Research article
Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium
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* Corresponding author: Niel Hens niel.hens@uhasselt.be
- † Equal contributors
1 Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-Biostat), Hasselt University and Catholic University of Leuven, Agoralaan 1, 3590 Diepenbeek, Belgium
2 Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Center for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Belgium
BMC Infectious Diseases 2009, 9:5 doi:10.1186/1471-2334-9-5
Published: 20 January 2009Additional files
Additional file 1:
Diary Children Dutch. original diaries in Dutch for children.
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Additional file 2:
Diary Children French. original diaries in French for children.
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Additional file 3:
Diary Adolescents Dutch. original diaries in Dutch for adolescents.
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Additional file 4:
Diary Adolescents French. original diaries in French for adolescents.
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Additional file 5:
Diary Adults Dutch. original diaries in Dutch for adults.
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Additional file 6:
Diary Adults French. original diaries in French for adults.
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Additional file 7:
Data dictionary. English data dictionary of the diaries.
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Figure 4 non-augmented. Figure 4 for the non-augmented data.
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Figure 5 non-augmented. Figure 5 for the non-augmented data.
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Figure 6 non-augmented. Figure 6 for the non-augmented data.
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Figure 7 non-augmented. Figure 7 for the non-augmented data.
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Additional file 12:
WGEE. The results of the weighted GEE analyses.
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