Chintan Nanda

Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model

Ramesh Singh, Meenu Rani, Akshaya Srikanth Bhagavathula et al. · JMIR Public Health and Surveillance · 2020 · 239 citations · Full text

Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020: ARIMA Model with Machine Learning Approach

Pavan Kumar, Himangshu Kalita, Shashikanta Patairiya et al. · 2020 · 114 citations · Full text

Machine Learning Approach, Power Exponential Growth, Epidemiological Dynamic +26

Forecasting COVID-19 impact in India using pandemic waves Nonlinear Growth Models

Pavan Kumar, Ramesh Singh, Chintan Nanda et al. · 2020 · 30 citations · Full text

Epidemiological Dynamic, Computational Epidemiology, Covid-19 Epidemiology +21

SPATIO-TEMPORAL DISTRIBUTION OF POLLUTANT TRACE GASES DURING DIWALI OVER INDIA

Chintan Nanda, Yogesh Kant, Amitesh Gupta et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2018 · 16 citations · Full text

Environmental Monitoring, Engineering, Air Pollution Measurement +17

Geospatial View of Air Pollution and Health Risk Over North Indian Region in COVID-19 Scenario

Dharmendra Singh, Meenakshi Dahiya, Chintan Nanda · Journal of the Indian Society of Remote Sensing · 2022 · 10 citations · Full text