Submitted:
20 June 2025
Posted:
24 June 2025
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Abstract
Keywords:
1. Introduction
2. Material and Methods
4.1. Study Population and Sampling
4.2. Study Questionnaire
- Demographic data (10 items): personal details of the respondent (gender, age, highest level of education, current employment status, professional field, and work location).
- General knowledge of the disease (14 items): etiology, epidemiology, clinical features, diagnosis, and prophylaxis.
- Specific knowledge about the disease in Spain (3 items): aimed at assessing respondents’ understanding of presentation forms, seasonal presentation, and the mandatory reporting of cases.
- Perception of Q Fever (4 items): multiple-choice, single-choice, and numerical rating scale (NRS from 0 to 5 points) questions, designed to evaluate participants’ opinions on their training, the quality of information sources, and the occupational zoonotic risk posed by this disease.
- Attitude toward Q Fever (7 items): single-choice and multiple-choice questions, aimed at evaluating attitudes toward the use of protective equipment and preventive measures, vaccination, early diagnosis, and continued training about the disease.
4.3. Statistical Analysis
3. Results
4. Discussion
7. Conclusions
Limitations
Conflicts of Interest
Appendix A. Supporting Information
References
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| Total participants (N=97) | n (Percentage %) | CI95% |
| Gender | ||
| Male | 54 (55.7%) | 45.8–65.6% |
| Female | 42 (43.3%) | 33.4–53.2% |
| Other | 1 (1%) | 0-3% |
| Age (years) | ||
| 22 - 30 | 10 (10.3%) | 4.3–16.4% |
| 31 - 40 | 32 (33%) | 23.6–42.4% |
| 41 - 50 | 35 (36.1%) | 26.5–45.6% |
| Over 50 | 20 (20.6%) | 12.6–28.7% |
| Higher level of studies | ||
| Bachelor’s degree in veterinary medicine | 95 (97.9%) | 95.1–100% |
| PhD in Veterinary Medicine | 2 (2.1%) | 0–4.9% |
| Another higher level of studies | ||
| Yes | 8 (8.3%) | 2.8–7.13% |
| No | 89 (91.7%) | 86.3–97.2% |
| Usual work area | ||
| Rural and semi-urban (< 10,000 inhabitants) | 27(27.8%) | 18.9–36.8% |
| Urban (> 10,000 inhabitants) | 70 (72.2%) | 63.3–81.1% |
| Work area | ||
| Public sector | 14 (14.4%) | 7.4–21.4% |
| Private sector | 81 (83.5%) | 76.1–90.9% |
| Unoccupied | 2 (2.1%) | 0–4.9% |
| Public sector (n=14) | ||
| Ministry of Agriculture and Fisheries | 6 (42.9%) | 16.9–68.8% |
| Ministry of Health | 7 (50%) | 23.8–76.2% |
| City Hall | 1 (7.1%) | 0–20.6% |
| Private sector (n=81) | ||
| Small animal clinic only | 39 (48.2%) | 37.3-59% |
| Large Clinic and Animal Production | 37 (45.7%) | 34.8–56.5% |
| Food or environmental company | 4 (4.9%) | 0.2–9.7% |
| Technology centres and laboratories | 1 (1.2%) | 0–3.6% |
| Total participants (N=97) | ||||
| Question |
Correct % (CI95%) |
Partially correct % (CI95%) |
Incorrect or I do not know % (CI95%) |
P Value |
| Is Q Fever a zoonosis? | 96.9% (93.5-100) | - | 3.1% (0-6.5) | |
| Work area | ||||
| Rural-semi-urban (n=27) | 96.3% (89.2-100) | - | 3.7% (0-10.8) | 1.00 |
| Urban (n=70) | 97.1% (93.2-100) | - | 2.9% (0-6.8) | |
| Work area | ||||
| Public sector (n=14) | 100% (100-100) | - | 0% (0-0) | 0.73 |
| Private sector (n=81) | 96.3% (92.2-100) | - | 3.7% (0-7.8) | |
| Unoccupied (n=2) | 100% (100-100) | - | 0% (0-0) | |
| Private sector Small animals (n=39) |
97.4% (92.5-100) |
- |
2.6% (0-7.5) |
0.14 |
| Large animals (n=37) | 97.3% (92.1-100) | - | 2.7% (0-7.9) | |
| Company (n=4) | 75% (32.6-100) | - | 25% (0-67.4) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| What causes Q Fever? | 82.47% (75-90) | - | 17.53% (10-25) | 0.77 |
| Work area | ||||
| Rural-semi-urban (n=27) | 85.2% (71.8-98.6) | - | 14.8% (1.4-28.2) | |
| Urban (n=70) | 81.4% (72.3-90.5) | - | 18.6% (9.5-27.7) | |
| Work area | ||||
| Public sector (n=14) | 78.6% (57-100) | - | 21.4% (0-43) | 0.42 |
