{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T02:43:29Z","timestamp":1792118609336,"version":"4.4.0"},"reference-count":165,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T00:00:00Z","timestamp":1779062400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pathogens"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/pathogens15050543","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T16:07:26Z","timestamp":1779206846000},"page":"543","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Paleopathology Meets Public Health: Deep-Time Syndemics and the Ecology of Emerging Infections"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3799-2595","authenticated-orcid":false,"given":"Hisham F.","family":"Bahmad","sequence":"first","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9313-1418","authenticated-orcid":false,"given":"Ghassan","family":"Ghssein","sequence":"additional","affiliation":[{"name":"High Council for Scientific Research & Publication (HCSRP), Islamic University of Lebanon, Khalde P.O. 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