Document Type : Original Article


1 Department of Microbiology, Uttar Pradesh University of Medical Sciences, Etawah, Uttar Pradesh, India

2 Department of Pathology, Uttar Pradesh University of Medical Sciences, Etawah, Uttar Pradesh India,

3 Department of Forensic Medicine, Uttar Pradesh University of Medical Sciences, Etawah, Uttar Pradesh, India


BACKGROUND: The novel coronavirus (CoV) has resulted in a global pandemic despite drastic
measures to avoid contagious spread. On April 3, 2020, there were around 1 million reported cases
and 51,515 deaths due to CoV disease 2019. The disease presents with flu‑like symptoms such as
fever, dry cough, and fatigue. India being a resource‑limited country, it is very important to differentiate
the suspected cases clinically.
AIM: The aim was to know the correlation of various clinical features of severe acute respiratory
syndrome CoV 2 (SARS‑CoV‑2)‑infected cases in selected districts of UP.
SETTING AND DESIGN: This was a retrospective cross‑sectional hospital‑based study.
MATERIALS AND METHODS: This was a retrospective cross‑sectional study performed on 1243
suspected cases of SARS‑CoV‑2 infection from March 25, 2020 to April 17, 2020 in the department
of microbiology of our institute to know the incidence of SARS‑CoV‑2 infection in selected districts
of Uttar Pradesh. These cases were analyzed to see the association of various clinical symptoms
with SARS‑CoV‑2 infection. For statistical analysis, Pearson’s Chi‑square test was performed using
SPSS version 23.
RESULTS: Out of total suspected cases, 4.5% were positive. Travel history was present in 80.4%
of positive cases. About 83.9% had fever, 28.6% had shortness of breath, 35.7% had dry cough,
17.9% had either Type I or II diabetes mellitus, 12.5% had chronic kidney disease, and 7.1% had
obstructive pulmonary diseases.
CONCLUSION: Negative clinical history is very important in ruling out the suspected cases who
came out to be free from the infection.


1. Shen M, Zhou Y, Ye J, AL‑Maskri AA, Kang Y, Zeng S, et al.
Recent advances and perspectives of nucleic acid detection for
coronavirus. J Pharm Anal 2020;10(2):97-101.
2. Wan Z, Zhang Y, He Z, Liu J, Lan K, Hu Y, et al. A melting
curve‑based multiplex RT‑qPCR assay for simultaneous detection
of four human coronaviruses. Int J Mol Sci 2016;17(11):1880.
3. NohJY, YoonSW, KimDJ, LeeMS, KimJH, NaW, etal. Simultaneous
detection of severe acute respiratory syndrome, Middle East
respiratory syndrome, and related bat coronaviruses by real-time
reverse transcription PCR. Arch Virol 2017;162:1617-23.
4. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features
of patients infected with 2019 novel coronavirus in Wuhan, China.
Lancet 2020;395:497‑506.
5. Drosten C, Günther S, Preiser W, van der Werf S, Brodt HR,
Becker S, et al. Identification of a novel coronavirus in patients
with severe acute respiratory syndrome. N Engl J Med.
6. Ksiazek TG, Erdman D, Goldsmith CS, Zaki SR, Peret T, Emery S,
et al. A novel coronavirus associated with severe acute respiratory
syndrome. N Engl J Med. 2003;348:1953‑66.
7. Peiris JS, Lai ST, Poon LL, Guan Y, Yam LY, Lim W, et al.
Coronavirus as a possible cause of severe acute respiratory
syndrome. Lancet 2003;361:1319‑25.
8. World Health Organization (WHO). Corona Virus. World Health
Organization; 2020. Available from:
health-topics/coronavirus. Accessed on 10 May 2020.
9. Rubin EJ, Baden LR, Morrissey S, Campion EW. Medical journals
and the 2019‑nCoV outbreak. N Engl J Med 2020;382:866.
10. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al.
Epidemiological and clinical characteristics of 99 cases of 2019
novel corona virus pneumonia in Wuhan, China: A descriptive
study. Lancet 2020;395:507‑13.