| Private sector (n=81) | 84% (76-92) | - | 16% (8-24) | |
| Unoccupied (n=2) | 50% (0-100) | - | 50% (0-100) | |
| Private sector Small animals (n=39) |
84.6% (73.3-96) |
- |
15.4% (4.1-26.7) |
0.93 |
| Large animals (n=37) | 83.8% (71.9-95.6) | - | 16.2% (4.3-28.1) | |
| Company (n=4) | 75% (32.6-100) | - | 25% (0-67.4) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| In which areas is the disease endemic? | 10.3% (4.2-16.3) | 78.4% (70.1-86.6) | 11.3% (5.1-17.7) | |
| Work area | ||||
| Rural-semi-urban (n=27) | 14.5% (1.4-28.2) | 74.1% (57.5-90.6) | 11.4% (0-22.9) | 0.91 |
| Urban (n=70) | 8.6% (2-15.1) | 80% (70.6-89.4) | 11.4% (3.9-18.9) | |
| Work area | ||||
| Public sector (n=14) | 0% (0-0) | 78.6% (57.1-100) | 21.4% (0-42.9) | 0.51 |
| Private sector (n=81) | 12.4% (5.1-19.5) | 77.8% (68.7-86.8) | 9.8% (3.4-16.3) | |
| Unoccupied (n=2) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| Private sector Small animals (n=39) |
10.3% (0.8-19.8) |
79.4% (66.8-92.1) |
10.3% (0.8-19.8) |
0.51 |
| Large animals (n=37) | 16.2% (4.3-28.1) | 78.4% (65.1-91.7) | 5.4% (0-12.7) | |
| Company (n=4) | 0% (0-0) | 50% (1-99) | 50% (1-99) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0 (0-0) | |
| Which domestic species are most susceptible? | 92.8% (87.6-97.9) | - | 7.2% (2.1-12.4) | 0.66 |
| Work area | ||||
| Rural-semi-urban (n=27) | 96.3% (89.1-100) | - | 3.7% (0-10.8) | |
| Urban (n=70) | 91.4% (84.9-98) | - | 8.6% (2-15.1) | |
| Work area | ||||
| Public sector (n=14) | 100% (100-100) | - | 0% (0-0) | 0.038 |
| Private sector (n=81) | 92.6% (86.9-98.3) | - | 7.4% (1.7-13.1) | |
| Unoccupied (n=2) | 50% (1-99) | - | 50% (1-99) | |
| Private sector Small animals (n=39) |
92.3% (84-100) |
- |
7.7% (0-16.1) |
0.55 |
| Large animals (n=37) | 94.6% (87.3-100) | - | 5.4% (0-12.7) | |
| Company (n=4) | 75% (32.6-100) | - | 25% (0-67.4) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| What are its wild reservoirs? | 9.3% (3.5-15.1) | 62.3% (53.3-72.5) | 28.4% (19-36.8) | 0.87 |
| Work area | ||||
| Rural-semi-urban (n=27) | 11.1% (0-23) | 59.3% (40.7-77.8) | 29.6% (12.4-46.9) | |
| Urban (n=70) | 8.6% (2-15.1) | 64.3% (53.1-75.5) | 27.1% (16.7-37.6) | |
| Work area | ||||
| Public sector (n=14) | 0% | 64.3% (39.1-89.4) | 35.7% (10.6-60.8) | 0.62 |
| Private sector (n=81) | 11.1% (4.3-18) | 63% (52.5-73.5) | 25.9% (16.4-35.5) | |
| Unoccupied (n=2) | 0% | 50% (1-99) | 50% (1-99) | |
| Private sector Small animals (n=39) |
7.7% (0-16.1) |
64.1% (49.1-79.2) |
28.2% (14.1-42.3) |
0.85 |
| Large animals (n=37) | 16.2% (4.3-28.1) | 59.5% (43.6-75.3) | 24.3% (10.5-38.1) | |
| Company (n=4) | 0% (0-0) | 75% (32.6-100) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| How does infection occur in animals? | 10.3% (4.3-16.4) | 82.5% (75-90) | 7.2% (2.1-12.4) | 0.57 |
| Work area | ||||
| Rural-semi-urban (n=27) | 3.7% (0-10.9) | 92.6% (82.7-100) | 3.7% (0-10.9) | |
| Urban (n=70) | 12.9% (5-20.7) | 78.6% (69-88.2) | 8.5% (2-15.1) | |
| Work area | ||||
| Public sector (n=14) | 0% (0-0) | 92.9% (79.4-100) | 7.1% (0-20.7) | 0.15 |
| Private sector (n=81) | 11.1% (4.3-18) | 81.5% (73-90) | 7.4% (1.7-13.1) | |
| Unoccupied (n=2) | 50% (1-99) | 50% (1-99) | 0% (0-0) | |
| Private sector Small animals (n=39) |
15.4% (4.1-16.7) |
77% (63.7-90.1) |
7.4% (0-16.1) |
0.81 |
| Large animals (n=37) | 8.1% (0-16.9) | 86.5% (75.5-97.5) | 5.4% (0-12.7) | |
| Company (n=4) | 0% (0-0) | 75% (32.6-100) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| How does infection occur in humans? | 1% (0-3) | 91.8% (86.3-97.2) | 7.2% (2.1-12.4) | 0.86 |
| Work area | ||||
| Rural-semi-urban (n=27) | 0% (0-0) | 96.3% (89.2-100) | 3.7% (0-10.9) | |
| Urban (n=70) | 1.4% (0-4.2) | 90% (83-97) | 8.6% (2-15.1) | |
| Work area | ||||
| Public sector (n=14) | 0% (0-0) | 92.9% (79.4-100) | 7.1% (0-20.7) | 0.81 |
