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Analysing outbreak signals, 2013–2024: The amsterdam UMC centre for Tropical Medicine and Travel Medicine Epi Alert programme – an observational study

  • University of Amsterdam
  • Hospital Clinico Universitario Lozano Blesa
  • European Society of Clinical Microbiology and Infectious Disease
  • Université Paris Cité
  • University of Lisbon
  • Masanga Medical Research Unit (MMRU)
  • University of Tübingen
  • Centre de Recherches Médicales en Lambaréné (CERMEL)
  • University of Cape Town

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objectives Timely, clinically relevant outbreak intelligence is critical in an evolving infectious disease landscape. Over twelve years, the Amsterdam UMC Centre of Tropical Medicine and Travel Medicine produced weekly Epi Alerts (EAs), summarizing reports for travel and tropical medicine clinicians. We analysed these EAs to describe pathogen and disease distributions, explore temporal and geographic trends and reporting biases, and evaluate cited source accessibility. Methods We conducted a retrospective analysis of all EAs (April 2013-December 2024). Data from 454 bulletins yielded 10,619 entries classified by pathogen type, disease category, and location. The study was reported in accordance with the STROBE guidelines for observational studies. Results Viral infections predominated (7,234/10,619; 68%), followed by bacterial (2,562; 24%), parasitic (646; 6%), and fungal (83; 1%) diseases. Arboviruses comprised 46% of viral entries (3,312/7,234), mainly dengue (1,210; 17%), chikungunya (328; 5%), and West Nile fever (314; 4%). Viral haemorrhagic fevers accounted for 17% (1,209/7,234) of all viral entries, predominantly Ebola virus disease (321; 4%), yellow fever (292; 4%), and Crimean–Congo haemorrhagic fever (246; 3%). Measles featured prominently (1,114/10,619; 11%). Reporting favoured English-language sources with higher internet visibility and well-resourced surveillance systems. Rare/emerging pathogens (e.g. Powassan, Oropouche, Kyasanur Forest disease viruses) were consistently captured. At analysis, 67% of hyperlinks were defunct (7,150/10,619). Conclusions Although two-thirds of cited hyperlinks had become at the time of analysis, the EA archive offers durable, clinically relevant outbreak intelligence supporting diagnosis, travel advice, education. While selective, it captures emerging, rare and geographically unexpected infections relevant to clinical reasoning. Integration into ESCMID's Emerging Infections Subcommittee since mid-2025 ensures continuity and supports development into a searchable, continuously updated resource.
Original languageEnglish
Article number101756
JournalNew microbes and new infections
Volume71
DOIs
Publication statusPublished - 1 Jun 2026

Keywords

  • Arboviral disease
  • Epi Alert
  • Epidemic
  • Epidemiological reports
  • Infectious diseases
  • Outbreak
  • Viral haemorrhagic fever

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