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. Author manuscript; available in PMC: 2017 Aug 3.
Published in final edited form as: CSCW Conf Comput Support Coop Work. 2017 Feb-Mar;2017:1812–1834. doi: 10.1145/2998181.2998183

Table 1.

Overview of the main experiments. This shows the diseases and countries we studied with properties of each, as well a summary of each of the 19 contexts. Bold r2 indicates the high-performing contexts examined in more detail in the results section.

Country
Total Wikipedia traffic from country [175]
Language
Country’s traffic in language [175]
Total language traffic from country [174]
Official data source
Colombia
0.5%
Spanish
89%
7.6%
[75]
Germany
7.5%
German
75%
79%
[74]
Israel
0.5%
Hebrew
54%
93%
[111]
United States
22%
English
94%
42%
[27]
Disease Timing
Chlamydia erratic max(r2)
root article
total cases
0.08
graphic file with name nihms875530t1.jpg
4.0×103
0.11
Chlamydia infection
3.4 × 106

Dengue fever seasonal max(r2)
root article
total cases
0.91
Dengue
5.4 × 105
0.31
Denguefieber
4.0 × 103
0.07
graphic file with name nihms875530t2.jpg
1.9×101
0.33
Dengue fever
3.1 × 103

Influenza seasonal max(r2)
root article
total cases
0.93
Influenza
2.3 × 105
0.77
Influenza
3.6 × 106

Malaria seasonal max(r2)
root article
total cases
0.71
Malaria
3.2 × 105
0.06
graphic file with name nihms875530t3.jpg
6.0 × 102
0.24
Malaria
3.4 × 103

Measles erratic max(r2)
root article
total cases
0.40
Sarampión
9.2 × 103
0.46
Masern
2.5 × 104
0.46
graphic file with name nihms875530t4.jpg
4.6× 102
0.49
Measles
6.5 × 102

Pertussis erratic max(r2)
root article
total cases
0.59
Tos ferina
9.7 × 103
0.83
Keuchhusten
4.8 × 104
0.48
graphic file with name nihms875530t5.jpg
1.2 × 104
0.48
Pertussis
5.3 × 104