| Private sector (n=81) | 1.2% (0-3.6) | 91.4% (85.2-97.5) | 7.4% (1.7-13.1) | |
| Unoccupied (n=2) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| Private sector Small animals (n=39) |
2.6% (0-7.5) |
89.7% (80.2-99.3) |
7.7% (0-16.1) |
0.04 |
| Large animals (n=37) | 0% (0-0) | 97.3% (92.1-100) | 2.7% (0-8) | |
| Company (n=4) | 0% (0-0) | 75% (32.6-100) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 0% (0-0) | 100% (100-100) | |
| What is the most common form of presentation in animals? | 53.6% (43.7-63.5) | - | 46.4% (36.5-56.3) | 0.65 |
| Work area | ||||
| Rural-semi-urban (n=27) | 48.2% (29.3-67) | - | 51.8% (33-70.7) | |
| Urban (n=70) | 55.7% (44.1-67.3) | - | 44.3% (32.7-56) | |
| Work area | ||||
| Public sector (n=14) | 64.3% (39.2-89.4) | - | 35.7% (10.6-60.8) | 0.22 |
| Private sector (n=81) | 53.1% (42.2-64) | - | 46.9% (36-57.8) | |
| Unoccupied (n=2) | 0% (0-0) | - | 100% (100-100) | |
| Private sector Small animals (n=39) |
51.3% (35.6-67) |
- |
48.7% (33-64.4) |
0.49 |
| Large animals (n=37) | 56.8% (40.8-72.7) | - | 43.2% (27.3-59.2) | |
| Company (n=4) | 25% (0-67.4) | - | 75% (32.6-100) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| What are the most common clinical signs in sick animals? | 41.2% (31.4-51) | - | 58.8% (49-68.6) | 0.14 |
| Work area | ||||
| Rural-semi-urban (n=27) | 29.6% (12.4-46.9) | - | 70.4% (53.1-57.6) | |
| Urban (n=70) | 45.7% (34-57.4) | - | 54.3% (42.6-66) | |
| Work area | ||||
| Public sector (n=14) | 35.7% (10.6-60.8) | - | 64.3% (39.2-89.4) | 0.87 |
| Private sector (n=81) | 42% (31.2-52.7) | - | 58% (47.3-67.8) | |
| Unoccupied (n=2) | 50% (0-100) | - | 50% (0-100) | |
| Private sector Small animals (n=39) |
43.6% (28-59.2) |
- |
56.4% (40.9-72) |
0.5 |
| Large animals (n=37) | 40.5% (24.7-56.4) | - | 59.5% (43.7-75.3) | |
| Company (n=4) | 25% (0-67.4) | - | 75% (32.6-100) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| What is the most common form of presentation in humans? | 83.5% (76.1-90.9) | - | 16.5% (9.1-23.9) | 0.76 |
| Work area | ||||
| Rural-semi-urban (n=27) | 81.5% (66.9-96.1) | - | 18.5% (3.9-33.1) | |
| Urban (n=70) | 84.3% (75.8-92.8) | - | 15.7% (7.2-24.2) | |
| Work area | ||||
| Public sector (n=14) | 71.4% (47.8-95.1) | - | 28.6% (4.9-52.2) | 0.16 |
| Private sector (n=81) | 86.4% (79-93.9) | - | 13.6% (6.1-21.1) | |
| Unoccupied (n=2) | 50% (1-99) | - | 50% (1-99) | |
| Private sector Small animals (n=39) |
89.7% (80.2-99.3) |
- |
10.3% (0.7-19.8) |
0.75 |
| Large animals (n=37) | 83.8% (71.9-95.7) | - | 16.2% (4.3-28.1) | |
| Company (n=4) | 75% (32.6-100) | - | 25% (0-67.4) | |
| Technology centre (n=1) | 100% (100-100) | - | 0% (0-0) | |
| What are the most common clinical signs in sick people? | 10.3% (4.3-16.4) | 79.4% (71.3-87.4) | 10.3% (4.3-16.4) | 0.53 |
| Work area | ||||
| Rural-semi-urban (n=27) | 3.7% (0-10.8) | 88.9% (77-100) | 7.4% (0-17.3) | |
| Urban (n=70) | 12.9% (5-20.7) | 75.7% (65.7-85.8) | 11.4% (4-18.9) | |
| Work area | ||||
| Public sector (n=14) | 7.1% (0-20.6) | 85.8% (67.4-100) | 7.1% (0-20.6) | 0.23 |
| Private sector (n=81) | 11.1% (4.3-18) | 79% (70.1-87.9) | 9.9% (3.4-16.4) | |
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 50% (0-100) | |
| Private sector Small animals (n=39) |
12.8% (2.3-23.3) |
76.9% (63.7-90.1) |
10.3% (0.7-19.8) |
0.25 |
| Large animals (n=37) | 10.8% (0.8-20.8) | 83.8% (71.9-95.7) | 5.4% (0-12.7) | |
| Company (n=4) | 0% (0-0) | 75% (32.6-100) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 0% (0-0) | 100% (100-100) | |
| Recommended diagnostic techniques in animals | 30.9% (21.7-40.1) | 57.7% (47.9-67.6) | 11.4% (5-17.7) | 0.25 |
| Work area | ||||
| Rural-semi-urban (n=27) | 18.5% (3.9-33.1) | 66.7% (48.9-84.5) | 14.8% (1.4-28.2) | |
| Urban (n=70) | 35.7% (24.5-47) | 54.3% (42.6-66) | 10% (3-17) | |
| Work area | ||||
