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Path: ...!weretis.net!feeder8.news.weretis.net!reader5.news.weretis.net!news.solani.org!.POSTED!not-for-mail From: Mild Shock <janburse@fastmail.fm> Newsgroups: sci.math Subject: =?UTF-8?Q?California=e2=80=99s_COVID-19_surpassed_last_summer?= =?UTF-8?Q?=e2=80=99s_peak_=28Re:_Whats_the_SIR-Model_of_Brain_Loss=3f_=28Re?= =?UTF-8?Q?:_Corona_isn't_over_2024=29=29?= Date: Mon, 29 Jul 2024 22:52:12 +0200 Message-ID: <v88vdo$hcn0$3@solani.org> References: <v78r0j$3ta$2@solani.org> <v88unp$hcff$3@solani.org> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Injection-Date: Mon, 29 Jul 2024 20:52:08 -0000 (UTC) Injection-Info: solani.org; logging-data="570080"; mail-complaints-to="abuse@news.solani.org" User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:91.0) Gecko/20100101 Firefox/91.0 SeaMonkey/2.53.18.2 Cancel-Lock: sha1:8vB1c6R0pYoI3NmVrnuObSjlIWc= X-User-ID: eJwNy8EBwCAIA8CVEIGacaAm+4/Q3v9y16r3icqKVOpFz8JdDVmG36mjE07VnhbY12VKThDhRgxE/sUE4dgHekgWnQ== In-Reply-To: <v88unp$hcff$3@solani.org> Bytes: 3190 Lines: 72 Hi, The intersting thimg about SIR-Models they can be used to detect an epidemic: With the help of the SIR model, we can determine for given initial values I_0,S_0,\beta , \gamma whether the course of the disease will result in an epidemic. https://de.wikipedia.org/wiki/SIR-Modell#Mathematische_Behandlung Maybe we should look at Covid, and not Long-Covid. But modelling of Long-Covid would be also intersting. Currently I am reading: > California’s COVID-19 test positivity rate has surpassed last summer’s peak, largely fueled by the FLiRT variants, particularly KP.3.1.1. The rapid spread of these strains suggests a likely rise in cases in the weeks ahead. https://www.latimes.com/california/story/2024-07-29/covid-surging-in-california-as-virus-levels-in-sewage-near-two-year-summer-high Bye Mild Shock schrieb: > Hi, > > During the early covid pandemic a macabre pass > time was to calibrate the SIR-model and try to > make predictions: > > susceptible-infected-removed model > https://de.wikipedia.org/wiki/SIR-Modell > > But hey, when do you have the chance to work > with real data! But now with Long-Covid, what > would we measure? What is the "removed" state > > in Long-Covid. Freed from regular work? > > Bye > > Mild Shock schrieb: >> >> Hi, >> >> "Long Covid" and "Covid 19" trending on Twitter. >> They have interresting tips: >> >> Reminder: If you recently had covid, the recommen- >> dation is that you not exercise for at least 6-8 >> weeks--even if your symptoms were mild--to not >> put more stress on your body, which could lead >> to Long COVID. Conserve your energy as much as you can. >> https://twitter.com/milanaldebaran/status/1813363693821812813 >> >> LoL >> >> Bye >> >> Mild Shock schrieb: >> > Hi, >> > >> > Forget face masks, it might be the >> > beginning of a new experience for the world! >> > >> > Coronaviruses are oculotropic >> > https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241406/ >> > >> > Bye >