Literature DB >> 35222871

Aetiology and Epidemiology of Maxillofacial Injuries during the Stay-At-Home Period Due To the COVID-19 Pandemic: a Single Center Study.

Pooja Gangwani1, Haley Harris1, Molly Christie1, Kyle Mecca1, Basir Barmak2, Antonia Kolokythas1.   

Abstract

OBJECTIVES: The aim of this retrospective comparative study was to evaluate the effects of implemented social and public health measures during the COVID-19 pandemic on the incidence and aetiology of maxillofacial injuries.
MATERIAL AND METHODS: A retrospective chart review of all the patients who had sustained maxillofacial injuries and presented to the emergency department of Strong Memorial Hospital between March 20th and June 24th, 2019 and 2020, were included in our study. The total study sample comprised of 335 patients (n = 140 in 2019 group, n = 195 in 2020 group). The primary outcome variables of the study were the number of cases and aetiology of maxillofacial injuries. Statistical analysis consisted of descriptive statistics, Chi-square, and two sample t-tests.
RESULTS: The number of patients in the 2020 group was higher (n = 195) than the number of patients in the 2019 group (n = 140). Comparatively, there was an increase in the maxillofacial injuries during the stay-at-home period by (n = 55 [39.29%]). Although not statistically significant, the aetiology of injuries differed during the stay-at-home period compared to the normal times.
CONCLUSIONS: The number of maxillofacial injuries increased during the period of implemented social and public health measures during the early months of the COVID-19 pandemic. Such knowledge can provide valuable information for the establishment of prevention programs and effective health policies and help in the decision-making process pertaining to resource allocation in a dire situation of the pandemic.
Copyright © Gangwani P, Harris H, Christie M, Mecca K, Barmak B, Kolokythas A. Published in the JOURNAL OF ORAL & MAXILLOFACIAL RESEARCH (http://www.ejomr.org), 31 December 2021.

Entities:  

Keywords:  COVID-19; epidemiology; maxillofacial injuries; pandemics

Year:  2021        PMID: 35222871      PMCID: PMC8807146          DOI: 10.5037/jomr.2021.12404

Source DB:  PubMed          Journal:  J Oral Maxillofac Res        ISSN: 2029-283X


INTRODUCTION

The current pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of more than 5 million people worldwide [1]. The first confirmed case of coronavirus disease 2019 (COVID-19) in the United States was reported in the state of Washington on January 20, 2020 [2]. Since then, the virus has spread across the country. The pandemic arrived in the state of New York in late February 2020, with the first confirmed case on March 1, 2020 [3]. In order to increase the overall hospital beds, preserve and re-allocate personal protective equipment (PPE), all hospitals in the state of New York postponed elective surgeries. Furthermore, to mitigate the spread of COVID-19, the “New York State on PAUSE” executive order was placed by the state government on March 20, 2020 [4]. The executive order entailed employing social distancing measures, maximizing opportunities to work from home, and avoiding local travel. This led to the closure of schools, restrictions on non-essential work, travel, and sport activities, leaving most of the people confined to their homes. Studies have shown that human lifestyles, social behaviour, and environmental factors influence the epidemiology and aetiology of trauma [5,6]. Thus, it is safe to assume that this unprecedented public health emergency may have altered factors that influence the epidemiology of maxillofacial trauma. An epidemiological appraisal is vital to analyse the change in patterns and new trends pertaining to the demographics and aetiology of maxillofacial trauma. Additionally, it can also help in developing effective health policies and establishment of prevention programs to prevent facial trauma and injuries, particularly in the most vulnerable population [5,6]. Several studies have reported the impact of enforcement of “stay at home” orders on maxillofacial injuries [7-10]. The authors have concluded a decrease in the overall number of maxillofacial trauma patients presenting to their medical centers. The majority of those studies were conducted in urban areas. Little is known regarding the impact of social distancing on maxillofacial injuries in suburban regions. Therefore, we propose to perform a comparative retrospective chart analysis of facial trauma patients who presented to the emergency room of Strong Memorial Hospital (SMH), Rochester, New York, during the “stay at home” period from March 20th through June 24th, 2020 to those of normal times of March 20th through June 24th, 2019. The aim of this study is to evaluate the effects of implemented social and public health measures during the COVID-19 pandemic on the incidence and aetiology of maxillofacial injuries. The authors hypothesized that the aetiology of maxillofacial injuries would differ during the COVID-19 pandemic as compared to the normal times. The authors also hypothesized that the incidence of facial trauma would decrease due to stay-at-home order, work from home, and social distancing measures implemented by state governments during the COVID-19 pandemic.

