Publish fast. Openly. Without restrictions.
An open access publishing platform supporting data deposition and sharing: the perfect publication venue for research in fast-paced fields, such as infectious diseases and epidemiology.Submit your research
F1000Research: Rapid dissemination of research when it’s needed most
F1000Research facilitates the rapid and transparent sharing of research by providing fast, open publication alongside access to any underlying data, software code and resources. All research articles are reviewed post publication, with expert peer review reports freely available.
F1000Research is particularly suited to fast-paced areas of research such as infectious diseases research and epidemiology, where immediate access to robust and rigorous science is essential for informing clinical and public health responses in real time.
F1000Research has set up a dedicated section within the Disease Outbreaks Gateway for the publication of COVID-19 related research. We welcome all types of publications related to coronavirus, including but not limited to: clinical trials, clinical case reports, epidemiological modelling, transmission dynamics, collaboratively written policies, protocols, and any other information that needs to be shared rapidly.
Articles published on F1000Research are subject to our Article Processing Charges. For COVID-19 research there is no charge to publish posters, slides and research-related outputs that do not require peer review.
Instructions for authors
Research on any aspect of epidemiology or infectious disease outbreaks is welcome in this Gateway, including but not limited to:
- Epidemiological modelling
- Disease transmission
- Pathogen genetics and genomics
- Antimicrobial resistance
- Immune defense mechanisms
- Guidelines on protective equipment
- Clinical case reports
For easy navigation and article discovery, the Gateway has dedicated areas curating the latest research on Coronavirus, Ebola Virus, Arbovirus, and Influenza.
5 reasons to publish on F1000Research
1. Rapid publication
Our rapid publication model helps your research make an impact sooner. See your article published in a matter of days, fully citable, and ready for peer review.
2. Wide range of research outputs
At F1000Research, we really hate research waste. That's why we support the publication of Study Protocols (as Registered Reports as required), Data Notes, Software Tool Articles and Case Studies, alongside Systematic Reviews and Research Articles. We welcome both confirmatory and negative results, as well as null studies.
3. Interactive figures
Via Plot.ly or an iFrame on F1000Research, you can include interactive data tables and figures to support longitudinal time series and quantitative data, providing a quick, easy and cost-effective way to provide updates. These interactive figures can bring your research to life, allowing your readers to visualize the results and dig into the data for themselves.
4. Article versioning
Our versioned publication system means that updates to studies can be made easily and quickly, without the need to publish a new paper. Versions are linked and are individually citable, and older versions will display a clear notification that a new version has been uploaded so that readers are always kept up to date with the latest developments in your work.
5. Alternative research outputs
We also publish research-related outputs that do not require peer review, such as policy documents, guidelines, and technical reports that can guide healthcare and disease management practitioners during global health emergencies. We also publish posters and slide decks.
F1000Research is a fully open access publishing platform, offering rapid publication of articles and other research outputs without editorial bias. All articles benefit from transparent post-publication peer review, and editorial guidance on making source data openly available.
F1000Research advocates for transparency and reproducibility in research, and our unique publishing model supports this at every stage.
Articles can be published in as few as 14 days, with post-publication peer review creating an open dialogue between authors and their research community. This generates feedback which can be used to improve the article and develop the author's skills.
Got questions about our Open Data Policy? We’ve got answers. Explore our brand new hub of resources for researchers, designed to help you understand the what, why, and how of data sharing for your next submission to F1000Research.
COVID-19 on F1000Research
A selection of our latest published research
C Oliver, M Campbell, O Dulan, N Hamilton, M Birchall
The coronavirus pandemic has put unprecedented pressure on intensive care systems across the globe, so it is crucial for medical practitioners to have a strong understanding of the processes for delayed tracheal extubation. This Clinical Practice Article describes two patients whose extubation and discharge were delayed due to florid COVID-19-related laryngo-tracheitis causing upper airway obstruction.
Ventilators are currently in critically short supply, meaning COVID-19 patients across the globe are dying due to a lack of access to this essential equipment. This article conducts a review of the literature to find existing open source, vetted designs for ventilator systems. Pearce finds that future work is urgently required for open source ventilators to be considered as scientific-grade equipment, with further work needed to reach medical-grade hardware.
This document proposes a range of strategies for ensuring higher levels of online student engagement in medical education. These strategies include use of smart tools and software, e-learning circles, and virtual mentoring, to keep students engaged in their courses.
R Zachariah, D Maher, A Aseffa, M Vahedi, P Launois, M Khogali, G Aslanyan, J Reeder
This Brief Report assesses whether those trained through various TDR training schemes were involved in the COVID-19 response, and in which areas of the emergency response they were applying their skills. Y Avong, one of the paper’s reviewers, says the article “profoundly presents what the World Health Organization has been stressing on the need to develop research capacity at the supply side of healthcare”.
A Mazumder, M Arora, V Bharadiya, P Berry, M Agarwal, P Behera, H Shewade, A Lohiya, M Gupta, A Rao, G Parameswaran
This Research Article examines the age, gender distribution, and mortality among COVID-19 patients in India, aiming to predict the contact rate and number of infections after 40 days of lockdown. The study examines 1,161 Indian COVID-19 patients, with a median age of 38 years, finding 20-39 year old males to be the most affected group. Using a susceptible-infected-removed (SIR) model for in silico predictions, the study estimates up to 220,675 infected people after 40 days of lockdown.
Slides & Posters
This slide deck explores how scientists could better engage with policymakers and the general public, and makes recommendations for ensuring scientists are perceived as a trusted source of COVID-19 research and information. This includes practical suggestions on how the research community can push back on misinformation and poor scientific journalism during the pandemic.