Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?

dc.creatorAtangana, Abdon
dc.date.accessioned2020-07-31T19:20:24Z
dc.date.accessioned2022-09-23T18:41:59Z
dc.date.available2020-07-31T19:20:24Z
dc.date.available2022-09-23T18:41:59Z
dc.date.created2020-07-31T19:20:24Z
dc.identifier0960-0779
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0960077920302605?via%3Dihub#keys0001
dc.identifierhttp://hdl.handle.net/20.500.12010/11480
dc.identifierhttps://doi.org/10.1016/j.chaos.2020.109860
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3505791
dc.publisherChaos, Solitons & Fractals
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectLock-down
dc.subjectFractal-fractional differential operators
dc.subjectNumerical approximation
dc.titleModelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?


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