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PHARMACOLOGY - ORIGINAL ARTICLES
Year : 2021  |  Volume : 11  |  Issue : 3  |  Page : 220-224

Estimation of Demographic Parameters of COVID-19 Patients Admitted in a Tertiary Care Hospital, Jaipur


1 Department of Pharmacology, Jaipur National University Institute of Medical Sciences and Research Centre, Jaipur, Rajasthan, India
2 Department of Microbiology, Shir Kalyan Medical College, SIKAR
3 Department of Pathology, Jaipur National University Institute of Medical Sciences and Research Centre, Jaipur, Rajasthan, India
4 Department of Biochemistry, Jaipur National University Institute of Medical Sciences and Research Centre, Jaipur, Rajasthan, India

Correspondence Address:
Bhagwati Chundawat
Associate Professor, Department of Microbiology, Jaipur National University Institute of Medical Sciences and Research Centre, Jaipur 302017, Rajasthan

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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijnpnd.ijnpnd_5_21

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Background: COVID-19 is a pandemic disorder spreading rapidly worldwide. Most of the countries were affected by the COVID-19 during the year 2020. Demographic data are important to understand the impact of COVID-19 across the country and also provide information on an appropriate response, planning, and allocation of resources. This study aims to assess the demographic data of COVID-19 patients admitted and treated in a tertiary care hospital, Jaipur. Materials and Methods: This is a retrospective study conducted in a tertiary care hospital in Jaipur. A total of 1149 patients’ data like age, gender, area they belong to, duration of the treatment, etc., were collected from the medical records department (MRD) department between July 1, 2020 and September 30, 2020. The data were expressed as counts, number, and percentage (%). The data were analyzed using Excel software. Results: Out of 1149 patients, 70% were males and 30% were females, respectively, and mean ± SD (standard deviation) of age was 44.23 ± 3.57. Most of the cases were obtained from Jaipur 63%, Bikaner 5.4%, Ajmer 4.4%, Alwar 2.6%, Sawai Madhopur 2.6%, Dausa 2.3%, Nagaur 2.3%, Bharatpur 2.1%, and Karauli 1.7%, respectively, and remaining places reported <1.5% cases. Also 40 to 80 years age groups were most affected. About 32.4% mild, 55.7% moderate, and 11.8% severe cases were reported. Conclusions: More male patients were affected when compared with female patients. Age and other disease conditions have a positive correlation with COVID-19. Older people should take extra precautions and avoid going to markets, parties, etc., unless it is essential. Early identification and detection of COVID-19 helps in better treatment and preventing the conversion of mild cases into moderate or severe cases and prevents the transmission from one to another.


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