Socioeconomic, demographic, and clinical profile of COVID patients in north coastal districts of Andhra Pradesh

Authors

DOI:

https://doi.org/10.3126/ajms.v13i8.43950

Keywords:

Ageusia; Anosmia; Computed tomography value; COVID; Demographic; Fatigue; Fever; Nasopharyngeal swab; Oropharyngeal swab; Pandemic; Positive; Reverse transcription polymerase chain reaction; SARS-CoV-2; Wuhan

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 care
workers (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.

Downloads

Download data is not yet available.
Abstract
205
PDF
285

Downloads

Published

2022-08-01

How to Cite

Siva Prasad Reddy Basava, Aruna Rani Behera, Sangeeta Panigrahy, Pradeep Vegi, Samatha P, Balachandrasekhar P, & Sai Saileshkumar Goothy. (2022). Socioeconomic, demographic, and clinical profile of COVID patients in north coastal districts of Andhra Pradesh. Asian Journal of Medical Sciences, 13(8), 1–7. https://doi.org/10.3126/ajms.v13i8.43950

Issue

Vol. 13 No. 8 (2022)

Section

Original Articles

License

Copyright (c) 2022 Asian Journal of Medical Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. The journal holds copyright and publishes the work under a Creative Commons CC-BY-NC license that permits use, distribution and reprduction in any medium, provided the original work is properly cited and is not used for commercial purposes. The journal should be recognised as the original publisher of this work.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).