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. 2020 Apr 13;14(4):e0008136. doi: 10.1371/journal.pntd.0008136

Table 2. Univariate analysis of socio-demographic characteristics associated with the use of the internet to seek information regarding chikungunya.

Variable Use of the internet 95% CI for exp b P-value*
Users n (%) Total number of subjects Crude OR
Age (years)3 52 (15.4) 337 0.95 0.93–0.97 < 0.001*
Gender3
 Male 7 (7.7) 91 1 - -
 Female 45 (18.3) 246 2.69 1.16–6.20 0.02*
Education3 0.02*
 Illiterate and primary school 4 (5.0) 80 1 - -
 Secondary school 21 (16.5) 127 3.76 1.24–11.41 0.02*
 Intermediate vocational school 15 (18.1) 83 4.19 1.33–13.24 0.01*
 Higher vocational education 12 (25.5) 47 6.51 1.96–21.63 < 0.001*
Occupation1,3 0.01*
 Unemployed 7 (11.1) 63 1 - -
 Paid job (manual) 25 (17.5) 143 1.69 0.69–4.15 0.25
 Paid job (not manual) 17 (25.4) 67 2.72 1.04–7.10 0.04*
 Retired 3 (4.7) 64 0.39 0.10–1.60 0.19
Income (ANG/month)2,4 0.17
 0–999 3 (8.6) 35 1 - -
 1000–2499 16 (11.9) 135 1.43 0.39–5.23 0.58
 2500–4999 21 (17.8) 118 2.31 0.65–8.26 0.20
 ≥5000 10 (23.3) 43 3.23 0.81–12.83 0.09*

1The variable unemployed includes student, housewife and volunteer.

2Antillean Guilders, 1 ANG = 0.54 USA dollars and 0.47 EUR.

3For two participants the data regarding internet usage was missing. These two participants were excluded from the data analysis (n = 337).

4For eight participants the data regarding internet usage was missing. These eight participants were excluded from the data analysis (n = 331).

*Significance was determined at an alpha level of 0.10.