Next Article in Journal
Do Patient-Reported Quality-of-Life (QoL) Scales Provide an Adequate Assessment of Patients with Cryptoglandular Anal Fistulae? A Systematic Review of Measurement Instruments and Their Content Validity
Next Article in Special Issue
Multiple Adenocarcinomas of the Small Bowel in a Patient with Brunner’s Glands Agenesia: A Previously Unreported Association
Previous Article in Journal
Effects of an Intensive 6-Week Rehabilitation Program with the HUBER Platform in the Treatment of Non-Specific Chronic Low Back Pain: A Pilot Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Blepharoconjunctivitis and Otolaryngological Disease Trends in the Context of Mask Wearing during the COVID-19 Pandemic

by
Victoria A. Koshevarova
1,
Zack K. Westenhaver
1,
Mary Schmitz-Brown
2,
Brian J. McKinnon
3,
Kevin H. Merkley
2 and
Praveena K. Gupta
2,*
1
School of Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA
2
Department of Ophthalmology, University of Texas Medical Branch, Galveston, TX 77555, USA
3
Department of Otolaryngology, University of Texas Medical Branch, Galveston, TX 77555, USA
*
Author to whom correspondence should be addressed.
Clin. Pract. 2022, 12(4), 619-627; https://doi.org/10.3390/clinpract12040065
Submission received: 5 July 2022 / Revised: 26 July 2022 / Accepted: 29 July 2022 / Published: 11 August 2022
(This article belongs to the Special Issue 2022 Feature Papers in Clinics and Practice)

Abstract

:
(1) Purpose: In 2020, wearing of face masks was mandated in the United States in an effort to lessen transmission of the novel 2019 coronavirus disease (COVID-19) pandemic; however, long-term mask wearing may present with unintended side-effects in both ophthalmic and otolaryngologic clinical practice. This study aims to examine if mask wearing increased the incidence of primarily chalazion, blepharoconjunctivitis, and rhinitis occurrence during the mask-mandated COVID-19 pandemic period. (2) Methods: Medical records from tertiary academic center clinics were analyzed for incidence of ophthalmic and otolaryngologic diagnoses of interest (blepharoconjunctivitis- and rhinitis-related disorders). Data were collected from a pre-pandemic (March 2019–February 2020) and a mid-pandemic window (March 2020–February 2021) during which widespread mask mandates were implemented in Texas. Comparison was performed using a t-test analysis between incidence of chosen diagnoses during the described time periods. (3) Results: Incidence of ophthalmic disorders (primarily blepharoconjunctivitis and chalazion) in the pre-pandemic versus mid-pandemic windows did show a significant difference (p-value of 0.048). Similarly, comparison of otolaryngologic diagnoses (primarily rhinitis and related conditions) between the two time periods showed a significant difference (p-value of 0.044) as well. (4) Conclusion: Incidence of the chosen ophthalmic and otolaryngologic disorders did increase during periods of mask mandates. While these findings are preliminary, further studies are warranted to understand other factors that may have played a role in eye and nose pathology.

1. Introduction

In early to mid-2020, mask wearing was mandated throughout the United States in an effort to curb the spread of the novel 2019 coronavirus disease (COVID-19) brought on by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). On 3 April 2020, the Centers for Disease Control (CDC) officially recommended the wearing of face masks in public to lessen transmission, and in July 2020, wearing masks in public areas was mandated in the state of Texas [1]. Since then, attention has been drawn to the possibility that prolonged mask wearing may have an influence on ophthalmologic and otolaryngologic health. Three primary varieties of face masks were recommended for use by the CDC and the World Health Organization (WHO). These include cotton, surgical, and N-95 masks, all of which have shown efficacy in reducing transmission of COVID-19 via respiratory droplets [2]. A study on nasal irritation showed that the use of a filtering face piece could be associated with a new form of irritant rhinitis [3]. Conversely, there are reports that symptoms and incidence of allergic rhinitis seem to have decreased during the past year attributed to staying inside and wearing a mask [4,5]. Furthermore, studies of interest within the past year have shown that symptoms such as dry eye and chalazion have increased in incidence within clinics compared to before COVID-19, likely due to multifactorial causes [6,7,8,9]. Such causes are suspected to include mask wearing with consequential increased fomite transmission due to hand-to-face contact as well as changes in periorbital microenvironment due to redirected breathing from the mask. Increased screen time due to stay-at-home measures and sequelae of COVID-19 itself have also been noted to be probable causes to the increased incidence of these ophthalmic symptoms [6,7,8,9]. The purpose of this study is to retrospectively review patient charts to analyze whether wearing masks increases the risk of developing dry eyes, blepharitis, allergic conjunctivitis, chalazion, and hordeolum, allergic rhinitis, vasomotor rhinitis, chronic rhinitis, nasal irritation, and otalgia amongst patients at the University of Texas Medical Branch (UTMB) Eye and Ear, Nose, and Throat (ENT) clinics.