MATERIAL AND METHODS

This study was approved by the University of Rochester’s Research Subjects Review Board (STUDY00005288). A retrospective chart review of all the patients who had sustained maxillofacial trauma and presented to the emergency department of SMH between March 20th and June 24th, 2019 and 2020 were included in our study. SMH is the region’s only level one trauma center. Oral and maxillofacial surgery, plastic and reconstructive surgery, and otolaryngology services manage maxillofacial injuries at SMH. Patients treated by all three services are included in the trauma registry. To identify study patients, we accessed the SMH trauma registry, which includes patients who have at least one of the following injury diagnostic codes defined by the International Classification of Diseases, Tenth Revision (ICD-10-CM): S00-S99 with 7th character modifiers of A, B, or C only (injuries to specific body parts-initial encounter); T07 (unspecified multiple injuries); T14 (injury of unspecified body region); T79.A1-T79.A9 with 7th character modifier of A only (traumatic compartment syndrome-initial encounter). In addition to the above-mentioned criteria, the SMH trauma registry also includes patients who required level 1 activation, level 2 activation, or trauma surgery consult upon arrival to the Emergency Department. The trauma registry was searched manually for all patients who sustained facial injuries (fractures and/or lacerations) in the head and neck region between March 20th and June 24th, 2019 and 2020. Patients with incomplete records were excluded from the study. Patients who presented with a complication of facial fractures and lacerations, as a subsequent encounter were not included in our study sample. Similarly, patients who were seen after already having received treatment either for a second opinion or to establish continued care close to their home, were not admitted into our study. Patients were divided into two groups: normal times - “2019 group” and stay at home “2020 group”. Data were extracted on the following variables: age at the time of injury, gender, race, and aetiology, types of maxillofacial trauma, concomitant injuries, and ethanol test results. Due to several inconsistencies in the recording of the drug toxicology screens upon admission, this variable was not included in our study. Radiology reports and computed tomography maxillofacial scans were used to diagnose and document facial fractures. Clinical records and/or photographs were reviewed to confirm the presence of head and neck lacerations. To document data on concomitant injures, emergency room admission records, trauma history and physical notes, and notes from specialty consultation services such as neurosurgery, orthopaedics were accessed. The primary outcome variables of the study were the number of cases and aetiology of maxillofacial trauma. Information on aetiology was reported under the following groups: assault, all-terrain vehicle (ATV) accident, bicycle accident, child abuse, dog bites, fall, motorcycle accident, motor vehicle collision (MVC), pedestrian struck, sports-related, suicide attempt, and work-related. Demographic variables included age at the time of injury, gender, race. Based on the available information, the race was categorized as Caucasian, African American, Asian, other, and not documented. Other study variables included types of maxillofacial trauma, concomitant injuries (polytrauma), and ethanol test results. Details of maxillofacial trauma were documented under the following categories: skull, frontal sinus, nasal, orbit, zygoma/maxilla, and mandible. Furthermore, a note of the presence of lacerations (scalp, face, neck, intraoral) was made. Data on concomitant injuries were investigated as well. The injuries were classified under the following categories: intracranial haemorrhage, rib fractures, abdominal injuries, orthopaedic fractures. To calculate the mean score, each of the aforementioned categories was given a score of one point. Ethanol test results were reported as positive, negative, and not collected. Statistical analysis The data on the above-mentioned variables were entered in Microsoft Office Excel 2019 program (Microsoft Corporation; Washington, USA) by three resident investigators (HH, MC, and KM) and were verified by the faculty investigator (PG) for accuracy. The data was then imported to Minitab® version 19.2020.1 (Minitab LLC.; State College, Pennsylvania, USA) for data analysis. Descriptive statistics, Chi-square, and two sample t-tests were performed. Statistical significance was defined as P-value < 0.05. Parametric data were expressed as mean and standard deviation (M [SD]).

