The challenges and opportunities in creating a One Health warning system for pandemics

The COVID-19 pandemic's lessons on the interconnectedness of human health with the natural world, social systems, and economies have been ignored with the dismantling of essential infectious-disease-monitoring programs across the world.Furthermore, over half of all infectious diseases could be made worse by climate change, complicating pandemic containment.Despite these complexities, the factors leading to pandemics are largely predictable and can be realized through a well-designed global early warning system.We have developed and deployed the first climate-informed global infectious disease platform, GeoSeeq.It integrates data from genomics, climate and environment, social dynamics, and healthcare infrastructure.It leverages community-driven modeling, modern logistics of data, and democratization of AI tools.Using the example of dengue fever in Brazil, we demonstrate how technology platforms can build global-scale precision disease detection and response systems to reduce exposure to systemic shocks, accelerate science-informed public health policies, and deliver reliable healthcare and economic opportunities.

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Publication Details

Journal
Cell Reports Sustainability
Published
2025-08-25
DOI
https://doi.org/10.1016/j.crsus.2025.100485
Citations
1
Primary Topic
Zoonotic diseases and public health
Type
article
Field-Weighted Citation Impact
1.88
Controls
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article

The challenges and opportunities in creating a One Health warning system for pandemics

David Danko, John C Papciak, Fabio Corsi, Xavier Rodó et al.
1 citations
Cell Reports Sustainability
Zoonotic diseases and public health
1.88
article

The challenges and opportunities in creating a One Health warning system for pandemics

David Danko, John C Papciak, Fabio Corsi, Xavier Rodó, Charles J Vörösmarty, Dorottya Nagy-Szakál, Niamh B. O’Hara, Rafael Maciel‐de‐Freitas, Anthony D. Cak, Christopher E. Mason, Anthony Albanese, James Golden
article en
1 citations

Abstract

The COVID-19 pandemic's lessons on the interconnectedness of human health with the natural world, social systems, and economies have been ignored with the dismantling of essential infectious-disease-monitoring programs across the world.Furthermore, over half of all infectious diseases could be made worse by climate change, complicating pandemic containment.Despite these complexities, the factors leading to pandemics are largely predictable and can be realized through a well-designed global early warning system.We have developed and deployed the first climate-informed global infectious disease platform, GeoSeeq.It integrates data from genomics, climate and environment, social dynamics, and healthcare infrastructure.It leverages community-driven modeling, modern logistics of data, and democratization of AI tools.Using the example of dengue fever in Brazil, we demonstrate how technology platforms can build global-scale precision disease detection and response systems to reduce exposure to systemic shocks, accelerate science-informed public health policies, and deliver reliable healthcare and economic opportunities.

Cell Reports SustainabilityVol. 2(9)
The Graduate Center, CUNY (US), Prince Sattam Bin Abdulaziz University (SA), City University of New York (US), SUNY Downstate Health Sciences University (US), Cornell University (US), Hunter College (US), MIND Research Institute (US), CUNY Advanced Science Research Center (US), Barcelona Institute for Global Health (ES), Jacobs Institute (US), Chilworth Technology (United Kingdom) (GB), Weill Cornell Medicine (US), Fundação Oswaldo Cruz (BR), Bernhard Nocht Institute for Tropical Medicine (DE)
Good health and well-being
Openalex Percentile: Top 13%
Zoonotic diseases and public health
1.88
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