FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010748696> ?p ?o ?g. }

• W3010748696 endingPage "36" @default.
• W3010748696 startingPage "19" @default.
• W3010748696 abstract "Background Since receiving unexplained pneumonia patients at the Jinyintan Hospital in Wuhan, China in December 2019, the new coronavirus (COVID-19) has rapidly spread in Wuhan, China and spread to the entire China and some neighboring countries. We establish the dynamics model of infectious diseases and time series model to predict the trend and short-term prediction of the transmission of COVID-19, which will be conducive to the intervention and prevention of COVID-19 by departments at all levels in mainland China and buy more time for clinical trials. Methods Based on the transmission mechanism of COVID-19 in the population and the implemented prevention and control measures, we establish the dynamic models of the six chambers, and establish the time series models based on different mathematical formulas according to the variation law of the original data. Findings The results based on time series analysis and kinetic model analysis show that the cumulative diagnosis of pneumonia of COVID-19 in mainland China can reach 36,343 after one week (February 8, 2020), and the number of basic regenerations can reach 4.01. The cumulative number of confirmed diagnoses will reach a peak of 87,701 on March 15, 2020; the number of basic regenerations in Wuhan will reach 4.3, and the cumulative number of confirmed cases in Wuhan will reach peak at 76,982 on March 20. Whether in Mainland China or Wuhan, both the infection rate and the basic regeneration number of COVID-19 continue to decline, and the results of the sensitivity analysis show that the time it takes for a suspected population to be diagnosed as a confirmed population can have a significant impact on the peak size and duration of the cumulative number of diagnoses. Increased mortality leads to additional cases of pneumonia, while increased cure rates are not sensitive to the cumulative number of confirmed cases. Interpretation Chinese governments at various levels have intervened in many ways to control the epidemic. According to the results of the model analysis, we believe that the emergency intervention measures adopted in the early stage of the epidemic, such as blocking Wuhan, restricting the flow of people in Hubei province, and increasing the support to Wuhan, had a crucial restraining effect on the original spread of the epidemic. It is a very effective prevention and treatment method to continue to increase investment in various medical resources to ensure that suspected patients can be diagnosed and treated in a timely manner. Based on the results of the sensitivity analysis, we believe that enhanced treatment of the bodies of deceased patients can be effective in ensuring that the bodies themselves and the process do not result in additional viral infections, and once the pneumonia patients with the COVID-19 are cured, the antibodies left in their bodies may prevent them from reinfection COVID-19 for a longer period of time." @default.
• W3010748696 created "2020-03-23" @default.
• W3010748696 creator A5039575473 @default.
• W3010748696 creator A5043158645 @default.
• W3010748696 creator A5048399437 @default.
• W3010748696 creator A5056589336 @default.
• W3010748696 creator A5058659834 @default.
• W3010748696 creator A5074285188 @default.
• W3010748696 creator A5080042635 @default.
• W3010748696 creator A5086945200 @default.
• W3010748696 creator A5089611548 @default.
• W3010748696 date "2020-03-20" @default.
• W3010748696 modified "2023-10-05" @default.
• W3010748696 title "Mathematical Modeling and Epidemic Prediction of COVID-19 and its Significance to Epidemic Prevention and Control Measures" @default.
• W3010748696 cites W142993775 @default.
• W3010748696 cites W2046759954 @default.
• W3010748696 cites W2057405061 @default.
• W3010748696 cites W2068015237 @default.
• W3010748696 cites W2096145431 @default.
• W3010748696 cites W2105444210 @default.
• W3010748696 cites W2124437815 @default.
• W3010748696 cites W2165077131 @default.
• W3010748696 cites W2530978036 @default.
• W3010748696 cites W2775155156 @default.
• W3010748696 cites W3000883359 @default.
• W3010748696 cites W3001971765 @default.
• W3010748696 cites W3002539152 @default.
• W3010748696 cites W3002747665 @default.
• W3010748696 cites W3002764620 @default.
• W3010748696 doi "https://doi.org/10.14302/issn.2766-8681.jcsr-21-3719" @default.
• W3010748696 hasPublicationYear "2020" @default.
• W3010748696 type Work @default.