RESULTS

The study sample comprised of 335 patients who presented to Strong Memorial Hospital for evaluation and management of maxillofacial injuries between March 20th and June 24th, 2019 and 2020. The demographics of the patients treated between March 20th and June 24th, 2019 and 2020 are summarized in Table 1. Of 195 patients in group 2020, 149 were male (76.41%) and 46 were female (23.59%).
Table 1

Demographic characteristics of study population

Variables 2019 group (n = 140) 2020 group (n = 195) P-value


N (%)N (%)
Gender Female 51 (36.43%) 46 (23.59%) 0.011a

Male 89 (63.57%) 149 (76.41%)

Age (years) < 18 16 (11.43%) 20 (10.26%) 0.984

18 - 34.99 39 (27.86%) 57 (29.23%)

35 - 64.99 57 (40.71%) 79 (40.51%)

> 65 28 (20%) 39 (20%)

Race Caucasian 103 (73.57%) 132 (67.69%) 0.394

African American 27 (19.29%) 50 (25.64%)
Miscellaneous
10 (7.13%)
13 (6.67%)
Asian 1 (0.71%) 2 (1.03%)



Not documented 1 (0.71%) 4 (2.05%)



Other 8 (5.71%) 7 (3.59%)

aStatistically significant at level P < 0.05 (Chi-square test).

N = number of patients.

Demographic characteristics of study population aStatistically significant at level P < 0.05 (Chi-square test). N = number of patients. Of 140 patients in the group 2019, 89 were male (63.57%) and 51 were female (36.43%). The mean age of patients in group 2020 and 2019 was 43.74 and 45.22 years, respectively. The two major racial groups involved in the study were Caucasians and African Americans, with 132 (67.69%) Caucasians in 2020 and 103 (73.57%) in 2019, compared to 50 (25.64%) African Americans in 2020 and 27 (19.29%) in 2019. The number of patients in the “group 2020” were higher (n = 195) than the number of patients in the “group 2019” (n = 140). Comparatively, there was an increase in the maxillofacial injuries during the stay-at-home period by 39.29%. The aetiology of maxillofacial injuries between March 20th and June 24th, 2019 and 2020 are summarized in Table 2. The three most common causes of maxillofacial trauma across 2020 and 2019 groups were fall, assault, and motor vehicle collision. Other aetiology included pedestrian struck by a vehicle, motorcycle, bicycle, and ATV accidents, suicide attempts, sports, and work-related trauma, child abuse, and dog bites.
Table 2

Aetiology pertaining to maxillofacial injuries

Variables 2019 group (n = 140) 2020 group (n = 195) P-value


N (%)N (%)
Aetiology of maxillofacial trauma

Assault 30 (21.43%) 45 (23.08%) 0.861a

ATV + bicycle accident 8 (5.72%) 18 (9.23%)

Suicide attempt 5 (3.57%) 10 (5.13%)

Pedestrian struck 8 (5.71%) 10 (5.13%)

Fall 43 (30.71%) 58 (29.74%)

Motorcycle accident 8 (5.71%) 8 (4.1%)

Motor vehicle collision 22 (15.71%) 30 (15.38%)
Miscellaneous
16 (11.43%)
16 (8.21%)
Work related 4 (2.86%) 6 (3.08%)


Sports related 7 (5%) 2 (1.03%)


Child abuse 0 1 (0.51%)


Dog bite 2 (1.43%) 3 (1.54%)


Other 3 (2.14%) 4 (2.05%)

aStatistically significant at level P < 0.05 (Chi-square test).