| Public sector (n=14) | 28.6% (4.9-52.2) | 57.1% (31.2-83.1) | 14.3% (0-32.6) | 0.36 |
| Private sector (n=81) | 30.9% (20.8-40.9) | 59.3% (48.6-70) | 9.8% (3.4-16.4) | |
| Unoccupied (n=2) | 50% (0-100) | 0% (0-0) | 50% (0-100) | |
| Private sector Small animals (n=39) |
35.9% (20.8-51) |
59% (43.5-74.4) |
5.1% (0-12.1) |
0.002 |
| Large animals (n=37) | 29.7% (15-44.5) | 62.2% (46.5-77.8) | 8.1% (0-16.9) | |
| Company (n=4) | 0% (0-0) | 25% (0-67.4) | 75% (32.6-100) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| Main biosecurity measures on livestock farms | 20.6% (12.6-18.7) | 72.2% (63.3-81.1) | 7.2% (2.1-12.4) | 0.33 |
| Work area | ||||
| Rural-semi-urban (n=27) | 25.9% (9.4-42.5) | 66.7% (48.9-84.5) | 7.4% (0-17.3) | |
| Urban (n=70) | 18.6% (9.5-27.7) | 74.3% (64.1-84.5) | 7.1% (1.1-13.2) | |
| Work area | ||||
| Public sector (n=14) | 14.3% (0-32.6) | 71.4% (47.8-95.1) | 14.3% (0-32.6) | 0.1 |
| Private sector (n=81) | 17.3% (9.1-25.5) | 77.8% (68.7-86.8) | 4.9% (0.2-9.7) | |
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 50% (0-100) | |
| Private sector Small animals (n=39) |
25.6% (11.9-39.4) |
69.2% (54.8-83.7) |
5.2% (0-12.1) |
0.13 |
| Large animals (n=37) | 8.1% (0-16.9) | 89.2% (79.2-99.2) | 2.7% (0-7.9) | |
| Company (n=4) | 25% (0-67.4) | 50% (1-99) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| Main measures to prevent human infection | 2.1% (0-4.9) | 90.7% (84.9-96.5) | 7.2% (2.1-12.4) | 0.84 |
| Work area | ||||
| Rural-semi-urban (n=27) | 0% (0-0) | 92.6% (82.7-100) | 7.4% (0-17.3) | |
| Urban (n=70) | 2.9% (0-6.8) | 90% (82.9-97) | 7.1% (1.1-13.2) | |
| Work area | ||||
| Public sector (n=14) | 0% (0-0) | 85.7% (67.4-100) | 14.3% (0-32.6) | 0.22 |
| Private sector (n=81) | 2.5% (0-5.9) | 92.6% (86.9-98.3) | 4.9% (0.2-9.7) | |
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 50% (0-100) | |
| Private sector Small animals (n=39) |
5.1% (0.4-12.1) |
89.8% (75.8-99.2) |
5.1% (0.4-12.1) |
0.68 |
| Large animals (n=37) | 0% (0-0) | 97.3% (92.1-100) | 2.7% (0-7.9) | |
| Company (n=4) | 0% (0-0) | 75% (32.6-100) | 25% (0-67.4) | |
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | |
| Total participants (N=97) | ||||
| Question | Correct% (CI95%) | Partially correct% (CI95%) | Incorrect or I do not know% (CI95%) | P Value |
| Is it a Notifiable Disease? | 71.1% (62.1-80.1) | - | 28.9% (19.9-37.9) | |
| Work area | ||||
| Rural-semi-urban (n=27) | 74.1% (57.5-90.1) | - | 25.9% (9.6-42.5) | 0.69 |
| Urban (n=70) | 70% (59.3-80.7) | - | 30% (19.3-40.7) | |
| Work area | ||||
| Public sector (n=14) | 57.1% (31.2-83.1) | - | 42.9% (16.9-68.8) | 0.35 |
| Private sector (n=81) | 74.1% (64.5-83.6) | - | 25.9% (16.4-35.5) | |
| Unoccupied (n=2) | 50% (0-100) | - | 50% (0-100) | |
| Private sector Small animals (n=39) |
76.9% (63.7-90.2) |
- |
23.1% (9.8-36.3) |
0.039 |
| Large animals (n=37) | 78.4% (65.1-91.6) | - | 21.6% (8.4-34.9) | |
| Company (n=4) | 25% (0-67.4) | - | 75% (32.6-100) | |
| Technology centre (n=1) | 0% (0-0) | - | 100% (100-100) | |
| What is the typical presentation of the disease in humans? | 37.1% (27.5-46.7) | - | 62.9% (53.3-72.5) | |
| Work area | ||||
| Rural-semi-urban (n=27) | 44.4% (25.7-63.2) | - | 55.6% (36.8-74.3) | 0.35 |
| Urban (n=70) | 34.3% (23.2-45.4) | - | 65.7% (54.6-76.8) | |
| Work area | ||||
| Public sector (n=14) | 21.4% (0-42.9) | - | 78.6% (57.1-100) | 0.21 |
| Private sector (n=81) | 40.7% (30-51.4) | - | 59.3% (48.6-70) | |
| Unoccupied (n=2) | 0% (0-0) | - | 100% (100-100) | |
| Private sector Small animals (n=39) |
43.6% (28-59.1) |
- |
56.4% (40.9-72) |
0.3 |
| Large animals (n=37) | 43.2% (27.3-59.2) | - | 56.8% (40.8-72.7) | |
| Company (n=4) | 0% (0-0) | - | 100% (100-100) | |
| Technology centre (n=1) | 0% (0-0) | - | 100% (100-100) | |
| During what period of the year do most human cases occur? | 77.3% (69-85.7) | - | 22.7% (14.3-31) | |
