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摩洛哥卡萨布兰卡-塞塔特大区城市发展与 SARS-CoV-2 出现期间疾病发生的关系。

The Urban Development in Relation to the Occurrence of Diseases in the Casa-Settat Region of Morocco during the Emergence of SARS-CoV-2.

机构信息

Hassan 2 University of Casablanca, Laboratory of Biochemistry, Environment and Agri-Food, LBEA URAC36, Casablanca 20650, Morocco.

Higher Institutes of the Nursing Professions and Techniques of Health ISPITS, Casablanca 22500, Morocco.

出版信息

ScientificWorldJournal. 2022 Aug 9;2022:1093956. doi: 10.1155/2022/1093956. eCollection 2022.

DOI:10.1155/2022/1093956
PMID:35983574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9381249/
Abstract

The Casa-Settat region is experiencing very worrying environmental and epidemiological problems and challenges, namely, population growth, the significant development of unsupervised industrial activities, road traffic, the significant weight of the spread of diseases with high epidemiological potential such as SARS-CoV-2, the increase in hospital activities, and the significant discharge of hospital effluents highly contaminated and untreated. To understand and analyze the factors influencing the high prevalence of deaths and the occurrence of diseases under surveillance, among others SARS-CoV-2, on the quantitative data recorded relating to ten regions of Morocco, and informing, on the one hand, on intrinsic data linked to the urban development, and on the other hand, on the evolution of diseases under epidemiological surveillance, a multidimensional analysis was made. The results reveal the typological framework highlighted by the factorial map 1 × 2 which showed the individualization of the region of Casablanca explained by a large number of variables and diseases that affect it. Finally, these results call for a diagnosis that will make it possible to model new approaches and implement new actions promoting the dynamics of environmental and epidemiological change in one of the most polluted and infected regions of Morocco.

摘要

卡萨布兰卡大区正面临着非常严峻的环境和流行病学问题和挑战,主要有:人口增长、不受监管的工业活动大量发展、道路交通、具有高流行病学潜力的疾病(如 SARS-CoV-2)传播的显著加重、医院活动的增加以及大量未经处理的高污染医院废水排放。为了了解和分析影响高死亡率和监测疾病(包括 SARS-CoV-2)发生的因素,对摩洛哥十个地区的定量数据进行了多维分析,并提供了有关城市发展内在数据和流行病学监测疾病演变的信息。结果揭示了因子图 1×2 所突出的典型框架,该框架表明卡萨布兰卡大区的个体化是由影响其的大量变量和疾病所解释的。最后,这些结果需要进行诊断,以建立新的方法并采取新的行动,推动摩洛哥污染和感染最严重的地区之一的环境和流行病学变化的动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/3681091a4b29/TSWJ2022-1093956.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/e15264cd2ca3/TSWJ2022-1093956.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/0024d0a2c48b/TSWJ2022-1093956.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/7cbc170ea58f/TSWJ2022-1093956.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/3681091a4b29/TSWJ2022-1093956.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/e15264cd2ca3/TSWJ2022-1093956.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/0024d0a2c48b/TSWJ2022-1093956.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/7cbc170ea58f/TSWJ2022-1093956.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e5f/9381249/3681091a4b29/TSWJ2022-1093956.004.jpg

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