Risk assessment of COVID-19 pandemic using deep learning model for J&K in India: a district level analysis.

ABSTRACT: The coronavirus disease 2019 (COVID-19) is an ongoing pandemic with high morbidity and mortality rates. Current epidemiological studies urge the need of implementing sophisticated methods to appraise the evolution of COVID-19. In this study, we analysed the data for 228 days (1 May to 15 December 2020) of daily incidence of COVID-19 cases for a district level analysis in the region of Jammu and Kashmir in the northern Himalayan belt of India. We used a deep learning-based incremental learning technique to model the current trend of COVID-19 transmission and to predict the future trends with 60-day forecasting. The results not only indicate high rates of morbidity and mortality but also forecast high rise in the incidence of COVID-19 in different districts of the study region. We used geogr

SUBMITTER: Wani MA 

PROVIDER: S-EPMC8536905 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature