Your browser doesn't support javascript.
Analysis of epidemiological features of COVID-19 in Pavlodar region
Science & Healthcare ; 25(1):26-32, 2023.
Article in English | GIM | ID: covidwho-2325345
ABSTRACT

Introduction:

Coronavirus infection (COVID-19), first reported at the end of 2019, which has spilled over into a worldwide pandemic and has affected all aspects of our modern lives. The aim is to study and analyze the epidemiological features of COVID-19 in the Pavlodar region. Materials and

methods:

Study design is a descriptive retrospective study analysis. The data were obtained from official sources of the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan. The study includes patients from June 30, 2020 to October 31, 2021 who received outpatient and inpatient treatment for coronavirus infection in medical institutions of the Pavlodar region. Study materials - uploading reports from the Republican Center for e-Health of the Ministry of Health of the Republic of Kazakhstan.

Results:

This article presents epidemiological data on the incidence of coronavirus infection in the population of Pavlodar region. The number of detected cases of COVID-19 from June 30, 2020 to October 31, 2021 was 29,443. Distribution of patients by sex predominated women - 17,831 (60.56%), than men - 11,612 (39.44%). The majority of cases were in the age group from 61 to 70 years old, with a male to female ratio of 11.54. Statistical significance was found between duration of stay and type of inpatient care (p < 0.001, VS-MPR*=2.135 x 10+22).

Conclusion:

The study showed that the number of women who fell ill prevailed over the number of men who fell ill, although the number of deaths among men prevailed over the number of deaths among women. In the study, there was no significant difference in the duration of stay for men and women in home care, compared to patients under 24-hour observation.
Keywords

Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Observational study / Prognostic study Language: English Journal: Science & Healthcare Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Observational study / Prognostic study Language: English Journal: Science & Healthcare Year: 2023 Document Type: Article