2. Materials and Methods

The study was approved by the institutional review board at the University of Texas Medical Branch and was conducted in accordance with the tenets of the Helsinki Declaration. Deidentified data was collected from academic institution clinics (UTMB Eye and Ears, Nose, and Throat [ENT] clinics, Galveston, TX, USA) in the form of a retrospective chart review. Medical records were analyzed for incidence of the diagnoses of interest (Table 1) for both a pre-pandemic window (March 2019–February 2020) and a mid-pandemic window (March 2020–February 2021) during which widespread mask mandates were implemented in Texas and UTMB clinics. Subjects were included based on age (18–100 years), presence of diagnosis (Table 1), and date seen in clinic. Patients who fell outside the specified age range, did not meet chosen diagnostic criteria or the diagnosis was not clearly documented, fell outside the study time windows, or presented with symptoms of interest but were associated with a comorbidity (e.g., Sjogren’s syndrome, post-operative follow-up, etc.) were excluded. Finally, data regarding COVID-19 trends was requested from the Galveston County Health District (GCHD) to evaluate for correlations with the incidence of the chosen diagnoses. Within figures, ophthalmic diagnoses (Table 1) of interest will henceforth be referred to as “chalazion and other disorders”, and ENT diagnoses (Table 1) will be termed “rhinitis and other disorders”.

3. Results

3.1. Ophthalmology Results

The total month-by-month cases and incidence from the pre-pandemic period (March 2019–February 2020) are compared to the chosen mid-pandemic period (March 2020–February 2021) in Figure 1. Red arrows indicating university clinic lockdowns and the beginning of the Texas mask mandate are also included for further data contextualization. The mid-pandemic year had fewer total cases (n = 195) compared to the pre-pandemic year (n = 243); hence, using incidence normalized as a percentage of total cases provides better insight as to the actual disease fluctuations. With the resolution of campus and clinic lockdown, the chalazion and other disorder incidence from the mid-pandemic period started to slowly increase between May and July, with spikes also noted in September and December 2021 (Figure 1). As the percentage of mask adherence increased (upward trend from November 2020 to February 2021 in Figure 2), the mid-pandemic cumulative incidence for chalazion and other disorders increased as well, and as the percentage of mask adherence decreased (downward trend from September–November 2020), the cumulative incidence for chalazion and other disorders decreased. A comparison of incidence using t-test analysis between the described time periods, assuming unequal variances, resulted in a p-value of 0.048. It should be noted that March was excluded from the analysis as the mask recommendations had not yet been implemented in Texas, and April was excluded due to statewide stay at home orders.

Otolaryngology Results

The total month-by-month cases for allergic rhinitis and related disorders from the pre-pandemic period (March 2019–February 2020) is compared to the chosen mid-pandemic period (March 2020–February 2021) in Figure 3. Overall, the number of cases during the mid-pandemic period (n = 1501) was lower than that of the pre-pandemic window (n = 2785), and so using the incidence as a percentage of total cases provides better insight as to the actual disease fluctuation in this case as well. In Figure 4, cumulative incidence during the two periods is plotted against percentage of mask adherence beginning in July 2020. In the initial weeks after the lockdown period (arrow with one asterisk), Texas activity was slow as businesses reopened, and disease incidence appears to be higher in the 2019–2020 period. Between May and July, the number of cases increased from 50 to 153 at university clinics. Incidence in the mid-pandemic period continues to increase and eventually surpasses the pre-pandemic window around July 2020. When the two time periods are compared using t-test analysis assuming unequal variances, the cumulative incidence of otolaryngological disorders from 2019–2020 has a statistically significant difference from that of 2020–2021 with p-value of 0.044. Note that, like the ophthalmic statistical analysis described in Section 3.1 of the results, March and April were excluded from the comparison.