• W3010748696 sameAs 3010748696 @default.
• W3010748696 citedByCount "11" @default.
• W3010748696 countsByYear W30107486962020 @default.
• W3010748696 countsByYear W30107486962021 @default.
• W3010748696 countsByYear W30107486962022 @default.
• W3010748696 countsByYear W30107486962023 @default.
• W3010748696 crossrefType "journal-article" @default.
• W3010748696 hasAuthorship W3010748696A5039575473 @default.
• W3010748696 hasAuthorship W3010748696A5043158645 @default.
• W3010748696 hasAuthorship W3010748696A5048399437 @default.
• W3010748696 hasAuthorship W3010748696A5056589336 @default.
• W3010748696 hasAuthorship W3010748696A5058659834 @default.
• W3010748696 hasAuthorship W3010748696A5074285188 @default.
• W3010748696 hasAuthorship W3010748696A5080042635 @default.
• W3010748696 hasAuthorship W3010748696A5086945200 @default.
• W3010748696 hasAuthorship W3010748696A5089611548 @default.
• W3010748696 hasBestOaLocation W30107486961 @default.
• W3010748696 hasConcept C105795698 @default.
• W3010748696 hasConcept C107029721 @default.
• W3010748696 hasConcept C142724271 @default.
• W3010748696 hasConcept C144024400 @default.
• W3010748696 hasConcept C149923435 @default.
• W3010748696 hasConcept C151406439 @default.
• W3010748696 hasConcept C166957645 @default.
• W3010748696 hasConcept C191935318 @default.
• W3010748696 hasConcept C204264503 @default.
• W3010748696 hasConcept C205649164 @default.
• W3010748696 hasConcept C2779134260 @default.
• W3010748696 hasConcept C2908647359 @default.
• W3010748696 hasConcept C3008058167 @default.
• W3010748696 hasConcept C33923547 @default.
• W3010748696 hasConcept C41008148 @default.
• W3010748696 hasConcept C524204448 @default.
• W3010748696 hasConcept C71924100 @default.
• W3010748696 hasConcept C761482 @default.
• W3010748696 hasConcept C76155785 @default.
• W3010748696 hasConcept C99454951 @default.
• W3010748696 hasConceptScore W3010748696C105795698 @default.
• W3010748696 hasConceptScore W3010748696C107029721 @default.
• W3010748696 hasConceptScore W3010748696C142724271 @default.
• W3010748696 hasConceptScore W3010748696C144024400 @default.
• W3010748696 hasConceptScore W3010748696C149923435 @default.
• W3010748696 hasConceptScore W3010748696C151406439 @default.
• W3010748696 hasConceptScore W3010748696C166957645 @default.
• W3010748696 hasConceptScore W3010748696C191935318 @default.
• W3010748696 hasConceptScore W3010748696C204264503 @default.
• W3010748696 hasConceptScore W3010748696C205649164 @default.
• W3010748696 hasConceptScore W3010748696C2779134260 @default.
• W3010748696 hasConceptScore W3010748696C2908647359 @default.
• W3010748696 hasConceptScore W3010748696C3008058167 @default.
• W3010748696 hasConceptScore W3010748696C33923547 @default.
• W3010748696 hasConceptScore W3010748696C41008148 @default.
• W3010748696 hasConceptScore W3010748696C524204448 @default.
• W3010748696 hasConceptScore W3010748696C71924100 @default.
• W3010748696 hasConceptScore W3010748696C761482 @default.
• W3010748696 hasConceptScore W3010748696C76155785 @default.
• W3010748696 hasConceptScore W3010748696C99454951 @default.
• W3010748696 hasIssue "1" @default.
• W3010748696 hasLocation W30107486961 @default.
• W3010748696 hasOpenAccess W3010748696 @default.
• W3010748696 hasPrimaryLocation W30107486961 @default.
• W3010748696 hasRelatedWork W1607092422 @default.
• W3010748696 hasRelatedWork W1632477623 @default.
• W3010748696 hasRelatedWork W2079255393 @default.
• W3010748696 hasRelatedWork W2204270911 @default.
• W3010748696 hasRelatedWork W2903035140 @default.

• next