Titlebook: Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis; Subhendu Kumar Pani,Sujata Dash,Fran

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Smart Sensing for COVID-19 Pandemic,process, surveillance, and health system. The role of artificial intelligence in technology framework and stratagems were highlighted in terms of rendering of medical assistance, forecasting infection threats, and investigating diagnosis outcomes. Furthermore, detailed information was provided on th

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eHealth, mHealth, and Telemedicine for COVID-19 Pandemic, the role of relevant stakeholders, policy makers, and healthcare providers in obtaining relevant appreciated awareness in the regional dissemination of infection load and healthcare consumption that could enhanced the management of COVID-19 are discussed.

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Bioinformatics in Diagnosis of COVID-19,o giving an impetus to therapeutics action plans due to identification of COVID-19 biomarkers. This has also paved the path for bioinformatics strategies for drug repurposing to combat this dreadful infection..This chapter focuses on the various bioinformatics and computational tools developed and u

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Intelligent Systems for Dengue, Chikungunya, and Zika Temporal and Spatio-Temporal Forecasting: A Cs in basic sanitation also contribute to the vector’s proliferation in tropical and subtropical countries. Brazil, which is a tropical country, is very affected by arboviruses, such as dengue, malaria, and yellow fever. With climate change and the increase in the number and frequency of internationa

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Machine Learning Approaches for Temporal and Spatio-Temporal Covid-19 Forecasting: A Brief Review ato lead the decision-making during the pandemic. Several initiatives have made use of Artificial Intelligence, and models were designed using machine learning algorithms with features for temporal and spatio-temporal investigation and prediction of cases of Covid-19. Among the algorithms used are Su

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