| Work area | ||||
| Rural-semi-urban (n=27) | 70.4% (53.2-57.6) | - | 29.6% (12.4-46.8) | 0.31 |
| Urban (n=70) | 80% (70.6-89.4) | - | 20% (10.6-19.4) | |
| Work area | ||||
| Public sector (n=14) | 57.1% (31.2-83.1) | - | 42.9% (16.9-68.8) | 0.12 |
| Private sector (n=81) | 80.3% (71.6-88.9) | - | 19.7% (11.1-28.4) | |
| Unoccupied (n=2) | 100% (100-100) | - | 0% (0-0) | |
| Private sector Small animals (n=39) |
87.2% (76.7-97.7) |
- |
12.8% (2.3-23.3) |
0.001 |
| Large animals (n=37) | 83.8% (71.9-95.7) | - | 16.2% (4.3-28.1) | |
| Company (n=4) | 0% (0-0) | - | 100% (100-100) | |
| Technology centre (n=1) | 0% (0-0) | - | 100% (100-100) | |
| Total participants (N=97) | ||||
| General knowledge |
Poor % (CI95%) |
Well % (CI95%) |
Very good % (CI95%) |
P Value |
| Gender Male (n=54) Female (n=42) Other (n=1) |
57.4% (44.2-70.6) 52.4% (37.3-67.5) 0% (0-0) |
31.5% (19.1-43.9) 35.7% (21.2-50.2) 100% (100-100) |
11.1% (2.7-19.5) 11.9% (2.1-21.7) 0% (0-0) |
0.69 |
| Age 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
40% (9.6-70.3) 59.4% (42.4-76.4) 60% (43.8-76.2) 45% (23.2-66.8) |
50% (19-81) 28.1% (12.6-43.7) 34.3% (18.6-50) 35% (14.1-55.9) |
10% (0-28.6) 12.5% (1.1-23.9) 5.7% (0-13.4) 20% (2.5-37.5) |
0.61 |
| Work area Public sector (n=14) Private sector (n=81) Unoccupied (n=2) |
42.9% (16.9-68.8) 56.8% (46-67.6) 50% (0-100) |
57.1% (31.2-83.1) 29.6% (19.7-39.6) 50% (0-100) |
0% (0-0) 13.6% (6.1-21.1) 0% (0-0) |
0.25 |
| Total | 54.6% (44.7-64.6) | 34% (24.6-43.4) | 11.4% (5-17.6) | |
| Total participants (n=97) | |||||||||||||||||||
| Do you think that official media (ministry, regional government, veterinary associations, etc.) sufficiently emphasize the importance of this disease as an occupational zoonosis? | |||||||||||||||||||
| % (CI95%) | |||||||||||||||||||
| Score 1 (P1) | 51.2% (41.6-61.5) | ||||||||||||||||||
| Score 2 (P2) | 42.3% (32.4-52.1) | ||||||||||||||||||
| Score 3 (P3) | 5.3% (0.8-9.6) | ||||||||||||||||||
| Score 4 (P4) | 0% (0-0) | ||||||||||||||||||
| Score 5 (P5) | 1.2% (0-3.1) | ||||||||||||||||||
|
P1 % (CI95%) |
P2 % (CI95%) |
P3 % (CI95%) |
P4 % (CI95%) |
P5 % (CI95%) |
P Value | ||||||||||||||
| Age | |||||||||||||||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
60% (29.6-90.4) 46.9% (29.6-64.2) 42.9% (26.5-59.3) 70% (49.9-90) |
40% (9.6-7.4) 46.9% (29.6-64.2) 48.6% (32-65.1) 25% (6-44) |
0% (0-0) 6.2% (0-14.6) 5.7% (0-13.4) 5% (0-14.6) |
0% (0-0) 0% (0-0) 0% (0-0) 0% (0-0) |
0% (0-0) 0% (0-0) 2.8% (0-8) 0% (0-0) |
0.69 | |||||||||||||
| Knowledge | |||||||||||||||||||
| Poor (n=53) Good (n=33) Very good (n=11) |
54.7% (41.3-68.1) 42.4% (25.6-59.3) 63.6% (35.2-92.1) |
39.6% (26.4-52.8) 51.6% (34.4-68.6) 27.3% (0.9-53.3) |
5.7% (0-11.9) 3% (0-8.9) 9.1% (0-26.1) |
0% (0-0) 0% (0-0) 0% (0-0) |
0% (0-0) 3% (0-9) 0% (0-0) |
0.56 | |||||||||||||
| Work area | |||||||||||||||||||
| Public sector (n=14) Private sector (n=81) Unoccupied (n=2) |
71.4% (47.8-95.1) 48.2% (37.3-59) 50% (0-100) |
28.6% (4.9-52.2) 44.4% (33.6-55.3) 50% (0-100) |
0% (0-0) 6.2% (0.9-11.4) 0% (0-0) |
0% (0-0) 0% (0-0) 0% (0-0) |
0% (0-0) 1.2% (0-4) 0% (0-0) |
0.78 | |||||||||||||
| Do you consider you have a reliable source of information regarding the protocol for handling Q fever outbreaks in animals? | |||||||||||||||||||
|
Yes % (CI95%) |
No % (CI95%) |
P Value | |||||||||||||||||
| Age | 90% (71.4-100) 96.9% (90.9-100) 88.6% (78-99.1) 80% (62.5-97.5) |
0.28 | |||||||||||||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
10% (0-28.6) 3.1% (0-9.2) 11.4% (0.9-22) 20% (2.5-37.5) |
||||||||||||||||||
| Knowledge | |||||||||||||||||||
| Poor (n=53) | 5.7% (0-11.9) | 94.4% (88.1-100) | |||||||||||||||||
| Good (n=33) | 18.2% (5-31.3) | 81.8% (68.7-95) | 0.17 | ||||||||||||||||
| Very good (n=11) | 9.1% (0-26.1) | 90.9% (73.9-100) | |||||||||||||||||