3.2. Galveston County Health District COVID-19 Data

Data from the Galveston County Health District regarding COVID-19 was obtained with permission and is shown in Figure 5 [10]. Peak total positive cases were seen in around July 2020, December 2020, and August 2021.

4. Discussion

The purpose of this study is to evaluate the incidence of ophthalmic and otolaryngologic diseases between a time period where masks were mandated in the state of Texas (March 2020–February 2021) and a control year (e.g., prior to the COVID-19 pandemic March 2019–February 2020). Based on the results, an increase in incidence was observed between ophthalmic and otolaryngologic diagnoses of interest in the 2020–2021 group versus the 2019–2020 group. Statistical analysis found significant differences in both groups (p < 0.05). Mask hygiene and mask fit are major components of mask efficacy [11]. Convenience coupled with the rising costs of masks may have led individuals to frequently re-use or recycle masks. Among non-health care professionals, mask quality and material varied. Cloth masks, while of moderate efficacy in preventing respiratory illness, are more cost effective as patients can recycle them but potentially compromise hygiene [3,11,12]. Without proper cleaning and overall hygiene regarding mask care, masks could cause nasal and eye irritation and consequently, related pathologies. This is one of the possible explanations for the trends noted in this study with respect to mask wearing. The ophthalmic results should be interpreted with some additional considerations. Although a significant trend relating masks and blepharoconjunctivitis-related disorders was noted within the patients, the smaller population size (n = 243 for the 2019–2020 group and n = 195 for the 2020–2021 group) may weaken the significance of the results. Other explanations have been cited as reasons for the increased incidence of these disorders during the pandemic. For instance, one proposition is that eye symptoms may be sequelae of COVID-19 (there is little data to support a similar proposition for rhinitis), which is why it was important to observe COVID-19 case trends alongside the chosen disease incidence [10,13]. As such, peaks in ocular cases showed some relationship (with a one to two month lag) with peaks in COVID-19 as shown in Figure 5. Eye symptoms may also be attributed to eye strain from extended time looking at a computer, especially due to the rise in work-from-home during the pandemic [9]. There are some considerations for the ENT disease incidence as well. The first is that air pollution and allergies were not included in the statistical analysis. Decrease in outdoor activities may have lowered the incidence of allergic rhinitis which would affect the 2020–2021 time-frame, especially during lockdown. However, despite the potential decrease in exposure to air pollution and allergies as people remained indoors during the quarantine, a relative increase in allergic rhinitis incidence was described by this study. Data gathered in this study is limited to Galveston and the surrounding area population, specifically those seen within the academic clinics. This can make it difficult to generalize the relationships observed in the study. Similarly, the data in this study may not represent that of Texas or United States. Mask adherence guidelines and the overall attitude towards masks was relaxed in 2021, likely due to multiple causes including social influence, politicization, and a reduced perceived threat of COVID-19 [14,15,16]. Because of this, the time period chosen to exhibit high mask adherence may not have been consistently representative. In addition to survey bias and regional biases towards masks, adherence may not be completely accurate and may be better viewed as a trend. The duration with which patients wear masks and choice of mask material are also difficult to predict and control for. This study did not concretely differentiate whether disease cases were new onset versus exacerbations of chronic processes, though some attempt at controlling for baseline trends was attempted via comparison to a “control” year. Lastly, as described in the ophthalmic discussion, eye and ENT disease in relation to COVID-19 trends was not closely analysed. Though Galveston county trends (Figure 5) were collected, quarantine precautions restricted in-person visits to patients who presented as COVID-19 negative, meaning eye and ENT diseases in COVID-19 positive patients may have gone undetected. This suggests that even with accurate COVID-19 trends, disease trend comparison may be unrepresentative, and more in-depth analysis would be outside the scope of this study.

