Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283204890> ?p ?o ?g. }
- W4283204890 abstract "The coronavirus disease 2019 (COVID-19) epidemic, considered as the worst global public health event in nearly a century, has severely affected more than 200 countries and regions around the world. To effectively prevent and control the epidemic, researchers have widely employed dynamic models to predict and simulate the epidemic's development, understand the spread rule, evaluate the effects of intervention measures, inform vaccination strategies, and assist in the formulation of prevention and control measures. In this review, we aimed to sort out the compartmental structures used in COVID-19 dynamic models and provide reference for the dynamic modeling for COVID-19 and other infectious diseases in the future.A scoping review on the compartmental structures used in modeling COVID-19 was conducted. In this scoping review, 241 research articles published before May 14, 2021 were analyzed to better understand the model types and compartmental structures used in modeling COVID-19. Three types of dynamics models were analyzed: compartment models expanded based on susceptible-exposed-infected-recovered (SEIR) model, meta-population models, and agent-based models. The expanded compartments based on SEIR model are mainly according to the COVID-19 transmission characteristics, public health interventions, and age structure. The meta-population models and the agent-based models, as a trade-off for more complex model structures, basic susceptible-exposed-infected-recovered or simply expanded compartmental structures were generally adopted.There has been a great deal of models to understand the spread of COVID-19, and to help prevention and control strategies. Researchers build compartments according to actual situation, research objectives and complexity of models used. As the COVID-19 epidemic remains uncertain and poses a major challenge to humans, researchers still need dynamic models as the main tool to predict dynamics, evaluate intervention effects, and provide scientific evidence for the development of prevention and control strategies. The compartmental structures reviewed in this study provide guidance for future modeling for COVID-19, and also offer recommendations for the dynamic modeling of other infectious diseases." @default.
- W4283204890 created "2022-06-22" @default.
- W4283204890 creator A5014365199 @default.
- W4283204890 creator A5018967503 @default.
- W4283204890 creator A5042404208 @default.
- W4283204890 creator A5046453934 @default.
- W4283204890 creator A5076678062 @default.
- W4283204890 creator A5083425525 @default.
- W4283204890 date "2022-06-21" @default.
- W4283204890 modified "2023-10-15" @default.
- W4283204890 title "Compartmental structures used in modeling COVID-19: a scoping review" @default.
- W4283204890 cites W2016674662 @default.
- W4283204890 cites W3010131837 @default.
- W4283204890 cites W3015300108 @default.
- W4283204890 cites W3015623674 @default.
- W4283204890 cites W3018520816 @default.
- W4283204890 cites W3018965305 @default.
- W4283204890 cites W3027817760 @default.
- W4283204890 cites W3028509400 @default.
- W4283204890 cites W3032725243 @default.
- W4283204890 cites W3041679434 @default.
- W4283204890 cites W3043699273 @default.
- W4283204890 cites W3044916830 @default.
- W4283204890 cites W3045292003 @default.
- W4283204890 cites W3047132168 @default.
- W4283204890 cites W3047936731 @default.
- W4283204890 cites W3047996516 @default.
- W4283204890 cites W3048106528 @default.
- W4283204890 cites W3080353906 @default.
- W4283204890 cites W3082904283 @default.
- W4283204890 cites W3088133050 @default.
- W4283204890 cites W3088301108 @default.
- W4283204890 cites W3090982827 @default.
- W4283204890 cites W3092141723 @default.
- W4283204890 cites W3093610264 @default.
- W4283204890 cites W3093895342 @default.
- W4283204890 cites W3099011804 @default.
- W4283204890 cites W3104766934 @default.
- W4283204890 cites W3108339223 @default.
- W4283204890 cites W3110179649 @default.
- W4283204890 cites W3110278131 @default.
- W4283204890 cites W3112826292 @default.
- W4283204890 cites W3113666824 @default.
- W4283204890 cites W3113707455 @default.
- W4283204890 cites W3121733495 @default.
- W4283204890 cites W3121975289 @default.
- W4283204890 cites W3126073499 @default.
- W4283204890 cites W3130948523 @default.
- W4283204890 cites W3131047807 @default.
- W4283204890 cites W3133907789 @default.
- W4283204890 cites W3135291343 @default.
- W4283204890 cites W3136231040 @default.
- W4283204890 cites W3137135735 @default.
- W4283204890 cites W3138647135 @default.
- W4283204890 cites W3145896666 @default.
- W4283204890 cites W3156535563 @default.
- W4283204890 cites W3158905979 @default.
- W4283204890 cites W3159083984 @default.
- W4283204890 doi "https://doi.org/10.1186/s40249-022-01001-y" @default.
- W4283204890 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35729655" @default.
- W4283204890 hasPublicationYear "2022" @default.
- W4283204890 type Work @default.
- W4283204890 citedByCount "12" @default.
- W4283204890 countsByYear W42832048902022 @default.
- W4283204890 countsByYear W42832048902023 @default.
- W4283204890 crossrefType "journal-article" @default.
- W4283204890 hasAuthorship W4283204890A5014365199 @default.
- W4283204890 hasAuthorship W4283204890A5018967503 @default.
- W4283204890 hasAuthorship W4283204890A5042404208 @default.
- W4283204890 hasAuthorship W4283204890A5046453934 @default.
- W4283204890 hasAuthorship W4283204890A5076678062 @default.
- W4283204890 hasAuthorship W4283204890A5083425525 @default.
- W4283204890 hasBestOaLocation W42832048901 @default.
- W4283204890 hasConcept C112930515 @default.
- W4283204890 hasConcept C127413603 @default.
- W4283204890 hasConcept C138816342 @default.
- W4283204890 hasConcept C142724271 @default.
- W4283204890 hasConcept C159110408 @default.
- W4283204890 hasConcept C1627819 @default.
- W4283204890 hasConcept C2779134260 @default.
- W4283204890 hasConcept C2908647359 @default.
- W4283204890 hasConcept C2994107952 @default.
- W4283204890 hasConcept C3008058167 @default.
- W4283204890 hasConcept C41008148 @default.
- W4283204890 hasConcept C42475967 @default.
- W4283204890 hasConcept C524204448 @default.
- W4283204890 hasConcept C539667460 @default.
- W4283204890 hasConcept C71924100 @default.
- W4283204890 hasConcept C89623803 @default.
- W4283204890 hasConcept C99454951 @default.
- W4283204890 hasConceptScore W4283204890C112930515 @default.
- W4283204890 hasConceptScore W4283204890C127413603 @default.
- W4283204890 hasConceptScore W4283204890C138816342 @default.
- W4283204890 hasConceptScore W4283204890C142724271 @default.
- W4283204890 hasConceptScore W4283204890C159110408 @default.
- W4283204890 hasConceptScore W4283204890C1627819 @default.
- W4283204890 hasConceptScore W4283204890C2779134260 @default.
- W4283204890 hasConceptScore W4283204890C2908647359 @default.
- W4283204890 hasConceptScore W4283204890C2994107952 @default.
- W4283204890 hasConceptScore W4283204890C3008058167 @default.