COVID-19 in Switzerland and Liechtenstein: A Cross-Sectional Survey among Dentists’ Awareness, Protective Measures and Economic Effects
Abstract
1. Introduction
2. Materials and Methods
2.1. Development and Calibration of the Questionnaire
2.2. Online Survey
2.3. Data Analysis
3. Results
4. Discussion
4.1. Awareness of COVID-19
4.2. Protective Measures
4.3. Economic Effects on Dental Practice
4.4. Limitations
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
COVID-19 | Coronavirus Disease |
SARS-CoV-2 | Severe Acute Respiratory Syndrome Coronavirus 2 |
OF | Observed frequency |
AG | Aargau |
AI | Appenzell Innerhoden |
AR | Appenzell Ausserrhoden |
BE | Bern |
BL | Basel-Landschaft |
BS | Basel-Stadt |
FL | Fürstentum (Principality of) Liechtenstein |
FR | Fribourg |
GE | Genève |
GL | Glarus |
GR | Graubünden |
JU | Jura |
LU | Luzern |
NE | Neuchâtel |
NW | Nidwalden |
OW | Obwalden |
SG | St. Gallen |
SH | Schaffhausen |
SO | Solothurn |
SZ | Schwyz |
TG | Thurgau |
TI | Ticino |
UR | Uri |
VD | Vaud |
VS | Valais |
ZG | Zug |
ZH | Zürich |
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Symptoms/Signs | Low Prevalence Area | Middle Prevalence Area | High Prevalence Area | Total | ||||
---|---|---|---|---|---|---|---|---|
OF | % | OF | % | OF | % | n | % | |
Fever | 3 | 0.23 | 4 | 0.30 | 4 | 0.30 | 11 | 0.83 |
Cramer’s V = 0.06 Fisher’s exact = 0.12 | ||||||||
Cough | 8 | 0.60 | 3 | 0.23 | 5 | 0.38 | 16 | 1.21 |
Cramer’s V = 0.06 Fisher’s exact = 0.08 | ||||||||
Fatigue | 4 | 0.30 | 8 | 0.60 | 8 | 0.60 | 20 | 1.51 |
Cramer’s V = 0.09 Fisher’s exact > 0.01 | ||||||||
Breathing difficulties | 2 | 0.15 | 4 | 0.30 | 3 | 0.23 | 9 | 0.68 |
Cramer’s V = 0.05 Fisher’s exact = 0.14 | ||||||||
Nasal congestion | 3 | 0.23 | 1 | 0.08 | 3 | 0.23 | 7 | 0.53 |
Cramer’s V = 0.06 Fisher’s exact = 0.09 |
COVID 19 | Normal Working | Working Additionally Measures | Only Emergencies | Stop Working for More than 2 Weeks | Practice Close Due to Economic Hardship | Practice Close (Positively Employee) | Practice Close (Positively Owner) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OF | % | OF | % | OF | % | OF | % | OF | % | OF | % | OF | % | |
Low prevalence | 11 | 1.81 | 328 | 54.04 | 105 | 17.30 | 126 | 20.76 | 19 | 3.13 | 1 | 0.16 | 17 | 2.80 |
Middle prevalence | 9 | 1.75 | 250 | 48.64 | 98 | 19.07 | 119 | 23.15 | 15 | 2.92 | 3 | 0.58 | 20 | 3.89 |
High prevalence | 6 | 3.09 | 75 | 38.66 | 48 | 24.74 | 35 | 18.04 | 8 | 4.12 | 2 | 1.03 | 20 | 10.31 |
p-value | χ2(2) = 66.21 < 0.01 | χ2(2) = 48.33 < 0.01 | χ2(2) = 18.73 <0.01 | χ2(2) = 7.97 0.02 | χ2(2) = 36.66 < 0.01 | 0.09 | χ2(2) = 61.37 < 0.01 |
COVID 19 Prevalence | Workload < 10% | Workload < 30% | Workload 60% | Normal Workload (100%) | ||||
---|---|---|---|---|---|---|---|---|
OF | % | OF | % | OF | % | OF | % | |
Low prevalence | 428 | 46.37 | 106 | 54.92 | 23 | 46.00 | 49 | 32.03 |
Middle prevalence | 379 | 41.06 | 71 | 36.79 | 18 | 36.00 | 9 | 18.00 |
High prevalence | 116 | 12.57 | 16 | 8.29 | 51 | 33.33 | 53 | 34.64 |
p-value | χ2(2) = 297.82 < 0.01 | χ2(2) = 496.71 < 0.01 | χ2(2) = 37.84 < 0.01 | χ2(2) = 8.11 0.02 |
COVID 19 | Small | Medium-Small | Medium-Large | Large | ||||
---|---|---|---|---|---|---|---|---|
OF | % | OF | % | OF | % | OF | % | |
Low prevalence | 41 | 6.73 | 121 | 19.87 | 62 | 10.18 | 385 | 63.22 |
Middle prevalence | 17 | 3.26 | 146 | 28.02 | 69 | 13.24 | 289 | 55.47 |
