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Socioeconomic, demographic, and clinical profile of COVID patients in north coastal districts of Andhra Pradesh
Asian Journal of Medical Sciences ; 13(8):1-7, 2022.
Article in English | CAB Abstracts | ID: covidwho-2251391
ABSTRACT

Background:

The unprecedented outbreak of a contagious respiratory disease caused by a novel coronavirus has led to a pandemic since December 2019, claiming millions of lives. Aims and

Objectives:

The present study was undertaken to estimate the various risk factors associated with COVID, to study the common presenting symptoms and prognosis, and to estimate the degree of association between computed tomography (CT) value in reverse transcription polymerase chain reaction (RT-PCR) with mode of disease transmission in north coastal districts of Andhra Pradesh. Materials and

Methods:

This was a cross-sectional study comprising of 1462 COVID-positive individuals. It is based on structured questionnaire on demographic, socioeconomic and symptoms, and correlation of clinical pattern with CT value in RT-PCR and further prognosis.

Results:

Diabetes (6.7%), hypertension (7.5%), and bronchial asthma (8.6%) are the main comorbid conditions. Middle (44.6%) and low socioeconomic status (47.3%) are more susceptible. Male gender (63.5%) is more affected, especially 16-30 years age group (32.4%). Vaccination offers considerable protection from infection. Contact (59.4%) with known case and travel (31%) are main factors that determine disease transmission. Blood group may not play a role in COVID susceptibility. Health careworkers (22.9%) and students (16.2%) are mostly affected.

Conclusion:

Bronchial asthma, hypertension, and diabetes mellitus are the predominant risk factors associated with COVID. Transmission of the disease is more by virtue of contact with the infected person than by travel.
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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Prognostic study Language: English Journal: Asian Journal of Medical Sciences Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Prognostic study Language: English Journal: Asian Journal of Medical Sciences Year: 2022 Document Type: Article