MDPI

COVID Template

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

About the COVID format

COVID is a peer-reviewed journal published by MDPI, covering COVID-19 Clinical Research Studies, COVID-19 and Mental Health, SARS-CoV-2 and COVID-19 Research. Over its lifetime it has published 772 papers, which have received 2,250 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. COVID 2023, 12, 45–58.

Formats any DOI in COVID style. No sign-up.

Publishes research inCOVID-19 Clinical Research Studies COVID-19 and Mental Health SARS-CoV-2 and COVID-19 Research COVID-19 epidemiological studies Long-Term Effects of COVID-19
ISSN2673-8112
Citation impact (2-yr)0.96
h-index18
i10-index61
Open accessYes — indexed in DOAJ
Top institutions publishing hereUniversity of Toronto
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in COVID per year

66
2021
129
2022
125
2023
142
2024
210
2025

Citation impact of COVID by publication year

556
2021
822
2022
440
2023
303
2024
125
2025

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

Most-cited papers in COVID

A Comprehensive Review of Drug Repurposing Strategies against Known Drug Targets of COVID-19

Ankita Khataniar, Upasana Pathak, Sanchaita Rajkhowa et al. · 26 Jan 2022

Drug repurposing is a more inexpensive and shorter approach than the traditional drug discovery and development process. The concept of identifying a potent molecule from a library of pre-existing molecules or an already approved drug has become a go-to tactic to accelerate the identification of drugs that can prevent COVID-19. This seemingly uncontrollable disease is…

An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection

Nirmalya Thakur, Chia Y. Han · 25 Jul 2022

This paper presents the findings of an exploratory study on the continuously generating Big Data on Twitter related to the sharing of information, news, views, opinions, ideas, knowledge, feedback, and experiences about the COVID-19 pandemic, with a specific focus on the Omicron variant, which is the globally dominant variant of SARS-CoV-2 at this time. A…

What Is the Estimated COVID-19 Reproduction Number and the Proportion of the Population That Needs to Be Immunized to Achieve Herd Immunity in Malaysia? A Mathematical Epidemiology Synthesis

Kurubaran Ganasegeran, Alan Swee Hock Ch’ng, Irene Looi · 1 Jun 2021

We aimed to determine Malaysia’s COVID-19 reproduction number and herd immunity threshold through a mathematical epidemiology synthesis. Using time-series incidence data, the time-dependent reproduction number (Rt) was yielded over time during the COVID-19 containment measures in Malaysia. The value of Rt at the beginning of the epidemic and prior to any interventions in place was…

The Role of Serology Testing to Strengthen Vaccination Initiatives and Policies for COVID-19 in Europe

Paolo Bonanni, Rafael Cantón, Dipender Gill et al. · 26 Jun 2021

This review explores and positions the value of serology testing to support current immunization policies and the broader policy response to the coronavirus disease 2019 (COVID-19) crisis in Europe. We applied an exploratory approach to analysing existing evidence, international recommendations, and national policies using desk research from secondary sources, document analysis, and expert information. Regional…

Paracetamol Is Associated with a Lower Risk of COVID-19 Infection and Decreased ACE2 Protein Expression: A Retrospective Analysis

Nuno Santos Leal, Yizhou Yu, Yuwen Chen et al. · 16 Aug 2021

Ibuprofen is a common over-the-counter drug taken for pain relief. However, recent studies have raised concerns about its potential toxic effect with coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has been proposed that ibuprofen may increase levels of angiotensin-converting enzyme 2 (ACE2), the human receptor for…

COVID template — frequently asked questions

How do I write a paper in the COVID format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the COVID template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does COVID use?
COVID uses Numbered (MDPI) 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. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. COVID 2023, 12, 45–58.
Do I need to know LaTeX to submit to COVID?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready COVID 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 COVID template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the COVID format with correct headings, figures, tables, and numbered citations.
What is COVID?
COVID - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready COVID PDF?
Yes — DocuGuru produces a PDF built with the official COVID template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the COVID template cost?
You can start writing in the COVID template for free. Exporting the final submission-ready COVID PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the COVID template