5. Conclusions

This study addressed two important areas of consequence of mask wearing: eye and nose pathologies. However, because this study’s observations are based on one hospital-based analysis within a unique political and environmental context, clinicians should be careful in correlating similar findings at other clinics. It should also be noted that despite the trends gathered in this study, the benefits of wearing masks generally outweigh the risks in the context of COVID-19 spread, as evidenced by recent studies exemplifying the reduction of COVID-19 incidence (and other respiratory infection incidence) in populations of high mask adherence compared to those with low mask adherence [17,18,19]. Contradictory studies have noted multiple adverse effects amongst long-term mask wearers (with relevant ENT diseases including rhinitis and vocal cord disorders and other diseases falling under neurological, internal, dermatological, and psychiatric categories), which calls to attention the provider’s duty to weigh the overall risks and benefits of mask wearing to their patient in an unbiased and ethical way [20,21,22]. Nevertheless, like other similar studies on this topic [6,7], we recommend that instead of discouraging patients from wearing masks to reduce ocular or otolaryngological symptoms, providers should focus on educating patients on proper mask fit and hygiene. Future studies should investigate patients with history of eye and nose pathologies to highlight whether such findings are patient behavior linked (i.e., hygiene and mask wearing technique) or solely dependent on the presence of mask wearing. It is evident that more research about the long-term effects of masks is desirable to provide stronger guidelines on this topic.

Author Contributions

Conceptualization, P.K.G. and M.S.-B.; methodology, P.K.G. and M.S.-B.; validation, P.K.G., V.A.K., Z.K.W., B.J.M. and K.H.M.; investigation, V.A.K. and Z.K.W.; data curation, M.S.-B.; writing—original draft preparation, V.A.K. and Z.K.W.; writing—review and editing, V.A.K. and Z.K.W.; supervision, P.K.G. and B.J.M.; project administration, P.K.G. and M.S.-B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data regarding COVID-19 cases in Galveston county, Texas, may be found at the following link: https://www.gchd.org/public-health-services/covid-19/covid-19-dashboard; https://www.gchd.org/public-health-services/covid-19/covid-19-dashboard (accessed on 2 November 2021).

Acknowledgments

Authors would like to thank Biai Dominique Elmir Digbeu, MPH, for helping with the biostatistics for data analysis.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
COVID-192019 coronavirus disease
SARS-COV-2Severe acute respiratory syndrome coronavirus 2
CDCCenter for Disease Control
WHOWorld Health Organization
UTMBUniversity of Texas Medical Branch
ENTEars, nose, and throat
GCHDGalveston County Health District
MDPIMultidisciplinary Digital Publishing Institute
DOAJDirectory of open access journals
TLAThree letter acronym
LDLinear dichroism

