SEAHIR: A Specialized Compartmental Model for COVID-19
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Joseph Pateras & Ashwin Vaidya & Preetam Ghosh, 2022. "Network Thermodynamics-Based Scalable Compartmental Model for Multi-Strain Epidemics," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
- Wang Xiang & Li Chen & Qunjie Peng & Bing Wang & Xiaobing Liu, 2022. "How Effective Is a Traffic Control Policy in Blocking the Spread of COVID-19? A Case Study of Changsha, China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
- Suad Ajab & Balázs Ádam & Muna Al Hammadi & Najwa Al Bastaki & Mohamed Al Junaibi & Abdulmajeed Al Zubaidi & Mona Hegazi & Michal Grivna & Suhail Kady & Erik Koornneef & Raquel Neves & António Sousa U, 2021. "Occupational Health of Frontline Healthcare Workers in the United Arab Emirates during the COVID-19 Pandemic: A Snapshot of Summer 2020," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
- Victoria Chebotaeva & Paula A. Vasquez, 2023. "Erlang-Distributed SEIR Epidemic Models with Cross-Diffusion," Mathematics, MDPI, vol. 11(9), pages 1-18, May.
- Yaming Zhang & Jiaqi Zhang & Yaya Hamadou Koura & Changyuan Feng & Yanyuan Su & Wenjie Song & Linghao Kong, 2023. "Multiple Concurrent Causal Relationships and Multiple Governance Pathways for Non-Pharmaceutical Intervention Policies in Pandemics: A Fuzzy Set Qualitative Comparative Analysis Based on 102 Countries," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
- Øverby, Harald & Audestad, Jan A. & Szalkowski, Gabriel Andy, 2023. "Compartmental market models in the digital economy—extension of the Bass model to complex economic systems," Telecommunications Policy, Elsevier, vol. 47(1).
- Derek Huang & Huanyu Tao & Qilong Wu & Sheng-You Huang & Yi Xiao, 2021. "Modeling of the Long-Term Epidemic Dynamics of COVID-19 in the United States," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
More about this item
Keywords
compartmental models; COVID-19; Erlang distribution; predictive modelling; SARS-CoV-2; SEIR;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2667-:d:511999. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.