A Study on Epidemic Diseases in Multispecialty Health Care System

Aim: to evaluate, over a certain time period, the prevalence and distribution of epidemic diseases among patients admitted to District Hospital Rajahmundry. Methodology: Over the course of six months, Prospective observational method was used to conduct a study on the prevalence of a certain disease and its co-morbidities. There are multiple diseases with different clinical spectrums, and among them, different risk factors may likely be helped out. This is a prospective epidemiological study carried out at the 500-bed super specialty government hospital known as the Tertiary Care Teaching Hospital. The six-month study period from November 2023 to April 2024 was dedicated to assessing the cases for epidemically. From the patient’s case survey, demographic and diagnostic information for patients below 20 years to above 81 years gathered and divided into 8 different groups. Objectives: To find out how often epidemic diseases are overall among patients who are admitted to Rajahmundry District Hospital. List the specific epidemic diseases that hospital patients are most frequently diagnosed with. Examine the seasonal differences in the prevalence of diseases that are spreading. Results: The illnesses with the highest prevalence were Dengue, Malaria, Influenza, HIV/AIDS, and renal Severe Acute Respiratory Syndrome (SARS), respectively. Conclusion: The most prevalent disease Dengue (44.1%), Malaria (24.2%), Seasonal Influenza (13.4%), HIV/AIDS (9.9%), SARS (8%) respectively. The most prevalent age group of common epidemic diseases is 41-50 years (31.9%) 31-40 years (17.9%).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-26
DOI
https://doi.org/10.5281/zenodo.14250696
Primary Topic
Global Health and Epidemiology
Type
article
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article

A Study on Epidemic Diseases in Multispecialty Health Care System

Zenodo (CERN European Organization for Nuclear Research)
Global Health and Epidemiology
article

A Study on Epidemic Diseases in Multispecialty Health Care System

article en

Abstract

Aim: to evaluate, over a certain time period, the prevalence and distribution of epidemic diseases among patients admitted to District Hospital Rajahmundry. Methodology: Over the course of six months, Prospective observational method was used to conduct a study on the prevalence of a certain disease and its co-morbidities. There are multiple diseases with different clinical spectrums, and among them, different risk factors may likely be helped out. This is a prospective epidemiological study carried out at the 500-bed super specialty government hospital known as the Tertiary Care Teaching Hospital. The six-month study period from November 2023 to April 2024 was dedicated to assessing the cases for epidemically. From the patient’s case survey, demographic and diagnostic information for patients below 20 years to above 81 years gathered and divided into 8 different groups. Objectives: To find out how often epidemic diseases are overall among patients who are admitted to Rajahmundry District Hospital. List the specific epidemic diseases that hospital patients are most frequently diagnosed with. Examine the seasonal differences in the prevalence of diseases that are spreading. Results: The illnesses with the highest prevalence were Dengue, Malaria, Influenza, HIV/AIDS, and renal Severe Acute Respiratory Syndrome (SARS), respectively. Conclusion: The most prevalent disease Dengue (44.1%), Malaria (24.2%), Seasonal Influenza (13.4%), HIV/AIDS (9.9%), SARS (8%) respectively. The most prevalent age group of common epidemic diseases is 41-50 years (31.9%) 31-40 years (17.9%).

Zenodo (CERN European Organization for Nuclear Research)
GSL Medical College & General Hospital (IN), Samueli Institute (US)
Good health and well-being
Openalex Percentile: Top 40%
Global Health and Epidemiology
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A Study on Epidemic Diseases in Multispecialty Health Care System · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS