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The anthropogenic fingerprint on emerging infectious diseases

Research Epidemiological Modeling

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TL;DR - This Nature study maps the human-driven risk of emerging infectious disease outbreaks, finding the greatest risk where people, livestock, and fragmented natural ecosystems coexist. It also highlights that unequal healthcare access limits outbreak detection and available data.

  • Emerging infectious disease risks are widespread globally.
  • High-risk landscapes combine human populations, livestock, and fragmented ecosystems.
  • Healthcare-access inequalities create major gaps in outbreak surveillance and reporting.
  • The findings underscore the need to account for detection bias when assessing geographic risk.

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The anthropogenic fingerprint on emerging infectious diseases

Nature Rory Gibb, Sadie J. Ryan, David M. Pigott, Maria del Pilar Fernandez, Renata L. Muylaert, Gregory F. Albery, Daniel J. Becker, Jason K. Blackburn, Hernan Caceres-Escobar, Michael Celone, Evan A. Eskew, Hannah K. Frank, Barbara A. Han, Erin N. Hulland, Kate E. Jones, Rebecca Katz, Adam Kucharski, Direk Limmathurotsakul, Catherine A. Lippi, Joshua Longbottom, Juan Fernando Martinez, Jane P. Messina, Elaine O. Nsoesie, David W. Redding, Daniel Romero-Alvarez, Boris V. Schmid, Stephanie N. Seifert, Anabel Sinchi, Christopher H. Trisos, Michelle Wille, Colin J. Carlson 2026-09-23 doi:10.1038/s41586-026-11058-6
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Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:16:11.105855 UTC

TL;DR - This Nature study maps the human-driven risk of emerging infectious disease outbreaks, finding the greatest risk where people, livestock, and fragmented natural ecosystems coexist. It also highlights that unequal healthcare access limits outbreak detection and available data.

  • Emerging infectious disease risks are widespread globally.
  • High-risk landscapes combine human populations, livestock, and fragmented ecosystems.
  • Healthcare-access inequalities create major gaps in outbreak surveillance and reporting.
  • The findings underscore the need to account for detection bias when assessing geographic risk.
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