COVID-19 and India: What Next?
| Autor: | Ramesh Behl, Manit Mishra |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Physics - Physics and Society
Coronavirus disease 2019 (COVID-19) General Computer Science Computer science media_common.quotation_subject 030231 tropical medicine Population FOS: Physical sciences Physics and Society (physics.soc-ph) Library and Information Sciences 03 medical and health sciences 0302 clinical medicine Originality 030212 general & internal medicine Quantitative Biology - Populations and Evolution education computer.programming_language media_common education.field_of_study business.industry Populations and Evolution (q-bio.PE) Python (programming language) Data science language.human_language Visualization Publishing Tamil FOS: Biological sciences language business Basic reproduction number computer |
| Zdroj: | Information Discovery and Delivery |
| DOI: | 10.48550/arxiv.2007.13523 |
| Popis: | The study carries out predictive modeling based on publicly available COVID-19 data for the duration 01 April to 20 June 2020 pertaining to India and five of its most infected states: Maharashtra, Tamil Nadu, Delhi, Gujarat, and Rajasthan using susceptible, infected, recovered, and dead (SIRD) model. The basic reproduction number R0 is derived by exponential growth method using RStudio package R0. The differential equations reflecting SIRD model have been solved using Python 3.7.4 on Jupyter Notebook platform. For visualization, Python Matplotlib 3.2.1 package is used. The study offers insights on peak-date, peak number of COVID-19 infections, and end-date pertaining to India and five of its states. The results could be leveraged by political leadership, health authorities, and industry doyens for policy planning and execution. Comment: 20 pages, 3 figures, 3 tables |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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