N = number of patients; ATV = all-terrain vehicle.

Aetiology pertaining to maxillofacial injuries aStatistically significant at level P < 0.05 (Chi-square test). N = number of patients; ATV = all-terrain vehicle. The patterns of maxillofacial trauma cases and associated concomitant injuries between March 20th and June 24th, 2019 and 2020 are summarized in Table 3. The three most common types of facial fractures across 2020 and 2019 groups were nasal, orbit, and maxilla/zygoma. Other types of facial fractures included skull, mandible, and frontal sinus.
Table 3

Characteristics of maxillofacial injuries and polytrauma

Variables 2019 group (n = 131) 2020 group (n = 167) P-value


N N
Injuries

Facial fractures

Nasal 30 40 0.897

Orbit 28 40

Maxilla/zygoma 28 39

Skull 24 27

Mandible 13 15

Frontal 8 6

Facial fractures 4.54 (SD 9.58) 3.82 (SD 7.54) 0.6

Lacerations

Scalp, face, neck, intraoral 1.2 (SD 0.4) 1.06 (SD 0.24) 0.002a
Polytrauma

Intracranial haemorrhage, rib fractures, abdominal injuries, orthopaedic fractures 1.55 (SD 0.72) 1.46 (SD 0.71) 0.386

aStatistically significant at level P < 0.05 (Two sample t-test).

N = number of patients; SD = standard deviation.

Characteristics of maxillofacial injuries and polytrauma aStatistically significant at level P < 0.05 (Two sample t-test). N = number of patients; SD = standard deviation. No statistical difference was noted pertaining to the types of maxillofacial fractures (P-value of 0.897) and the number of facial fractures across 2020 and 2019 groups (3.82 [SD 7.54] and 4.54 [SD 9.58]), respectively, with a P-value of 0.6. A significant number of patients sustained scalp, facial, neck, and intraoral lacerations across both groups. Statistical difference was found with respect to the presence of lacerations using a two-sample t-test across the 2020 and 2019 groups. The mean score of lacerations in group 2020 was lower (1.06 [SD 0.24]) than in group 2019 (1.2 [SD 0.4], P-value 0.002). In relation to concomitant injuries (polytrauma), no statistical difference was noted using a two-sample t-test across the 2020 and 2019 groups. The mean score of polytrauma in group 2020 was 1.46 (SD 0.71) and in group 2019 was 1.55 (SD 0.72), with P-value of 0.386. Of 335 patients, blood alcohol level was measured on 222 patients. As noted in Table 4 more patients presented with a positive alcohol level in the 2020 group compared to the 2019 group (43.18% in 2020 vs. 34.44% in 2019, P-value 0.191). Table 5 reveals the relationship between aetiologies of facial trauma in patients with positive alcohol levels across both groups.
Table 4

Relationship between alcohol and maxillofacial injuries

2019 group (n = 90) 2020 group (n = 132) P-value


N (%)N (%)
Alcohol positive 31 (34.44%) 57 (43.18%) 0.191a

Alcohol negative 59 (65.56%) 75 (56.82%)

aStatistically significant at level P < 0.05 (Chi-square test).

N = number of patients.

Table 5

Relationship between aetiology of facial trauma in patients with positive alcohol level across both groups

Variables 2019 group (n = 31) 2020 group (n = 57) P-value


N (%)N (%)
Aetiology of maxillofacial trauma

Assault 15 (48.39%) 19 (33.33%) 0.378a

ATV + bicycle + motorcycle accident 3 (9.69%) 3 (5.26%)

Fall 6 (19.35%) 16 (28.07%)

Motor vehicle collision 4 (12.9%) 15 (26.32%)

Other Other 3 (9.68%) 0 4 (7.01%) 1 (1.75%)


Pedestrian struck 2 (6.45%) 2 (3.51%)


Suicide attempt 1 (3.23%) 1 (1.75%)

aStatistically significant at level P < 0.05 (Chi-square test).

