An agent-based model with antibody dynamics information in COVID-19 epidemic simulation
Accurate prediction of the temporal and spatial characteristics of COVID-19 infection is of paramount importance for effective epidemic prevention and control. In order to accomplish this objective, we incorporated individual antibody dynamics into an agent-based model and devised a methodology that...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-12-01
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| Series: | Infectious Disease Modelling |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S246804272300091X |
| _version_ | 1797448089304301568 |
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| author | Zhaobin Xu Jian Song Weidong Liu Dongqing Wei |
| author_facet | Zhaobin Xu Jian Song Weidong Liu Dongqing Wei |
| author_sort | Zhaobin Xu |
| collection | DOAJ |
| description | Accurate prediction of the temporal and spatial characteristics of COVID-19 infection is of paramount importance for effective epidemic prevention and control. In order to accomplish this objective, we incorporated individual antibody dynamics into an agent-based model and devised a methodology that encompasses the dynamic behaviors of each individual, thereby explicitly capturing the count and spatial distribution of infected individuals with varying symptoms at distinct time points. Our model also permits the evaluation of diverse prevention and control measures. Based on our findings, the widespread employment of nucleic acid testing and the implementation of quarantine measures for positive cases and their close contacts in China have yielded remarkable outcomes in curtailing a less transmissible yet more virulent strain; however, they may prove inadequate against highly transmissible and less virulent variants. Additionally, our model excels in its ability to trace back to the initial infected case (patient zero) through early epidemic patterns. Ultimately, our model extends the frontiers of traditional epidemiological simulation methodologies and offers an alternative approach to epidemic modeling. |
| first_indexed | 2024-03-09T14:05:20Z |
| format | Article |
| id | doaj.art-eb518b208b31492290043cb4897c4fc3 |
| institution | Directory Open Access Journal |
| issn | 2468-0427 |
| language | English |
| last_indexed | 2024-03-09T14:05:20Z |
| publishDate | 2023-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Infectious Disease Modelling |
| spelling | doaj.art-eb518b208b31492290043cb4897c4fc32023-11-30T05:08:13ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272023-12-018411511168An agent-based model with antibody dynamics information in COVID-19 epidemic simulationZhaobin Xu0Jian Song1Weidong Liu2Dongqing Wei3Department of Life Science, Dezhou University, Shandong, 253023, China; Corresponding author.Department of Life Science, Dezhou University, Shandong, 253023, ChinaDepartment of Physical Education, Dezhou University, Shandong, 253023, ChinaSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200030, ChinaAccurate prediction of the temporal and spatial characteristics of COVID-19 infection is of paramount importance for effective epidemic prevention and control. In order to accomplish this objective, we incorporated individual antibody dynamics into an agent-based model and devised a methodology that encompasses the dynamic behaviors of each individual, thereby explicitly capturing the count and spatial distribution of infected individuals with varying symptoms at distinct time points. Our model also permits the evaluation of diverse prevention and control measures. Based on our findings, the widespread employment of nucleic acid testing and the implementation of quarantine measures for positive cases and their close contacts in China have yielded remarkable outcomes in curtailing a less transmissible yet more virulent strain; however, they may prove inadequate against highly transmissible and less virulent variants. Additionally, our model excels in its ability to trace back to the initial infected case (patient zero) through early epidemic patterns. Ultimately, our model extends the frontiers of traditional epidemiological simulation methodologies and offers an alternative approach to epidemic modeling.http://www.sciencedirect.com/science/article/pii/S246804272300091XCOVID-19Agent-based methodAntibody dynamicsEpidemic predictionTargeted epidemic-control measuresEpidemiological investigation |
| spellingShingle | Zhaobin Xu Jian Song Weidong Liu Dongqing Wei An agent-based model with antibody dynamics information in COVID-19 epidemic simulation Infectious Disease Modelling COVID-19 Agent-based method Antibody dynamics Epidemic prediction Targeted epidemic-control measures Epidemiological investigation |
| title | An agent-based model with antibody dynamics information in COVID-19 epidemic simulation |
| title_full | An agent-based model with antibody dynamics information in COVID-19 epidemic simulation |
| title_fullStr | An agent-based model with antibody dynamics information in COVID-19 epidemic simulation |
| title_full_unstemmed | An agent-based model with antibody dynamics information in COVID-19 epidemic simulation |
| title_short | An agent-based model with antibody dynamics information in COVID-19 epidemic simulation |
| title_sort | agent based model with antibody dynamics information in covid 19 epidemic simulation |
| topic | COVID-19 Agent-based method Antibody dynamics Epidemic prediction Targeted epidemic-control measures Epidemiological investigation |
| url | http://www.sciencedirect.com/science/article/pii/S246804272300091X |
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