%0 Journal Article
%T Medical Entomology as a One Health Information Science: Connecting Vector Ecology, Pathogen Detection, Host Vulnerability, and Environmental Surveillance
%A Hiroshi Nakamura
%A Yuta Kato
%A Claire Dupont
%A Julien Martin
%J Entomology and Applied Science Letters
%@ 2349-2864
%D 2025
%V 12
%N 2
%R 10.51847/5muBcIyWyP
%P 8-20
%X Vector-borne disease surveillance increasingly draws on entomological sampling, pathogen assays, environmental observations, human and animal health records, mobility indicators, and socioeconomic data. Yet the coexistence of these data streams does not ensure that they describe compatible biological processes, operate at comparable spatial or temporal scales, or support defensible public-health decisions. This article develops an original One Health medical-entomology information architecture that treats surveillance as a structured process for converting heterogeneous observations into qualified evidence about vector populations, pathogen circulation, host exposure, and emerging transmission risk. The analysis integrates five connected domains: vector ecology and population intelligence; pathogen detection and transmission indicators; host vulnerability and exposure context; environmental observation and early warning; and governance and interoperability. The strongest synthesis is that surveillance value depends less on the volume of accumulated data than on the explicit preservation of distinctions among observation, biological interpretation, epidemiological inference, and decision use. Vector occurrence does not establish population persistence, vector detection does not demonstrate transmission, pathogen-positive arthropods do not by themselves prove local transmission, and predictive alerts do not become validated decision rules without external evaluation and operational calibration. The proposed architecture therefore organizes evidence through linked but non-equivalent layers, with contextual modifiers, uncertainty statements, provenance information, and validation gates maintained throughout. Its principal limitation is that the supporting literature spans different vectors, pathogens, surveillance objectives, and implementation settings, preventing universal specification of thresholds or causal relations. The central implication is that future One Health systems should be designed around semantic alignment, biological interpretability, cross-sector governance, and prospective evaluation rather than simple technical aggregation.
%U https://easletters.com/article/medical-entomology-as-a-one-health-information-science-connecting-vector-ecology-pathogen-detectio-ggaqdrawzf4635g