N = number of patients; ATV = all-terrain vehicle.

Relationship between alcohol and maxillofacial injuries aStatistically significant at level P < 0.05 (Chi-square test). N = number of patients. Relationship between aetiology of facial trauma in patients with positive alcohol level across both groups aStatistically significant at level P < 0.05 (Chi-square test). N = number of patients; ATV = all-terrain vehicle.

DISCUSSION

The effects of maxillofacial trauma are significant. Many patients undergo hospital admission, surgical management, and in some cases rehabilitation, placing an immense burden on the hospital and health care systems. Therefore, understanding the epidemiology of facial trauma is crucial. Data collection on epidemiology aids in establishing health care policies related to the development of preventive measures. This comparative retrospective study aimed to evaluate the effects of implemented social and public health measures during the COVID-19 pandemic on the incidence and aetiology of maxillofacial injuries. Our study found that the number of patients in the 2020 group were higher (n = 195) than the number of patients in the 2019 group (n = 140). Comparatively, there was an increase in the maxillofacial trauma cases during the stay-at-home period by (n = 55 [39.29%]). This was an unexpected finding. Our study findings differ from the results of other studies that have explored the impact of social distancing on maxillofacial trauma. A retrospective cohort study by Ludwig et al. [7] revealed a decreased number of patients presenting with oral and maxillofacial fractures during the period of social distancing (n = 235 in 2020) compared to normal times (n = 330 in 2018; n = 318 in 2019), at their Level I trauma center in Seattle, Washington [7]. Similarly, another retrospective cohort study by Press [8] showed a 35.6% reduction in trauma patients during the lockdown period at Level II trauma center in Nashville, Tennessee [8]. Salzano et al. [9] in their Italian multi-center study reported a reduction of 69.1% in the number of patients requiring the management of facial fractures compared to the previous year. To study the impact of the COVID-19 lockdown on the epidemiology of maxillofacial trauma activity, de Boutray et al. [10] conducted a retrospective multi-center study in France. They noted a reduction in maxillofacial trauma activity by 65.5%. We believe increased consumption of alcohol in the 2020 group contributed to the rise in maxillofacial injuries in our region. A combination of social isolation, financial hardships from the loss of employment, and anxiety due to an uncertain future have led to an increasing trend in alcohol use during the COVID-19 pandemic [11,12]. In our study, more patients presented with a positive alcohol level in the 2020 group compared to the 2019 group (43.18% in 2020 vs. % 34.44% in 2019, P-value 0.19). Within the alcohol-positive group, injuries due to MVC doubled in 2020 compared to 2019 (26.32% in 2020 vs. 12.90% in 2019). More patients presented secondary to fall in 2020 compared to 2019 (28.07% in 2020 vs. 19.35% in 2019). Studies have documented adverse public health effects of economic crises and rises in unemployment [13]. Furthermore, there is a direct correlation between social isolation and loneliness, and mental health disorders including anxiety and depression, leading to suicide attempts [14,15]. Therefore, it was anticipated that number of interpersonal assaults, and suicide attempts would increase during the COVID-19 pandemic. Although not statistically significant, our study noted a slight increase in interpersonal assault (n = 45 [23.08%]) and suicide attempt (n = 10 [5.13%]) in the 2020 group compared to the 2019 group (assault: n = 30 [21.43%] and suicide: n = 5 [3.57%]). Under the category of assault, we closely looked at the data of gun shot and stab wounds. A slight increase was observed in the 2020 group concerning gun shots (n = 7) and stab wounds (n = 16) relative to 2019 group (gun shots: n = 3 and stab wounds: n = 10). In the study by Ludwig et al. [7], the authors noted a statistical increase in facial injuries from assault in the 2020 (21% in 2020) group compared to the 18% in 2018 and 15% in 2019 groups. They also recorded more cases of gun violence in the 2020 group (7%) as compared to 2018 (3%) and 2019 (3%) groups. Olding et