Journal article Open Access

DEMOGRAPHIC HETEROGENICITY OF COVID 19 IN PUNJAB, PAKISTAN; A SINGLE CENTRE STUDY

Dr Asif Islam, Dr Khawar Abbas, Dr Zainab Younus, Samran Khan Butt, Muhammad Naeem Shehzad

Background: Coronavirus appeared in China with unknown etiology. It was treated as a case of pneumonia at the end of 2019. Novel coronavirus 19 shares many similarities with the other infections caused by SARS-CoV such as fever (98%), myalgia or fatigue (44%), dry cough (76%), dyspnea (55%) at the prodromal phase. These symptoms occurred in 2-4 days of interaction 12. Some patients have upper respiratory disorders including sore throat and shortness of breath and diarrhea during COVID-19. This research aims to explore the Covid-19 positive cases in Punjab region of Pakistan and also aims to analyze the situation through bird eye analysis from month of February to June.

Methodology: This retrospective cohort study was conducted in the Islamabad diagnostic center of Punjab. The majority of cases in IDC came from different regions of Punjab from different socio-economic backgrounds. Identification of SARS-CoV-2 was achieved through a real-time reverse transcription PCR assay using primers targeted at regions of the viral genome. All the statistical analysis will perform by using SPSS version 23.0. All the patients will be categorized according to their age and gender. We used a two-tail t-test and also chi-square in order to demonstrate good results.

Results: We did not find any significant relationship between age and symptoms of COVID-19 which proves that anyone from any age group can easily caught infection.

Conclusion: This study concludes that there isn’t any specific co relation of COVID-19 infection with any age group and comorbidity. It can affect all ages equally and impartially to co-existing comorbids. There is no treatment found yet but still, every country forms its policies to prevent this disease. Pakistan's government announced some SOP's for its citizens in order to overcome the burden of this disease.

Keywords: COVID-19, Comorbidities, Common Symptoms

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