Predicted toxicity to microorganisms in WWTPs and river stretches resulting from exposure to antibiotics during influenza pandemics. Scenarios: s1, AVP = 0, rate of AVT = 30%, limited supply of Tamiflu; s2, 2 week AVP, AVP = 0.1%, rate of AVT = 30%, limited supply of Tamiflu; s3, 4 week AVP, AVP = 0.1%, rate of AVT = 30%, limited supply of Tamiflu; s4, 2 week AVP, AVP = 1%, rate of AVT = 30%, limited supply of Tamiflu; s5, 4 week AVP, AVP = 1%, rate of AVT = 30%, limited supply of Tamiflu; s6, AVP = 0, rate of AVT = 30%, unlimited supply of Tamiflu. (A,C,D) Percentage of WWTPs (A), river stretches (C), and river length (total length of the river stretches in the Thames River Basin; D) predicted to exceed the toxicity threshold of 5% PAF by transmission scenario (mild, moderate, and severe). Values shown are median and 95% RRs obtained from the drug use pattern predicted by the 1,000 stochastic runs of the GLEaM model. No bar is visible when the median value equals zero; this is the case, for example, for the mild and moderate scenarios. Note that antiviral treatment is assumed in the moderate and severe pandemic scenarios only, with 30% case detection and drug administration. Intervention with antivirals is modeled by assuming that each country has limited stockpiles of the drug [s1–s5; see Supplemental Material, Figure 4 (doi:10.1289/ehp.1002757)] (Colizza et al. 2007; Singer et al. 2008) or that each country can count on a hypothetical unlimited supply of drugs (s6). PAF calculations are based on the antibiotic sensitivity distributions of human pathogens and a combination of two mixture toxicity models. (B and E) Absolute toxicity, shown as a percentage of microbial species predicted to be growth inhibited (PAF) per each WWTP (B) and river stretch (E) according to the pharmaceutical mitigating conditions explored, in the mild, moderate, and severe transmission scenarios.