An evaluation of mathematical models for the outbreak of COVID-19
Mathematical modelling performs a vital part in estimating and controlling the recent outbreak of coronavirus disease 2019 (COVID-19). In this epidemic, most countries impose severe intervention measures to contain the spread of COVID-19. The policymakers are forced to make difficult decisions to le...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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Oxford University Press
2020
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| Subjects: |
| _version_ | 1797071096424431616 |
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| author | Wang, N Fu, Y Zhang, H Shi, H |
| author_facet | Wang, N Fu, Y Zhang, H Shi, H |
| author_sort | Wang, N |
| collection | OXFORD |
| description | Mathematical modelling performs a vital part in estimating and controlling the recent outbreak of coronavirus disease 2019 (COVID-19). In this epidemic, most countries impose severe intervention measures to contain the spread of COVID-19. The policymakers are forced to make difficult decisions to leverage between health and economic development. How and when to make clinical and public health decisions in an epidemic situation is a challenging question. The most appropriate solution is based on scientific evidence, which is mainly dependent on data and models. So one of the most critical problems during this crisis is whether we can develop reliable epidemiological models to forecast the evolution of the virus and estimate the effectiveness of various intervention measures and their impacts on the economy. There are numerous types of mathematical model for epidemiological diseases. In this paper, we present some critical reviews on mathematical models for the outbreak of COVID-19. Some elementary models are presented as an initial formulation for an epidemic. We give some basic concepts, notations, and foundation for epidemiological modelling. More related works are also introduced and evaluated by considering epidemiological features such as disease tendency, latent effects, susceptibility, basic reproduction numbers, asymptomatic infections, herd immunity, and impact of the interventions. |
| first_indexed | 2024-03-06T22:48:19Z |
| format | Journal article |
| id | oxford-uuid:5df4a3ca-8513-4d05-8ebc-c7729795e25e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:48:19Z |
| publishDate | 2020 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:5df4a3ca-8513-4d05-8ebc-c7729795e25e2022-03-26T17:37:29ZAn evaluation of mathematical models for the outbreak of COVID-19Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5df4a3ca-8513-4d05-8ebc-c7729795e25eeconomicsherd immunitydisease outbreakscovid-19public health medicineInfectionsmathematical modelmathematicsvirusesreproductive physiological processepidemicssars-cov-2EnglishSymplectic ElementsOxford University Press2020Wang, NFu, YZhang, HShi, HMathematical modelling performs a vital part in estimating and controlling the recent outbreak of coronavirus disease 2019 (COVID-19). In this epidemic, most countries impose severe intervention measures to contain the spread of COVID-19. The policymakers are forced to make difficult decisions to leverage between health and economic development. How and when to make clinical and public health decisions in an epidemic situation is a challenging question. The most appropriate solution is based on scientific evidence, which is mainly dependent on data and models. So one of the most critical problems during this crisis is whether we can develop reliable epidemiological models to forecast the evolution of the virus and estimate the effectiveness of various intervention measures and their impacts on the economy. There are numerous types of mathematical model for epidemiological diseases. In this paper, we present some critical reviews on mathematical models for the outbreak of COVID-19. Some elementary models are presented as an initial formulation for an epidemic. We give some basic concepts, notations, and foundation for epidemiological modelling. More related works are also introduced and evaluated by considering epidemiological features such as disease tendency, latent effects, susceptibility, basic reproduction numbers, asymptomatic infections, herd immunity, and impact of the interventions. |
| spellingShingle | economics herd immunity disease outbreaks covid-19 public health medicine Infections mathematical model mathematics viruses reproductive physiological process epidemics sars-cov-2 Wang, N Fu, Y Zhang, H Shi, H An evaluation of mathematical models for the outbreak of COVID-19 |
| title | An evaluation of mathematical models for the outbreak of COVID-19 |
| title_full | An evaluation of mathematical models for the outbreak of COVID-19 |
| title_fullStr | An evaluation of mathematical models for the outbreak of COVID-19 |
| title_full_unstemmed | An evaluation of mathematical models for the outbreak of COVID-19 |
| title_short | An evaluation of mathematical models for the outbreak of COVID-19 |
| title_sort | evaluation of mathematical models for the outbreak of covid 19 |
| topic | economics herd immunity disease outbreaks covid-19 public health medicine Infections mathematical model mathematics viruses reproductive physiological process epidemics sars-cov-2 |
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