Age and Gender Variation of COVID-19 Patients Admitted at Tertiary Care Hospital During 2nd wave: Record Based Study (Pilot study)
Introduction: There is variation in age group and gender of the COVID-19 infected patients being admitted in the hospital with severe to mild symptoms. COVID-19 affected both sex and age range of affected persons was from a newborn to 100-year-old individuals. Objective: To study the age group and g...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Indian Association of Preventive and Social Medicine
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/d23c2174e447407287fa9f7c79b54fff |
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| Sumario: | Introduction: There is variation in age group and gender of the COVID-19 infected patients being admitted in the hospital with severe to mild symptoms. COVID-19 affected both sex and age range of affected persons was from a newborn to 100-year-old individuals. Objective: To study the age group and gender wise distribution of cases admitted during 2nd wave of COVID-19. Method: In this record-based study, authors have analyzed the data of COVID-19patients admitted at Tertiary care hospital, Bhavnagar in the month of April 2021 during the 2nd wave of COVID-19 and a total of 3,347 such patients were recorded. Patients were analysed for age group and gender using percentage. Results: It was found thatmales (55.27%) were affected more than the females (44.73%). The highest number of cases was recorded in the 40-60 years age group (48.4%) while 0-28 days were lowest (0.08%) among the total number of patients. Conclusion: There is a relation of COVID-19infection to age and gender since there were more old age people affected in the 1st wave and the trend followed on in the 2nd wave as well with some changes. Males were infected more in almost all age groups and the highest infection was in the 40 - 60 years age group. There can be biological factors affecting this along with immunity playing a part as well as poor immunization status of the country. Finding of this study will be helpful to Doctors and researchers in predicting the age and gender pattern of COVID-19 infection which may help in preventing future waves. |
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