al. [16] performed a study in South London, U.K., on penetrating trauma during COVID-19. They concluded that while their overall trauma cases decreased by 35% compared to the previous year, there was a significant increase in injuries related to self-harm [16]. A comparative, retrospective study conducted by Vishal et al. [17] in India documented a 50% increase in trauma cases due to assault compared to the previous year. Given the public’s adherence to stay-at-home order, work from home, and COVID-19 restrictions, it was assumed that number of MVCs, ATVs, and motorcycle accidents would decrease in our region. Several studies have reported a marked reduction in road traffic collisions. [10,17,18]. However, this was not observed in our study. One of the probable explanations for this unusual finding could be tied to the positivity rate in our region (Finger Lakes Region). At the time of “New York State on PAUSE”, New York City was the epicenter of COVID-19 in the state of New York, with its positivity rate being 57.4%, 8.5%, and 1.3% in the months of April, May, June 2020, respectively [19]. The positivity rate of COVID-19 in our region in the months of April (13.3%), May (4.3%), and June (0.8%) was lower than the rest of the state of New York (April: 48.1%, May: 5.9%, and June 1.1%) [19]. We believe that the lower positivity rate in combination with pandemic fatigue and improved weather conditions in upstate NY led to an almost similar number of MVCs in 2020 compared with 2019. An interesting finding of our study is the change in the number of bicycle accidents and sports-related injuries. In 2020, the number of bicycle and ATV accidents (n = 18 [9.23%]) increased, and sports-related injuries decreased (n = 2 [1.03%]) in comparison with 2019 (bicycle + ATV: n = 8 [5.72%]; sports: n = 7 [5%]). This finding was contrary to the results by Chiba et al. [20], who reported their bicycle injury admissions reduced by 28.4% at a large urban trauma center in California. Our trauma center is located in a suburban region, where the population density is lower than in urban areas. While avoiding group sports, riding outside to keep up with exercise and fitness was perceived safe by many people and may potentially explain the observed finding. The major strength of our study is that all patients who presented to SMH with maxillofacial injuries were included regardless of the surgical service involved in the patient’s care. The trauma registry at SMH is robust and very detailed; thus, we are confident that the data is accurate and inclusive. The major limitation of this study is its retrospective nature. Also, the study was performed at a single center of a suburban region in the state of New York. It is unclear whether geographical location and weather conditions were the confounding factors in understanding the impact of social distancing on the aetiology of maxillofacial trauma. Nationwide studies at urban, suburban, and rural trauma centers are required to draw generalizable results pertaining to the impact of social distancing on maxillofacial trauma. Furthermore, the study was conducted over a short period of time. A study covering the entire duration of the pandemic may provide a better insight into the epidemiology of facial trauma. A year-long study will permit comparison between the two cohorts (pre-pandemic versus post-pandemic) in a geographic location with respect to seasonal variation. Despite the limitations to this study, it is still valuable to understand the complex interplay of social distancing, geographical location, number of COVID-19 cases in the region of interest, social behaviour, environmental factors, and its impact on maxillofacial injuries. Recognizing that in certain areas of the state or nation, there is no direct co-relation between social distancing and decrease in trauma cases presenting to the emergency room is crucial. Several factors play a role in social behaviour adapted by people, which could either increase or decrease the incidence of trauma, and more importantly, change the patterns of aetiology. All of this information is necessary to make decisions related to the allocation of health care resources. Additionally, it can also help develop effective health policies, and establish prevention programs to prevent facial trauma and injuries, particularly in the most vulnerable population.

