Agro-ecology, household economics and malaria in Uganda: empirical correlations between agricultural and health outcomes.

Agro-ecology, household economics and malaria in Uganda: empirical correlations between agricultural and health outcomes.
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DOI:
10.1186/1475-2875-13-251
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发表时间:
2014-07-03
期刊:
影响因子:
3
通讯作者:
Ringler C
Ringler C
中科院分区:
医学3区
文献类型:
--
作者:
Wielgosz B;Kato E;Ringler C

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本文建立了乌干达农业和卫生部门的经验证据。该分析探讨了农业管理、疟疾和对改善乌干达农村社区卫生成果的影响之间的联系。这项探索性工作的目标是扩大乌干达农业和卫生部门之间合作的证据基础。本文介绍了一个分析数据,从2006年乌干达全国住户调查使用参数多变量双限Tobit模型,以确定农业生态变量,包括地理上连接的每日季节性降水量记录和家庭层面的疟疾风险之间的相关性。对影响按年龄组分列的家庭疟疾发病率的农业和环境因素进行分析的灵感来自对现有农业疟疾文献的一次补充审查,该文献表明,在农业管理作为疟疾病媒管理的一种形式方面存在证据空白。作物选择和农业管理做法可通过减少疟疾传播、通过增加收入改善住房和营养以及减少疟疾病媒和农业害虫对杀虫剂的抗药性等同时产生的效果,促进病媒控制。计量经济学结果显示,甘薯/山药、豆类、小米和高粱等作物与家庭疟疾风险之间存在统计上的显著相关性。当地环境因素也有影响-每日最高温度与疟疾呈负相关,而每日最低温度与疟疾呈正相关,这证实了更广泛文献中的趋势适用于乌干达的情况。虽然不一定是因果关系,但研究结果提供了足够的证据,证明有目的地设计工作,以测试病媒管理中的农业健康因果关系。对疟疾传播的农业基础进行建模的一个关键制约因素是缺乏综合卫生和农业信息的数据,这些信息是满足这两个部门使用的不同方法所必需的。农业和卫生部门之间的国家合作平台可以帮助调整计划,以更好地衡量农业与病媒繁殖的相互作用,并评估农业政策和计划支持农村疟疾控制的潜力。
This paper establishes empirical evidence relating the agriculture and health sectors in Uganda. The analysis explores linkages between agricultural management, malaria and implications for improving community health outcomes in rural Uganda. The goal of this exploratory work is to expand the evidence-base for collaboration between the agricultural and health sectors in Uganda. The paper presents an analysis of data from the 2006 Uganda National Household Survey using a parametric multivariate Two-Limit Tobit model to identify correlations between agro-ecological variables including geographically joined daily seasonal precipitation records and household level malaria risk. The analysis of agricultural and environmental factors as they affect household malaria rates, disaggregated by age-group, is inspired by a complimentary review of existing agricultural malaria literature indicating a gap in evidence with respect to agricultural management as a form of malaria vector management. Crop choices and agricultural management practices may contribute to vector control through the simultaneous effects of reducing malaria transmission, improving housing and nutrition through income gains, and reducing insecticide resistance in both malaria vectors and agricultural pests. The econometric results show the existence of statistically significant correlations between crops, such as sweet potatoes/yams, beans, millet and sorghum, with household malaria risk. Local environmental factors are also influential- daily maximum temperature is negatively correlated with malaria, while daily minimum temperature is positively correlated with malaria, confirming trends in the broader literature are applicable to the Ugandan context. Although not necessarily causative, the findings provide sufficient evidence to warrant purposefully designed work to test for agriculture health causation in vector management. A key constraint to modeling the agricultural basis of malaria transmission is the lack of data integrating both the health and agricultural information necessary to satisfy the differing methodologies used by the two sectors. A national platform for collaboration between the agricultural and health sectors could help align programs to achieve better measurements of agricultural interactions with vector reproduction and evaluate the potential for agricultural policy and programs to support rural malaria control.
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