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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42162297 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Global approaches to infectious disease surveillance and modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khurana+MP%22">Khurana MP</searchLink>; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Tsui+JL%22">Tsui JL</searchLink>; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Gutierrez+B%22">Gutierrez B</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chopra+A%22">Chopra A</searchLink>; MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.; Project Iceberg, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Scheidwasser+N%22">Scheidwasser N</searchLink>; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Zhu+HBH%22">Zhu HBH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chang+SY%22">Chang SY</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Duchêne+DA%22">Duchêne DA</searchLink>; Section for Health Data Science and AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Mills+C%22">Mills C</searchLink>; Department of Statistics, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Inward+RPD%22">Inward RPD</searchLink>; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Department of Biology, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Reddy+B%22">Reddy B</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Brittain+J%22">Brittain J</searchLink>; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Doctoral Training Centre, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Dasgupta+A%22">Dasgupta A</searchLink>; Pandemic Sciences Institute, University of Oxford, Oxford, UK.; Doctoral Training Centre, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Sheldon+J%22">Sheldon J</searchLink>; Institute for Experiential AI, Northeastern University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Githinji+G%22">Githinji G</searchLink>; Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya.<br /><searchLink fieldCode="AU" term="%22Brownstein+JS%22">Brownstein JS</searchLink>; Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA.; Department of Pediatrics and Biomedical Informatics, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Monod+M%22">Monod M</searchLink>; CEREMADE, CNRS, Université Paris Dauphine, Université PSL, Paris, France.<br /><searchLink fieldCode="AU" term="%22Ferretti+L%22">Ferretti L</searchLink>; Pandemic Sciences Institute, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Bershan+S%22">Bershan S</searchLink>; Exago.ml, Berlin, Germany.; Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Tietze+S%22">Tietze S</searchLink>; Exago.ml, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Ferres+L%22">Ferres L</searchLink>; Institute of Data Science, Faculty of Engineering, Universidad del Desarrollo, Santiago, Chile.; Institute for Scientific Interchange Foundation, Turin, Italy.<br /><searchLink fieldCode="AU" term="%22Argimón+S%22">Argimón S</searchLink>; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Dallman+TJ%22">Dallman TJ</searchLink>; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Koua+E%22">Koua E</searchLink>; World Health Organization Regional Office for Africa, Brazzaville, Congo.<br /><searchLink fieldCode="AU" term="%22Ratmann+O%22">Ratmann O</searchLink>; Department of Mathematics, Imperial College London, London, UK.; Imperial-X, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Cauchemez+S%22">Cauchemez S</searchLink>; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, INSERM U1332, CNRS UMR 2000, Université Paris Cité, Paris, France.<br /><searchLink fieldCode="AU" term="%22Meyers+LA%22">Meyers LA</searchLink>; Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.<br /><searchLink fieldCode="AU" term="%22Su+L%22">Su L</searchLink>; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Vespignani+A%22">Vespignani A</searchLink>; Institute for Scientific Interchange Foundation, Turin, Italy.; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Pronyk+P%22">Pronyk P</searchLink>; Centre for Outbreak Preparedness, Duke-NUS Medical School, Singapore, Singapore.; SingHealth Duke-NUS Global Health Institute, Duke-NUS Medical School, Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22O'Toole+Á%22">O'Toole Á</searchLink>; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.<br /><searchLink fieldCode="AU" term="%22Rambaut+A%22">Rambaut A</searchLink>; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.<br /><searchLink fieldCode="AU" term="%22Loman+NJ%22">Loman NJ</searchLink>; Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22Holmes+EC%22">Holmes EC</searchLink>; School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Flaxman+S%22">Flaxman S</searchLink>; Department of Computer Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Mulder+N%22">Mulder N</searchLink>; Computational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Morgan+OW%22">Morgan OW</searchLink>; WHO Hub for Pandemic and Epidemic Intelligence, Health Emergencies Programme, World Health Organization, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Tegally+H%22">Tegally H</searchLink>; Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.<br /><searchLink fieldCode="AU" term="%22Gomez-Rodriguez+M%22">Gomez-Rodriguez M</searchLink>; Max Planck Institute for Software Systems, Kaiserslautern, Germany.<br /><searchLink fieldCode="AU" term="%22Shadbolt+N%22">Shadbolt N</searchLink>; Department of Computer Science, University of Oxford, Oxford, UK.; The Open Data Institute, London, UK.<br /><searchLink fieldCode="AU" term="%22Happi+C%22">Happi C</searchLink>; Institute of Genomics and Global Health, Redeemer's University, Ede, Nigeria.<br /><searchLink fieldCode="AU" term="%22Chand+M%22">Chand M</searchLink>; UK Health Security Agency, London, UK.<br /><searchLink fieldCode="AU" term="%22Tessema+SK%22">Tessema SK</searchLink>; Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Mbala-Kingebeni+P%22">Mbala-Kingebeni P</searchLink>; Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo.<br /><searchLink fieldCode="AU" term="%22Suchard+MA%22">Suchard MA</searchLink>; Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Pybus+OG%22">Pybus OG</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Scarpino+SV%22">Scarpino SV</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Bhatt+S%22">Bhatt S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kraemer+MUG%22">Kraemer MUG</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229502015%22">Nature medicine</searchLink> [Nat Med] 2026 May; Vol. 32 (5), pp. 1646-1660. <i>Date of Electronic Publication: </i>2026 May 20. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Company%22">Nature Publishing Company </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9502015 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-170X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210788956%22">10788956 </searchLink><i>NLM ISO Abbreviation: </i>Nat Med <i>Subsets: </i>MEDLINE |
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