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Figure 4 | BMC Infectious Diseases

Figure 4

From: Influenza pandemic intervention planning using InfluSim: pharmaceutical and non- pharmaceutical interventions

Figure 4

Effects of contact reduction measures. Number of outpatients expected during a pandemic wave if contact reduction measures are implemented additionally to the isolation of cases. Parameter values are based on the InfluSim standard configuration [15] with R 0 = 2.5, except those listed at the end of this legend and indicated by superscripts1. The dashed curve shows the epidemic without intervention. Contact reduction involves social distancing2 and isolation of cases3. The curves show the effects caused by social distancing, where contacts are reduced by 0%4 (grey curve) up to 30%5 in steps of 2%6 (black curves, from left to right). Bars at the bottom of each graph illustrate the periods of contact reduction, which are in A: full, from day 0 to end, in B: delayed, from day 20 to the end, and in C: temporarily, from day 20 to day 50.1:Parameter modifications are given in the following and terms in italics refer to terms in the InfluSim user interface. InfluSim output: N i = cumulative proportion of the population infected, and N o = cumulative proportion of outpatients in the population. 2: Contact reduction: ranging from 0–30% in steps of 2%. Range of days: varied between A, B, and C, see legend or grey bar at the bottom of each graph. 3: Isolation: Moderately sick cases: 10%, Severe cases (home): 20%, Severe cases (hospital): 30%. Range of days: varied between A, B, and C, see legend or grey bar at the bottom of each graph. 4: Intervention effect is based on Isolation alone, yielding N i = 81%, N o = 27% in A, B and C. 5: Yielding in A: N i = 56%, N o = 19%, and B: N i = 57%, N o = 19%, and C: N i = 82%, N o = 27%. 6: E.g. for a Contact reduction of 20%, we obtain in A: N i = 68%, N o = 22%, in B: N i = 67%, N o = 22%, and in C: N i = 79%, N o = 26%.

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