COVID-19 in India: Statewise analysis and prediction
10.2196/20341
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sg-nus-scholar.10635-1986622024-11-15T05:31:55Z COVID-19 in India: Statewise analysis and prediction Ghosh, P. Ghosh, R. Chakraborty, B. DUKE-NUS MEDICAL SCHOOL 30-day prediction COVID-19 Daily infection rate Disease modeling Exponential model Logistic model SIS model 10.2196/20341 JMIR Public Health and Surveillance 6 3 e20341 2021-08-23T03:18:21Z 2021-08-23T03:18:21Z 2020-08-12 Article Ghosh, P., Ghosh, R., Chakraborty, B. (2020-08-12). COVID-19 in India: Statewise analysis and prediction. JMIR Public Health and Surveillance 6 (3) : e20341. ScholarBank@NUS Repository. https://doi.org/10.2196/20341 23692960 https://scholarbank.nus.edu.sg/handle/10635/198662 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ JMIR Publications Inc. Scopus OA2020 |
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30-day prediction COVID-19 Daily infection rate Disease modeling Exponential model Logistic model SIS model |
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30-day prediction COVID-19 Daily infection rate Disease modeling Exponential model Logistic model SIS model Ghosh, P. Ghosh, R. Chakraborty, B. COVID-19 in India: Statewise analysis and prediction |
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10.2196/20341 |
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DUKE-NUS MEDICAL SCHOOL |
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DUKE-NUS MEDICAL SCHOOL Ghosh, P. Ghosh, R. Chakraborty, B. |
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Article |
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Ghosh, P. Ghosh, R. Chakraborty, B. |
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Ghosh, P. |
title |
COVID-19 in India: Statewise analysis and prediction |
title_short |
COVID-19 in India: Statewise analysis and prediction |
title_full |
COVID-19 in India: Statewise analysis and prediction |
title_fullStr |
COVID-19 in India: Statewise analysis and prediction |
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COVID-19 in India: Statewise analysis and prediction |
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covid-19 in india: statewise analysis and prediction |
publisher |
JMIR Publications Inc. |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/198662 |
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