| Work area | |||||||||||||||||||
| Public sector (n=14)Private sector (n=81) Unoccupied (n=2) |
7.1% (0-20.6) 9.9% (3.4-16.4) 50% (0-100) |
92.9% (79.4-100) 90.1% (83.6-96.6) 50% (0-100) |
0.17 | ||||||||||||||||
| In your opinion, should veterinarians undergo diagnostic testing for Q fever if the disease is detected in their work area? | |||||||||||||||||||
| % (CI95%) | |||||||||||||||||||
| 20.6% (12.6-28.7) 0% (0-0) 24.7% (16.2-33.3) 49.5% (39.5-59.4) 5.2% (0.8-9.6) |
|||||||||||||||||||
| Yes, all of them | |||||||||||||||||||
| No, none | |||||||||||||||||||
| Only veterinarians in contact with animals from the outbreak | |||||||||||||||||||
| Only veterinarians in contact with animals susceptible to infection | |||||||||||||||||||
| Do not know | |||||||||||||||||||
| All% (CI95%) |
None % (CI95%) |
Contact animal’s outbreak % (CI95%) |
Contact with susceptible animals % (CI95%) |
Do not know % (CI95%) |
P Value | ||||||||||||||
| Rural-semi-urban (n=27) Urban (n=70) |
22.2% (6.6-37.9) 20% (10.6-29.4) |
0% (0-0) | 25.9% (9.4-42.5) | 51.9% (33-70.7) | 0% (0-0) | 0.56 | |||||||||||||
| 0% (0-0) | 24.3% (14.2-34.3) | 48.6% (36.9-60.3) | 7.1% (1-13) | ||||||||||||||||
| Public sector (n=14) Private sector (n=81) Unoccupied (n=2) |
14.3% (0-33) 22.2% (13.2-31.3) 0% (0-0) |
0% (0-0) | 21.4% (0-42.9) | 50% (23.8-76.2) | 14.3% (0-33) | 0.05 | |||||||||||||
| 0% (0-0) | 25.9% (16.4-35.5) | 49.4% (38.5-60.3) | 2.5% (0-5.9) | ||||||||||||||||
| 0% (0-0) | 0% (0-0) | 50% (0-100) | 50% (0-100) | ||||||||||||||||
| Private sector Small animals (n=39) Large animals (n=37) Company (n=4) Technology centre (n=1) |
25.6% (11.9-39.4) 16.2% (4.3-28.1) 25% (0-67.4) 100% (100-100) |
0% (0-0) | 23.1% (9.9-36.3) | 46.1% (30.5-61.8) | 5.2% (0-12) | 0.45 | |||||||||||||
| 0% (0-0) | 32.4% (17.4-47.5) | 51.4% (35.3-67.5) | 0% (0-0) | ||||||||||||||||
| 0% (0-0) | 0% (0-0) | 75% (32.6-100) | 0% (0-0) | ||||||||||||||||
| 0% (0-0) | 0% (0-0) | 0% (0-0) | 0% (0-0) | ||||||||||||||||
| Do you think having any of these animals as pets could put you at additional risk of contracting Q Fever? | |||||||||||||||||||
| % (CI95%) | |||||||||||||||||||
| Dog and cat Birds Rabbit and/or rodents Reptiles Do not know |
64.9% (55.5-74.4) 9.3% (3.5-15.1) 4.1% (0.2-8.1) 4.1% (0.2-8.1) 17.6% (9.9-25.1) |
||||||||||||||||||
|
Dog and cat % (CI95%) |
Birds % (CI95%) |
Rabbit % (CI95%) |
Reptile % (CI95%) |
I do not know % (CI95%) |
P Value | ||||||||||||||
| Age | 0% (0-0) 6.3% (0-14.6) 0% (0-0) 0% (0-0) |
0.06 | |||||||||||||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
80% (55.2-100) 90.6% (80.5-100) 77.1% (63.2-91.1) 55% (33.2-76.8) |
10% (0-28.6) 0% (0-0) 0% (0-0) 5% (0-14.6) |
0% (0-0) 0% (0-0) 0% (0-0) 5% (0-14.6) |
10% (0-28.6) 3.1% (0-9.2) 22.9% (8.9-36.8) 35% (14.1-55.9) |
|||||||||||||||
| Knowledge | |||||||||||||||||||
| Poor (n=53) | 69.8% (57.5-82.2) | 1.9% (0-5.6) | 3.8% (0-8.9) | 0% (0-0) | 24.5% (12.9-36.1) | ||||||||||||||
| Good (n=33) | 87.9% (76.7-99) | 0% (0-0) | 0% (0-0) | 0% (0-0) | 12.1% (1-23.3) | 0.02 | |||||||||||||
| Very good (n=11) | 81.8% (59-100) | 9.1% (0-16.1) | 0% (0-0) | 9.1% (0-16.1) | 0% (0-0) | ||||||||||||||
| Work area | |||||||||||||||||||
| Public sector (n=14) Private sector (n=81) Unoccupied (n=2) |
64.3% (39.2-89.4) 80.3% (71.6-88.9) 50% (0-100) |
0% (0-0) 2.5% (0-5.9) 0% (0-0) |
7.1% (0-20.6) 0% (0-0) 50% (0-100) |
0% (0-0) 1.2% (0-3.6) 0% (0-0) |
28.6% (4.9-52.2) 16% (8.1-24) 0% (0-0) |
0.01 | |||||||||||||
| Total participants (N=97) | |||||||
| Do you use appropriate protective equipment when handling animals suspected of having Q Fever, their carcasses, tissues or fluids? | |||||||
| % (CI95%) | |||||||
| Always | 44.3% (34.4-54.2) | ||||||
| Most of the time | 35.1% (25.6-44.6) | ||||||
| Sometimes | 4.1% (0.2-8.1) | ||||||
| Rarely | 6.2% (1.4-11) | ||||||
