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. 2019 Oct 29;13(10):e0007750. doi: 10.1371/journal.pntd.0007750

Table 1. Prevalence (%) of Cryptosporidum spp. among immigrant workers to Qatar, according to the subjects’ personal characteristics, migration history, education, and job family.

Statistical analysis was based on single factor models. For multifactorial analysis see text.

n No. infected
Prevalence (%)
CL95 Odds ratioβ X2 P
PERSONAL CHARACTERISTICS
Age
18–22 years 110 2 (1.8) 0.57–5.07 0.019
23–29 years 351 19 (5.4) 3.34–8.61 0.057
30–37 years 229 11 (4.8) 3.15–7.19 0.050
38–56 years 149 6 (4.0) 1.65–8.78 0.042 3.13 0.37
Sex
Male 522 23 (4.4) 3.27–5.91 0.046
Female 317 15 (4.7) 2.89–7.59 0.050 0.048 0.83
Religion
Buddhist 15 1 (6.7) 0.35–30.20 0.071
Christian 217 11 (5.1) 3.39–7.45 0.053
Hindu 225 19 (8.4) 6.19–11.42 0.092
Muslim 382 7 (1.8) 0.74–4.32 0.019 14.92 0.002
Region of origin
west Asia 612 27 (4.4) 3.20–6.04 0.046
eastern Asia 175 10 (5.7) 2.65–11.52 0.061
northern & saharan Africa 18 0 (0) 0.00–18.52 0.000
sub saharan Africa 34 1 (2.9) 0.35–13.05 0.030 2.44 0.49
Education
None 194 2 (1.0) 0.08–5.29 0.010
Elementary school only 466 33 (7.1) 4.31–11.32 0.076
Up to intermediate school 33 0 (0) 0.00–8.04 0.000
Up to high school 126 3 (2.4) 0.83–6.16 0.024
Graduate/postgraduate 20 0 (0) 0.00–16.68 0.000 20.46 <0.001
Occupation/Profession*
Blue collar 419 21 (5.0) 2.88–8.50 0.053
Pink collar 42 0 (0) 0.00–9.69 0.000
White collar 15 0 (0) 0.00–22.22 0.000
Housemaids 308 15 (4.9) 3.02–7.71 0.051
Food handlers 55 2 (3.6) 1.12–9.69 0.038 5.69 0.22
Monthly income (QR)
600–999 209 3 (1.4) 0.68–2.96 0.015
1000–1499 383 22 (5.7) 3.51–9.20 0.061
1500–2999 218 13 (6.0) 4.10–8.53 0.063
>2999 29 0 (0) 0.00–11.53 0.000 11.09 0.011

β. The values of the Odds Ratios provided reflect the likelihood of being infected compared to being without infection at each level within the factors listed. A value of 1 would reflect equal likelihood of either being infected or without infection, i.e. a prevalence of 50%.

*Occupation/Profession:

Blue collar: mechanics, masons, builders, car wash attendants, carpenters, cleaners, crane operators, drivers, electricians, fire fighters, fitters, gardeners, labourers, painters, plumbers, steel fixers and welders.

Pink collar: barbers, beauticians, butlers, grocers, hairdressers, lifeguards’ merchandisers, nurses, safety officers/guards, salespersons, saloon workers, security guards and tailors.

White collar: accountants, cashiers, civil engineers, clerks, IT experts, office boys, receptionists, and secretaries.

Food handlers: bakers, butchers, chefs, cooks, kitchen assistants, waiters/waitresses.