Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Dec 29:9:357.
doi: 10.4103/jehp.jehp_563_20. eCollection 2020.

Clinical correlation of severe acute respiratory syndrome-coronavirus-2 cases in selected districts of Uttar Pradesh: A cross-sectional hospital-based study

Rajesh Kumar Verma  1 , Sanjay Kannaujia  2 , Neha Khurana  1 , Amit Singh  1 , Dharmendra P Singh  1 , Alok Kumar  3
Affiliations

Clinical correlation of severe acute respiratory syndrome-coronavirus-2 cases in selected districts of Uttar Pradesh: A cross-sectional hospital-based study

Rajesh Kumar Verma et al. J Educ Health Promot. .

Abstract

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.

Keywords: Coronavirus disease 2019; real-time polymerase chain reaction; severe acute respiratory syndrome coronavirus 2.

PubMed Disclaimer

Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Gender distribution of positive SARS-CoV-2 cases
Figure 2
Figure 2
Percentage of positive cases in different age groups represented by the bar diagram
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    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. - PMC - PubMed
    1. 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. - PMC - PubMed
    1. Noh JY, Yoon SW, Kim DJ, Lee MS, Kim JH, Na W, et al. 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. - PMC - PubMed
    1. 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. - PMC - PubMed
    1. 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. 2003;348:1967–76. - PubMed