Same $${{R}}_{0}$$, Different Risk: Colonization-Age Timing and Heterogeneity Drive ICU MRSA Establishment and Burden

Abstract Intensive care unit (ICU) control of methicillin-resistant Staphylococcus aureus (MRSA) occurs over short horizons, whereas $$R_0$$ R 0 summarizes average transmission at the importation-free disease-free state without encoding timing. We couple within-host bacterial and immune dynamics to an ICU model structured by colonization age, generating transmission and progression kernels that vary with colonization age. A two-stage framework uses a branching process to quantify finite-threshold crossing and a deterministic ward model to quantify conditional burden after the threshold is reached. Calibration fixes $$\eta =0.10$$ η = 0.10 and distributes colonized admissions across pre-admission colonization ages. Of 1, 000, 000 parameter sets, 45, 250 satisfy cumulative $$R^2\ge 0.90$$ R 2 ≥ 0.90 . The representative calculation is subcritical, with $$R_0=0.907957$$ R 0 = 0.907957 ; across accepted sets, the median and 95% behavioral range are 0.917464 and $$[0.814593,\,1.032975]$$ [ 0.814593 , 1.032975 ] , with $$92.460\%$$ 92.460 % below one. At $$Z_{\textrm{crit}}=5$$ Z crit = 5 , exact threshold-reaching probabilities are 0.114659 for age-dependent transmission and 0.117074 for matched constant transmission. Their accepted-set difference range crosses zero, so this contrast has no robust direction. By contrast, age-dependent transmission reaches 50% of reproductive potential earlier in $$98.378\%$$ 98.378 % of accepted sets. In 200-day conditional simulations, delaying $$\tau _{\textrm{crit}}$$ τ crit from 5 to 15 days increases the age-dependent peak total MRSA burden from 5.629 to 7.298 patients and cumulative total burden from 683.8 to 1398.0 patient-days. At the 9-day baseline and equal $$R_0$$ R 0 , age dependence gives a $$7.372\%$$ 7.372 % higher peak but a $$9.304\%$$ 9.304 % lower cumulative burden than constant transmission. Increasing $$\kappa _{\max }$$ κ max from 0.6 to 1.4 times baseline reduces $$R_0$$ R 0

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Journal
Bulletin of Mathematical Biology
Published
2026-10-28
DOI
https://doi.org/10.1007/s11538-026-01770-9
Primary Topic
Antimicrobial Resistance in Staphylococcus
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article
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article

Same $${{R}}_{0}$$, Different Risk: Colonization-Age Timing and Heterogeneity Drive ICU MRSA Establishment and Burden

Taye Samuel Faniran
Bulletin of Mathematical Biology
Antimicrobial Resistance in Staphylococcus
article

Same $${{R}}_{0}$$, Different Risk: Colonization-Age Timing and Heterogeneity Drive ICU MRSA Establishment and Burden

Taye Samuel Faniran
article en

Abstract

Abstract Intensive care unit (ICU) control of methicillin-resistant Staphylococcus aureus (MRSA) occurs over short horizons, whereas $$R_0$$ R 0 summarizes average transmission at the importation-free disease-free state without encoding timing. We couple within-host bacterial and immune dynamics to an ICU model structured by colonization age, generating transmission and progression kernels that vary with colonization age. A two-stage framework uses a branching process to quantify finite-threshold crossing and a deterministic ward model to quantify conditional burden after the threshold is reached. Calibration fixes $$\eta =0.10$$ η = 0.10 and distributes colonized admissions across pre-admission colonization ages. Of 1, 000, 000 parameter sets, 45, 250 satisfy cumulative $$R^2\ge 0.90$$ R 2 ≥ 0.90 . The representative calculation is subcritical, with $$R_0=0.907957$$ R 0 = 0.907957 ; across accepted sets, the median and 95% behavioral range are 0.917464 and $$[0.814593,\,1.032975]$$ [ 0.814593 , 1.032975 ] , with $$92.460\%$$ 92.460 % below one. At $$Z_{\textrm{crit}}=5$$ Z crit = 5 , exact threshold-reaching probabilities are 0.114659 for age-dependent transmission and 0.117074 for matched constant transmission. Their accepted-set difference range crosses zero, so this contrast has no robust direction. By contrast, age-dependent transmission reaches 50% of reproductive potential earlier in $$98.378\%$$ 98.378 % of accepted sets. In 200-day conditional simulations, delaying $$\tau _{\textrm{crit}}$$ τ crit from 5 to 15 days increases the age-dependent peak total MRSA burden from 5.629 to 7.298 patients and cumulative total burden from 683.8 to 1398.0 patient-days. At the 9-day baseline and equal $$R_0$$ R 0 , age dependence gives a $$7.372\%$$ 7.372 % higher peak but a $$9.304\%$$ 9.304 % lower cumulative burden than constant transmission. Increasing $$\kappa _{\max }$$ κ max from 0.6 to 1.4 times baseline reduces $$R_0$$ R 0

Bulletin of Mathematical BiologyVol. 88(11)
University of California, San Francisco (US)
Openalex Percentile: Top 12%
Antimicrobial Resistance in Staphylococcus
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Same ${{R}}_{0}$, Different Risk: Colonization-Age Timing and Heterogeneity Drive ICU MRSA Establishment and Burden — Taye Samuel Faniran · Bulletin of Mathematical Biology (2026) | TGRS Research Map | TGRS