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                <identifier>oai:data.mendeley.com/z9jsfg8gbs.3</identifier>
                <datestamp>2022-06-30T15:25:51Z</datestamp>
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    <dc:creator>Liu, Xiaoping</dc:creator>
    <dc:title>Programming Procedure in Excel for Calculating Model Variables in a New SEIR Epidemic Model Based on the latent-infectious period chronological order</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Our new SEIR epidemic model built from the l-i AIR model [1] has similar terms to the conventional SEIR epidemic model [2]. 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.

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, https://doi.org/10.1101/2021.12.14.21267812, 2021.2012.2014.21267812 (2021).

</dc:description>
    <dc:subject>Mathematical Modeling</dc:subject>
    <dc:subject>Epidemic Dynamics</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/z9jsfg8gbs.3</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/z9jsfg8gbs.3</dc:identifier>
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    <dc:date>2022-06-30T15:25:51Z</dc:date>
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