Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00366-023-01816-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8344 |
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oai:localhost:PNK-83442023-04-27T01:50:03Z Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States Orhun O., Davarci Emily Y., Yang Alexander, Viguerie SEIRD CC BY The rapid spread of the numerous outbreaks of the coronavirus disease 2019 (COVID-19) pandemic has fueled interest in mathematical models designed to understand and predict infectious disease spread, with the ultimate goal of contributing to the decision making of public health authorities. Here, we propose a computational pipeline that dynamically parameterizes a modified SEIRD (susceptible-exposed-infected-recovered-deceased) model using standard daily series of COVID-19 cases and deaths, along with isolated estimates of population-level seroprevalence. 2023-04-27T01:50:03Z 2023-04-27T01:50:03Z 2023 Book https://link.springer.com/article/10.1007/s00366-023-01816-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8344 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
SEIRD |
| spellingShingle |
SEIRD Orhun O., Davarci Emily Y., Yang Alexander, Viguerie Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| description |
CC BY |
| format |
Book |
| author |
Orhun O., Davarci Emily Y., Yang Alexander, Viguerie |
| author_facet |
Orhun O., Davarci Emily Y., Yang Alexander, Viguerie |
| author_sort |
Orhun O., Davarci |
| title |
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| title_short |
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| title_full |
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| title_fullStr |
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| title_full_unstemmed |
Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States |
| title_sort |
dynamic parameterization of a modified seird model to analyze and forecast the dynamics of covid-19 outbreaks in the united states |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00366-023-01816-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8344 |
| _version_ |
1764358630173310976 |
| score |
8.891145 |