Environmental Analysis of the COVID-19 pandemic in Saudi Arabia: A Study in Medical Geography
Notice bibliographique
Résumé
This study is one of the micro studies that is concerned with analyzing the geographical environment of a global epidemic within a specific geographical scope, in which the rates of infection with the Covid19 pandemic in the Saudi Arabia were compared with other local, regional and global regions to determine the extent of its spread and speed of arrival, and the distribution of morbidity, recovery and fatality rates was also linked.The study relied on several approaches, including the inductive approach, disease Ecology and Disease Diffusion approach, as well as statistical and quantitative analysis using the stepwise regression method, and the cartographic representation method, and the study reached a set of results, the most important of which are The success of the Saudi Arabia at the international and regional levels in dealing with the epidemic, as it was able to reduce the growth of infection cases, and fell from the forefront of the Arab countries in the number of infected cases to the third, and from the thirteenth to the thirty-fifth globally, and began to decline further after the application of vaccines For all those within its borders, it was also able to maintain average infection rates of 1041.9 for every 100 thousand people at the end of 2020, which is slightly less than the global average of about 1069 per 100 thousand people, and low death rates did not exceed 1.7%, while the global rate was 2.2%, and therefore the growth of recovery rates increased to reach 97.5% in light of Continuous prevention and examination procedures and treatment services.At the level of the Saudi's regions, regional discrepancies were found clearly, as morbidity and recovery rates increased in the east and southwest of the state and extended to the West, where the Eastern Province, Madinah and Asir recorded the highest morbidity rates, and recovery rates exceeded 98%, while morbidity rates decreased in the north and center, especially in the Al-Jawf region, Tabuk and the northern borders, and the death rates increased in the northern part, where the Al-Jawf region and the northern borders recorded rates ranging from 3.5 -4.2%.For reasons related to movement, density, and degree of crowding.When analyzing the environmental impact of some health and social factors affecting the rates of morbidity and fatality in the pandemic in the regions of the Saudi Arabia using the method of stepwise regression analysis, the association of infection with some infectious diseases such as amoebic dysentery as an indicator of disease infection came in the forefront of the independent variables and the relationship was significant, then followed by a variable availability of the health service represented in the availability of isolation beds, and the availability of chest physicians came at the forefront of the independent variables included in the regression analysis of the fatality rate variable, followed by the variable population density, Then the nursing / physician.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».