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What are the political, economic, social and security implications of the Ebola crisis, with a particular focus on Sierra Leone?
AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
DEPRESSION AND ANXIETY 27 : 390–403 (2010
Accessed April 10, 2019
Front. Med., 27 November 2020 | https://doi.org/10.3389/fmed.2020.594728. The Checklist included eight actions for implementing rural pathways in LMICs: establishing community needs; policies and partners; exploring existing workers and scope; selecting health workers; education and training; workin
...
g conditions for recruitment and retention; accreditation and recognition of workers; professional support/up-skilling and; monitoring and evaluation. For each action, a summary of LMICs-specific evidence and prompts was developed to stimulate reflection and learning. To support implementation, rural pathways exemplars from different WHO regions were also compiled. Field-testing showed the Checklist is fit for purpose to guide holistic planning and benchmarking of rural pathways, irrespective of LMICs, stakeholder, or health worker type.
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Explore best practise in pharmacy, and learn how to start a career as a pharmacist, with these online pharmacy courses from FutureLearn.
This paper introduces a new dataset of official financing—including foreign aid and other forms of concessional and non-concessional state financing—from China to 138 countries between 2000 and 2014. We use these data to investigate whether and to what extent Chinese aid affects economic growth
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in recipient countries. To account for the endogeneity of aid, we employ an instrumental-variables strategy that relies on exogenous variation in the supply of Chinese aid over time resulting from changes in Chinese steel production. Variation across recipient countries results from a country’s probability of receiving aid. Controlling for year- and recipient-fixed effects that capture the levels of these variables, their interaction provides a powerful and excludable instrument. Our results show that Chinese official development assistance (ODA) boosts economic growth in recipient countries. For the average recipient country, we estimate that one additional Chinese ODA project produces a 0.7 percentage point increase in economic growth two years after the project is committed. We also benchmark the effectiveness of Chinese aid vis-á-vis the World Bank, the United States, and all members of the OECD’s Development Assistance Committee (DAC).
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
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alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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With an estimated population of about 5 million and an annual growth rate of 8 per cent, Dar es Salaam, Tanzania, is Africa’s fastest growing city.1 Over 70 per cent of the people live in informal, unplanned settlements with inadequate infrastructure. In addition, heavy rainfalls twice a year
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result in signifi cant fl ood risks. The objectives in Dar es Salaam were to 1) obtain high quality and up to date exposure maps of aff ected communities and as a stretch goal 2) to create a hydrological model using elevation data. Both of these would form important elements to managing fl ood risks but neither had been previously available due to a lack of high quality digital imagery
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Zambia is facing a severe economic crisis marked by high inflation, increasing poverty and a heavy debt burden that is straining both its fiscal stability and progress in health outcomes. By 2020, the country's external debt reached United States dollars (USD) 12.7 billion, representing 108% of the
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country's gross domestic product (GDP). In 2020, Zambia sought assistance through the G20 Common Framework and the International Monetary Fund (IMF) Extended Credit Facility (ECF), securing a USD 1.7 billion loan over 5 years. IMF loans, however, come with austerity measures that prioritise fiscal discipline but could potentially exacerbate social inequalities. These measures, which include increasing consumer taxes on goods and services (value added taxes - VATs), electricity tariffs and fuel prices, disproportionately impact vulnerable populations, raising concerns about their long-term effects on essential services, especially accessible and good quality healthcare services.
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