Author: Bhalchandra S Pujari; Snehal M Shekatkar
Title: Multi-city modeling of epidemics using spatial networks: Application to 2019-nCov (COVID-19) coronavirus in India Document date: 2020_3_17
ID: hxuyaany_1
Snippet: Following its onset in Wuhan, China, the pandemic of 2019-nCov (COVID-19) coronavirus has wreaked havoc in various countries 1,2 . In less than three months the epidemic has engulfed over 100 nations with more than 100,000 confirmed infections and 4000 deaths 3, 4 . Although the early cases indicate the illness is less severe than other coronaviruses like SARS-CoV and MERS-CoV, the evidences of rapid human-tohuman transmission indicates that 2019.....
Document: Following its onset in Wuhan, China, the pandemic of 2019-nCov (COVID-19) coronavirus has wreaked havoc in various countries 1,2 . In less than three months the epidemic has engulfed over 100 nations with more than 100,000 confirmed infections and 4000 deaths 3, 4 . Although the early cases indicate the illness is less severe than other coronaviruses like SARS-CoV and MERS-CoV, the evidences of rapid human-tohuman transmission indicates that 2019-nCoV is more contagious than others 5 . Thus, it is utmost necessary to develop models that are computationally efficient yet realistic enough to assist medical personals, policy makers and general public.
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