Since December 2019 the world is experiencing a deadly disease caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease associated with this virus is known as COVID-19. This paper focuses on COVID-19 based on freely available datasets including the ones in Kaggle repository. Data analytics is provided on a number of aspects of COVID-19 including the symptoms of this disease, the difference of COVID-19 with other diseases caused by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and swine flu. The impact of temperature on the spread of COVID-19 is also discussed based on the datasets. Moreover, data visualization is provided on the comparison of infections in males/females which shows that males are more prone to this disease and the older people are more at risk. Based on the data, the pattern in the increase of confirmed cases is found to be an exponential curve in nature. Finally, the relative number of confirmed, recovered and death cases in different countries are shown with data visualization.
Background: Acute myocardial infarction (AMI) has been considered the leading cause of death and disability all over the globe where Bangladesh is not an exception. Early medical attention seeking behavior is decisive for saving valuable lives and reducing further complications. Objectives: Current research aimed to identify the factors related to delay in seeking medical care among AMI sufferers. Methods: This descriptive cross-sectional study was carried out by face-to-face interview from January 2017 to June 2018. A total of 120 patients were conveniently recruited from Ibrahim Cardiac Hospital and Research Institute, which is a tertiary level hospital in Dhaka. Delay in medical care seeking time was investigated using a pretested semi-structured questionnaire. Data were evaluated by Statistical Package for the Social Science version 20 and the relationship was assessed by using t-test. Results: Respondents who lived in the rural area (P = 0.01), whose pain duration less than 6 hours (P = 0.01) and radiation of pain (P = 0.02), took self-treatment (P = 0.04), misinterpretation of symptoms (P = 0.04), living long distance (P = 0.01), lack of suitable transport (P = 0.04), and faced traffic jam (P = 0.00) showed significantly higher delay in seeking medical care. Conclusions: It is necessary to develop a strategy for reducing delay in medical care seeking in patients with AMI to reduce cardiovascular mortality and morbidity. Proper education regarding major cardiovascular events could be an effective option.
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