Latent variation in pathogen strain-specific effects under multiple-versions-of-treatment theory

Evidence-informed policy on infections requires estimates of their effects on health. However, pathogenic variation, whereby occurrence of adverse outcomes depends on the infecting strain, might complicate the study of many infectious agents. Here, we consider the interpretation of epidemiologic studies on effects of infections on health when there is heterogeneity in strain-specific effects and information on strain composition is unavailable. We use potential outcomes and causal inference theory for analyses in the presence of multiple versions of treatment to argue that oft-reported quantities in these studies have a causal interpretation that depends on population frequencies of infecting strains. Moreover, as in other contexts where the treatment-variation-irrelevance assumption might be violated, transportability requires additional considerations, beyond those needed for non-compound exposures. This discussion, that considers potential heterogeneity in strain-specific effects, will facilitate interpretation of these studies, and for the reasons mentioned above, also highlights the value of pathogen subtype data.

💡 Research Summary

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The paper addresses a common problem in infectious‑disease epidemiology: many studies measure the presence of a pathogen but do not identify which strain (variant, serotype, genotype, etc.) caused the infection. When strain‑specific effects on health outcomes exist, the usual “infection‑versus‑no‑infection” comparison is ambiguous because the exposure is actually a compound treatment composed of several unobserved versions. The author adopts the potential‑outcomes framework together with the Multiple‑Versions‑of‑Treatment (MVOT) theory to clarify what is being estimated when strain information is missing.

First, the author defines the binary exposure (X) (1 = infection detected by a non‑discriminatory assay, 0 = no infection) and a latent variable (A) that denotes the actual strain (or a special “no‑strain” version for uninfected individuals). (X) is a coarsened version of (A). Because the consistency assumption (observed outcome equals the potential outcome under the actually received treatment) fails when multiple versions exist, the standard causal interpretation of (E