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The key role of socio-demographic and socio-environmental factors in urban malaria occurrence and control - An illustration using the city of Yaounde

机译:社会人口统计学和社会环境因素在城市疟疾发生和控制中的关键作用 - 使用雅温县市的插图

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摘要

Cities in developing countries are experiencing an unprecedented population growth that illustrates a demographic transition and a shift towards modernization with consequences on their epidemiological profiles. However, this change is characterized by an important rural-to-urban social and cultural transfer that can bias the expected epidemiological transition; at the same time, this transfer renders the understanding of the occurrence of communicable diseases more complex than it appears. Urban malaria occurrence was modeled for the city of Yaounde in Cameroon. Retrospective interviews were conducted to describe a variety of epidemiological, social and environmental variables at the household level. Various ecological variables originating from remote sensing data were also integrated. Multivariate multilevel negative binomial analyses were developed to evaluate the distinct contributions of explanatory social and ecological variables. Spatial models based on the level of urbanity were implemented to understand the intelligence of urban malaria as characterized by those variables. The results showed an overall higher statistical importance of socio-environmental variables, particularly those describing rural origin socio-cultural features in terms of non-conventional housing types and urban agriculture (UA). The spatial patterns of the urban malaria occurrences displayed a complex combination of population density gradients and socio-environmental factors, illustrating the importance of conventional urban features over rural/non-conventional features in reducing the occurrence of urban malaria. (C) 2014 Elsevier Ltd. All rights reserved.
机译:发展中国家的城市正在经历前所未有的人口增长,说明了人口转型和对流行病学概况的后果转变的转变。然而,这种变化的特点是重要的农村对城市社会和文化转移,可以偏见预期的流行病学转变;与此同时,这种转移使得了解沟通疾病的发生比出现更复杂。城市疟疾发生是为喀麦隆雅温县市的建模。进行回顾性访谈,以描述家庭水平的各种流行病学,社会和环境变量。还集成了源自遥感数据的各种生态变量。开发了多变量多级阴性二项式分析,以评估解释性社会和生态变量的明显贡献。基于城市的空间模型实施,以了解城市疟疾的智慧,其特征在于这些变量。结果表明,社会环境变量的总体统计重要性,特别是那些在非传统住房类型和城市农业(UA)方面描述农村社会文化特征的统计重要性。城市疟疾发生的空间模式显示了人口密度梯度和社会环境因素的复杂组合,说明了传统城市特征对农村/非传统特征的重要性,减少城市疟疾的发生。 (c)2014年elestvier有限公司保留所有权利。

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