About: Sustaining the economy under partial lockdown: A pandemic centric approach

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sustaining the economy under partial lockdown: A pandemic centric approach
Creator	Saurabh, Saket Gaikwad, Bhagyashree Lokesh, Nithilaksh Trivedi, Ayush
Source	ArXiv
abstract	As the world fights to contain and control the spread of the Novel Coronavirus, countries are imposing severe measures from restrictions on travel and social gatherings to complete lockdowns. Lockdowns, though effective in controlling the virus spread, leaves a massive economic impact. In a country like India with 21.9 % of its population below the poverty line, lockdowns have a direct impact on the livelihood of a large part of the population. Our approach conforms to healthcare and state practices of reducing human to human contact, by optimizing the lockdown strategy. We propose resuming economic activities while keeping healthcare facilities from being overwhelmed. We model the coronavirus pandemic as SEIR dynamic model for a set of states as nodes with certain population and analyze the model output before and after complete lockdown. Social distancing that people would willingly follow, in the no lockdown situation is modeled as being influenced with the knowledge of the current number of infection by imitating Granovetter threshold model. We then provide optimal lockdown policy solutions for the duration of ten weeks using NSGA-II optimization algorithm. While there are many studies that focus on modelling the transmission of COVID-19, ours is one of the few attempts to strike a balance between number of infections and economic operations.
has issue date	2020-05-17(xsd:dateTime)
has license	arxiv
sha1sum (hex)	3aa9d709039cdb0173837abf7e08191f2ae0565f
resource representing a document's title	Sustaining the economy under partial lockdown: A pandemic centric approach
resource representing a document's body	covid:3aa9d709039cdb0173837abf7e08191f2ae0565f#body_text
is schema:about of	named entity 'SOCIAL' named entity 'SEVERE' named entity 'HEALTHCARE' named entity 'ACTIVITIES' named entity 'INFECTION' named entity 'COVID-19' named entity 'SET' named entity 'IMF' named entity 'infection' named entity 'COVID-19' named entity 'morbidity' named entity 'NSGA-II' named entity 'production function' named entity 'infection rate' named entity 'social distancing' named entity 'life support' named entity 'SEIR' named entity 'virus' named entity 'infectivity' named entity 'social distancing' named entity 'social distancing' named entity 'aggregate data' named entity 'public health' named entity 'India' named entity 'COVID-19' named entity 'dynamic model' named entity 'partial lockdown' named entity 'India' named entity 'algorithm' named entity 'dynamic model' named entity 'objective functions' named entity 'genetic algorithm' named entity 'COVID-19' named entity 'threshold model' named entity 'time variance' named entity 'SEIR' named entity 'differential equation' named entity 'Operations Research' named entity 'dynamic model' named entity 'COVID-19' named entity 'Social distancing' named entity 'coronavirus pandemic' named entity 'social distancing' named entity 'poverty line' named entity 'social distancing' named entity 'Machine learning' named entity 'Covid-19 pandemic' named entity 'COVID-19' named entity 'COVID-19' named entity 'social distancing' named entity 'social distancing' named entity 'Shared variance' named entity 'population dynamics' named entity 'Covid-19' named entity 'COVID-19' named entity 'SEIR' named entity 'Deep learning' named entity 'infection curve' named entity 'directly proportional' named entity 'Cobb-Douglas' named entity 'SEIR' named entity 'WHO' named entity 'positive correlation' named entity 'infection' named entity 'WHO' named entity 'social distancing' named entity 'antibodies' named entity 'international trade' named entity 'incubation period' named entity 'WHO' named entity 'infection' named entity 'dynamic model' named entity 'disease transmission' named entity 'infection' named entity 'incubation period' named entity 'social distancing' named entity 'SEIR' named entity 'Ayush' named entity 'virus' named entity 'Social distancing' named entity 'public health' named entity 'social distancing' named entity 'normal distribution' named entity 'infection'

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