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马拉维霍乱的预期决策。

Anticipatory decision-making for cholera in Malawi.

机构信息

Department of Environmental Engineering Sciences, GeoHealth and Hydrology Laboratory, University of Florida, Gainesville, Florida, USA.

Maryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.

出版信息

mBio. 2023 Dec 19;14(6):e0052923. doi: 10.1128/mbio.00529-23. Epub 2023 Nov 14.

Abstract

Climate change raises an old disease to a new level of public health threat. The causative agent, , native to aquatic ecosystems, is influenced by climate and weather processes. The risk of cholera is elevated in vulnerable populations lacking access to safe water and sanitation infrastructure. Predictive intelligence, employing mathematical algorithms that integrate earth observations and heuristics derived from microbiological, sociological, and weather data, can provide anticipatory decision-making capabilities to reduce the burden of cholera and save human lives. An example offered here is the recent outbreak of cholera in Malawi, predicted in advance by such algorithms.

摘要

气候变化将一种古老的疾病提升到了新的公共卫生威胁层面。这种病原体, ,原产于水生生态系统,受气候和天气过程的影响。在缺乏安全水和卫生基础设施的弱势群体中,霍乱的风险更高。预测性智能采用整合地球观测和从微生物学、社会学和天气数据中得出的启发式算法的数学算法,可以提供前瞻性决策能力,以减轻霍乱负担并拯救人类生命。这里提供的一个例子是最近在马拉维爆发的霍乱,这些算法提前预测到了这一情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56e/10746182/e4e1550b0602/mbio.00529-23.f001.jpg

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