Elsevier

Infectious Disease Modelling Template

Write in a clean editor, then format for Infectious Disease Modelling in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Infectious Disease Modelling format

Infectious Disease Modelling is a peer-reviewed journal published by Elsevier, covering COVID-19 epidemiological studies, Mathematical and Theoretical Epidemiology and Ecology Models, SARS-CoV-2 and COVID-19 Research.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Infectious Disease Modelling 12 (2023) 45–58.

Formats any DOI in Infectious Disease Modelling style. No sign-up.

Publishes research inCOVID-19 epidemiological studies Mathematical and Theoretical Epidemiology and Ecology Models SARS-CoV-2 and COVID-19 Research Influenza Virus Research Studies Data-Driven Disease Surveillance
ISSN2468-0427
Citation impact (2-yr)2.38
h-index46
i10-index257
Total citations15,350
Article processing charge$1,500
Open accessYes
Top institutions publishing hereYork University
Journal websitewww.sciencedirect.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Infectious Disease Modelling per year

1
2009
1
2011
14
2016
30
2017
27
2018
25
2019
90
2020
84
2021
77
2022
86
2023
104
2024
115
2025

Citation impact of Infectious Disease Modelling by publication year

0
2009
0
2011
202
2016
2.8K
2017
454
2018
472
2019
7.3K
2020
1.8K
2021
796
2022
681
2023
491
2024
138
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Infectious Disease Modelling

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

Steffen E. Eikenberry, Marina Mancuso, Enahoro Iboi et al. · 1 Jan 2020

Face mask use by the general public for limiting the spread of the COVID-19 pandemic is controversial, though increasingly recommended, and the potential of this intervention is not well understood. We develop a compartmental model for assessing the community-wide impact of mask use by the general, asymptomatic public, a portion of which may be asymptomatically…

An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)

Biao Tang, Nicola Luigi Bragazzi, Qian Li et al. · 1 Jan 2020

The basic reproduction number of an infectious agent is the average number of infections one case can generate over the course of the infectious period, in a naïve, uninfected population. It is well-known that the estimation of this number may vary due to several methodological issues, including different assumptions and choice of parameters, utilized models,…

Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020

Kimberlyn Roosa, Y. Lee, Ruiyan Luo et al. · 1 Jan 2020

The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to a wet market, human-to-human transmission has driven the rapid spread of the virus throughout China. The Chinese government has implemented containment strategies of city-wide lockdowns, screening…

Why is it difficult to accurately predict the COVID-19 epidemic?

Weston Roda, Marie Varughese, Donglin Han et al. · 1 Jan 2020

Since the COVID-19 outbreak in Wuhan City in December of 2019, numerous model predictions on the COVID-19 epidemics in Wuhan and other parts of China have been reported. These model predictions have shown a wide range of variations. In our study, we demonstrate that nonidentifiability in model calibrations using the confirmed-case data is the main…

Infectious Disease Modelling template — frequently asked questions

How do I write a paper in the Infectious Disease Modelling format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Infectious Disease Modelling template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Infectious Disease Modelling use?
Infectious Disease Modelling uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Infectious Disease Modelling 12 (2023) 45–58.
Do I need to know LaTeX to submit to Infectious Disease Modelling?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Infectious Disease Modelling document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Infectious Disease Modelling template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Infectious Disease Modelling format with correct headings, figures, tables, and numbered citations.
Who publishes Infectious Disease Modelling?
Infectious Disease Modelling is a multidisciplinary journal published by Elsevier. DocuGuru's Infectious Disease Modelling template matches Elsevier's official submission format.
Can I export a submission-ready Infectious Disease Modelling PDF?
Yes — DocuGuru produces a PDF built with the official Infectious Disease Modelling template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Infectious Disease Modelling template cost?
You can start writing in the Infectious Disease Modelling template for free. Exporting the final submission-ready Infectious Disease Modelling PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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