COVID-19 Influenced the Epidemiology of Facial Trauma: A Narrative Review, 2020–2024
Abstract
:1. Introduction
Rationale and Objectives of Study
2. Materials and Methods
2.1. Definitions
2.2. Search Strategy
- “Facial trauma” OR “facial injury” OR “facial fracture” OR “maxillofacial trauma” OR “maxillofacial injury”;
- “COVID” OR “COVID-19” OR “coronavirus”;
- “Social distancing” OR “lockdown”.
2.3. Study Selection
2.4. Censorship
2.5. Data Analysis
2.6. Ethics
3. Results
3.1. Literature Search
3.2. Incidence of Facial Trauma
3.3. Etiology of Facial Trauma
4. Discussion
5. Conclusions
5.1. Strengths and Weaknesses
5.2. Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
First Author, Year of Publication | Incidence (as % Change from Control to COVID Cohort) | Etiology of Facial Trauma (as % of COVID Cohort) | Change in Etiology Incidence (as % Change Between Control and COVID Cohort) | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Falls | RTA | IPV | Sport | DA | DV | SH | Animal | Falls | RTA | IPV | Sport | DA | DV | SH | Animal | ||
Araujo, 2022 [6] | 4% decrease | 47% | 24% | 21% | 3% | −4% | −1% | 6% | 1% | 23% | |||||||
Barca, 2020 [7] | - | ↑ | |||||||||||||||
Blackhall, 2020 [8] | Decrease | 62% | 8% | 7% | 1% | ↑ | ↓ | ↓ | ↑ | ||||||||
Bohneberger, 2021 [9] | 24% decrease | 19% | 34% | 12% | 13% | 3% | 6% | −3% | 1% | ||||||||
Boom, 2022 [10] | 51% decrease | 21% | 58% | 21% | 0% | 6% | Nil | Nil | −3% | ||||||||
Canzi, 2020 [11] | 17% increase | 24% | 9% | 7% | 20% | 20% | 17% | −20% | 4% | Nil | 12% | 11% | |||||
Chundoo, 2023 [12] | 25% decrease | 94% | 2% | 4% | 1% | 2% | −2% | ||||||||||
Clark, 2021 [13] | 68% decrease | 43% | 12% | 33% | 6% | 3% | −16% | ||||||||||
Dawoud, 2021 [14] | Nil change | 30% | 10% | 45% | 2% | 5% | 5% | −17% | −3% | ||||||||
De Boutray, 2021 [15] | 65% decrease | 20% | 40% | 5% | 11% | 6% | |||||||||||
Donohoe, 2021 [16] | 47% decrease | ||||||||||||||||
Famà, 2021 [17] | 56% decrease | ||||||||||||||||
Ferragina, 2022 [18] | 20% decrease | 54% | 23% | 23% | 2% | ↑ | ↓ | ↑ | 18% | ||||||||
Figueiredo, 2022 [19] | 52% decrease | 30% | 15% | 20% | 3% | −15% | −6% | −67% | |||||||||
Gabriele, 2022 [20] | 41% decrease | ||||||||||||||||
Gangwani, 2021 [21] | 39% increase | 30% | 19% | 23% | 3% | 1% | 5% | 2% | −1% | −2% | 2% | −4% | 1% | 1% | |||
Giovannetti, 2022 [22] | 159% increase | 37% | 17% | 30% | 14% | 27% | −32% | 22% | −15% | ||||||||
Gourishetti, 2023 [23] | 8% decrease | ||||||||||||||||
Guo et al., 2020 [24] | - | >50% | ↑ | ||||||||||||||
Haapanen, 2021 [25] | No change | 56% | 4% | 14% | 14% | −1% | −18% | ||||||||||
Hoffman, 2021 (UK) [26] | 73% decrease | 54% | 3% | 22% | 0% | 5% | 24% | −2% | −23% | −9% | −1% | ||||||
Hoffman, 2023 (AU) [27] | 30% decrease | 38% | 8% | 26% | 14% | 4% | 6% | 17% | −3% | −12% | −4% | 4% | Nil | ||||
Infante-Cossio, 2022 [28] | 35% decrease | 34% | 34% | 27% | 5% | −3% | 12% | 8% | 2% | ||||||||
Irgebay, 2022 [29] | 57% decrease | 41% | 3% | 15% | 13% | 31% | −11% | −15% | −4% | ||||||||