| Never | 10.3% (4.3-16.4) | ||||||
|
Always % (CI95%) |
Most of the time % (CI95%) |
Sometimes % (CI95%) |
Rarely % (CI95%) |
Never % (CI95%) |
P Value | ||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
40% (9.6-70.4)56.3% (39-73.4) 51.4% (34.9-68) 15% (0-30.7) |
30% (1.6-58) 37.4% (20.7-54.3) 40% (23.8-56.2) 25% (6-44) |
0% (0-0) 6.3% (0-14.7) 0% (0-0) 10% (0-23.2) |
10% (0-28.6) 0% (0-0) 0% (0-0) 25% (6-44) |
20% (0-44.8) 0% (0-0) 8.6% (0-17.9) 25% (6-44) |
0.001 | |
| Rural-semi-urban (n=27) | 51.9% (33-70.7) | 25.9% (9.4-42.5) | 0% (0-0) | 11.1% (0-23) | 11.1% (0-23) | ||
| Urban (n=70) | 41.4% (29.9-53) | 38.6% (27.2-50) | 5.7% (0.3-11) | 4.3% (0-9) | 10% (3-17) | 0.35 | |
| Public sector (n=14) | 50% (23.8-76.2) | 21.4% (0-42.9) | 0% (0-0) | 7.2% (0-20.6) | 21.4% (0-42.9) | ||
| Private sector (n=81) | 44.4% (33.6-55) | 38.3% (27.7-48.9) | 4.9% (0.2-9) | 6.2% (0.9-11.4) | 6.2% (0.9-11.4) | 0.004 | |
| Unoccupied (n=2) | 0% (0-0) | 0% (0-0) | 0% (0-0) | 0% (0-0) | 100% (100-100) | ||
| Private sector Small animals (n=39) |
41% (25.6-56.5) | 38.5% (23.2-53.7) | 10.3% (0.7-19) | 2.5% (0-7.5) | 7.7% (0-16) | ||
| Large animals (n=37) | 48.7% (32.5-65) | 35.1% (19.7-50.5) | 0% (0-0) | 10.8% (0.8-21) | 5.4% (0-12.7) | 0.58 | |
| Company (n=4) | 25% (0-67.4) | 75% (32.6-100) | 0% (0-0) | 0% (0-0) | 0% (0-0) | ||
| Technology centre (n=1) | 100% (100-100) | 0% (0-0) | 0% (0-0) | 0% (0-0) | 0% (0-0) | ||
| Are you vaccinated against Q Fever? | |||||||
| % (CI95%) | |||||||
| Yes | 0% (0-0) | ||||||
| No | 29.9% (20.8-39) | ||||||
| In shoots | 2.1% (0-4.9) | ||||||
| I do not know if there is a vaccine. | 68% (58.8-77.3) | ||||||
|
Yes % (CI95%) |
No % (CI95%) |
In case of outbreaks % (CI95%) |
I do not know if there is a vaccine % (CI95%) |
P Value | |||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
0% (0-0) 0% (0-0) 0% (0-0) 0% (0-0) |
50% (19-81) 25% (10-40) 25.7% (11.2-40.2) 35% (14.1-55.9) |
0% (0-0) 3.1% (0-9.2)0% (0-0) 5% (0-14.6) |
50% (19-81) 71.9% (56.3-87.5) 74.3% (59.8-88.8) 60% (38.5-81.5) |
0.56 | ||
| Rural-semi-urban (n=27) | 0% (0-0) | 25.9% (9.4-42.5) | 3.7% (0-10.9) | 70.4% (53.2-87.6) | 0.69 | ||
| Urban (n=70) | 0% (0-0) | 31.4% (20.6-42.3) | 1.4% (0-4.2) | 67.2% (56.1-78.2) | |||
| Public sector (n=14) | 0% (0-0) | 28.6% (4.9-52.2) | 0% (0-0) | 71.4% (47.8-95.1) | |||
| Private sector (n=81) | 0% (0-0) | 29.6% (19.7-39.6) | 2.5% (0-5.9) | 67.9% (57.7-78.1) | 0.93 | ||
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 0% (0-0) | 50% (0-100) | |||
| Private sector Small animals (n=39) |
0% (0-0) | 30.8% (16.3-45.3) | 2.6% (0-7.5) | 66.6% (51.9-81.5) | |||
| Large animals (n=37) | 0% (0-0) | 29.7% (15-44.5) | 2.7% (0-7.9) | 67.6% (52.5-82.7) | 0.99 | ||
| Company (n=4) | 0% (0-0) | 25% (0-67.4) | 0% (0-0) | 75% (32.6-100) | |||
| Technology centre (n=1) | 0% (0-0) | 0% (0-0) | 0% (0-0) | 100% (100-100) | |||
| Do you take preventative medications when handling animals that show symptoms compatible with Q Fever or have tested positive for a diagnostic test? | |||||||
| % (CI95%) | |||||||
| Yes | 1% (0-3) | ||||||
| No | 99% (97-100) | ||||||
|
Yes % (CI95%) |
No % (CI95%) |
P Value | |||||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
0% (0-0) 0% (0-0) 0% (0-0) 5% (0-14.6) |
100% (100-100) 100% (100-100) 100% (100-100) 95% (85.5-100) |
0.27 | ||||
| Rural-semi-urban (n=27) | 0% (0-0) | 100% (100-100) | 0.53 | ||||
| Urban (n=70) | 1.4% (0-4.2) | 98.6% (95.8-100) | |||||
| Public sector (n=14) | 0% (0-0) | 100% (100-100) | |||||
| Private sector (n=81) | 1.2% (0-3.6) | 98.8% (96.4-100) | 0.9 | ||||
| Unoccupied (n=2) | 0% (0-0) | 100% (100-100) | |||||
| Private sector Small animals (n=39) |
2.6% (0-7.5) | 97.4% (92.5-100) | |||||
| Large animals (n=37) | 0% (0-0) | 100% (100-100) | 0.77 | ||||
| Company (n=4) | 0% (0-0) | 100% (100-100) | |||||
