnational and global trends. Using practical examples, this article will share the learning from policy development for England within the broader European context, focusing particularly on the changing partnership dynamics and the opportunities afforded for policy development by the new communications technologies.
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| http://dx.doi.org/10.1016/j.puhe.2008.03.013 | DOI Listing |
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Intersection between individual, household, environmental and system level factors in defining risk and resilience for children in Kenya's ASAL: A qualitative study.
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Institute for Human Development, Aga Khan University, Nairobi, Kenya.
Introduction: Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges.
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Business School, Huaqiao University, Quanzhou, Fujian, China.
Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms.
View Article and Find Full Text PDFIntroduction: The prevalence of epilepsy in sub-Saharan Africa varies considerably, and the exact estimate for Ghana remains unclear, particularly in peri-urban areas where data are scarce. More community-based studies are required to understand better the actual burden of epilepsy in these areas and the difficulties in accessing healthcare.
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Self-reports are used ubiquitously to probe people's thoughts, feelings, and behaviors and inform medical decisions, enterprise operations, and government policy and legislation. Despite their pervasive use, self-report measures such as Likert scales have a profound problem: Standard analytic approaches do not control for the confounding effects of idiosyncratic response biases. Here, we present a model-based solution to this problem.
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