References

  1. Office of Texas Government. Available online: https://gov.texas.gov/news/post/governor-abbott-establishes-statewide-face-covering-requirement-issues-proclamation-to-limit-gatherings (accessed on 4 April 2022).
  2. Ueki, H.; Furusawa, Y.; Iwatsuki-Horimoto, K.; Imai, M.; Kabata, H.; Nishimura, H.; Kawaoka, Y. Effectiveness of Face Masks in Preventing Airborne Transmission of SARS-CoV-2. mSphere 2020, 5, e00637-20. [Google Scholar] [CrossRef]
  3. Klimek, L.; Huppertz, T.; Alali, A.; Spielhaupter, M.; Hörmann, K.; Matthias, C.; Hagemann, J. A new form of irritant rhinitis to filtering facepiece particle (FFP) masks (FFP2/N95/KN95 respirators) during COVID-19 pandemic. World Allergy Organ J. 2020, 13, 100474. [Google Scholar] [CrossRef]
  4. Dror, A.A.; Eisenbach, N.; Marshak, T.; Layous, E.; Zigron, A.; Shivatzki, S.; Morozov, N.G.; Taiber, S.; Alon, E.E.; Ronen, O.; et al. Reduction of allergic rhinitis symptoms with face mask usage during the COVID-19 pandemic. J. Allergy Clin. Immunol. Pract. 2020, 8, 3590–3593. [Google Scholar] [CrossRef] [PubMed]
  5. Dayal, A.K.; Sinha, V. Trend of Allergic Rhinitis Post COVID-19 Pandemic: A Retrospective Observational Study. Indian J. Otolaryngol. Head Neck Surg. 2020, 20, 1–3. [Google Scholar] [CrossRef] [PubMed]
  6. Silkiss, R.Z.; Paap, M.K.; Ugradar, S. Increased incidence of chalazion associated with face mask wear during the COVID-19 pandemic. Am. J. Ophthalmol. Case Rep. 2021, 22, 101032. [Google Scholar] [CrossRef]
  7. Moshirfar, M.; West, W.B., Jr.; Marx, D.P. Face Mask-Associated Ocular Irritation and Dryness. Ophthalmol. Ther. 2020, 9, 397–400. [Google Scholar] [CrossRef] [PubMed]
  8. Mégarbane, B.; Tadayoni, R. Cluster of chalazia in nurses using eye protection while caring for critically ill patients with COVID-19 in intensive care. Occup. Environ. Med. 2020, 77, 584–585. [Google Scholar] [CrossRef] [PubMed]
  9. Giannaccare, G.; Vaccaro, S.; Mancini, A.; Scorcia, V. Dry eye in the COVID-19 era: How the measures for controlling pandemic might harm ocular surface. Graefes Arch. Clin. Exp. Ophthalmol. 2020, 258, 2567–2568. [Google Scholar] [CrossRef] [PubMed]
  10. Galveston County COVID-19 Cases. Available online: https://www.gchd.org/public-health-services/covid-19/covid-19-dashboard (accessed on 2 November 2021).
  11. Darby, S.; Chulliyallipalil, K.; Przyjalgowski, M.; McGowan, P.; Jeffers, S.; Giltinan, A.; Lewis, L.; Smith, N.; Sleator, R.D. COVID-19: Mask efficacy is dependent on both fabric and fit. Future Microbiol. 2021, 16, 5–11. [Google Scholar] [CrossRef] [PubMed]
  12. Lima, M.M.S.; Cavalcante, F.M.L.; Macêdo, T.S.; Galindo Neto, N.M.; Caetano, J.Á.; Barros, L.M. Cloth face masks to prevent Covid-19 and other respiratory infections. Rev. Lat. Am. Enferm. 2020, 28, e3353. [Google Scholar] [CrossRef] [PubMed]
  13. Hong, N.; Yu, W.; Xia, J.; Shen, Y.; Yap, M.; Han, W. Evaluation of ocular symptoms and tropism of SARS-CoV-2 in patients confirmed with COVID-19. Acta Ophthalmol. 2020, 10, 1111. [Google Scholar] [CrossRef] [PubMed]
  14. Kasting, M.L.; Head, K.J.; Hartsock, J.A.; Sturm, L.; Zimet, G.D. Public perceptions of the effectiveness of recommended non-pharmaceutical intervention behaviors to mitigate the spread of SARS-CoV-2. PLoS ONE 2020, 15, e0241662. [Google Scholar] [CrossRef]
  15. Teasdale, E.; Santer, M.; Geraghty, A.W.; Little, P.; Yardley, L. Public perceptions of non pharmaceutical interventions for reducing transmission of respiratory infection: Systematic review and synthesis of qualitative studies. BMC Public Health 2014, 14, 589. [Google Scholar] [CrossRef]
  16. Al-Hasan, A.; Yim, D.; Khuntia, J. Citizens’ Adherence to COVID-19 Mitigation Recommendations by the Government: A 3-Country Comparative Evaluation Using Web-Based Cross-Sectional Survey Data. J. Med. Internet Res. 2020, 22, e20634. [Google Scholar] [CrossRef] [PubMed]
  17. Fischer, C.B.; Adrien, N.; Silguero, J.J.; Hopper, J.J.; Chowdhury, A.I.; Werler, M.M. Mask adherence and rate of COVID-19 across the United States. PLoS ONE 2021, 16, e0249891. [Google Scholar] [CrossRef] [PubMed]
  18. Prather, K.A.; Wang, C.C.; Schooley, R.T. Reducing transmission of SARS-CoV-2. Science 2020, 368, 1422–1424. [Google Scholar] [CrossRef]
  19. Chiu, N.C.; Chi, H.; Tai, Y.L.; Peng, C.C.; Tseng, C.Y.; Chen, C.C.; Tan, B.F.; Lin, C.Y. Impact of Wearing Masks, Hand Hygiene, and Social Distancing on Influenza, Enterovirus, and All-Cause Pneumonia During the Coronavirus Pandemic: Retrospective National Epidemiological Surveillance Study. J. Med. Internet Res. 2020, 22, e21257. [Google Scholar] [CrossRef] [PubMed]
  20. Rosner, E. Adverse Effects of Prolonged Mask Use among Healthcare Professionals during COVID-19. J. Infect. Dis. Epidemiol. 2020, 6, 130. [Google Scholar] [CrossRef]
  21. Kisielinski, K.; Giboni, P.; Prescher, A.; Klosterhalfen, B.; Graessel, D.; Funken, S.; Kempski, O.; Hirsch, O. Is a Mask That Covers the Mouth and Nose Free from Undesirable Side Effects in Everyday Use and Free of Potential Hazards? Int. J. Environ. Res. Public Health 2021, 18, 4344. [Google Scholar] [CrossRef] [PubMed]
  22. Gomułka, K.; Panaszek, B. Contact urticaria syndrome caused by haptens. Postepy Dermatol. Alergol. 2014, 31, 108–112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Total chalazion and other disorders cases including university lockdown and state mask mandate labels. Figure 1 shows the pre-pandemic versus mid-pandemic total cases per month (A) as well as the incidence (B). * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which Texas mask mandate was effective (July 2019–onward).