High prevalence | -- | -- | -- | -- | 59 | 30.41 | 135 | 69.59 |
p-value | χ2(2) = 23.12 < 0.01 | χ2(2) = 1.75 0.19 | χ2(2) = 16.04 < 0.01 | χ2(2) = 4.82 0.09 |
Use of Face Filter (FFP2/FFP3) | Disposable Visor | ||||||||
---|---|---|---|---|---|---|---|---|---|
COVID 19 | Area | No | Yes | No | Yes | ||||
OF | % | OF | % | OF | % | OF | % | ||
Low prevalence | Small | 34 | 58.62 | 24 | 41.38 | 39 | 95.12 | 2 | 4.88 |
Medium-small | 143 | 53.56 | 124 | 46.44 | 108 | 89.26 | 13 | 10.74 | |
Medium-large | 88 | 46.32 | 102 | 53.68 | 54 | 87.10 | 8 | 12.90 | |
Large | 363 | 44.87 | 446 | 55.13 | 330 | 85.71 | 55 | 14.29 | |
p-value | χ2(3) = 12.69 p < 0.01 | χ2(3) = 3.52 p = 0.32 | |||||||
Middle Prevalence | Small | 25 | 60.98 | 16 | 39.02 | 12 | 70.59 | 5 | 29.41 |
Medium-small | 77 | 63.64 | 44 | 36.36 | 113 | 77.40 | 33 | 22.60 | |
Medium-large | 29 | 46.77 | 33 | 53.23 | 59 | 85.51 | 10 | 14.49 | |
Large | 185 | 48.05 | 200 | 51.95 | 249 | 86.16 | 40 | 13.84 | |
p-value | χ2(3) = 10.97 p = 0.01 | χ2(3) = 54.73 p < 0.01 | |||||||
High Prevalence | Small | 9 | 52.94 | 8 | 47.06 | -- | -- | -- | -- |
Medium-small | 66 | 45.21 | 80 | 54.79 | -- | -- | -- | -- | |
Medium-large | 38 | 55.07 | 31 | 44.93 | 47 | 79.66 | 12 | 20.34 | |
Large | 143 | 49.48 | 146 | 50.52 | 114 | 84.44 | 21 | 15.56 | |
p-value | χ2(3) = 1.99 p = 0.57 | χ2(1) = 0.37 p = 0.54 |
COVID-19 Prevalence Area | Variables | OR (SE) | p-Value | 95% CI |
---|---|---|---|---|
Low Prevalence | Base Outcome | |||
Middle Prevalence | Area by size | 0.90 (0.06) | 0.08 | 0.79–1.01 |
Work during lockdown | 1.02 (0.02) | 0.45 | 0.97–1.07 | |
Presence of symptoms | 1.37 (0.40) | 0.27 | 0.78–2.42 | |
Use of face filter (FFP2/FFP3) | 1.11 (0.13) | 0.403 | 0.87–1.41 | |
Disposable visor | 1.32 (0.23) | 0.78 | 0.69–1.65 | |
High Prevalence | Area by size | 1.80 (0.22) | <0.01 | 1.41–2.29 |
Work during lockdown | 1.17 (0.03) | <0.01 | 1.11–1.23 | |
Presence of symptoms | 2.91 (0.88) | <0.01 | 1.61–5.26 | |
Use of face filter (FFP2/FFP3) | 2.55 (0.48) | <0.01 | 1.77–3.68 | |
Disposable visor | 1.15 (0.28) | 0.54 | 0.72–1.85 |
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Wolf, T.G.; Zeyer, O.; Campus, G. COVID-19 in Switzerland and Liechtenstein: A Cross-Sectional Survey among Dentists’ Awareness, Protective Measures and Economic Effects. Int. J. Environ. Res. Public Health 2020, 17, 9051. https://doi.org/10.3390/ijerph17239051
Wolf TG, Zeyer O, Campus G. COVID-19 in Switzerland and Liechtenstein: A Cross-Sectional Survey among Dentists’ Awareness, Protective Measures and Economic Effects. International Journal of Environmental Research and Public Health. 2020; 17(23):9051. https://doi.org/10.3390/ijerph17239051
Chicago/Turabian StyleWolf, Thomas Gerhard, Oliver Zeyer, and Guglielmo Campus. 2020. "COVID-19 in Switzerland and Liechtenstein: A Cross-Sectional Survey among Dentists’ Awareness, Protective Measures and Economic Effects" International Journal of Environmental Research and Public Health 17, no. 23: 9051. https://doi.org/10.3390/ijerph17239051
APA StyleWolf, T. G., Zeyer, O., & Campus, G. (2020). COVID-19 in Switzerland and Liechtenstein: A Cross-Sectional Survey among Dentists’ Awareness, Protective Measures and Economic Effects. International Journal of Environmental Research and Public Health, 17(23), 9051. https://doi.org/10.3390/ijerph17239051