| Literature DB >> 35983574 |
Sanaa Deblij1, Bouchaib Bahlaouan2, Nadia Boutaleb1, FatimaZahra Boutaleb1, Mohamed Bennani3, Said El Antri1.
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 F1 × F2 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.Entities:
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Year: 2022 PMID: 35983574 PMCID: PMC9381249 DOI: 10.1155/2022/1093956
Source DB: PubMed Journal: ScientificWorldJournal ISSN: 1537-744X
Figure 1Map of Casablanca-Settat region in Morocco.
Figure 2The weekly evolution of deaths and confirmed cases by SARS-CoV-2 in the Casa-Settat region from July 22, 2020, until 30/11/2021.
Figure 3The inventory of the causes of the epidemiological disease hazard in the Casa-Settat region.
Distribution of diseases under epidemiological surveillance according to Moroccan regions.
| Number of cases of illness | Cumulative SARS-CoV-2 deaths | SARS-CoV-2 | Eruptive fevers | Tuberculosis | Meningitis | AIDS | Cutaneous leishmaniasis | Diabetes |
|---|---|---|---|---|---|---|---|---|
| Casa-Settat | 2182 | 172746 | 8 | 7404 | 9 | 130 | 11 | 807 |
| Marrakech-Safi | 907 | 35407 | 5 | 2481 | 6 | 34 | 616 | 444 |
| Fez-Meknes | 694 | 19100 | 20 | 3499 | 41 | 11 | 189 | 383 |
| Tangier-Tetouan-Al Hoceima | 739 | 38404 | 9 | 4433 | 2 | 2 | 39 | 296 |
| Souss-Massa | 500 | 31677 | 12 | 1834 | 107 | 72 | 118 | 41 |
| Beni-Mellal-Khenifra | 448 | 15847 | 5 | 1215 | 18 | 35 | 359 | 151 |
| Oriental | 666 | 28016 | 7 | 1391 | 24 | 16 | 129 | 274 |
| Draa-Tafilalet | 312 | 14529 | 2 | 373 | 26 | 3 | 2098 | 264 |
| Guelmim-Oued Noun | 104 | 6182 | 0 | 1834 | 5 | 11 | 0 | 34 |
| Rabat-Sale-Kenitra | 763 | 66467 | 25 | 5186 | 87 | 35 | 75 | 436 |
Distribution of Moroccan regions according to their related epidemiological issues: constructed from data from monographs of 10 Moroccan regions.
| Regions | Inhabitants | Density | Hospital structures | Highways | Industrial units | Area | Daily effluents (liters per day) | Ports | Airports | CHU |
|---|---|---|---|---|---|---|---|---|---|---|
| Casa-Settat |
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| 3 | 1 |
| Marrakech-Safi | 4 687 947 | 119 | 15 | 453 | 674 | 39 167 | 8200 | 2 | 2 | 1 |
| Fes-Meknes | 4 347 958 | 108 | 21 | 202 | 1014 | 40 075 | 11200 | 0 | 1 | 1 |
| Tangier-Tetouan-Al Hoceima | 3 725 192 | 215.8 | 16 | 226 | 878 | 17 262 | 8700 | 15 | 3 | 1 |
| Souss-Massa | 2 817 204 | 52 | 8 | 250 | 396 | 53 789 | 4700 | 1 | 1 | 1 |
| Beni-Mellal-Khenifra | 2 581 703 | 90 | 9 | 0 | 315 | 28 374 | 4500 | 0 | 1 | 0 |
| Oriental | 2 402 374 | 27 | 10 | 171 | 401 | 88 681 | 5700 | 3 | 3 | 1 |
| Guelmim-Oued Noun | 441 800 | 9.5 | 4 | 0 | 24 | 46 108 | 2000 | 2 | 2 | 0 |
| Draa-Tafilalt | 1 673 773 | 18.8 | 8 | 0 | 62 | 88 836 | 4 000 | 0 | 3 | 0 |
| Rabat-Sale-Kenitra | 4 769 423 | 262 | 19 | 304.5 | 776 | 18 194 | 10 200 | 3 | 1 | 1 |
Figure 4Principal component analysis. (a) The biplot and (b) correlation circle between variables and factors.