Figure 1. Total chalazion and other disorders cases including university lockdown and state mask mandate labels. Figure 1 shows the pre-pandemic versus mid-pandemic total cases per month (A) as well as the incidence (B). * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which Texas mask mandate was effective (July 2019–onward).
Clinpract 12 00065 g001
Figure 2. Cumulative chalazion and other disorder incidence with Texas mask adherence. During the UTMB lockdown period in early 2020 (arrow with one asterisk), the cumulative incidence from the 2019–2020 period was greater compared to the one from the 2020–2021 period. With the reopening of the academic center, the cumulative incidence from the 2020–2021 period started to slowly increase. Then from August 2020 to February 2021, during the state of Texas mask mandatory law (arrow with two asterisks), it started to drastically increase until overriding the 2019–2020 curve. As the percentage of mask adherence increases, the 2020–2021 cumulative incidence in the following month for chalazion and other disorders appeared to increase. * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which the Texas mask mandate was effective (July 2019–onward).
Figure 2. Cumulative chalazion and other disorder incidence with Texas mask adherence. During the UTMB lockdown period in early 2020 (arrow with one asterisk), the cumulative incidence from the 2019–2020 period was greater compared to the one from the 2020–2021 period. With the reopening of the academic center, the cumulative incidence from the 2020–2021 period started to slowly increase. Then from August 2020 to February 2021, during the state of Texas mask mandatory law (arrow with two asterisks), it started to drastically increase until overriding the 2019–2020 curve. As the percentage of mask adherence increases, the 2020–2021 cumulative incidence in the following month for chalazion and other disorders appeared to increase. * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which the Texas mask mandate was effective (July 2019–onward).
Clinpract 12 00065 g002
Figure 3. Total rhinitis and other otolaryngological disease cases including university lockdown and state mask mandate. This figure shows the pre-pandemic versus mid-pandemic total cases per month (A) as well as the incidence (B). * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which Texas mask mandate was effective (July 2019–onward).
Figure 3. Total rhinitis and other otolaryngological disease cases including university lockdown and state mask mandate. This figure shows the pre-pandemic versus mid-pandemic total cases per month (A) as well as the incidence (B). * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which Texas mask mandate was effective (July 2019–onward).
Clinpract 12 00065 g003
Figure 4. Cumulative rhinitis and other disorder incidence with Texas mask adherence. During the UTMB lockdown period in early 2020, the cumulative incidence from the 2019–2020 period was greater compared to the one from the 2020–2021 period. With the reopening of UTMB, the cumulative incidence from the 2020–2021 period started to slowly increase between May and October. Then from October 2020 to February 2021, during the state of Texas mask mandatory law, it started to drastically increase until overriding the 2019–2020 curve. As the percentage of mask adherence increases, the 2020–2021 cumulative incidence for rhinitis and other disorders appeared to increase. * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which the Texas mask mandate was effective (July 2019–onward).
Figure 4. Cumulative rhinitis and other disorder incidence with Texas mask adherence. During the UTMB lockdown period in early 2020, the cumulative incidence from the 2019–2020 period was greater compared to the one from the 2020–2021 period. With the reopening of UTMB, the cumulative incidence from the 2020–2021 period started to slowly increase between May and October. Then from October 2020 to February 2021, during the state of Texas mask mandatory law, it started to drastically increase until overriding the 2019–2020 curve. As the percentage of mask adherence increases, the 2020–2021 cumulative incidence for rhinitis and other disorders appeared to increase. * Months during which the academic center was under lockdown (March 2019–early May 2019). ** Months during which the Texas mask mandate was effective (July 2019–onward).
Clinpract 12 00065 g004
Figure 5. (Galveston County COVID-19 Weekly Positive Case Trends.) Overall COVID-19 cases in Galveston County from about March 2020 through November 2021.
Figure 5. (Galveston County COVID-19 Weekly Positive Case Trends.) Overall COVID-19 cases in Galveston County from about March 2020 through November 2021.
Clinpract 12 00065 g005
Table 1. List of ICD-10 codes analyzed.
Table 1. List of ICD-10 codes analyzed.
Parent ICD-10 CodeDiagnosis
H00.0Hordeolum
H00.1Chalazion
H01.0Blepharitis
H04.12Dry Eye
H10Conjunctivitis
H92.09Otalgia
J30.0Vasomotor Rhinitis
J30.9Allergic Rhinitis
J31.0Chronic Rhinitis
J34 NasalIrritation/Mucositis
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Koshevarova, V.A.; Westenhaver, Z.K.; Schmitz-Brown, M.; McKinnon, B.J.; Merkley, K.H.; Gupta, P.K. Blepharoconjunctivitis and Otolaryngological Disease Trends in the Context of Mask Wearing during the COVID-19 Pandemic. Clin. Pract. 2022, 12, 619-627. https://doi.org/10.3390/clinpract12040065