Ismail, 2021 [30] | 76% decrease | 39% | 29% | 5% | 1% | 2% | 11% | 13% | 7% | 3% | 1% | ||||||
Kadanthode, 2022 [31] | 32% decrease | ↑ | ↑ | ||||||||||||||
Kanna, 2020 [32] | 107% decrease | 9% | 79% | 8% | 0% | 1% | −16% | 7% | −1% | 1% | |||||||
Kasem, 2022 [33] | 80% decrease | 40% | 10% | 30% | 0% | Nil | Nil | Nil | Nil | ||||||||
Kim, 2021 [34] | 22% decrease | 15% | 13% | 24% | 7% | 31% | −24% | 4% | −4% | 27% | |||||||
Kim, 2022 [35] | 25% decrease | 43% | 26% | 15% | 4% | 7% | −4% | −3% | −5% | ||||||||
Koca, 2021 [36] | 74% decrease | 25% | 13% | 34% | 5% | 20% | −12% | 1% | 17% | −8% | 1% | ||||||
Lee, 2021 [37] | 23% decrease | 46% | 26% | 16% | 1% | 4% | 2% | −1% | Nil | −3% | −1% | ||||||
Lee, 2023 [38] | 57% decrease | 50% | |||||||||||||||
Lentge, 2021 [39] | 14% increase | 5% | 12% | 26% | 1% | 5% | 2% | ||||||||||
Longino, 2022 [40] | 37% increase | ||||||||||||||||
Ludwig, 2021 [41] | 27% decrease | 29% | 31% | 21% | −9% | −3% | 6% | ||||||||||
Marchant, 2021 [42] | 4% decrease | 9% | 1% | Nil | Nil | ||||||||||||
McEwen, 2021 [43] | 73% decrease (UK) | 54% | 3% | 22% | 0% | 5% | 24% | −2% | −23% | −9% | −1% | ||||||
30% decrease (AU) | 38% | 8% | 26% | 14% | 4% | 6% | 17% | −3% | −12% | −4% | 4% | Nil | |||||
Meera, 2022 [44] | 44% decrease | 50% | 30% | 20% | 10% | −12% | 2% | ||||||||||
Nawaz, 2022 [45] | - | 19% | 66% | 8% | |||||||||||||
Neiva-Sous, 2022 [46] | 32% decrease | 41% | 18% | 23% | 0% | 15% | 4% | −16% | −10% | ||||||||
Nhongo, 2022 [47] | 28% decrease | 44% | 3% | 32% | 4% | 7% | 18% | 2% | −12% | −13% | 6% | ||||||
Ozkan, 2021 [48] | 43% decrease | 56% | 14% | 19% | 2% | 1% | 13% | Nil | −7% | 1% | Nil | ||||||
Philip, 2022 [49] | 46% decrease | 18% | 67% | 8% | 3% | 8% | 2% | −4% | −1% | ||||||||
Press, 2021 [50] | 36% decrease | 34% | 26% | 21% | 18% | 5% | 2% | −18% | 9% | ||||||||
Press, 2022 [51] | 25% decrease | 31% | 31% | 25% | 13% | 5% | 6% | −15% | 4% | ||||||||
Puglia, 2021 [52] | - | 39% | 23% | 19% | 6% | ||||||||||||
Puglia, 2021 [53] | 53% decrease | 42% | 24% | 13% | 4% | 4% | 1% | −7% | −2% | ||||||||
Qiu, 2021 [54] | 19% decrease | 38% | 8% | 26% | 14% | 4% | 6% | 17% | −3% | −12% | −4% | 4% | Nil | ||||
Salzano, 2020 [55] | 69% decrease | 51% | 23% | 14% | 1% | 0% | 16% | Nil | −9% | −16% | |||||||
Shenoi, 2022 [56] | 53% decrease | 32% | 47% | 16% | 9% | −26% | 13% | ||||||||||
Spallaccia, 2022 [57] | 48% decrease | 27% | 36% | 13% | 13% | ↑ | Nil | ↓ | ↓ | ||||||||
Stanisce, 2021 [58] | 28% decrease | 38% | 34% | 10% | 6% | 19% | −1% | 6% | 1% | ||||||||
Suleiman, 2022 [59] | 82% decrease | ||||||||||||||||
Surendra, 2021 [60] | 900% increase | 68% | 13% | 6% | 2% | 16% | ↓ | ↑ | |||||||||
Tipirneni, 2021 [61] | 27% decrease | 34% | 9% | 48% | 2% | 5% | Nil | −3% | 8% | −8% | −3% | ||||||
Vishal, 2022 [62] | 77% decrease | 11% | 61% | 25% | 1% | −24% | 21% | ||||||||||
Visholm, 2021 [63] | 33% decrease | ||||||||||||||||
Wang, 2020 [64] | 30% decrease | 38% | 8% | 26% | 14% | 6% | 17% | −3% | −12% | −4% | 4% | Nil | |||||
