Anticipatory decision-making for cholera in Malawi

被引:3
|
作者
Jutla, Antarpreet [1 ]
Usmani, Moiz [1 ]
Brumfield, Kyle D. [2 ,3 ]
Singh, Komalpreet [1 ]
McBean, Fergus [4 ]
Potter, Amy [4 ]
Gutierrez, Angelica [5 ]
Gama, Samuel [6 ]
Huq, Anwar [2 ,3 ]
Colwell, Rita R. [2 ,3 ]
机构
[1] Univ Florida, Dept Environm Engn Sci, Geohlth & Hydrol Lab, Gainesville, FL USA
[2] Univ Maryland, Maryland Pathogen Res Inst, College Pk, MD 20742 USA
[3] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
[4] Foreign Commonwealth & Dev Off, London, England
[5] NOAA, Off Water Predict, Silver Spring, MD USA
[6] Dept Disaster Management Affairs, Off Vice President, Lilongwe, Malawi
来源
MBIO | 2023年 / 14卷 / 06期
基金
美国国家科学基金会;
关键词
cholera; remote sensing; Malawi; VIBRIO-CHOLERAE; INFECTIOUS-DISEASE; CLIMATE; WATER; PARAHAEMOLYTICUS; ESTUARINE; SALINITY; SURVIVAL; EPIDEMIC; ECOLOGY;
D O I
10.1128/mbio.00529-23
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Climate change raises an old disease to a new level of public health threat. The causative agent, Vibrio cholerae, 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.
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页数:7
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