AMA Style

Koshevarova VA, Westenhaver ZK, Schmitz-Brown M, McKinnon BJ, Merkley KH, Gupta PK. Blepharoconjunctivitis and Otolaryngological Disease Trends in the Context of Mask Wearing during the COVID-19 Pandemic. Clinics and Practice. 2022; 12(4):619-627. https://doi.org/10.3390/clinpract12040065

Chicago/Turabian Style

Koshevarova, Victoria A., Zack K. Westenhaver, Mary Schmitz-Brown, Brian J. McKinnon, Kevin H. Merkley, and Praveena K. Gupta. 2022. "Blepharoconjunctivitis and Otolaryngological Disease Trends in the Context of Mask Wearing during the COVID-19 Pandemic" Clinics and Practice 12, no. 4: 619-627. https://doi.org/10.3390/clinpract12040065

APA Style

Koshevarova, V. A., Westenhaver, Z. K., Schmitz-Brown, M., McKinnon, B. J., Merkley, K. H., & Gupta, P. K. (2022). Blepharoconjunctivitis and Otolaryngological Disease Trends in the Context of Mask Wearing during the COVID-19 Pandemic. Clinics and Practice, 12(4), 619-627. https://doi.org/10.3390/clinpract12040065

Article Metrics

Back to TopTop