4 resultados para besoins

em Bioline International


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Mungbean ( Vigna radiata (L.) Wilczek) is an important source of nutrients and income for smallholder farmers in East Africa. Mungbean production in countries like Uganda largely depends on landraces, in the absence of improved varieties. In order to enhance productivity, efforts have been underway to develop and evaluate mungbean varieties that meet farmers’ needs in various parts of the country. This study was conducted at six locations in Uganda, to determine the adaptability of introduced mungbean genotypes, and identify mungbean production mega-environments in Uganda. Eleven genotypes (Filsan, Sunshine, Blackgram, Mauritius1, VC6148 (50-12), VC6173 (B-10),Yellowmungo, KPS1, VC6137(B-14),VC6372(45-60),VC6153(B-20P) and one local check were evaluated in six locations during 2013 and 2014. The locations were; National Semi Arid Resources Research Institute (NaSARRI), Abi Zonal Agricultural Research and Development Institute (AbiZARDI),Kaberamaido variety trial center, Kumi variety trial center, Nabuin Zonal Agricultural Research and Development Institute (NabuinZARDI), and Ngetta Zonal Agricultural Research and Development Institute (NgettaZARDI). G × E interactions were significant for grain yield. Through GGEBiplot analysis, three introduced genotypes (Filsan, Blackgram and Sunshine) were found to be stable and high yielding, and therefore, were recommended for release. The six test multi-locations were grouped into two candidate mega-environments for mungbean production (one comprising of AbiZARDI and Kaberamaido and the other comprising of NaSARRI, NabuinZARDI, Kumi, and NgettaZARDI). National Semi Arid Resources Research Institute (NaSARRI) was the most suitable environment in terms of both discriminative ability and representativeness and therefore can be used for selection of widely adaptable genotypes.

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This paper explores the factors associated with the place of death in Burkina Faso, based on mortality data from the Kaya Health and Demographic Surveillance System (Kaya HDSS). A multilevel logistic regression model with random intercept is used to determine the factors associated with the place of death. More than half of the deaths (55%) occur at home. Age, place of residence, distance to the health care centre and cause of death are statistically associated with the place of death. Seniors (50 and over) are more likely to die at home compared to other age grous (66.81 % against 35.9 % for 5-14 years and 44.9 among children under 5 years, p = 0.001). The multivariate results confirm the effect of age, place of residence, living standards quintile and cause of death. The high proportion of deaths occurring at home challenges policy makers in the health care system and calls for programs to adapt the supply of heath care.

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Les enjeux de développement en rapport avec la santé urbaine des enfants en Afrique sub-saharienne deviennent d’autant plus importants qu’on a eu à observer dans certaines villes un paradoxe sanitaire se traduisant par une mortalité relativement plus élevée que celle du milieu rural. En outre, concilier la croissance rapide des villes africaines avec l’objectif d’un environnement sanitaire adéquat et adapté à l’ampleur et à la diversité des besoins relève du défi. Cet article propose un état des lieux critique de la littérature sur la santé urbaine, à travers une synthèse de 82 travaux scientifiques portant sur les relations entre dynamiques urbaines et sanitaires. L’étude accorde un regard particulier à la santé des enfants en Afrique subsaharienne francophone. Cette synthèse met en évidence les points de convergences et de divergences de santé urbaine, et aborde aussi, sous un angle critique, les aspects méthodologiques. Elle met en évidence une pluralité de situations sanitaires urbaines, ainsi que la complexité des mécanismes explicatifs des relations entre dynamique urbaine et santé des populations.

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Poverty is a multi-dimensional socio-economic problem in most sub-Saharan African countries. The purpose of this study is to analyse the relationship between household size and poverty in low-income communities. The Northern Free State region in South Africa was selected as the study region. A sample of approximately 2 900 households was randomly selected within 12 poor communities in the region. A poverty line was calculated and 74% of all households were found to live below the poverty line. The Pearson’s chi-square test indicated a positive relationship between household size and poverty in eleven of the twelve low-income communities. Households below the poverty line presented larger households than those households above the poverty line. This finding is in contradiction with some findings in other African countries due to the fact that South Africa has higher levels of modernisation with less access to land for subsistence farming. Effective provision of basic needs, community facilities and access to assets such as land could assist poor households with better quality of life. Poor households also need to be granted access to economic opportunities, while also receiving adult education regarding financial management and reproductive health.