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