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Paleopathology Meets Public Health: Deep-Time Syndemics and the Ecology of Emerging Infections.

Bahmad Hisham F, HF Ghssein, Ghassan G et al.

42198669 PubMed ID
10 Authors
2026-05-18 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

BH
Bahmad Hisham F
HG
HF Ghssein
GG
Ghassan G
BM
Bahmad Marwan
ME
M Elajami
TK
Tarec K TK
FI
Forghani Irman
IT
I Tuda
CC
Claudio C
RR
Ruiz-Cordero Roberto
Chapter II

Abstract

Summary of the research findings

Why do pandemics keep emerging despite decades of surveillance and response? Paleopathology, the study of disease traces in ancient remains, has been revolutionized by ancient DNA (aDNA) analysis and next-generation sequencing (NGS). Reconstructing pathogen genomes from archaeological material enables the identification of extinct lineages, the refinement of disease chronologies, and the characterization of long-term host-pathogen co-evolution. This provides context for public health challenges, including the emergence of pandemics and antimicrobial resistance (AMR). Infectious diseases are increasingly understood as complex phenomena arising from biological, ecological, and sociopolitical forces. Integrating paleopathology, aDNA, and paleomicrobiology supports a deep-time syndemic framework, revealing how recurring biosocial drivers have structured infectious disease risk throughout history. Ancient resistome studies demonstrate that AMR predates modern antibiotic use, reframing resistance as an intrinsic ecological feature rather than solely a modern phenomenon. Coronavirus disease 2019 (COVID-19) reaffirmed how infection intersects with chronic disease, health system fragility, and social inequities. This review highlights how integrating evolutionary perspectives into One Health shifts surveillance from a reactive approach to upstream risk mitigation and spillover prevention.

Chapter III

AI-Generated Summary

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Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

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Historical Context