{"id":568,"date":"2020-08-27T13:41:57","date_gmt":"2020-08-27T20:41:57","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=568"},"modified":"2020-09-01T13:43:00","modified_gmt":"2020-09-01T20:43:00","slug":"particle-modeling-of-the-spreading-of-coronavirus-disease-covid-19","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/08\/27\/particle-modeling-of-the-spreading-of-coronavirus-disease-covid-19\/","title":{"rendered":"Particle Modeling of the Spreading of Coronavirus Disease (COVID-19)"},"content":{"rendered":"<ul>\n<li>De-Leon and Pederiva present a kinetic Monte Carlo algorithm that shows that a cyclic schedule of no-restrictions\/lockdowns that includes at least ten days of lockdown for each cycle can help control SARS-CoV-2 transmission. In particular, this model reduces the infection rate when accompanied by social distancing and complete isolation of symptomatic patients. The comparison between model prediction\u00a0and active cases in Sweden (normalized) from the beginning of March shows the model\u2019s ability to predict the spread of the virus for different societies.<\/li>\n<\/ul>\n<p><em>De-Leon and Pederiva. (Aug 20, 2020). Particle Modeling of the Spreading of Coronavirus Disease (COVID-19). Physics of Fluids. <a href=\"https:\/\/doi.org\/10.1063\/5.0020565\">https:\/\/doi.org\/10.1063\/5.0020565<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>De-Leon and Pederiva present a kinetic Monte Carlo algorithm that shows that a cyclic schedule of no-restrictions\/lockdowns that includes at least ten days of lockdown for each cycle can help control SARS-CoV-2 transmission. In particular, this model reduces the infection rate when accompanied by social distancing and complete isolation of symptomatic patients. The comparison between&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/08\/27\/particle-modeling-of-the-spreading-of-coronavirus-disease-covid-19\/\">Read more<\/a><\/div>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[47,38],"topic":[23],"class_list":["post-568","post","type-post","status-publish","format-standard","hentry","category-article-summary","tag-modeling-prediction","tag-transmission","topic-modeling-and-prediction"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/568","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=568"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/568\/revisions"}],"predecessor-version":[{"id":569,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/568\/revisions\/569"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=568"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=568"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=568"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=568"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}