FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3151302034> ?p ?o ?g. }

• W3151302034 endingPage "e0247272" @default.
• W3151302034 startingPage "e0247272" @default.
• W3151302034 abstract "The distinct ways the COVID-19 pandemic has been unfolding in different countries and regions suggest that local societal and governmental structures play an important role not only for the baseline infection rate, but also for short and long-term reactions to the outbreak. We propose to investigate the question of how societies as a whole, and governments in particular, modulate the dynamics of a novel epidemic using a generalization of the SIR model, the reactive SIR (short-term and long-term reaction) model. We posit that containment measures are equivalent to a feedback between the status of the outbreak and the reproduction factor. Short-term reaction to an outbreak corresponds in this framework to the reaction of governments and individuals to daily cases and fatalities. The reaction to the cumulative number of cases or deaths, and not to daily numbers, is captured in contrast by long-term reaction. We present the exact phase space solution of the controlled SIR model and use it to quantify containment policies for a large number of countries in terms of short and long-term control parameters. We find increased contributions of long-term control for countries and regions in which the outbreak was suppressed substantially together with a strong correlation between the strength of societal and governmental policies and the time needed to contain COVID-19 outbreaks. Furthermore, for numerous countries and regions we identified a predictive relation between the number of fatalities within a fixed period before and after the peak of daily fatality counts, which allows to gauge the cumulative medical load of COVID-19 outbreaks that should be expected after the peak. These results suggest that the proposed model is applicable not only for understanding the outbreak dynamics, but also for predicting future cases and fatalities once the effectiveness of outbreak suppression policies is established with sufficient certainty. Finally, we provide a web app ( https://itp.uni-frankfurt.de/covid-19/ ) with tools for visualising the phase space representation of real-world COVID-19 data and for exporting the preprocessed data for further analysis." @default.
• W3151302034 created "2021-04-13" @default.
• W3151302034 creator A5041243848 @default.
• W3151302034 creator A5066674921 @default.
• W3151302034 creator A5075703099 @default.
• W3151302034 creator A5076881344 @default.
• W3151302034 creator A5077904316 @default.
• W3151302034 date "2021-04-01" @default.
• W3151302034 modified "2023-09-26" @default.
• W3151302034 title "Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities" @default.
• W3151302034 cites W1794262742 @default.
• W3151302034 cites W1878853999 @default.
• W3151302034 cites W1968344341 @default.
• W3151302034 cites W2002685202 @default.
• W3151302034 cites W2004882990 @default.
• W3151302034 cites W2039696702 @default.
• W3151302034 cites W2047106217 @default.
• W3151302034 cites W2075892055 @default.
• W3151302034 cites W2155317298 @default.
• W3151302034 cites W2163753340 @default.
• W3151302034 cites W2619381903 @default.
• W3151302034 cites W2796079430 @default.
• W3151302034 cites W2963356986 @default.
• W3151302034 cites W3006065484 @default.
• W3151302034 cites W3012809680 @default.
• W3151302034 cites W3012864042 @default.
• W3151302034 cites W3013080757 @default.
• W3151302034 cites W3013758358 @default.
• W3151302034 cites W3014802104 @default.
• W3151302034 cites W3015292533 @default.
• W3151302034 cites W3023190093 @default.
• W3151302034 cites W3036882784 @default.
• W3151302034 cites W3037163353 @default.
• W3151302034 cites W3037442204 @default.
• W3151302034 cites W3048229172 @default.
• W3151302034 cites W3084921290 @default.
• W3151302034 cites W3099479832 @default.
• W3151302034 cites W3123259284 @default.
• W3151302034 cites W3135257712 @default.
• W3151302034 cites W3138557480 @default.
• W3151302034 cites W3162972923 @default.
• W3151302034 doi "https://doi.org/10.1371/journal.pone.0247272" @default.
• W3151302034 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8016333" @default.
• W3151302034 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33793551" @default.
• W3151302034 hasPublicationYear "2021" @default.
• W3151302034 type Work @default.
• W3151302034 sameAs 3151302034 @default.
• W3151302034 citedByCount "3" @default.
• W3151302034 countsByYear W31513020342021 @default.
• W3151302034 countsByYear W31513020342022 @default.
• W3151302034 crossrefType "journal-article" @default.
• W3151302034 hasAuthorship W3151302034A5041243848 @default.
• W3151302034 hasAuthorship W3151302034A5066674921 @default.
• W3151302034 hasAuthorship W3151302034A5075703099 @default.
• W3151302034 hasAuthorship W3151302034A5076881344 @default.
• W3151302034 hasAuthorship W3151302034A5077904316 @default.
• W3151302034 hasBestOaLocation W31513020341 @default.
• W3151302034 hasConcept C105795698 @default.
• W3151302034 hasConcept C116675565 @default.
• W3151302034 hasConcept C121332964 @default.
• W3151302034 hasConcept C134306372 @default.
• W3151302034 hasConcept C142724271 @default.
• W3151302034 hasConcept C144024400 @default.
• W3151302034 hasConcept C149782125 @default.
• W3151302034 hasConcept C149923435 @default.
• W3151302034 hasConcept C159047783 @default.
• W3151302034 hasConcept C177148314 @default.
• W3151302034 hasConcept C187316915 @default.
• W3151302034 hasConcept C204264503 @default.
• W3151302034 hasConcept C205649164 @default.
• W3151302034 hasConcept C2779134260 @default.
• W3151302034 hasConcept C2908647359 @default.
• W3151302034 hasConcept C3008058167 @default.
• W3151302034 hasConcept C33923547 @default.
• W3151302034 hasConcept C524204448 @default.
• W3151302034 hasConcept C61797465 @default.
• W3151302034 hasConcept C62520636 @default.
• W3151302034 hasConcept C71924100 @default.
• W3151302034 hasConcept C89623803 @default.
• W3151302034 hasConceptScore W3151302034C105795698 @default.
• W3151302034 hasConceptScore W3151302034C116675565 @default.
• W3151302034 hasConceptScore W3151302034C121332964 @default.
• W3151302034 hasConceptScore W3151302034C134306372 @default.
• W3151302034 hasConceptScore W3151302034C142724271 @default.
• W3151302034 hasConceptScore W3151302034C144024400 @default.
• W3151302034 hasConceptScore W3151302034C149782125 @default.
• W3151302034 hasConceptScore W3151302034C149923435 @default.
• W3151302034 hasConceptScore W3151302034C159047783 @default.
• W3151302034 hasConceptScore W3151302034C177148314 @default.
• W3151302034 hasConceptScore W3151302034C187316915 @default.
• W3151302034 hasConceptScore W3151302034C204264503 @default.
• W3151302034 hasConceptScore W3151302034C205649164 @default.
• W3151302034 hasConceptScore W3151302034C2779134260 @default.
• W3151302034 hasConceptScore W3151302034C2908647359 @default.
• W3151302034 hasConceptScore W3151302034C3008058167 @default.
• W3151302034 hasConceptScore W3151302034C33923547 @default.
• W3151302034 hasConceptScore W3151302034C524204448 @default.
• W3151302034 hasConceptScore W3151302034C61797465 @default.

• next