biostudies-literatureSella YNIA NIH HHSNIDA NIH HHSNIAID NIH HHSNHLBI NIH HHSNCI NIH HHSNIGMS NIH HHSe0111023https://www.ebi.ac.uk/biostudies/studies/S-EPMC10878097biostudies-literatureUnknown9(2)Host-microbe interactions constitute dynamical systems that can be represented by mathematical formulations that determine their dynamic nature and are categorized as deterministic, stochastic, or chaotic. Knowing the type of dynamical interaction is essential for understanding the system under study. Very little experimental work has been done to determine the dynamical characteristics of host-microbe interactions, and its study poses significant challenges. The most straightforward experimental outcome involves an observation of time to death upon infection. However, in measuring this outcome, the internal parameters and the dynamics of each particular host-microbe interaction in a population of interactions are hidden from the experimentalist. To investigate whether a time-to-death (timmSystemsPreliminary evidence for chaotic signatures in host-microbe interactions.PMC10878097R01 AI152078R01 HL059842R01 CA164468R01 DA033788R35 GM128871F30 AG077736T32 GM136577R01 AI052733Broderick NABergman AMcEwan DLSella YCasadevall AAusubel FMStouffer KMfalsePreliminary evidence for chaotic signatures in host-microbe interactions.Host-microbe interactions constitute dynamical systems that can be represented by mathematical formulations that determine their dynamic nature and are categorized as deterministic, stochastic, or chaotic. Knowing the type of dynamical interaction is essential for understanding the system under study. Very little experimental work has been done to determine the dynamical characteristics of host-microbe interactions, and its study poses significant challenges. The most straightforward experimental outcome involves an observation of time to death upon infection. However, in measuring this outcome, the internal parameters and the dynamics of each particular host-microbe interaction in a population of interactions are hidden from the experimentalist. To investigate whether a time-to-death (tim2024-01-01T00:00:00Z2024 Feb2026-06-17T06:35:20.672Z2025-04-05T00:29:53.281ZS-EPMC108780973819764710.1128/msystems.01110-23