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | |||||
| Did you know that the Ministry of Labour’s Good Practices Guide for occupational zoonoses (NTP411) allows immunoprophylaxis (vaccination) and chemoprophylaxis (antimicrobials) in cases where personal protective equipment (PPE) is not possible? | |||||||
| % (CI95%) | |||||||
| Yes | 2.1% (0-4.9) | ||||||
| No | 97.9% (95.1-100) | ||||||
|
Yes % (CI95%) |
No% (CI95%) | P Value | |||||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
10% (0-28.6) 0% (0-0) 0% (0-0) 5% (0-14.6) |
90% (71.4-100) 100% (100-100) 100% (100-100) 95% (85.5-100) |
0.14 | ||||
| Rural-semi-urban (n=27) | 0% (0-0) | 100% (100-100) | |||||
| Urban (n=70) | 2.9% (0-6.8) | 97.1% (93.2-100) | 0.37 | ||||
| Public sector (n=14) | 0% (0-0) | 100% (100-100) | |||||
| Private sector (n=81) | 1.2% (0-3.6) | 98.8% (96.4-100) | 0.001 | ||||
| Unoccupied (n=2) | 50% (0-100) | 50% (0-100) | |||||
| Private sector Small animals (n=39) |
2.6% (0-7.5) | 97.4% (92.5-100) | |||||
| Large animals (n=37) | 0% (0-0) | 100% (100-100) | 0.77 | ||||
| Company (n=4) | 0% (0-0) | 100% (100-100) | |||||
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | |||||
| Are you up to date on the human situation of Q Fever in Spain? | |||||||
| % (CI95%) | |||||||
| Yes | 12.4% (5.8-18.9) | ||||||
| No | 40.2% (30.5-50) | ||||||
| In case of outbreaks | 47.4% (37.5-57.4) | ||||||
|
Yes % (CI95%) |
No % (CI95%) |
In case of outbreaks % (CI95%) |
P Value | ||||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
0% (0-0) 25% (10-40) 8.6% (0-17.9) 5% (0-14.6) |
40% (9.6-70.4) 21.9% (7.6-36.2) 45.7% (29.2-62.2) 60% (38.5-81.5) |
60% (29.6-90.4) 53.1% (35.8-70.4) 45.7% (29.2-62.2) 35% (14.1-55.9) |
0.047 | |||
| Rural-semi-urban (n=27) | 11.1% (0-23) | 33.3% (15.6-51.1) | 55.6% (36.8-74.3) | ||||
| Urban (n=70) | 12.9% (5-20.7) | 42.9% (31.2-54.4) | 44.3% (32.7-55.9) | 0.6 | |||
| Public sector (n=14) | 0% (0-0) | 50% (23.8-76.2) | 50% (23.8-76.2) | ||||
| Private sector (n=81) | 14.8% (7.1-22.6) | 38.3% (27.7-48.9) | 46.9% (36.1-57.8) | 0.58 | |||
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 50% (0-100) | ||||
| Private sector Small animals (n=39) |
12.8% (2.3-23.3) | 43.6% (28-59.2) | 43.6% (28-59.2) | ||||
| Large animals (n=37) | 18.9% (6.3-31.5) | 29.7% (15-44.5) | 51.4% (35.3-67.3) | 0.66 | |||
| Company (n=4) | 0% (0-0) | 50% (1-99) | 50% (1-99) | ||||
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | ||||
| Are you up to date on the Q Fever situation in animals in Spain? | |||||||
| % (CI95%) | |||||||
| Yes | 29.9% (20.8-39) | ||||||
| No | 24.7% (16.2-33.3) | ||||||
| In case of outbreaks | 45.4% (35.5-55.3) | ||||||
|
Yes % (CI95%) |
No % (CI95%) |
In case of outbreaks % (CI95%) |
P Value | ||||
| Age | |||||||
| 22 - 30 years (n=10) 31 - 40 years (n=32) 41 - 50 years (n=35) Over 50 years old (n=20) |
20% (0-44.8) 37.5% (20.7-54.3) 31.4% (16.1-46.8) 20% (2.5-37.5) |
30% (1.6-58.4) 3.1% (0-9.2) 25.7% (11.2-40.2) 55% (33.2-76.8) |
50% (19-81) 59.4% (42.4-76.4) 42.9% (26.5-59.3) 25% (6-44) |
0.005 | |||
| Rural-semi-urban (n=27) | 25.9% (9.4-42.5) | 25.9% (9.4-42.5) | 48.2% (29.3-67) | ||||
| Urban (n=70) | 31.4% (20.6-42.3) | 24.3% (14.2-34.3) | 44.3% (32.7-55.9) | 0.86 | |||
| Public sector (n=14) | 14.2% (0-32.6) | 42.9% (16.9-68.8) | 42.9% (16.9-68.8) | ||||
| Private sector (n=81) | 33.3% (23.1-43.6) | 21% (12.1-29.9) | 45.7% (34.8-56.5) | 0.29 | |||
| Unoccupied (n=2) | 0% (0-0) | 50% (0-100) | 50% (0-100) | ||||
| Private sector Small animals (n=39) |
33.3% (18.5-48.1) | 20.5% (7.8-33.2) | 46.2% (30.5-61.8) | ||||
| Large animals (n=37) | 37.8% (22.2-53.5) | 16.2% (4.3-28.1) | 46% (29.9-62) | 0.29 | |||
| Company (n=4) | 0% (0-0) | 50% (1-99) | 50% (1-99) | ||||
| Technology centre (n=1) | 0% (0-0) | 100% (100-100) | 0% (0-0) | ||||
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