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美国墨西哥湾沿岸沿海人类社区气候足迹的量化。

Quantification of Climate Footprints of in Coastal Human Communities of the United States Gulf Coast.

作者信息

Jamal Yusuf, Usmani Moiz, Brumfield Kyle D, Singh Komalpreet, Huq Anwar, Nguyen Thanh Huong, Colwell Rita, Jutla Antarpreet

机构信息

Department of Environmental Engineering Sciences Geohealth and Hydrology Laboratory University of Florida Gainesville FL USA.

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

出版信息

Geohealth. 2024 Aug 19;8(8):e2023GH001005. doi: 10.1029/2023GH001005. eCollection 2024 Aug.

DOI:10.1029/2023GH001005
PMID:39165476
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11333720/
Abstract

The incidence of vibriosis is rising globally with evidence of climate variability influencing environmental processes that support growth of pathogenic . The waterborne pathogen, can invade wounds and has one of the highest case fatality rates in humans. The bacterium cannot be eradicated from the aquatic environment, hence climate driven environmental conditions enhancing growth and dissemination of . need to be understood to provide preemptive assessment of its presence and distribution in aquatic systems. To achieve this objective, satellite remote sensing was employed to quantify the association of sea surface temperature (SST) and chlorophyll- (chl-) in locations with reported . infections. Monthly analysis was done in two populated regions of the Gulf of Mexico-Tampa Bay, Florida, and Galveston Bay, Texas. Results indicate warm water, characterized by a 2-month lag in SST, high concentration of phytoplankton, proxied for zooplankton using 1 month lagged chl- values, was statistically linked to higher odds of . infection in the human population. Identification of climate and ecological processes thresholds is concluded to be useful for development of an heuristic prediction system designed to determine risk of infection for coastal populations.

摘要

弧菌病在全球的发病率正在上升,有证据表明气候变异性影响着支持病原菌生长的环境过程。这种水生病原体可侵入伤口,在人类中的病死率是最高的之一。这种细菌无法从水生环境中根除,因此需要了解气候驱动的环境条件如何促进其生长和传播,以便对其在水生系统中的存在和分布进行前瞻性评估。为实现这一目标,利用卫星遥感技术量化了墨西哥湾两个人口密集地区——佛罗里达州坦帕湾和得克萨斯州加尔维斯顿湾——报告有弧菌感染的地点的海表温度(SST)和叶绿素(chl-)之间的关联。每月进行分析。结果表明,以海表温度有2个月滞后为特征的温暖水域、浮游植物高浓度(使用滞后1个月的chl-值来代表浮游动物)与人群中弧菌感染几率较高在统计学上相关。得出结论,确定气候和生态过程阈值有助于开发一种启发式预测系统,该系统旨在确定沿海人群的感染风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/354ecb70b2ab/GH2-8-e2023GH001005-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/f423b08e5882/GH2-8-e2023GH001005-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/bb7ad56a1a2b/GH2-8-e2023GH001005-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/17053c891ceb/GH2-8-e2023GH001005-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/d8b7e3a3206b/GH2-8-e2023GH001005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/b73f74a78b93/GH2-8-e2023GH001005-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/de8343669d68/GH2-8-e2023GH001005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/70756e8aa259/GH2-8-e2023GH001005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/354ecb70b2ab/GH2-8-e2023GH001005-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/f423b08e5882/GH2-8-e2023GH001005-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/bb7ad56a1a2b/GH2-8-e2023GH001005-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/17053c891ceb/GH2-8-e2023GH001005-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/d8b7e3a3206b/GH2-8-e2023GH001005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/b73f74a78b93/GH2-8-e2023GH001005-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/de8343669d68/GH2-8-e2023GH001005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/70756e8aa259/GH2-8-e2023GH001005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fab/11333720/354ecb70b2ab/GH2-8-e2023GH001005-g007.jpg

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