<p>Diagnostic advances outpace bedside interpretation in tropical medicine. Two forces drive this gap: mimicry—infectious syndromes resembling noninfectious disease, and expansibility—epidemiology transcending geography, age, season, and host. The result is misclassification, mistargeted therapies (e.g., steroid-treated helminth infection), and wasted resources amid climate- and mobility-driven shifts. This correspondence proposes lightweight, locally led evidence circulation through structured case reviews, minimal essential data, and living, site-specific algorithms that integrate mimicry-aware red flags and calibrated pretest probabilities. Such networks transform tacit experience into auditable knowledge, improve day-to-day decision-making, and align technological advances with context, thereby strengthening equitable and sustainable care for tropical diseases.</p>