ArticleAccess microbiology2023
Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.
Article in Access microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Genomic surveillance in Morocco tracks SARS-CoV-2 variant shift from Alpha to Omicron sublineage JN1.Npj viruses · 2025Article
- Coinfection with SARS-CoV-2 among patients with Streptococcus pneumoniae in Casablanca.BMC infectious diseases · 2025Article
- COVID-19 pandemic in Taiz Governorate, Yemen, between 2020 and 2023.BMC infectious diseases · 2024Article
- Review
- Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.Access microbiology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This is an analytical cross-sectional study of coronavirus disease 2019 (COVID-19) based on data collected between 1 November 2020 and 31 March 2021 in Casablanca focusing on the disease's epidemiological status and risk factors. A total of 4569 samples were collected and analysed by reverse-transcription polymerase chain reaction (RT-PCR); 967 patients were positive, representing a prevalence of 21.2 % for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The mean age was 47.5±18 years, and infection was more common in young adults (<60 years). However, all age groups were at risk of COVID-19, and in terms of disease severity, the elderly were at greater risk because of potential underlying health problems. Among the clinical signs reported in this study, loss of taste and/or smell, fever, cough and fatigue were highly significant predictors of a positive COVID-19 test result (
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