About: OBJECTIVES: We sought to identify the epidemiological characteristics of the first case series of patients with COVID-19 in Oman. METHODS: We included national surveillance data of patients with laboratory-confirmed COVID-19 from 24 February to 17 April 2020. Analyses were performed using descriptive and univariate statistics. RESULTS: Of the 1304 patients studied, the mean age was 37.0±13.0 years old, 80.3% were males, and 35.8% were Omanis. The other mostly affected nationalities were Indian (29.1%), Bangladeshi (20.0%), and Pakistani (10.7%). Out of the total, 80.1% were from the Muscat governorate. Omani patients were significantly more likely to be males than females and aged between 20 and 59 years old (p < 0.001). On presentation, 95.9% cases were mild, 3.6% moderate, and 0.5% severe. The case fatality rate was 0.5%. All deaths were from Muscat governorate; four from Mutrah, one from A'Seeb, and one from Bawshar. CONCLUSIONS: This case series provides epidemiological characteristics as well as the early outcomes of patients with laboratory-confirmed COVID-19.

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: OBJECTIVES: We sought to identify the epidemiological characteristics of the first case series of patients with COVID-19 in Oman. METHODS: We included national surveillance data of patients with laboratory-confirmed COVID-19 from 24 February to 17 April 2020. Analyses were performed using descriptive and univariate statistics. RESULTS: Of the 1304 patients studied, the mean age was 37.0±13.0 years old, 80.3% were males, and 35.8% were Omanis. The other mostly affected nationalities were Indian (29.1%), Bangladeshi (20.0%), and Pakistani (10.7%). Out of the total, 80.1% were from the Muscat governorate. Omani patients were significantly more likely to be males than females and aged between 20 and 59 years old (p < 0.001). On presentation, 95.9% cases were mild, 3.6% moderate, and 0.5% severe. The case fatality rate was 0.5%. All deaths were from Muscat governorate; four from Mutrah, one from A'Seeb, and one from Bawshar. CONCLUSIONS: This case series provides epidemiological characteristics as well as the early outcomes of patients with laboratory-confirmed COVID-19. Goto Sponge NotDistinct Permalink

An Entity of Type : fabio:Abstract, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	abstract
value	OBJECTIVES: We sought to identify the epidemiological characteristics of the first case series of patients with COVID-19 in Oman. METHODS: We included national surveillance data of patients with laboratory-confirmed COVID-19 from 24 February to 17 April 2020. Analyses were performed using descriptive and univariate statistics. RESULTS: Of the 1304 patients studied, the mean age was 37.0±13.0 years old, 80.3% were males, and 35.8% were Omanis. The other mostly affected nationalities were Indian (29.1%), Bangladeshi (20.0%), and Pakistani (10.7%). Out of the total, 80.1% were from the Muscat governorate. Omani patients were significantly more likely to be males than females and aged between 20 and 59 years old (p < 0.001). On presentation, 95.9% cases were mild, 3.6% moderate, and 0.5% severe. The case fatality rate was 0.5%. All deaths were from Muscat governorate; four from Mutrah, one from A'Seeb, and one from Bawshar. CONCLUSIONS: This case series provides epidemiological characteristics as well as the early outcomes of patients with laboratory-confirmed COVID-19.
part of	Epidemiology of COVID-19 Infection in Oman: Analysis of the First 1304 Cases
is abstract of	Epidemiology of COVID-19 Infection in Oman: Analysis of the First 1304 Cases

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software