CONCLUSIONS

The incidence of maxillofacial injuries in our region increased during the stay-at-home period. Although not statistically significant, the aetiology of injuries differed during the stay-at-home period compared to the normal times. Analysing the effects of social distancing, health, and financial burdens on the epidemiology of maxillofacial trauma is essential. Such knowledge can provide valuable information for the establishment of prevention programs and effective health policies and help in decision-making process pertaining to resource allocation in a dire situation of the pandemic.
  16 in total

1.  The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis.

Authors:  David Stuckler; Sanjay Basu; Marc Suhrcke; Adam Coutts; Martin McKee
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Review 2.  Factors influencing the incidence of maxillofacial fractures.

Authors:  Bruno Ramos Chrcanovic
Journal:  Oral Maxillofac Surg       Date:  2011-06-09

3.  The epidemiological analysis of maxillofacial fractures in Italy: The experience of a single tertiary center with 1720 patients.

Authors:  Paola Bonavolontà; Giovanni Dell'aversana Orabona; Vincenzo Abbate; Luigi Angelo Vaira; Carmelo Lo Faro; Marzia Petrocelli; Federica Attanasi; Giacomo De Riu; Giorgio Iaconetta; Luigi Califano
Journal:  J Craniomaxillofac Surg       Date:  2017-05-17       Impact factor: 2.078

4.  Penetrating trauma during a global pandemic: Changing patterns in interpersonal violence, self-harm and domestic violence in the Covid-19 outbreak.

Authors:  James Olding; Sophia Zisman; Carole Olding; Kathleen Fan
Journal:  Surgeon       Date:  2020-07-30       Impact factor: 2.392

5.  First Case of 2019 Novel Coronavirus in the United States.

Authors:  Michelle L Holshue; Chas DeBolt; Scott Lindquist; Kathy H Lofy; John Wiesman; Hollianne Bruce; Christopher Spitters; Keith Ericson; Sara Wilkerson; Ahmet Tural; George Diaz; Amanda Cohn; LeAnne Fox; Anita Patel; Susan I Gerber; Lindsay Kim; Suxiang Tong; Xiaoyan Lu; Steve Lindstrom; Mark A Pallansch; William C Weldon; Holly M Biggs; Timothy M Uyeki; Satish K Pillai
Journal:  N Engl J Med       Date:  2020-01-31       Impact factor: 91.245

6.  Alcohol Consumption Reported during the COVID-19 Pandemic: The Initial Stage.

Authors:  Jan Chodkiewicz; Monika Talarowska; Joanna Miniszewska; Natalia Nawrocka; Przemyslaw Bilinski
Journal:  Int J Environ Res Public Health       Date:  2020-06-29       Impact factor: 3.390

7.  What is the Impact of the 2020 Coronavirus Lockdown on Maxillofacial Trauma?

Authors:  Steven G Press
Journal:  J Oral Maxillofac Surg       Date:  2021-01-22       Impact factor: 1.895

8.  What Is the Effect of COVID-19-Related Social Distancing on Oral and Maxillofacial Trauma?

Authors:  David C Ludwig; J Luke Nelson; Andrea B Burke; Melanie S Lang; Jasjit K Dillon
Journal:  J Oral Maxillofac Surg       Date:  2020-12-14       Impact factor: 1.895

Review 9.  The correlation between stress and economic crisis: a systematic review.

Authors:  Nicola Mucci; Gabriele Giorgi; Mattia Roncaioli; Javier Fiz Perez; Giulio Arcangeli
Journal:  Neuropsychiatr Dis Treat       Date:  2016-04-21       Impact factor: 2.570

10.  Epidemiology of trauma presentations to a major trauma centre in the North West of England during the COVID-19 level 4 lockdown.

Authors:  Kunal Rajput; Ajay Sud; Michael Rees; Olga Rutka
Journal:  Eur J Trauma Emerg Surg       Date:  2020-09-30       Impact factor: 3.693

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