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地点、地点、还是地点:在赞比亚南部省份的主动病例检测中,环境因素比指示病例的人口统计学特征更能预测疟疾阳性个体。

Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia.

作者信息

Larsen David A, Ngwenya-Kangombe Tokozile, Cheelo Sanford, Hamainza Busiku, Miller John, Winters Anna, Bridges Daniel J

机构信息

Department of Public Health, Food Studies and Nutrition, Syracuse University, 344D White Hall, Syracuse, NY, 13244, USA.

Akros, Lusaka, Zambia.

出版信息

Malar J. 2017 Jan 6;16(1):18. doi: 10.1186/s12936-016-1649-z.

Abstract

BACKGROUND

Decreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Various factors may be associated with finding malaria infections during case investigations, including the demographics of the incident case and environmental characteristics of the location of the incident case.

METHODS

Community health worker registries were used to determine what factors were associated with finding a malaria infection during reactive case detection.

RESULTS

Location was a more powerful predictor of finding malaria infections during case investigations than the demographics of the incident case. After accounting for environmental characteristics, no demographics around the incident case were associated with finding malaria infections during case investigations. Various time-invariant measures of the environment, such as median enhanced vegetation index, the topographic position index, the convergence index, and the topographical wetness index, were all associated as expected with increased probability of finding a malaria infection during case investigations.

CONCLUSIONS

These results suggest that targeting the locations highly at risk of malaria transmission is of importance in elimination settings.

摘要

背景

疟疾传播的减少导致异质性增加,热点地区(地点)和高危人群(特定人口群体)的风险都有所上升。在赞比亚南部省份,自2011年以来,主动病例检测一直是疟疾监测和消除工作的一部分。在病例调查期间发现疟疾感染可能与多种因素有关,包括发病病例的人口统计学特征以及发病病例所在地点的环境特征。

方法

利用社区卫生工作者登记信息来确定在主动病例检测期间发现疟疾感染与哪些因素有关。

结果

在病例调查期间,地点比发病病例的人口统计学特征更能有力地预测是否会发现疟疾感染。在考虑环境特征后,发病病例周围的人口统计学特征与病例调查期间发现疟疾感染并无关联。各种环境的时间不变指标,如中位数增强植被指数、地形位置指数、收敛指数和地形湿度指数,都如预期的那样与病例调查期间发现疟疾感染的可能性增加有关。

结论

这些结果表明,在疟疾消除环境中,针对疟疾传播高危地点至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf2/5219724/8ceb400e55fb/12936_2016_1649_Fig1_HTML.jpg

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