Risk Communication and Infodemic Misframing in Legionella spp. Environmental Surveillance: An Infodemiology Case Study

Travel-associated Legionnaires' disease (TALD) events can generate public concern when environmental surveillance findings are communicated without an adequate explanation of the results. This study examined how surveillance data on <i>Legionella</i> spp. were framed and amplified during a TALD-related investigation in Crete, Greece, from June to July 2025. A mixed infodemiology and environmental surveillance approach was applied, including the analysis of 95 online media items across nine languages, Google Trends search-interest data, and hotel water-system surveillance data from epidemiologically linked facilities. Sampling conducted in a limited number of hotels associated with TALD cases indicated that approximately 50% of the water samples exceeded the laboratory reporting limit of ≥50 CFU/L for <i>Legionella</i> spp., a numerically correct but context-specific finding. Numerical misframing occurred in 83.7%, 41.7%, and 18.2% of Greek, German, and English language items, respectively, with significant differences across language markets (χ<sup>2</sup> (8) = 43.75, <i>p</i> < 0.0001; Cramér's V = 0.679). Public search-interest signals were transient and geographically limited. Environmental surveillance showed no increase in <i>Legionella pneumophila</i> risk, with similar proportions of samples ≥50 CFU/L in the pre-/peri-infodemic (January-July 2025) and post-infodemic (August-November 2025) periods (23.11% [95% CI: 18.21-28.87] vs. 24.45% [19.34-30.41]) and similar exceedance of ≥1000 CFU/L (13.45% [9.69-18.36] vs. 14.41% [10.45-19.55]). Overall, the loss of contextual interpretation of surveillance results and conflation of laboratory reporting limits with regulatory thresholds were associated with inconsistent public risk perception, without evidence of increased environmental hazard.

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Journal
Microorganisms
Published
2026-02-26
DOI
https://doi.org/10.3390/microorganisms14030536
Primary Topic
Legionella and Acanthamoeba research
Type
article
Field-Weighted Citation Impact
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article

Risk Communication and Infodemic Misframing in Legionella spp. Environmental Surveillance: An Infodemiology Case Study

Areti lagiou, Dimosthenis Chochlakis, Anna Psaroulaki, Antonios Papadakis et al.
Microorganisms
Legionella and Acanthamoeba research
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Risk Communication and Infodemic Misframing in Legionella spp. Environmental Surveillance: An Infodemiology Case Study

Areti lagiou, Dimosthenis Chochlakis, Anna Psaroulaki, Antonios Papadakis, G. Pitsoulis, Apostolos Kamekis, Nikolaos Raptakis, Eleftherios Koufakis
article en

Abstract

Travel-associated Legionnaires' disease (TALD) events can generate public concern when environmental surveillance findings are communicated without an adequate explanation of the results. This study examined how surveillance data on <i>Legionella</i> spp. were framed and amplified during a TALD-related investigation in Crete, Greece, from June to July 2025. A mixed infodemiology and environmental surveillance approach was applied, including the analysis of 95 online media items across nine languages, Google Trends search-interest data, and hotel water-system surveillance data from epidemiologically linked facilities. Sampling conducted in a limited number of hotels associated with TALD cases indicated that approximately 50% of the water samples exceeded the laboratory reporting limit of ≥50 CFU/L for <i>Legionella</i> spp., a numerically correct but context-specific finding. Numerical misframing occurred in 83.7%, 41.7%, and 18.2% of Greek, German, and English language items, respectively, with significant differences across language markets (χ<sup>2</sup> (8) = 43.75, <i>p</i> < 0.0001; Cramér's V = 0.679). Public search-interest signals were transient and geographically limited. Environmental surveillance showed no increase in <i>Legionella pneumophila</i> risk, with similar proportions of samples ≥50 CFU/L in the pre-/peri-infodemic (January-July 2025) and post-infodemic (August-November 2025) periods (23.11% [95% CI: 18.21-28.87] vs. 24.45% [19.34-30.41]) and similar exceedance of ≥1000 CFU/L (13.45% [9.69-18.36] vs. 14.41% [10.45-19.55]). Overall, the loss of contextual interpretation of surveillance results and conflation of laboratory reporting limits with regulatory thresholds were associated with inconsistent public risk perception, without evidence of increased environmental hazard.

MicroorganismsVol. 14(3)
University of Crete (GR), University of West Attica (GR), Regional Energy Agency of Crete (GR)
Good health and well-being
Openalex Percentile: Top 38%
Legionella and Acanthamoeba research
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