Matches in SemOpenAlex for { <https://semopenalex.org/work/W1980397898> ?p ?o ?g. }
- W1980397898 endingPage "e60601" @default.
- W1980397898 startingPage "e60601" @default.
- W1980397898 abstract "Objective The objectives of this study were to forecast epidemic peaks of typhoid and paratyphoid fever in China using the grey disaster model, to evaluate its feasibility of predicting the epidemic tendency of notifiable diseases. Methods According to epidemiological features, the GM(1,1) model and DGM model were used to build the grey disaster model based on the incidence data of typhoid and paratyphoid fever collected from the China Health Statistical Yearbook. Model fitting accuracy test was used to evaluate the performance of these two models. Then, the next catastrophe date was predicted by the better model. Results The simulation results showed that DGM model was better than GM(1,1) model in our data set. Using the DGM model, we predicted the next epidemic peak time will occur between 2023 to 2025. Conclusion The grey disaster model can predict the typhoid and paratyphoid fever epidemic time precisely, which may provide valuable information for disease prevention and control." @default.
- W1980397898 created "2016-06-24" @default.
- W1980397898 creator A5005020973 @default.
- W1980397898 creator A5006651636 @default.
- W1980397898 creator A5008780148 @default.
- W1980397898 creator A5059406170 @default.
- W1980397898 creator A5067555383 @default.
- W1980397898 date "2013-04-02" @default.
- W1980397898 modified "2023-09-27" @default.
- W1980397898 title "The Application of the Grey Disaster Model to Forecast Epidemic Peaks of Typhoid and Paratyphoid Fever in China" @default.
- W1980397898 cites W1553340810 @default.
- W1980397898 cites W1619438751 @default.
- W1980397898 cites W1964585049 @default.
- W1980397898 cites W1965660128 @default.
- W1980397898 cites W1981104210 @default.
- W1980397898 cites W1993089250 @default.
- W1980397898 cites W1997763763 @default.
- W1980397898 cites W2000611496 @default.
- W1980397898 cites W2000675053 @default.
- W1980397898 cites W2021755623 @default.
- W1980397898 cites W2027431366 @default.
- W1980397898 cites W2041213725 @default.
- W1980397898 cites W2049991606 @default.
- W1980397898 cites W2059890767 @default.
- W1980397898 cites W2071673097 @default.
- W1980397898 cites W2081153548 @default.
- W1980397898 cites W2083475779 @default.
- W1980397898 cites W2087120645 @default.
- W1980397898 cites W2087964538 @default.
- W1980397898 cites W2090561245 @default.
- W1980397898 cites W2102384014 @default.
- W1980397898 cites W2105855036 @default.
- W1980397898 cites W2114213575 @default.
- W1980397898 cites W2116814921 @default.
- W1980397898 cites W2121767581 @default.
- W1980397898 cites W2125230043 @default.
- W1980397898 cites W2143369485 @default.
- W1980397898 cites W2144492611 @default.
- W1980397898 cites W2147278081 @default.
- W1980397898 cites W2159838688 @default.
- W1980397898 cites W2171390907 @default.
- W1980397898 doi "https://doi.org/10.1371/journal.pone.0060601" @default.
- W1980397898 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3758484" @default.
- W1980397898 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23565260" @default.
- W1980397898 hasPublicationYear "2013" @default.
- W1980397898 type Work @default.
- W1980397898 sameAs 1980397898 @default.
- W1980397898 citedByCount "26" @default.
- W1980397898 countsByYear W19803978982014 @default.
- W1980397898 countsByYear W19803978982015 @default.
- W1980397898 countsByYear W19803978982016 @default.
- W1980397898 countsByYear W19803978982018 @default.
- W1980397898 countsByYear W19803978982019 @default.
- W1980397898 countsByYear W19803978982020 @default.
- W1980397898 countsByYear W19803978982021 @default.
- W1980397898 countsByYear W19803978982022 @default.
- W1980397898 crossrefType "journal-article" @default.
- W1980397898 hasAuthorship W1980397898A5005020973 @default.
- W1980397898 hasAuthorship W1980397898A5006651636 @default.
- W1980397898 hasAuthorship W1980397898A5008780148 @default.
- W1980397898 hasAuthorship W1980397898A5059406170 @default.
- W1980397898 hasAuthorship W1980397898A5067555383 @default.
- W1980397898 hasBestOaLocation W19803978981 @default.
- W1980397898 hasConcept C116675565 @default.
- W1980397898 hasConcept C159047783 @default.
- W1980397898 hasConcept C161191863 @default.
- W1980397898 hasConcept C166957645 @default.
- W1980397898 hasConcept C191935318 @default.
- W1980397898 hasConcept C205649164 @default.
- W1980397898 hasConcept C2777501827 @default.
- W1980397898 hasConcept C2780051777 @default.
- W1980397898 hasConcept C33923547 @default.
- W1980397898 hasConcept C41008148 @default.
- W1980397898 hasConcept C42475967 @default.
- W1980397898 hasConcept C520601542 @default.
- W1980397898 hasConcept C71924100 @default.
- W1980397898 hasConcept C99454951 @default.
- W1980397898 hasConceptScore W1980397898C116675565 @default.
- W1980397898 hasConceptScore W1980397898C159047783 @default.
- W1980397898 hasConceptScore W1980397898C161191863 @default.
- W1980397898 hasConceptScore W1980397898C166957645 @default.
- W1980397898 hasConceptScore W1980397898C191935318 @default.
- W1980397898 hasConceptScore W1980397898C205649164 @default.
- W1980397898 hasConceptScore W1980397898C2777501827 @default.
- W1980397898 hasConceptScore W1980397898C2780051777 @default.
- W1980397898 hasConceptScore W1980397898C33923547 @default.
- W1980397898 hasConceptScore W1980397898C41008148 @default.
- W1980397898 hasConceptScore W1980397898C42475967 @default.
- W1980397898 hasConceptScore W1980397898C520601542 @default.
- W1980397898 hasConceptScore W1980397898C71924100 @default.
- W1980397898 hasConceptScore W1980397898C99454951 @default.
- W1980397898 hasIssue "4" @default.
- W1980397898 hasLocation W19803978981 @default.
- W1980397898 hasLocation W19803978982 @default.
- W1980397898 hasLocation W19803978983 @default.
- W1980397898 hasLocation W19803978984 @default.
- W1980397898 hasLocation W19803978985 @default.
- W1980397898 hasOpenAccess W1980397898 @default.