FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048488785> ?p ?o ?g. }

• W3048488785 endingPage "220" @default.
• W3048488785 startingPage "220" @default.
• W3048488785 abstract "A SIRU-type epidemic model is employed for the prediction of the COVID-19 epidemy evolution in Brazil, and analyze the influence of public health measures on simulating the control of this infectious disease. The proposed model allows for a time variable functional form of both the transmission rate and the fraction of asymptomatic infectious individuals that become reported symptomatic individuals, to reflect public health interventions, towards the epidemy control. An exponential analytical behavior for the accumulated reported cases evolution is assumed at the onset of the epidemy, for explicitly estimating initial conditions, while a Bayesian inference approach is adopted for the estimation of parameters by employing the direct problem model with the data from the first phase of the epidemy evolution, represented by the time series for the reported cases of infected individuals. The evolution of the COVID-19 epidemy in China is considered for validation purposes, by taking the first part of the dataset of accumulated reported infectious individuals to estimate the related parameters, and retaining the rest of the evolution data for direct comparison with the predicted results. Then, the available data on reported cases in Brazil from 15 February until 29 March, is used for estimating parameters and then predicting the first phase of the epidemy evolution from these initial conditions. The data for the reported cases in Brazil from 30 March until 23 April are reserved for validation of the model. Then, public health interventions are simulated, aimed at evaluating the effects on the disease spreading, by acting on both the transmission rate and the fraction of the total number of the symptomatic infectious individuals, considering time variable exponential behaviors for these two parameters. This first constructed model provides fairly accurate predictions up to day 65 below 5% relative deviation, when the data starts detaching from the theoretical curve. From the simulated public health intervention measures through five different scenarios, it was observed that a combination of careful control of the social distancing relaxation and improved sanitary habits, together with more intensive testing for isolation of symptomatic cases, is essential to achieve the overall control of the disease and avoid a second more strict social distancing intervention. Finally, the full dataset available by the completion of the present work is employed in redefining the model to yield updated epidemy evolution estimates." @default.
• W3048488785 created "2020-08-18" @default.
• W3048488785 creator A5015673730 @default.
• W3048488785 creator A5035929676 @default.
• W3048488785 creator A5091051672 @default.
• W3048488785 date "2020-08-12" @default.
• W3048488785 modified "2023-09-28" @default.
• W3048488785 title "Mathematical Parameters of the COVID-19 Epidemic in Brazil and Evaluation of the Impact of Different Public Health Measures" @default.
• W3048488785 cites W2148162164 @default.
• W3048488785 cites W2397456551 @default.
• W3048488785 cites W2784168313 @default.
• W3048488785 cites W2955428105 @default.
• W3048488785 cites W2971892626 @default.
• W3048488785 cites W3003668884 @default.
• W3048488785 cites W3005301080 @default.
• W3048488785 cites W3006028839 @default.
• W3048488785 cites W3007580879 @default.
• W3048488785 cites W3010233963 @default.
• W3048488785 cites W3015488130 @default.
• W3048488785 cites W3016093367 @default.
• W3048488785 cites W3016665280 @default.
• W3048488785 cites W3018422079 @default.
• W3048488785 cites W3023441241 @default.
• W3048488785 cites W3027964636 @default.
• W3048488785 cites W3031540001 @default.
• W3048488785 cites W3033665875 @default.
• W3048488785 cites W3036178375 @default.
• W3048488785 doi "https://doi.org/10.3390/biology9080220" @default.
• W3048488785 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7464380" @default.
• W3048488785 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32806613" @default.
• W3048488785 hasPublicationYear "2020" @default.
• W3048488785 type Work @default.
• W3048488785 sameAs 3048488785 @default.
• W3048488785 citedByCount "20" @default.
• W3048488785 countsByYear W30484887852020 @default.
• W3048488785 countsByYear W30484887852021 @default.
• W3048488785 countsByYear W30484887852022 @default.
• W3048488785 countsByYear W30484887852023 @default.
• W3048488785 crossrefType "journal-article" @default.
• W3048488785 hasAuthorship W3048488785A5015673730 @default.
• W3048488785 hasAuthorship W3048488785A5035929676 @default.
• W3048488785 hasAuthorship W3048488785A5091051672 @default.
• W3048488785 hasBestOaLocation W30484887851 @default.
• W3048488785 hasConcept C105795698 @default.
• W3048488785 hasConcept C107673813 @default.
• W3048488785 hasConcept C118552586 @default.
• W3048488785 hasConcept C127413603 @default.
• W3048488785 hasConcept C138816342 @default.
• W3048488785 hasConcept C141071460 @default.
• W3048488785 hasConcept C142724271 @default.
• W3048488785 hasConcept C144024400 @default.
• W3048488785 hasConcept C149923435 @default.
• W3048488785 hasConcept C154945302 @default.
• W3048488785 hasConcept C159110408 @default.
• W3048488785 hasConcept C160234255 @default.
• W3048488785 hasConcept C201995342 @default.
• W3048488785 hasConcept C207201462 @default.
• W3048488785 hasConcept C27415008 @default.
• W3048488785 hasConcept C2776214188 @default.
• W3048488785 hasConcept C2777910003 @default.
• W3048488785 hasConcept C2779134260 @default.
• W3048488785 hasConcept C2994107952 @default.
• W3048488785 hasConcept C3008058167 @default.
• W3048488785 hasConcept C33923547 @default.
• W3048488785 hasConcept C41008148 @default.
• W3048488785 hasConcept C524204448 @default.
• W3048488785 hasConcept C71924100 @default.
• W3048488785 hasConcept C86803240 @default.
• W3048488785 hasConcept C96250715 @default.
• W3048488785 hasConceptScore W3048488785C105795698 @default.
• W3048488785 hasConceptScore W3048488785C107673813 @default.
• W3048488785 hasConceptScore W3048488785C118552586 @default.
• W3048488785 hasConceptScore W3048488785C127413603 @default.
• W3048488785 hasConceptScore W3048488785C138816342 @default.
• W3048488785 hasConceptScore W3048488785C141071460 @default.
• W3048488785 hasConceptScore W3048488785C142724271 @default.
• W3048488785 hasConceptScore W3048488785C144024400 @default.
• W3048488785 hasConceptScore W3048488785C149923435 @default.
• W3048488785 hasConceptScore W3048488785C154945302 @default.
• W3048488785 hasConceptScore W3048488785C159110408 @default.
• W3048488785 hasConceptScore W3048488785C160234255 @default.
• W3048488785 hasConceptScore W3048488785C201995342 @default.
• W3048488785 hasConceptScore W3048488785C207201462 @default.
• W3048488785 hasConceptScore W3048488785C27415008 @default.
• W3048488785 hasConceptScore W3048488785C2776214188 @default.
• W3048488785 hasConceptScore W3048488785C2777910003 @default.
• W3048488785 hasConceptScore W3048488785C2779134260 @default.
• W3048488785 hasConceptScore W3048488785C2994107952 @default.
• W3048488785 hasConceptScore W3048488785C3008058167 @default.
• W3048488785 hasConceptScore W3048488785C33923547 @default.
• W3048488785 hasConceptScore W3048488785C41008148 @default.
• W3048488785 hasConceptScore W3048488785C524204448 @default.
• W3048488785 hasConceptScore W3048488785C71924100 @default.
• W3048488785 hasConceptScore W3048488785C86803240 @default.
• W3048488785 hasConceptScore W3048488785C96250715 @default.
• W3048488785 hasIssue "8" @default.
• W3048488785 hasLocation W30484887851 @default.
• W3048488785 hasLocation W30484887852 @default.

• next