Yang, 2021 [65] | 72% decrease | 89% | 8% | 0% | 39% | −29% | ↓ | ||||||||||
Yeung, 2021 [66] | 64% decrease | 53% | 11% | 24% | 1% | 3% | 0% | 6% | 2% | 1% | −4% | 3% | −3% | ||||
Yoon, 2021 [67] | 32% decrease | 27% | 5% | 5% | 3% | 1% | −8% | 2% | Nil | 1% | |||||||
Zhang, 2021 [68] | 44% decrease | 71% |
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Region | Sub-Region | Country | Number of Publications |
---|---|---|---|
Americas | Northern America | United States of America | 11 |
South America | Brazil | 3 | |
Asia | Eastern Asia | China | 3 |
South Korea | 4 | ||
Southern Asia | India | 7 | |
Pakistan | 1 | ||
Sri Lanka | 1 | ||
Western Asia | Israel | 1 | |
Turkey | 3 | ||
Europe | Northern Europe | Finland | 1 |
Ireland | 1 | ||
United Kingdom | 10 | ||
Southern Europe | Italy | 8 | |
Portugal | 1 | ||
Spain | 1 | ||
Western Europe | France | 1 | |
Germany | 1 | ||
Netherlands | 1 | ||
Oceania | Australia and New Zealand | Australia | 3 |
No. of Papers That Reported on This Outcome | Number of Papers That List as Leading Cause of Trauma Within COVID Cohort (%) | Average Incidence Within COVID Cohort (Range %) | Number of Papers Where Incidence Increased Between Control and COVID Cohort | Average Increase in Incidence (Range %) | Number of Papers Where Incidence Decreased Between Control and COVID Cohort | Average Decrease in Incidence (Range %) | Number of Papers with no Change Between Control and COVID Cohort | |
---|---|---|---|---|---|---|---|---|
Injury Precipitant | ||||||||
Falls | 46 | 35 (66%) | 40% (9–94%) | 33 | 11% (1–39%) | 7 | 9% (1–24%) | 2 |
RTA | 46 | 10 (19%) | 24% (1–79%) | 15 | 6% (1–38%) | 22 | 11% (1–32%) | 5 |
IPV | 48 | 5 (9%) | 21% (3–48%) | 16 | 8% (1–22%) | 23 | 11% (1–23%) | 5 |
DV | 17 | 0 | 4% (1–10%) | 12 | 12% (1–50%) | 3 | 3% (2–4%) | 1 |
Sport | 37 | 1 (2%) | 7% (0–26%) | 6 | 3% (1–9%) | 24 | 9% (1–67%) | 2 |
DA | 8 | 2 (4%) | 17% (3–37%) | 5 | 17% (1–27%) | 2 | 3% (1–4%) | 0 |
Animal | 11 | 0 | 4% (0–6%) | 3 | <1% (1%) | 3 | 2% (1–3%) | 5 |
Self-harm | 7 | 0 | 5% (0–17%) | 3 | 5% (1–11%) | 0 | - | 0 |
Other | ||||||||
DS | 14 | - | - | 13 | 19% (7–52%) | 1 | - | 0 |
D & A use | 13 | - | - | 6 | 9% (3–14%) | 5 | 16% (5–39%) | 2 |
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Hoffman, G.R.; Kelly, S.K.M. COVID-19 Influenced the Epidemiology of Facial Trauma: A Narrative Review, 2020–2024. COVID 2025, 5, 69. https://doi.org/10.3390/covid5050069
Hoffman GR, Kelly SKM. COVID-19 Influenced the Epidemiology of Facial Trauma: A Narrative Review, 2020–2024. COVID. 2025; 5(5):69. https://doi.org/10.3390/covid5050069
Chicago/Turabian StyleHoffman, Gary R., and Sophie K. M. Kelly. 2025. "COVID-19 Influenced the Epidemiology of Facial Trauma: A Narrative Review, 2020–2024" COVID 5, no. 5: 69. https://doi.org/10.3390/covid5050069
APA StyleHoffman, G. R., & Kelly, S. K. M. (2025). COVID-19 Influenced the Epidemiology of Facial Trauma: A Narrative Review, 2020–2024. COVID, 5(5), 69. https://doi.org/10.3390/covid5050069