Abstract
AbstractCoronavirus disease 19 (Covid-19) is causing a dramatic impact on human life worldwide. As of June 11 2021, later one has attributed more than 174 million confirmed cases and over 3.5 million deaths globally. Nonetheless, a World Bank Group flagship report features Covid-19 induced global crisis as the strongest post-recession since World WarII. Currently, all approved therapeutics or vaccines are strictly allowed for emergency use. Hence, in the absence of pharmaceutical interventions, it is vital to analyze data set covering the growth rates of positive human cases, number of recoveries, other factors, and future strategies to manage the growth of fatal Covid-19 effectively. The Uttarakhand state of India is snuggled in the lap of the Himalayas and occupies more people than Israel, Switzerland, Hong Kong, etc. This study analyzed state Covid-19 data, fetched from an authenticated government repository using Python 3.9 from April 1, 2020, to February 28, 2021. In the first wave, plain areas of Uttarakhand covering the districts Dehradun, Haridwar, Nainital, and U. S. Nagar were severely affected and reported peak positive cases during the 21st – 26th week. Other hands, the hilly terrains of Uttarakhand districts, including Chamoli, Pauri Garhwal, and Rudraprayag, reported a high number of positive cases between the 30th and 31st week, and other hilly districts reported an increase in Covid-19 cases during the 34th to 38th week. The highest recovery rate was attributed to the hilly district Rudraprayag. The analysis also revealed that a very high doubling rate was seen during the last week of May to the first week of Jun 2020. At last, based on this blueprint, we have suggested 6-points solutions for preventing the next pandemic.
Publisher
Cold Spring Harbor Laboratory