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Fig 1.

Epicurve of EHEC O104:H4 Outbreak in Hamburg, Germany.

Shown are EHEC and HUS cases according to date of symptom onset (boxes, n = 656) and notification date (line, n = 554). The last outbreak-associated case fell ill on July 4, 2011. The arrow indicates the day when RKI was informed of a cluster of three pediatric HUS cases admitted to the Hamburg University Hospital.

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Fig 1 Expand

Fig 2.

Age and Sex Distribution of EHEC and HUS Cases during EHEC O104:H4 Outbreak in Hamburg, 2011.

Nine age groups were defined for EHEC cases (upper panel, n = 482) and HUS cases (lower panel, n = 174).

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Fig 2 Expand

Table 1.

Interval between Symptom Onset and Case Notification from Calendar Week 20 to 26.

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Table 1 Expand

Fig 3.

Spatial Distribution of EHEC/HUS Incidences of Hamburg during EHEC O104:H4 Outbreak 2011.

Street addresses of EHEC/HUS cases were mapped and incidences (cases per 10,000) calculated for 100 districts of Hamburg. Incidences were categorized in six groups as shown.

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Fig 3 Expand

Fig 4.

EHEC/HUS Incidence Distribution in 100 Districts during EHEC O104:H4 Outbreak in Hamburg, 2011.

Incidences (cases per 10,000) were categorized in 21 groups as indicated.

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Fig 4 Expand

Table 2.

Explanatory Variables in Poisson Models for EHEC/HUS Outbreak Incidences.

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Table 2 Expand

Fig 5.

Spatial Distribution of Four Socio-economic Variables in 100 Districts of Hamburg.

Fig 5A-D show distribution maps for explanatory variables from models in Table 2. (A) variable No. 37 “turnout of voters, city parliament election 2011”, (B) variable No. 14 “proportion of single-person households to all households in percent”, (C) variable No. 7 “proportion of foreigners to all inhabitants in percent”, (D) variable No. 49 "average living space per inhabitant in square meter".

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Fig 5 Expand

Fig 6.

Structured and Unstructured Spatial Effects of Regression Model in 100 Districts of Hamburg.

Shown is the excess risk ratio due to combined structured and unstructured spatial effects from model in Table 2A, i.e., exp((ψi + vi) −1) ∙ 100.

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Fig 7.

Spatial Residuals of Regression Model in 100 Districts of Hamburg.

Shown is the difference between EHEC/HUS cases and those estimated by the model in Table 2A, i.e., per neighborhood i.

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Fig 7 Expand