Data · dataset · 2022
Programming Procedure in Excel for Calculating Model Variables in a New SEIR Epidemic Model Based on the latent-infectious period chronological order
Listed in Teesside University Research Data Repository
Our new SEIR epidemic model built from the l-i AIR model [1] has similar terms to the conventional SEIR epidemic model [2].
Description
We have uploaded an instruction file for describing how to write a calculation program in Excel for calculating the model variables S, E, I, R and y. Calculation equations and results in example 1 and example 2 are the same.
The difference is that we used absolute cell reference for parameters l and c in example 2. Thus, if parameters l and c are changed, we can just change the value of l in cell D2 and the value of c in cell E2 in example 2. However, in example 1, we have to change codes related to parameters l and c in all cells from B29-Bn, C29-Cn, D29-Dn and E29-En.
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REFERENCES [1] Liu, X. A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan. Results Phys 20, 103712 (2021). [2] Liu, X. Analytical Solution of a New SEIR Model Based on Latent Period-Infectious Period Chronological Order. medRxiv, doi.org/10.1101/2021.12.14.21267812, 2021.2012.2014.21267812 (2021).
Links
Where it is published
- DOI doi.org/10.17632/z9jsfg8gbs.3 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/z9jsfg8gbs.3 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |