| Literature DB >> 32650753 |
Alessandra Putrino1, Mario Raso2, Cosimo Magazzino3, Gabriella Galluccio4.
Abstract
BACKGROUND: The coronavirus infection that emerged in China in the last few months of 2019 has now spread globally. Italy registered its first case in the second half of February, and in a short time period, it became the top country in Europe in terms of the number of infected people and the first in the world in terms of deaths. The medical and scientific community has been called upon to manage the emergency and to take measures. Dentists also need to take new precautions during their clinical activity to protect themselves, coworkers and patients from the risks of contagion and to avoid further spread of infection.Entities:
Keywords: 2019 novel coronavirus; COVID-19; Dentistry; Health management; Knowledge; Survey
Mesh:
Year: 2020 PMID: 32650753 PMCID: PMC7349471 DOI: 10.1186/s12903-020-01187-3
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Fig. 1Confirmed cumulative cases. Data Source: World Health Organization. Updated to March 28th 2020
Fig. 2Confirmed cumulative cases by country. Data Source: World Health Organization. Updated to March 28th 2020
Fig. 3Trend of confirmed cases in Italy. Data Source: Italian Civil Protection Department. Updated to 28th March 2020
COVID-19 National trend updated to: March 28th 2020 a
| REGIONS | CONFIRMED CASES | RECOVERED CASES | DEATHS | TOTAL CASES | SWAB TESTS |
|---|---|---|---|---|---|
| Lombardy | 24.509 | 8.962 | 5.944 | 39.415 | 102.503 |
| Emilia-Romagna | 9.964 | 1.075 | 1.344 | 12.383 | 52.991 |
| Veneto | 6.913 | 655 | 362 | 7.930 | 89.380 |
| Piedmont | 6.851 | 203 | 617 | 7.671 | 21.511 |
| Tuscany | 3.511 | 108 | 198 | 3.817 | 25.613 |
| Marche | 2.999 | 10 | 364 | 3.373 | 9.884 |
| Lazio | 2.181 | 200 | 124 | 2.505 | 27.179 |
| Trentino-Alto Adige | 2.163 | 267 | 184 | 2.614 | 14.729 |
| Liguria | 2.086 | 378 | 358 | 2.822 | 8.177 |
| Campania | 1.407 | 76 | 109 | 1.592 | 10.616 |
| Apulia | 1.358 | 29 | 71 | 1.458 | 11.500 |
| Sicily | 1.242 | 60 | 57 | 1.359 | 13.096 |
| Friuli-Venezia Giulia | 1.120 | 229 | 87 | 1.436 | 12.723 |
| Abruzzi | 1.027 | 30 | 76 | 1.133 | 7.003 |
| Umbria | 898 | 43 | 28 | 969 | 7.028 |
| Sardinia | 569 | 29 | 26 | 624 | 4.225 |
| Calabria | 523 | 11 | 21 | 555 | 7.760 |
| Valle d’Aosta | 468 | 2 | 41 | 511 | 1.380 |
| Basilicata | 178 | 1 | 3 | 182 | 1.421 |
| Molise | 98 | 16 | 9 | 123 | 807 |
adata source: Italian Civil Protection Department- Ministry of Health
Distribution of dentists in Italy by Region
| Regions | Number of Dentists | Percentages | Population | Inhabitants/Dentist rate number | Dentist number for 1000 inhabitants |
|---|---|---|---|---|---|
| Piedmont | 4.64 | 7,33 | 4.457.335 | 1.045 | 1,0 |
| Valle d’Aosta | 79 | 0,14 | 128.230 | 1.623 | 0,6 |
| Lombardy | 9.807 | 16,85 | 9.917.714 | 1.011 | 1,0 |
| Trentino A.A. | 827 | 1,42 | 1.037.114 | 1.254 | 0,8 |
| Veneto | 4.464 | 7,67 | 4.937.854 | 1.106 | 0,9 |
| Friuli V.G. | 1.539 | 2,64 | 1.235.808 | 803 | 1,2 |
| Liguria | 2.108 | 3,62 | 1.616.788 | 767 | 1,3 |
| Emilia-Romagna | 4.366 | 7,50 | 4.432.418 | 1.015 | 1,0 |
| Tuscany | 3.948 | 6,78 | 3.749.813 | 950 | 1,1 |
| Umbria | 945 | 1,62 | 906.486 | 959 | 1,0 |
| Marche | 1.839 | 3,16 | 1.565.335 | 851 | 1,2 |
| Lazio | 6.419 | 11,03 | 5.728.688 | 892 | 1,1 |
| Abruzzi | 1.199 | 2,06 | 1.342.366 | 1.120 | 0,9 |
| Molise | 303 | 0,52 | 319.780 | 1.055 | 0,9 |
| Campania | 4.779 | 8,21 | 5.834.056 | 1.221 | 0,8 |
| Apulia | 3.494 | 6,00 | 4.091.259 | 1.171 | 0,9 |
| Basilicata | 418 | 0,72 | 587.517 | 1.406 | 0,7 |
| Calabria | 1.883 | 3,24 | 2.011.395 | 1.068 | 0,9 |
| Sicily | 3.973 | 6,83 | 5.051.075 | 1.271 | 0,8 |
| Sardinia | 1.549 | 2,66 | 1.675.411 | 1.082 | 0,9 |
| Total | 58.203 | 100,0 | 60.626.442 | 1.042 | 1,0 |
Questionnaire and results
| QUESTIONS AND ANSWERS | RESULTS | |
|---|---|---|
| 1. Where do you work? | ||
| A) In a private dental office | 416 | 77.8% |
| B) In a public hospital | 18 | 3.4% |
| C) Both | 101 | 18.9% |
| 2. Which age group do you belong to? | ||
| A) Up to 35 years | 174 | 32.5% |
| B) From 36 to 45 years old | 146 | 27.3% |
| C) From 46 to 60 years old | 179 | 33.5% |
| D) Over 60 | 36 | 6.7% |
| 3. Are you a man or a woman? | ||
| A) Man | 261 | 48.8% |
| B) Woman | 274 | 51.2% |
| 4. Are you a specialist? | ||
| A) Yes, in orthodontics | 90 | 16.8% |
| B) Yes, in oral surgery | 62 | 11.6% |
| C) Yes, in paediatric dentistry | 9 | 1.7% |
| D) No | 224 | 41.9% |
| E) No, but I predominantly practice a specific branch (e.g. implantprosthesis, endodontics, etc.) | 150 | 28.0% |
5. In your region (the one where you practice your professional activity) there have been cases of Coronavirus infection? | ||
| A) Yes | 374 | 69.9% |
| B) No | 161 | 30.1% |
| 6. In which region do you exercise your professional activity? (Open answer) | ||
| Results detailed in Fig. | ||
| 7. How many inhabitants are there in your city? | ||
| A) Less than 10,000 | 58 | 10.8% |
| B) 10,001 to 330,000 | 217 | 40.6% |
| C) Between 330,001 and 660,000 | 82 | 15.3% |
| D) Between 660,001 and 1 million | 46 | 8,6% |
| E) Over 1 million | 132 | 24.7% |
| 8. How many patients attend your practice every day? | ||
| A) Less than 10 | 101 | 18.9% |
| B) No more than 10 | 172 | 32.1% |
| C) Beyond 10 | 262 | 49.0% |
| 9. Since the Coronavirus outbreak, have you noticed a decrease in access to your dental office or public hospital you work in? | ||
| A) Yes | 94 | 17.6% |
| B) No | 270 | 50.5% |
| C) Yes, only after the spread of cases in our Country | 122 | 22.8% |
| D) I don’t know | 49 | 9.2% |
| 10. From a scientific point of view, how much do you think you are informed about Coronavirus? | ||
| A) Not at all | 5 | 0.9% |
| B) Little | 78 | 14.6% |
| C) Enough, I think I’m sucly informed | 250 | 46.7% |
| D) Very, I think I am properly informed | 152 | 28.4% |
| E) Very much, my knowledge on the topic is going hand in hand with updates from the international community | 50 | 9.3% |
| 11. How did you get the scientific informations about Coronavirus? | ||
| A) Television, online and/or print newspapers and social media | 220 | 20.8% |
| B) Institutions (Minister of Health, Italian Government, Order of Physicians, etc.) | 398 | 37.6% |
| C) Other colleagues | 78 | 7.3% |
| D) Scientific literature | 171 | 16.1% |
| E) Professional associations | 180 | 17.0% |
| F) Other | 8 | 0.8% |
| G) I am not informed | 2 | 0.2% |
12. Coronaviruses are a large family of viruses, known to infect both humans and some animals, whose primary target cells are those epithelial of the respiratory and gastrointestinal tract. How do you judge this statement? | ||
| A) True | 390 | 72.9% |
| B) False | 88 | 16.4% |
| C) I don’t know | 57 | 10.7% |
| 13. What does nCov mean? | ||
| A) A strain of coronavirus that had not previously been identical in humans | 338 | 63.2% |
| B) The virus of the common cold | 29 | 5.4% |
| C) The SARS virus | 51 | 9.5% |
| D) I don’t know | 117 | 21.9% |
| 14. Is the SARS-Cov-2 virus causing the current coronavirus outbreak? | ||
| A) No it’s the SARS virus name only | 120 | 22.4% |
| B) Yes, and it belongs to the same family of acute respiratory syndrome (SARS) virus | 90 | 16.8% |
| C) Yes, and can also be named 2019-nCov | 56 | 10.5% |
| D) Answers B and C are correct | 236 | 44.1% |
| E) none of the previous | 33 | 6.2% |
| 15. What does COVID-19 mean? | ||
| A) The virus that causes the current outbreak | 366 | 68.4% |
| B) The disease caused by the new coronavirus | 143 | 26.7% |
| C) The drug used to treat infected patients | 2 | 0.4% |
| D) None of the previous answers | 24 | 4.5% |
| 16. What are the most common symptoms in current coronavirus infection? | ||
| A) Just colds and coughs | 2 | 0.4% |
| B) Fever, cough and respiratory difficulties | 53 | 9.9% |
| C) From mild symptoms such as colds, sore throats, fever, muscle aches, coughs to more severe symptoms such as respiratory difficulties and pneumonia | 463 | 86.5% |
| D) Fever and pneumonia | 16 | 3.0% |
| E) None of the above answers | 1 | 0.2% |
| 17. How is the new Coronavirus transmitted from person to person? | ||
| A) Only through saliva | 3 | 0.6% |
| B) Through saliva, coughing, sneezing, contaminated hands | 169 | 31.6% |
| C) Through direct personal contact with infected people | 36 | 6.7% |
| D) None of the previous answers | 1 | 0.2% |
| E) Options B and C are correct | 326 | 60.9% |
| 18. Are you aware of the existence of a free online course on Coronavirus available to all medical and dental operators promoted by Fnomceo (National Federation of Surgeons and Dentists)? | ||
| A) Yes and I’ve already done it | 31 | 5.8% |
| B) Yes, I will | 142 | 26.5% |
| C) Yes, but I don’t think I do | 24 | 4.5% |
| D) No, I didn’t know it now and I will | 284 | 53.1% |
| E) No, I didn’t know but I don’t think I do | 54 | 10.1% |
| 19. Did your patients ask you questions about Coronavirus? | ||
| A) Yes | 349 | 65.2% |
| B) No | 186 | 34.8% |
| 20. Do patients seem concerned about the possibility of receiving dental visits/treatments safely? | ||
| A) Yes | 207 | 38.7% |
| B) No | 328 | 61.3% |
| 21. Since the spread of Coronavirus in our Country have you taken precautions or taken special measures during the course of the professional activity? | ||
| A) Yes | 369 | 69.0% |
| B) No | 166 | 31.0% |
| 22. Which of these prevention methods are you possibly adopting? | ||
| A) Air exchange always between patients and periodically also in the waiting room | 177 | 14.9% |
| B) In the history include informations about symptoms compatible with infection or recent trips to areas affected by contagion or frequenting with people from those areas (recommended by phone) | 118 | 10.0% |
| C) Constant use of IPR (individual protective devices) by all dental office/hospital staff | 218 | 18.4% |
| D) Frequent hand and cleaning of the contact surfaces (e.g. handles or buttons) | 234 | 19.7% |
| E) Alcohol disinfectant available to patients and carers for hand cleaning at the entrance | 115 | 9.7% |
| F) All previous | 300 | 25.3% |
| G) None of the previous | 14 | 1.2% |
| H) Other | 9 | 0.8% |
| 23. How concerned are you about the spread of Coronavirus infection in our country? | ||
| A) Not at all | 8 | 1.5% |
| B) Little | 125 | 23.4% |
| C) Enough | 270 | 50.5% |
| D) Very | 89 | 16.6% |
| E) Very much | 43 | 8.0% |
| 24. One last question... Do you think that dental activity can be considered safe and free from the risk of contagion and spread of the virus for operators and patients? | ||
| A) Yes | 67 | 12.5% |
| B) No | 468 | 87.5% |
Fig. 4The rectangles with the names of the different regions of Italy are accompanied by the number of dentists who participated in the survey. The color scale distinguishes the different distribution of confirmed cases (data source: Italian Civil Protection, updated to March 28th 2020)
Measures of association -gender
| Pearson | LR | Cramér’s | Goodman-Kruskal’s | Kendall’s | Fisher’s exact test | |
|---|---|---|---|---|---|---|
1. Gender- QUALITY OF INFORMATION(10) | 0.1343 | −0.0319 (0.069) | − 0.0185 (0.040) | (0.044) | ||
2. | ||||||
3. Gender- LEVEL OF INFORMATION(12) | 0.1315 | 0.2681 (0.086) | 0.1254 (0.041) | (0.010) | ||
4. Gender- LEVEL OF INFORMATION(13) | 1.5626 (0.668) | 1.5670 (0.667) | 0.0540 | −0.0029 (0.079) | −0.0015 (0.041) | (0.674) |
5. Gender- LEVEL OF INFORMATION(14) | 0.7400 (0.946) | 0.7403 (0.946) | 0.0372 | 0.0243 (0.066) | 0.0145 (0.040) | (0.947) |
6. Gender- LEVEL OF INFORMATION(15) | 2.8786 (0.411) | 3.6511 (0.302) | 0.0734 | 0.0664 (0.088) | 0.0318 (0.042) | (0.492) |
7. Gender- LEVEL OF INFORMATION(16) | 5.1846 (0.269) | 5.6270 (0.229) | 0.0984 | 0.1794 (0.121) | 0.0623 (0.042) | (0.190) |
8. Gender- LEVEL OF INFORMATION(17) | 0.1402 | −0.1012 (0.081) | −0.0523 (0.042) | (0.015) | ||
9. Gender- CORRECT RISK MANAGEMENT(22) | 1.7211 (0.190) | 1.7214 (0.190) | −0.0567 | −0.1221 (0.092) | − 0.0567 (0.043) | (0.192) |
10. Gender- RISK PERCEPTION(23) | 0.2159 | 0.2272 (0.067) | 0.1322 (0.040) | (0.000) | ||
11. Gender- RISK PERCEPTION(24) | 1.2709 (0.260) | 1.2717 (0.259) | 0.0487 | 0.1466 (0.128) | 0.0487 (0.043) | (0.296) |
Notes: unequal variances assumed, after some checks. P-Values in parentheses. For Goodman-Kruskal’s γ and Kendall’s τ-b the Asymptotic Standard Errors (ASE) are reported. p < 0.10, p < 0.05, p < 0.01
Measures of association- age
| Pearson | LR | Cramér’s | Goodman-Kruskal’s | Kendall’s | Fisher’s exact test | |
|---|---|---|---|---|---|---|
12. Age- QUALITY OF INFORMATION(10) | 0.1566 | −0.0835 (0.055) | − 0.0580 (0.038) | |||
13. Age- LEVEL OF INFORMATION(18) | 17.6918 (0.125) | 18.1606 (0.111) | 0.1050 | −0.0814 (0.058) | −0.0547 (0.039) | |
14. Age- LEVEL OF INFORMATION(12) | 1.5170 (0.958) | 1.5206 (0.958) | 0.0377 | −0.0131 (0.070) | −0.0072 (0.039) | (0.947) |
15. Age- LEVEL OF INFORMATION(13) | 0.0976 | −0.2079 (0.060) | −0.1289 (0.038) | |||
16. Age- LEVEL OF INFORMATION(14) | 0.1118 | −0.1332 (0.051) | −0.0948 (0.036) | |||
17. Age- LEVEL OF INFORMATION(15) | 7.0758 (0.629) | 7.9172 (0.543) | 0.0664 | 0.1031 (0.068) | 0.0588 (0.039) | (0.488) |
18. Age- LEVEL OF INFORMATION(16) | 8.8334 (0.717) | 10.1643 (0.602) | 0.0742 | 0.0679 (0.093) | 0.0280 (0.038) | (0.545) |
19. Age- LEVEL OF INFORMATION(17) | 0.1098 | 0.0726 (0.063) | 0.0446 (0.039) | |||
20. Age- CORRECT RISK MANAGEMENT(22) | 1.1150 (0.773) | 1.1188 (0.773) | 0.0457 | −0.0303 (0.072) | −0.0166 (0.040) | (0.777) |
21. Age- RISK PERCEPTION(23) | 13.6528 (0.552) | 13.6826 (0.550) | 0.0922 | −0.0193 (0.056) | −0.0132 (0.038) | |
22. Age- RISK PERCEPTION(24) | 5.9705 (0.113) | 0.1134 | 0.1004 (0.101) | 0.0402 (0.041) | (0.093) |
Notes: unequal variances assumed, after some checks. P-Values in parentheses. For Goodman-Kruskal’s γ and Kendall’s τ-b the Asymptotic Standard Errors (ASE) are reported. p < 0.10, p < 0.05, p < 0.01
Measures of association- region
| Pearson | LR | Cramér’s | Goodman-Kruskal’s | Kendall’s | |
|---|---|---|---|---|---|
23. Region- QUALITY OF INFORMATION(10) | 63.4819 (0.912) | 68.3577 (0.820) | 0.1722 | −0.0254 (0.044) | −0.0197 (0.034) |
24. Region- LEVEL OF INFORMATION(18) | 95.6957 (0.111) | 0.2115 | −0.0046 (0.047) | −0.0035 (0.035) | |
25. Region- LEVEL OF INFORMATION(12) | 43.3894 (0.329) | 47.8005 (0.186) | 0.2014 | −0.0396 (0.055) | −0.0246 (0.034) |
26. Region- LEVEL OF INFORMATION(13) | 0.2353 | −0.0473 (0.049) | −0.0329 (0.034) | ||
27. Region- LEVEL OF INFORMATION(14) | 0.2314 | 0.0086 (0.044) | 0.0068 (0.035) | ||
28. Region- LEVEL OF INFORMATION(15) | 50.7542 (0.797) | 0.2195 | −0.0732 0.058 | −0.0472 (0.037) | |
29. Region- LEVEL OF INFORMATION(16) | 77.2407 (0.567) | 64.3017 (0.900) | 0.1900 | −0.0493 (0.081) | −0.0229 (0.038) |
30. Region- LEVEL OF INFORMATION(17) | 76.1563 (0.601) | 54.2159 (0.988) | 0.1886 | −0.0450 (0.053) | −0.0309 (0.037) |
31. Region- CORRECT RISK MANAGEMENT(22) | 0.2807 | 0.0276 (0.061) | 0.0172 (0.038) | ||
32. Region- RISK PERCEPTION(23) | 66.2305 (0.996) | 68.6691 (0.993) | 0.1574 | 0.0420 (0.045) | 0.0322 (0.035) |
33. Region- RISK PERCEPTION(24) | 23.0833 (0.285) | 22.4473 (0.317) | 0.2077 | 0.0816 (0.089) | 0.0367 (0.040) |
Notes: unequal variances assumed, after some checks. P-Values in parentheses. For Goodman-Kruskal’s γ and Kendall’s τ-b the Asymptotic Standard Errors (ASE) are reported. p < 0.10, p < 0.05, p < 0.01