Global approaches to infectious disease surveillance and modeling.

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Title: Global approaches to infectious disease surveillance and modeling.
Authors: Khurana MP; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Tsui JL; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK., Gutierrez B; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK.; Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito (USFQ), Quito, Ecuador., Chopra A; MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.; Project Iceberg, Massachusetts Institute of Technology, Cambridge, MA, USA., Scheidwasser N; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Zhu HBH; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.; National Food Institute, Technical University of Denmark (DTU), Lyngby, Denmark., Chang SY; Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA.; UCSF UC Berkeley Joint Program in Computational Precision Health, Berkeley, CA, USA.; Microsoft Research, New York, NY, USA., Duchêne DA; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Mills C; Department of Statistics, University of Oxford, Oxford, UK., Inward RPD; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK., Reddy B; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Statistics, University of Oxford, Oxford, UK.; UKRI AI Centre for Doctoral Training in AI for the Environment, University of Oxford, Oxford, UK., Brittain J; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Doctoral Training Centre, University of Oxford, Oxford, UK., Dasgupta A; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Doctoral Training Centre, University of Oxford, Oxford, UK., Sheldon J; Institute for Experiential AI, Northeastern University, Boston, MA, USA., Githinji G; Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya., Brownstein JS; Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA.; Department of Pediatrics and Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Monod M; CEREMADE, CNRS, Université Paris Dauphine, Université PSL, Paris, France., Ferretti L; Pandemic Sciences Institute, University of Oxford, Oxford, UK., Bershan S; Exago.ml, Berlin, Germany.; Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany., Tietze S; Exago.ml, Berlin, Germany., Ferres L; Institute of Data Science, Faculty of Engineering, Universidad del Desarrollo, Santiago, Chile.; Institute for Scientific Interchange Foundation, Turin, Italy., Argimón S; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany., Dallman TJ; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany., Koua E; World Health Organization Regional Office for Africa, Brazzaville, Congo., Ratmann O; Department of Mathematics, Imperial College London, London, UK.; Imperial-X, Imperial College London, London, UK., Cauchemez S; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, INSERM U1332, CNRS UMR 2000, Université Paris Cité, Paris, France., Meyers LA; Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA., Su L; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA., Vespignani A; Institute for Scientific Interchange Foundation, Turin, Italy.; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA., Pronyk P; Centre for Outbreak Preparedness, Duke-NUS Medical School, Singapore, Singapore.; SingHealth Duke-NUS Global Health Institute, Duke-NUS Medical School, Singapore, Singapore., O'Toole Á; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK., Rambaut A; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK., Loman NJ; Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK., Holmes EC; School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia., Flaxman S; Department of Computer Science, University of Oxford, Oxford, UK., Mulder N; Computational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa., Morgan OW; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany., Tegally H; Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa., Gomez-Rodriguez M; Max Planck Institute for Software Systems, Kaiserslautern, Germany., Shadbolt N; Department of Computer Science, University of Oxford, Oxford, UK.; The Open Data Institute, London, UK., Happi C; Institute of Genomics and Global Health, Redeemer's University, Ede, Nigeria., Chand M; UK Health Security Agency, London, UK., Tessema SK; Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia., Mbala-Kingebeni P; Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo., Suchard MA; Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA., Pybus OG; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK.; Department of Pathobiology and Population Sciences, Royal Veterinary College, London, UK., Scarpino SV; Institute for Experiential AI, Northeastern University, Boston, MA, USA. s.scarpino@northeastern.edu.; Department of Public Health and Health Sciences, Northeastern University, Boston, MA, USA. s.scarpino@northeastern.edu.; Network Science Institute, Northeastern University, Boston, MA, USA. s.scarpino@northeastern.edu.; Santa Fe Institute, Santa Fe, NM, USA. s.scarpino@northeastern.edu., Bhatt S; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. samir.bhatt@sund.ku.dk.; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. samir.bhatt@sund.ku.dk.; Pioneer Centre for Artificial Intelligence, University of Copenhagen, Copenhagen, Denmark. samir.bhatt@sund.ku.dk., Kraemer MUG; Pandemic Sciences Institute, University of Oxford, Oxford, UK. moritz.kraemer@biology.ox.ac.uk.; Department of Biology, University of Oxford, Oxford, UK. moritz.kraemer@biology.ox.ac.uk.
Source: Nature medicine [Nat Med] 2026 May; Vol. 32 (5), pp. 1646-1660. Date of Electronic Publication: 2026 May 20.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-170X
DOI:10.1038/s41591-026-04351-4