During infectious disease outbreaks, collaboration and transparency in data sharing, analysis, and interpretation are essential to guide public health response (1). To that end, we introduce Epidemiological.org - an online discussion forum for dissemination and peer-to-peer collaboration on epidemiological modelling ‘works-in-progress’; a sister webpage inspired by Virological.org that serves as a place where early molecular analyses are often posted.
Our first contribution to this forum concerns a multi-stakeholder collaboration responding to the 2026 Bundibugyo (BDBV) outbreak in central Africa, concentrated in the Democratic Republic of Congo (DRC). The DRC’s Institut National de Santé Publique (INSP) and Institut National de Recherche Biomédicale (INRB) are leading epidemic intelligence efforts to inform outbreak response together with academic, NGO and public sector partners. Here we present a live situational awareness dashboard that brings together epidemiological data with important contextual information such as estimates of human mobility from the outbreak epicenter (‘Current Snapshot’). We also include trends in positive cases over time from INSP-hosted laboratory testing data at the province level (‘Trends’). Finally, we include real-time updates on each pillar of the outbreak response effort (Infection prevention & control, Surveillance & monitoring, Protection from sexual exploitation & abuse, Case management, Community Engagement, Logistics, Security, Coordination, Laboratory) at the health zone, provincial and national level (‘Context’). The dashboard is hosted at the following link: DRC Ebola Bundibugyo 2026 — interactive dashboard , and any underlying public data is stored at this open-source GitHub repository, with guidelines for submission of new datasets contained in the README: GitHub - INRB-UMIE/BDBV2026-Data: Data and scripts for epidemiological analysis of the 2026 Bundibugyo Ebola outbreak · GitHub .
Figure 1 - Screenshots from the INRB-UMIE dashboard showing content from the current snapshot, trends and context tabs (as of June 12, 2026).
As the situation develops, we will incorporate further features into this data-dashboard platform with the focus on supporting public health decision-making. These may include data on hospital and emergency treatment center occupancy (subject to considerations on privacy and security), and a model submission system for the community to submit analyses for consideration by the INSP and INRB and subsequent incorporation into the dashboard.
Authors
Key contributors to data collection, molecular testing, data interpretation, analysis, and writing:
Institut National de Recherche Biomédicale (INRB) and Institut National de Santé Publique (INSP), Kinshasa, Democratic Republic of the Congo, and partners
Dav M. Ebengo (INRB)*
Pierre Akilimali (INSP)*
Tania Bishola Tshitenge (INRB)
Ciara Judge (Oxford)
Bernardo Gutierrez (Oxford)
Ellie Bourgikos (Oxford)
Olivier le Polain de Waroux (WHO)
Joel Kosianza (WHO)
Abdil Mahamud (WHO)
Benjamin Kanku (INSP)
Etien Koua (WHO)
Olga Ntumba (WHO)
Lorenzo Subissi (WHO)
Nicksy Gumede (WHO)
Marie Roseline Darnycka Belizaire (WHO)
Otim Patrick Cossy Ramadan (WHO)
Pablo N. Perez-Guzman (Imperial College)
Christian Morgenstern (Imperial College)
Victoria M. Cox (Imperial College)
Ruth McCabe (Imperial College)
Anne Cori (Imperial College)
Neil M. Ferguson (Imperial College)
Linus Bengtsson (Flowminder)
Benjamin Reddy (Oxford)
Simon Cauchemez (Pasteur)
Joseph L.-H. Tsui (Oxford)
Justus Nsio (AfricaCDC)
Yap Boum (AfricaCDC)
Jeanine Nkakulu (AfricaCDC)
Yenew Kebede (AfricaCDC)
Collins Tanui (AfricaCDC)
Didier Bompangue Nkoko (INOHA)
Francine Ntoumi (Fondation Congolaise pour la Recherche Médicale)
Jean-Jacques Muyembe Tamfum (INRB)
Cathal Mills (Oxford)
Samuel V. Scarpino (Northeastern U)
Moritz U.G. Kraemer (Oxford)
Christian Ngandu (INSP)
Dieudonne Mwamba Kazadi (INSP)
Placide Mbala-Kingebeni (INRB)*
Acknowledgements
We are grateful to all institutions and partners for their support to surveillance efforts in the DRC.
Statement on continuing work and analyses before publication
Please note that this data is based on work in progress and should be considered preliminary. Our analyses are ongoing, and a publication communicating our findings is in preparation. If you intend to use data for similar analyses and before our publication, please contact Prof. Placide Mbala-Kingebeni (INRB, DRC), Prof. Dav Ebengo (INRB, INOHA) or Pierre Akilimali (INSP).
References
1. M. P. Khurana, J. L.-H. Tsui, B. Gutierrez, A. Chopra, N. Scheidwasser, H. B. H. Zhu, S. Y. Chang, D. A. Duchêne, C. Mills, R. P. D. Inward, B. Reddy, J. Brittain, A. Dasgupta, J. Sheldon, G. Githinji, J. S. Brownstein, M. Monod, L. Ferretti, S. Bershan, S. Tietze, L. Ferres, S. Argimón, T. J. Dallman, E. Koua, O. Ratmann, S. Cauchemez, L. A. Meyers, L. Su, A. Vespignani, P. Pronyk, Á. O’Toole, A. Rambaut, N. J. Loman, E. C. Holmes, S. Flaxman, N. Mulder, O. W. Morgan, H. Tegally, M. Gomez-Rodriguez, N. Shadbolt, C. Happi, M. Chand, S. K. Tessema, P. Mbala-Kingebeni, M. A. Suchard, O. G. Pybus, S. V. Scarpino, S. Bhatt, M. U. G. Kraemer, Global approaches to infectious disease surveillance and modeling. Nat. Med. 32, 1646–1660 (2026).