COVID-19 monthly pandemic evolution in Algeria
Applied Medical Informatics
; 44(4):139-147, 2022.
Article
in English
| CAB Abstracts | ID: covidwho-2313564
ABSTRACT
Our study's objective was to retrospectively evaluate the pandemic Coronavirus Infection Disease first appeared in 2019 (COVID-19) in Algeria from July 2020 until February 2022 by studying the evolution and relationship between three variables the number of new cases, the number of new deaths, and the number of cases hospitalized in intensive care. Data were obtained from "Our world in Data Organisation" (https//ourworldindata.org/coronavirus) on 01 March 2022. They were proceeded by descriptive and multivariate analysis. The correlation between the three variables and the analysis of individual principal components (PCA) were conducted. The number of new cases shot up the month of January 2022 with 33685 cases, the peak number of cases in intensive care was recorded in July 2021 with 1261 cases whereas the number of new deaths reached its peak in the month of August 2021 with 1015 cases. A significant linear dependence has been identified between the number of new cases and the number of cases in intensive care (R2>0.5). The PCA analysis allowed us to distinguish the months of August 2020, November 2020, July 2021, August 2021, September 2021, and January 2022. They were characterized by high levels of new confirmed cases, new deaths and/or cases in intensive care. During the study period, the pandemic COVID-19 in Algeria passed by three waves characterized by peaks in the number of new cases and new deaths.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210]; coronavirus disease 2019; human diseases; intensive care units; lungs; mortality; pandemics; public health; respiratory diseases; retrospective studies; viral diseases; man; Severe acute respiratory syndrome coronavirus 2; Algeria; Francophone Africa; Africa; high Human Development Index countries; lower-middle income countries; Maghreb; North Africa; Mediterranean Region; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; death rate; lung diseases; SARS-CoV-2; viral infections
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Collection:
Databases of international organizations
Database:
CAB Abstracts
Language:
English
Journal:
Applied Medical Informatics
Year:
2022
Document Type:
Article
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